From b7a80a5d282fe8f5e441641d3a7f4ff6e3029243 Mon Sep 17 00:00:00 2001 From: VARUNSHIYAM <138989960+Varunshiyam@users.noreply.github.com> Date: Wed, 16 Oct 2024 21:34:05 +0530 Subject: [PATCH 1/6] Fixing-Issue #617-Nutritive Analysis of Daily Food Uploaded the Entire Nutritive Analysis file in .ipynb Format with a ReadMe file for Easy Understanding --- Nutritive Analysis/Nutrition_Project.ipynb | 2258 ++++++++++++++++++++ Nutritive Analysis/README.md | 75 + 2 files changed, 2333 insertions(+) create mode 100644 Nutritive Analysis/Nutrition_Project.ipynb create mode 100644 Nutritive Analysis/README.md diff --git a/Nutritive Analysis/Nutrition_Project.ipynb b/Nutritive Analysis/Nutrition_Project.ipynb new file mode 100644 index 00000000..bbb25271 --- /dev/null +++ b/Nutritive Analysis/Nutrition_Project.ipynb @@ -0,0 +1,2258 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "69RtwZgg47Ds" + }, + "source": [ + "#
What's on your plate?
\n", + "\n", + "**\"An EDA of Nutrients in Different Food Categories\"**\n", + "\n", + "
\"Insight
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The project aims to analyze the nutrient values of food items in different categories. The dataset used is downloaded from Kaggle, and various Python libraries such as Pandas, Matplotlib, and Seaborn are used for data analysis and visualization. The project provides insights into the distribution of various nutrients such as protein, carbohydrates, fiber, etc., in different food categories. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " \n", + "

Table Of Content

\n", + "\n", + "\n", + "\n", + "* [1. Download the data](#1)\n", + " \n", + "* [2. Data Preparation and Cleaning ](#2)\n", + " \n", + "* [3. Exploratory Analysis and Visualization](#3)\n", + "\n", + "* [4. Ask & Answer Questions ](#4)\n", + "\n", + "* [4. Inferences and conclution](#5)\n", + "\n", + "* [5.References and Future Work](#6)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ruFOanE46Pp2" + }, + "source": [ + " ## \n", + "

Download the data

" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Download and install and import necessary packages." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "id": "Qi3b4I8a6J9f" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds\n", + "Your Kaggle username: nnautiyal\n", + "Your Kaggle Key: ········\n", + "Downloading nutrition-datasets.zip to ./nutrition-datasets\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1.27M/1.27M [00:00<00:00, 77.0MB/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "!pip install opendatasets --upgrade --quiet\n", + "import opendatasets as od\n", + "source_url = \"https://www.kaggle.com/datasets/sathyakrishnan12/nutrition-datasets\"\n", + "od.download(source_url)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['nutrition.csv']" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import os\n", + "os.listdir(\"nutrition-datasets\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# import liabraries\n", + "import pandas as pd\n", + "import numpy as np\n", + "import re\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "pd.set_option(\"display.max_columns\", 100)\n", + "%matplotlib inline\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "window.require && require([\"base/js/namespace\"],function(Jupyter){Jupyter.notebook.save_checkpoint()})" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[jovian] Updating notebook \"nitinmedion/nutrition-data-analysis\" on https://jovian.com\u001b[0m\n", + "[jovian] Committed successfully! https://jovian.com/nitinmedion/nutrition-data-analysis\u001b[0m\n" + ] + }, + { + "data": { + "text/plain": [ + "'https://jovian.com/nitinmedion/nutrition-data-analysis'" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "!pip install jovian --upgrade --quiet\n", + "project_name = \"Nutrition-data-analysis\"\n", + "import jovian\n", + "jovian.commit(project=project_name)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lAxHhpxg6cZf" + }, + "source": [ + "##

Data Preparation and Cleaning

" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# read & load the dataset into pandas dataframe\n", + "df = pd.read_csv(\"nutrition-datasets/nutrition.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "5K2MGNic6iyC", + "outputId": "c1100515-1777-4dc4-ceb6-4a80e6b26f19" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unnamed: 0\n", + "name\n", + "serving_size\n", + "calories\n", + "total_fat\n", + "saturated_fat\n", + "cholesterol\n", + "sodium\n", + "choline\n", + "folate\n", + "folic_acid\n", + "niacin\n", + "pantothenic_acid\n", + "riboflavin\n", + "thiamin\n", + "vitamin_a\n", + "vitamin_a_rae\n", + "carotene_alpha\n", + "carotene_beta\n", + "cryptoxanthin_beta\n", + "lutein_zeaxanthin\n", + "lucopene\n", + "vitamin_b12\n", + "vitamin_b6\n", + "vitamin_c\n", + "vitamin_d\n", + "vitamin_e\n", + "tocopherol_alpha\n", + "vitamin_k\n", + "calcium\n", + "copper\n", + "irom\n", + "magnesium\n", + "manganese\n", + "phosphorous\n", + "potassium\n", + "selenium\n", + "zink\n", + "protein\n", + "alanine\n", + "arginine\n", + "aspartic_acid\n", + "cystine\n", + "glutamic_acid\n", + "glycine\n", + "histidine\n", + "hydroxyproline\n", + "isoleucine\n", + "leucine\n", + "lysine\n", + "methionine\n", + "phenylalanine\n", + "proline\n", + "serine\n", + "threonine\n", + "tryptophan\n", + "tyrosine\n", + "valine\n", + "carbohydrate\n", + "fiber\n", + "sugars\n", + "fructose\n", + "galactose\n", + "glucose\n", + "lactose\n", + "maltose\n", + "sucrose\n", + "fat\n", + "saturated_fatty_acids\n", + "monounsaturated_fatty_acids\n", + "polyunsaturated_fatty_acids\n", + "fatty_acids_total_trans\n", + "alcohol\n", + "ash\n", + "caffeine\n", + "theobromine\n", + "water\n" + ] + } + ], + "source": [ + "# printing the columns\n", + "\n", + "for i in df.columns:\n", + " print(i)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hlypp9XBCBYi", + "outputId": "a90fc82b-17d1-44d6-daeb-576cbc60c0f0" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 8789 entries, 0 to 8788\n", + "Data columns (total 77 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Unnamed: 0 8789 non-null int64 \n", + " 1 name 8789 non-null object\n", + " 2 serving_size 8789 non-null object\n", + " 3 calories 8789 non-null int64 \n", + " 4 total_fat 8789 non-null object\n", + " 5 saturated_fat 7199 non-null object\n", + " 6 cholesterol 8789 non-null object\n", + " 7 sodium 8789 non-null object\n", + " 8 choline 8789 non-null object\n", + " 9 folate 8789 non-null object\n", + " 10 folic_acid 8789 non-null object\n", + " 11 niacin 8789 non-null object\n", + " 12 pantothenic_acid 8789 non-null object\n", + " 13 riboflavin 8789 non-null object\n", + " 14 thiamin 8789 non-null object\n", + " 15 vitamin_a 8789 non-null object\n", + " 16 vitamin_a_rae 8789 non-null object\n", + " 17 carotene_alpha 8789 non-null object\n", + " 18 carotene_beta 8789 non-null object\n", + " 19 cryptoxanthin_beta 8789 non-null object\n", + " 20 lutein_zeaxanthin 8789 non-null object\n", + " 21 lucopene 8789 non-null int64 \n", + " 22 vitamin_b12 8789 non-null object\n", + " 23 vitamin_b6 8789 non-null object\n", + " 24 vitamin_c 8789 non-null object\n", + " 25 vitamin_d 8789 non-null object\n", + " 26 vitamin_e 8789 non-null object\n", + " 27 tocopherol_alpha 8789 non-null object\n", + " 28 vitamin_k 8789 non-null object\n", + " 29 calcium 8789 non-null object\n", + " 30 copper 8789 non-null object\n", + " 31 irom 8789 non-null object\n", + " 32 magnesium 8789 non-null object\n", + " 33 manganese 8789 non-null object\n", + " 34 phosphorous 8789 non-null object\n", + " 35 potassium 8789 non-null object\n", + " 36 selenium 8789 non-null object\n", + " 37 zink 8789 non-null object\n", + " 38 protein 8789 non-null object\n", + " 39 alanine 8789 non-null object\n", + " 40 arginine 8789 non-null object\n", + " 41 aspartic_acid 8789 non-null object\n", + " 42 cystine 8789 non-null object\n", + " 43 glutamic_acid 8789 non-null object\n", + " 44 glycine 8789 non-null object\n", + " 45 histidine 8789 non-null object\n", + " 46 hydroxyproline 8789 non-null object\n", + " 47 isoleucine 8789 non-null object\n", + " 48 leucine 8789 non-null object\n", + " 49 lysine 8789 non-null object\n", + " 50 methionine 8789 non-null object\n", + " 51 phenylalanine 8789 non-null object\n", + " 52 proline 8789 non-null object\n", + " 53 serine 8789 non-null object\n", + " 54 threonine 8789 non-null object\n", + " 55 tryptophan 8789 non-null object\n", + " 56 tyrosine 8789 non-null object\n", + " 57 valine 8789 non-null object\n", + " 58 carbohydrate 8789 non-null object\n", + " 59 fiber 8789 non-null object\n", + " 60 sugars 8789 non-null object\n", + " 61 fructose 8789 non-null object\n", + " 62 galactose 8789 non-null object\n", + " 63 glucose 8789 non-null object\n", + " 64 lactose 8789 non-null object\n", + " 65 maltose 8789 non-null object\n", + " 66 sucrose 8789 non-null object\n", + " 67 fat 8789 non-null object\n", + " 68 saturated_fatty_acids 8789 non-null object\n", + " 69 monounsaturated_fatty_acids 8789 non-null object\n", + " 70 polyunsaturated_fatty_acids 8789 non-null object\n", + " 71 fatty_acids_total_trans 8789 non-null object\n", + " 72 alcohol 8789 non-null object\n", + " 73 ash 8789 non-null object\n", + " 74 caffeine 8789 non-null object\n", + " 75 theobromine 8789 non-null object\n", + " 76 water 8789 non-null object\n", + "dtypes: int64(3), object(74)\n", + "memory usage: 5.2+ MB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "LCpsD1q4DrOv" + }, + "source": [ + "**First lets do few thing befor analysis**\n", + "\n", + "`This Project contains only some essentials vitamins & minerals`\n", + "\n", + "* Dropping and selecting the columns/Rows which are not cover in this project\n", + "* Check whether any null values present inside the dataframe or not.`\n", + "* Rename the columns\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "wjiB20l_Doao", + "outputId": "7f211965-2de5-426e-d5cc-11fb6f91a65c" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Unnamed: 0', 'name', 'serving_size', 'calories', 'total_fat',\n", + " 'saturated_fat', 'cholesterol', 'sodium', 'choline', 'folate',\n", + " 'folic_acid', 'niacin', 'pantothenic_acid', 'riboflavin', 'thiamin',\n", + " 'vitamin_a', 'vitamin_a_rae', 'carotene_alpha', 'carotene_beta',\n", + " 'cryptoxanthin_beta', 'lutein_zeaxanthin', 'lucopene', 'vitamin_b12',\n", + " 'vitamin_b6', 'vitamin_c', 'vitamin_d', 'vitamin_e', 'tocopherol_alpha',\n", + " 'vitamin_k', 'calcium', 'copper', 'irom', 'magnesium', 'manganese',\n", + " 'phosphorous', 'potassium', 'selenium', 'zink', 'protein', 'alanine',\n", + " 'arginine', 'aspartic_acid', 'cystine', 'glutamic_acid', 'glycine',\n", + " 'histidine', 'hydroxyproline', 'isoleucine', 'leucine', 'lysine',\n", + " 'methionine', 'phenylalanine', 'proline', 'serine', 'threonine',\n", + " 'tryptophan', 'tyrosine', 'valine', 'carbohydrate', 'fiber', 'sugars',\n", + " 'fructose', 'galactose', 'glucose', 'lactose', 'maltose', 'sucrose',\n", + " 'fat', 'saturated_fatty_acids', 'monounsaturated_fatty_acids',\n", + " 'polyunsaturated_fatty_acids', 'fatty_acids_total_trans', 'alcohol',\n", + " 'ash', 'caffeine', 'theobromine', 'water'],\n", + " dtype='object')" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "6sP7ox7gDyEy" + }, + "source": [ + "Start with droping the columns which are note covered in this project" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "id": "g2mBc-x_Ccry" + }, + "outputs": [], + "source": [ + "# Drop the columns by drop method\n", + "#df.drop(columns=['col1', 'col2', 'col4'], inplace=True)\n", + "\n", + "# Or you make a new data frame and add then select columns inside it.\n", + "\n", + "df = df[[\n", + " # food\n", + " 'name',\n", + " 'serving_size',\n", + " 'calories',\n", + " # vitamins\n", + " 'vitamin_a','vitamin_b12',\n", + " 'vitamin_b6', 'vitamin_c', 'vitamin_d', 'vitamin_e','carotene_beta','thiamin',\n", + "\n", + " # Protein & minerals\n", + " 'copper', 'irom', 'magnesium',\n", + " 'phosphorous', 'potassium', 'zink', 'protein','calcium',\n", + " # carbs , fats & sugars\n", + " 'carbohydrate', 'fiber', 'sugars',\n", + " 'fat','total_fat','cholesterol','sodium']].copy()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "XNQDWDsgGHsf" + }, + "source": [ + "we have to deal with name columns this cause some uncertainities. While doing EDA and visualization." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "id": "xANRX24z6isT" + }, + "outputs": [], + "source": [ + "df['name'] = df['name'].str.replace(',', '\\n')\n", + "\n", + "# split the columns\n", + "#df[[\"Food\",\"Type\"]] = df[\"name\"].str.split(\",\", n =1, expand=True,)\n", + "\n", + "# drop the original Name columns\n", + "#df = df.drop(\"name\",axis=1)\n", + "\n", + "# reindexing the columns \n", + "#df = df.reindex(columns=['Food', 'Type'] + list(df.columns[:-2]))\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NuvwG57-LD06" + }, + "source": [ + "Check for the null value now" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "YOldJNRqLOHO", + "outputId": "05e10a2b-860d-4c1b-beec-f63803c84bd5" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([], dtype='object')" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns[df.isna().any()]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 214 + }, + "id": "7WzEJCsd8GRx", + "outputId": "ffc2b8f8-14b2-4bb4-efc1-4c21449dc126" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " name serving_size \\\n", + "8788 Beef\\n raw\\n all grades\\n trimmed to 0\" fat\\n ... 100 g \n", + "\n", + " calories vitamin_a vitamin_b12 vitamin_b6 vitamin_c vitamin_d vitamin_e \\\n", + "8788 121 6.00 IU 1.84 mcg 0.644 mg 0.0 mg 1.00 IU 0.24 mg \n", + "\n", + " carotene_beta thiamin copper irom magnesium phosphorous \\\n", + "8788 0.00 mcg 0.063 mg 0.042 mg 1.45 mg 12.00 mg 222.00 mg \n", + "\n", + " potassium zink protein calcium carbohydrate fiber sugars \\\n", + "8788 319.00 mg 3.42 mg 23.37 g 13.00 mg 0.00 g 0.0 g 0.00 g \n", + "\n", + " fat total_fat cholesterol sodium \n", + "8788 3.04 g 3g 60mg 53.00 mg " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.tail(1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
Abbreviations Used in this Project
\n", + "\n", + "\n", + "\n", + "| Column name | Description |\n", + "|---------------|---------------------------------------------------------------------|\n", + "| Food | Name of the Food |\n", + "| Svg_size_g | Serving Size Gram |\n", + "| Ttl_fat_ | Total Fat |\n", + "| Vit_e_mg | Vitamin E (mg) |\n", + "| Vit_D_IU | Vitamin D (IU) |\n", + "| Chol_(mg) | Cholesterol (mg) |\n", + "| Vit_b6_mg | Vitamin B6 is a water-soluble vitamin that is part of the B-vitamin family. |\n", + "| Vit_b12_mcg | Vitamin B12 is a water-soluble vitamin that is part of the B-vitamin family. |\n", + "| Vit_a_iu | Vitamin A is a fat-soluble vitamin that is part of the vitamin A family. |\n", + "| B_carotene_mcg| Beta carotene is a fat-soluble vitamin that is part of the vitamin A family. |\n", + "| Fe_mg | Iron |\n", + "| Mg_mg | Magnesium |\n", + "| P_mg | Phosphorous |\n", + "| K_mg | Potassium |\n", + "| zn_mg | Zinc |\n", + "| Protein_g | Protein |\n", + "| Carbs_g | Carbohydrate |\n", + "| Fiber_g | Fiber |\n", + "| Sugars_g | Sugars |\n", + "| Fat_g | Fat |\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "id": "RolDVzWB1Rzz" + }, + "outputs": [], + "source": [ + "df.rename(columns={\"name\":\"Food\",\"serving_size\":\"Svg_size_g\",'total_fat':'Ttl_fat_g','cholesterol':'Chol_mg',\"sodium\":\"Na_mg\",'thiamin':'B1_mg','vitamin_a':'Vit_a_iu',\"carotene_beta\":'B_carotene_mcg',\"vitamin_b12\":'Vit_b12_mcg',\n", + " 'vitamin_b6': 'Vit_b6_mg','vitamin_c':'Vit_c_mg','vitamin_d':'Vit_d_iu','vitamin_e':'Vit_e_mg','calcium':'Ca_mg','copper':'Cu_mg',\n", + " 'irom':'Fe_mg','magnesium':'Mg_mg','phosphorous':'P_mg',\"potassium\":\"K_mg\",\"zink\":'Zn_mg','protein':'Protein_g','carbohydrate':'Carbs_g','fiber':'Fiber_g','sugars':'Sugars_g','fat':'Fat_g'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "yb61cFgf1Rry", + "outputId": "b1460fe1-7d93-475a-db50-aaf645435521" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Food object\n", + "Svg_size_g object\n", + "calories int64\n", + "Vit_a_iu object\n", + "Vit_b12_mcg object\n", + "Vit_b6_mg object\n", + "Vit_c_mg object\n", + "Vit_d_iu object\n", + "Vit_e_mg object\n", + "B_carotene_mcg object\n", + "B1_mg object\n", + "Cu_mg object\n", + "Fe_mg object\n", + "Mg_mg object\n", + "P_mg object\n", + "K_mg object\n", + "Zn_mg object\n", + "Protein_g object\n", + "Ca_mg object\n", + "Carbs_g object\n", + "Fiber_g object\n", + "Sugars_g object\n", + "Fat_g object\n", + "Ttl_fat_g object\n", + "Chol_mg object\n", + "Na_mg object\n", + "dtype: object" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "id": "ThggjTOxJygO" + }, + "outputs": [], + "source": [ + "\n", + "# dealing with miniscule amounts\n", + "cols_to_clean = list(df.columns[2:])\n", + "df[cols_to_clean] = df[cols_to_clean].replace({\"mg\": \"\", \"g\": \"\",\"mc\":\"\",\"IU\":\"\"}, regex=True).astype(float)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 300 + }, + "id": "8vC6ef95jI_r", + "outputId": "4ca424dc-0d46-4cf1-a88e-358764dc815c" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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caloriesVit_a_iuVit_b12_mcgVit_b6_mgVit_c_mgVit_d_iuVit_e_mgB_carotene_mcgB1_mgCu_mgFe_mgMg_mgP_mgK_mgZn_mgProtein_gCa_mgCarbs_gFiber_gSugars_gFat_gTtl_fat_gChol_mgNa_mg
count8789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.000000
mean226.283878676.3205141.2017160.2613248.35654814.5608150.885576141.7162360.2079290.1674822.64576432.262032153.844123265.2512231.93974511.34561673.31732822.1219152.0400736.75629310.55079410.55685538.723063306.353851
std169.8620013694.7395534.2719080.46771365.624854123.6438923.8132601030.7553500.5103590.5434265.66104655.837795202.198353371.4435243.33576610.530602199.85042527.2662614.26918113.71889015.81487015.818247117.358944939.220468
min0.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
25%91.0000000.0000000.0000000.0350000.0000000.0000000.0000000.0000000.0300000.0280000.49000010.00000035.000000111.0000000.2200002.3800008.0000000.0500000.0000000.0000000.9500001.0000000.00000036.000000
50%191.00000020.0000000.0700000.1190000.0000000.0000000.1200000.0000000.0770000.0770001.31000020.000000129.000000219.0000000.8000008.02000019.0000009.3400000.4000000.4900005.1300005.1000002.00000084.000000
75%337.000000208.0000001.2700000.3570002.4000001.0000000.4600002.0000000.2270000.1400002.57000029.000000215.000000329.0000002.66000019.88000063.00000034.9100002.4000006.05000013.72000014.00000065.000000396.000000
max902.000000100000.00000098.89000012.0000002732.00000010000.000000149.40000042891.00000023.37500015.050000123.600000781.0000009918.00000016500.00000090.95000088.3200007364.000000100.00000079.00000099.800000100.000000100.0000003100.00000038758.000000
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" + ], + "text/plain": [ + " calories Vit_a_iu Vit_b12_mcg Vit_b6_mg Vit_c_mg \\\n", + "count 8789.000000 8789.000000 8789.000000 8789.000000 8789.000000 \n", + "mean 226.283878 676.320514 1.201716 0.261324 8.356548 \n", + "std 169.862001 3694.739553 4.271908 0.467713 65.624854 \n", + "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "25% 91.000000 0.000000 0.000000 0.035000 0.000000 \n", + "50% 191.000000 20.000000 0.070000 0.119000 0.000000 \n", + "75% 337.000000 208.000000 1.270000 0.357000 2.400000 \n", + "max 902.000000 100000.000000 98.890000 12.000000 2732.000000 \n", + "\n", + " Vit_d_iu Vit_e_mg B_carotene_mcg B1_mg Cu_mg \\\n", + "count 8789.000000 8789.000000 8789.000000 8789.000000 8789.000000 \n", + "mean 14.560815 0.885576 141.716236 0.207929 0.167482 \n", + "std 123.643892 3.813260 1030.755350 0.510359 0.543426 \n", + "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "25% 0.000000 0.000000 0.000000 0.030000 0.028000 \n", + "50% 0.000000 0.120000 0.000000 0.077000 0.077000 \n", + "75% 1.000000 0.460000 2.000000 0.227000 0.140000 \n", + "max 10000.000000 149.400000 42891.000000 23.375000 15.050000 \n", + "\n", + " Fe_mg Mg_mg P_mg K_mg Zn_mg \\\n", + "count 8789.000000 8789.000000 8789.000000 8789.000000 8789.000000 \n", + "mean 2.645764 32.262032 153.844123 265.251223 1.939745 \n", + "std 5.661046 55.837795 202.198353 371.443524 3.335766 \n", + "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "25% 0.490000 10.000000 35.000000 111.000000 0.220000 \n", + "50% 1.310000 20.000000 129.000000 219.000000 0.800000 \n", + "75% 2.570000 29.000000 215.000000 329.000000 2.660000 \n", + "max 123.600000 781.000000 9918.000000 16500.000000 90.950000 \n", + "\n", + " Protein_g Ca_mg Carbs_g Fiber_g Sugars_g \\\n", + "count 8789.000000 8789.000000 8789.000000 8789.000000 8789.000000 \n", + "mean 11.345616 73.317328 22.121915 2.040073 6.756293 \n", + "std 10.530602 199.850425 27.266261 4.269181 13.718890 \n", + "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "25% 2.380000 8.000000 0.050000 0.000000 0.000000 \n", + "50% 8.020000 19.000000 9.340000 0.400000 0.490000 \n", + "75% 19.880000 63.000000 34.910000 2.400000 6.050000 \n", + "max 88.320000 7364.000000 100.000000 79.000000 99.800000 \n", + "\n", + " Fat_g Ttl_fat_g Chol_mg Na_mg \n", + "count 8789.000000 8789.000000 8789.000000 8789.000000 \n", + "mean 10.550794 10.556855 38.723063 306.353851 \n", + "std 15.814870 15.818247 117.358944 939.220468 \n", + "min 0.000000 0.000000 0.000000 0.000000 \n", + "25% 0.950000 1.000000 0.000000 36.000000 \n", + "50% 5.130000 5.100000 2.000000 84.000000 \n", + "75% 13.720000 14.000000 65.000000 396.000000 \n", + "max 100.000000 100.000000 3100.000000 38758.000000 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lqfHuPY31lA8" + }, + "source": [ + "One last time check for nan values" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "K4-f6nyk1j_h", + "outputId": "1cedda55-147c-4204-a9ee-811b35467a3a" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Index([], dtype='object')" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns[df.isna().any()]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Check for Duplicate**" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.duplicated(subset=[\"Food\"]).sum() " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "id": "gpIFjYtp1ju7" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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FoodSvg_size_gcaloriesVit_a_iuVit_b12_mcgVit_b6_mgVit_c_mgVit_d_iuVit_e_mgB_carotene_mcgB1_mgCu_mgFe_mgMg_mgP_mgK_mgZn_mgProtein_gCa_mgCarbs_gFiber_gSugars_gFat_gTtl_fat_gChol_mgNa_mg
0Cornstarch100 g381.00.00.000.0000.00.00.000.00.0000.0500.473.013.03.00.060.262.091.270.90.000.050.10.09.0
1Nuts\\n pecans100 g691.056.00.000.2101.10.01.4029.00.6601.2002.53121.0277.0410.04.539.1770.013.869.63.9771.9772.00.00.0
2Eggplant\\n raw100 g25.023.00.000.0842.20.00.3014.00.0390.0810.2314.024.0229.00.160.989.05.883.03.530.180.20.02.0
3Teff\\n uncooked100 g367.09.00.000.4820.00.00.085.00.3900.8107.63184.0429.0427.03.6313.30180.073.138.01.842.382.40.012.0
4Sherbet\\n orange100 g144.046.00.130.0232.30.00.011.00.0270.0280.148.040.096.00.481.1054.030.401.324.322.002.01.046.0
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" + ], + "text/plain": [ + " Food Svg_size_g calories Vit_a_iu Vit_b12_mcg Vit_b6_mg \\\n", + "0 Cornstarch 100 g 381.0 0.0 0.00 0.000 \n", + "1 Nuts\\n pecans 100 g 691.0 56.0 0.00 0.210 \n", + "2 Eggplant\\n raw 100 g 25.0 23.0 0.00 0.084 \n", + "3 Teff\\n uncooked 100 g 367.0 9.0 0.00 0.482 \n", + "4 Sherbet\\n orange 100 g 144.0 46.0 0.13 0.023 \n", + "\n", + " Vit_c_mg Vit_d_iu Vit_e_mg B_carotene_mcg B1_mg Cu_mg Fe_mg Mg_mg \\\n", + "0 0.0 0.0 0.00 0.0 0.000 0.050 0.47 3.0 \n", + "1 1.1 0.0 1.40 29.0 0.660 1.200 2.53 121.0 \n", + "2 2.2 0.0 0.30 14.0 0.039 0.081 0.23 14.0 \n", + "3 0.0 0.0 0.08 5.0 0.390 0.810 7.63 184.0 \n", + "4 2.3 0.0 0.01 1.0 0.027 0.028 0.14 8.0 \n", + "\n", + " P_mg K_mg Zn_mg Protein_g Ca_mg Carbs_g Fiber_g Sugars_g Fat_g \\\n", + "0 13.0 3.0 0.06 0.26 2.0 91.27 0.9 0.00 0.05 \n", + "1 277.0 410.0 4.53 9.17 70.0 13.86 9.6 3.97 71.97 \n", + "2 24.0 229.0 0.16 0.98 9.0 5.88 3.0 3.53 0.18 \n", + "3 429.0 427.0 3.63 13.30 180.0 73.13 8.0 1.84 2.38 \n", + "4 40.0 96.0 0.48 1.10 54.0 30.40 1.3 24.32 2.00 \n", + "\n", + " Ttl_fat_g Chol_mg Na_mg \n", + "0 0.1 0.0 9.0 \n", + "1 72.0 0.0 0.0 \n", + "2 0.2 0.0 2.0 \n", + "3 2.4 0.0 12.0 \n", + "4 2.0 1.0 46.0 " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now add a category column that contains a specific string that matches the `Food` name for the better analysis of this data" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "id": "SazdfS0k1js9" + }, + "outputs": [], + "source": [ + "# create a dictionary of food categories and their corresponding keywords\n", + "categories = {\n", + " 'Vegetables': ['broccoli', 'spinach', 'kale', 'carrots', 'tomatoes', 'bell peppers', 'cucumbers', 'zucchini', 'eggplant', 'cauliflower', 'cabbage', 'onions', 'sweet potatoes', 'green beans', 'peas', 'asparagus', 'Brussels sprouts', 'artichokes', 'beets', 'radishes'],\n", + " 'Meat': ['beef', 'pork', 'lamb', 'goat', 'chicken', 'turkey', 'duck','goose', 'rabbit', 'bison'],\n", + " 'Poultry': ['chicken', 'turkey', 'duck', 'quail', 'goose', 'pigeon', 'pheasant'],\n", + " 'Fat food': ['butter', 'cheese', 'lard', 'margarine', 'shortening'],\n", + " 'Dairy Products': ['milk', 'yogurt', 'cheese', 'cream', 'butter', 'ice cream', 'sour cream', 'cottage cheese'],\n", + " 'Drinks and alcohol': ['water', 'coffee', 'tea', 'soda', 'juice', 'beer', 'wine', 'liquor'],\n", + " 'Dessert Sweets': ['cake', 'pie', 'chocolate', 'candy', 'cookies', 'ice cream'],\n", + " 'Seeds and Nuts': ['almonds', 'cashews', 'peanuts', 'pistachios', 'walnuts', 'sesame seeds', 'flax seeds', 'chia seeds']\n", + "}\n", + "\n", + "# create a dictionary of food categories \n", + "\n", + "df['Category'] = ''\n", + "\n", + "# iterate through each food category and assign the corresponding category to the food items\n", + "for category, keywords in categories.items():\n", + " df.loc[df['Food'].str.contains('|'.join(keywords), case=False), 'Category'] = category" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# Now delete the remaining rows which are not in the categories.\n", + "df['Category'].replace('', np.nan, inplace=True)\n", + "\n", + "df.dropna(subset=[\"Category\"], inplace = True)\n", + "df.reset_index(drop=True , inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Meat 1336\n", + "Drinks and alcohol 1023\n", + "Dairy Products 774\n", + "Poultry 659\n", + "Dessert Sweets 659\n", + "Vegetables 254\n", + "Fat food 70\n", + "Seeds and Nuts 56\n", + "Name: Category, dtype: int64" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"Category\"].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ky71iBIK6k_z" + }, + "source": [ + "##

Exploratory Analysis and Visualization

" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "id": "82gdJi8E6smT" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize = (20,10), dpi = 100)\n", + "sns.set(style=\"whitegrid\")\n", + "Category_count = df['Category'].value_counts()\n", + "ax = sns.barplot(x=Category_count.index,y=Category_count.values ,palette='mako');\n", + "\n", + "# set x & y label\n", + "ax.set_ylabel('Food Counts', fontsize = 20)\n", + "ax.set_xlabel(\"Food Category\", fontsize = 20)\n", + "\n", + "# grid color\n", + "ax.grid(color='#6495ed', linewidth=1, axis='y', alpha=.3)\n", + "\n", + "# set title\n", + "ax.set_title(\"Distribution of Food Categories\", fontsize = 25)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Majority of food items belong to the `Meat` category, followed by `Drinks and alcohal` and `Dairy Products`. The `Dessert Sweets` and `Poultry` categories also have a significant number of food items.\n", + "\n", + "On the other hand, the `Vegetables`, `Fat food`, and `Seeds and Nuts` categories have a relatively small number of food items in the dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "id": "Kb3p0sWM6sdy" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "\n", + "# create a new dataframe with only the necessary columns\n", + "Calories_df = df[['Category', 'calories']]\n", + "\n", + "# create a histogram for each food category\n", + "plt.rc('font', family='serif', size=12)\n", + "fig, ax = plt.subplots(figsize = (10,5), dpi = 100)\n", + "ax = sns.histplot(data=df, x='calories', hue='Category', multiple='stack')\n", + "\n", + "# set title & labels\n", + "ax.set_title(\"Distribution of Calories\", fontsize = 20)\n", + "ax.set_xlabel(\"Calories Per 100 gram Serving\")\n", + "ax.set_ylabel(\" Value Counts\")\n", + "ax.set_xticks(np.arange(0,1000,100))\n", + "\n", + "# set x-tick labels to show \"kcal\"\n", + "x_ticks = plt.xticks()[0]\n", + "plt.xticks(x_ticks, [f\"{int(x)} kcal\" for x in x_ticks])\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Qmx1qUAU6uha" + }, + "source": [ + "**Insight**\n", + "\n", + "Based on the above Histograph plot of calorie values for each food category, some observation are :-\n", + "\n", + "* The majority of the Meat item fall in the range of 150 to 300 kcal per 100 g serving.\n", + "* Poultry items are mostly in the range of 150-200 kcal per 100g serving with some outliers above 300 kcal\n", + "* Dairy Products have a wide range of calorie counts , with many items falling in the range\n", + "* Suprisingly desserts sweets are in the wide range 200 to 500 kcal per 100 gram serving\n", + "* Fat food items have a high range of calories value,with most numbers are falling above 500 or some are over 800 kcal per 100 gram servings.\n", + "* Vegetables have a low range of calories values,with most item falling below 100 kcal .\n", + "\n", + "Overall, it can be concluded that different food categories have varying ranges of calories values,with some category having a wide range some have a naroow range. It is important to be aware of the calorie content of foods when making dietary choices" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "# create a scatter plot of protein vs. carbohydrates\n", + "plt.rc('font', family='sans-serif', size=12)\n", + "plt.subplots(figsize = (10,8), dpi = 100)\n", + "sns.scatterplot(x='Protein_g',hue = 'Category', y='Carbs_g', data=df)\n", + "\n", + "# set the title and x and y axis labels\n", + "\n", + "plt.title('Protein vs. Carbohydrates Scatter Plot')\n", + "plt.xlabel('Protein (g)')\n", + "plt.ylabel('Carbohydrates (g)')\n", + "\n", + "#\n", + "\n", + "# show the plot\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Insight**\n", + "\n", + "Based on the above scatter plot , we can see that\n", + "- The meat category has a high concentration of protein and relatievely low carbs, with some outliers that have high carbs.\n", + "- Vegetables has a wide range of carbs, with a maximum of aroung 40-80 g , and a relatievely low concentration.\n", + "- The poultry category has a relatively low concentration of carbs,with most of the data points having below 40 and a high no of protein(g) per 100 gram serving\n", + "- The drinks and alcohal category are most in the range of below 20 carbs and relatievely low concentration of Protein .But some drinks has protein obviously they are juices.\n", + "- The dairy products category has a wide range of nutrient value , with some outliers having high protein and some having high carbs\n", + "\n", + " `Overall, scatetr plot shows that there is an wide range of nutrient value accross different food category.The meat category is high in protein , whereas as vegetables are high in carbs, and poultry is relatively low in carbs and high in protein.While the dairy category has a wide range of nutrient value`" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# filter the dataframe for Meat and Vegetables categories\n", + "meat_vegetables_df = df[df[\"Category\"].isin([\"Dairy Products\", \"Meat\"])]\n", + "\n", + "# group the filtered dataframe by Category and calculate mean values of calories, protein, and fat\n", + "grouped_df = meat_vegetables_df.groupby(\"Category\")[[\"Protein_g\", \"Fat_g\"]].mean()\n", + "\n", + "grouped_df.plot(kind=\"bar\", figsize=(12,8))\n", + "plt.title(\"Meat vs Dairy Products\", fontsize=16)\n", + "plt.yticks(np.arange(0,30,5))\n", + "plt.ylabel(\"Nutrition Values\", fontsize=14)\n", + "plt.xlabel(\"Category\", fontsize=14)\n", + "plt.xticks(rotation=0, fontsize=12)\n", + "plt.legend(fontsize=12)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Insight**\n", + "\n", + "Based on tha analysis of the Meat and dairy products categories.it can observed that meat are slightly higher protein compared to the dairy products .On the other hand , dairy products are slightly higher in fat compared to meat products\n", + "\n", + "This suggest that individuall looking for high protein diet may prefer Meat products.\n", + "While those looking to substitute protein with other food option can consider dairy products.\n", + "\n", + "`However, it is important dairy prducts are also high in fat content consider this data 100gram of per seving`\n", + "\n", + "individuals should be mindful of their overall nutrient intake and consider low-fat dairy options if necessary." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Food', 'Svg_size_g', 'calories', 'Vit_a_iu', 'Vit_b12_mcg',\n", + " 'Vit_b6_mg', 'Vit_c_mg', 'Vit_d_iu', 'Vit_e_mg', 'B_carotene_mcg',\n", + " 'B1_mg', 'Cu_mg', 'Fe_mg', 'Mg_mg', 'P_mg', 'K_mg', 'Zn_mg',\n", + " 'Protein_g', 'Ca_mg', 'Carbs_g', 'Fiber_g', 'Sugars_g', 'Fat_g',\n", + " 'Ttl_fat_g', 'Chol_mg', 'Na_mg', 'Category'],\n", + " dtype='object')" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "# create a correlation matrix of the nutrients\n", + "corr_matrix = df[['calories', 'Fat_g', 'Protein_g', 'Carbs_g', 'Fiber_g', 'Sugars_g']].corr()\n", + "\n", + "# plot the correlation matrix as a heat map using seaborn\n", + "plt.figure(figsize=(15,8))\n", + "ax = sns.heatmap(corr_matrix, cmap='coolwarm')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Insight**\n", + "\n", + "- The correlation heatmap shows that there is a negative correlation (-0.4) dark blue color between carbohydrates and food.As noted in the scatter plot of protein vs. carbohydrates, higher protein foods tend to have lower levels of carbohydrates.\n", + "\n", + "- Similarly, there is a weak negative correlation between protein and fat (-0.2), indicating that foods high in protein tend to be lower in fat.\n", + "\n", + "- On the other hand, there is a strong positive correlation between calories and fat (0.8), which means that high-calorie foods tend to be high in fat. \n", + "\n", + "- Positive correlation between carbs and sugars (0.6), suggesting that foods high in carbs often contain high levels of sugars." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IScjf2IH6v2Y" + }, + "source": [ + "##

Ask & Answer Questions

" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "kCaZoFKO64AK" + }, + "source": [ + "### **Q. what are the top categories from high to low protein?\"**" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "id": "hnPNQ8zk639g" + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "grouped_by = df.groupby(\"Category\")[\"Protein_g\"].mean()\n", + "\n", + "sorted_series = grouped_by.sort_values(ascending=False)\n", + "plt.subplots(figsize = (15,8), dpi = 100)\n", + "plt.bar(sorted_series.index,sorted_series.values,)\n", + "plt.xlabel(\"Category\")\n", + "plt.ylabel(\"Protein Content\")\n", + "plt.title(\"Top Categories by protein content\", size=15)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "* Meat, seeds and nuts, and poultry are the top three categories with the highest protein content. This suggests that these foods are good sources of protein for individuals who are looking to increase their protein intake.\n", + "\n", + "* It is interesting to note that drinks and alcohol are also among the top categories with high protein content. This could be due to the fact that some drinks, such as protein shakes and smoothies, are specifically designed to provide high amounts of protein.\n", + "\n", + "* Dessert sweets, vegetables, and fat food are among the categories with the lowest protein content. This suggests that individuals who are looking to increase their protein intake should focus on incorporating more foods from the top categories into their diet." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "JISiz65b636n" + }, + "source": [ + "### **Q: What are the top 5 food items with the highest protein content?**" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "id": "OC6YjBgx633-" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "high_protein_df = df[df[\"Protein_g\"] > 20]\n", + "\n", + "top_5 = high_protein_df.sort_values(\"Protein_g\",ascending=False).head(5)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "ax.barh(top_5['Food'], top_5['Protein_g'], color='blue')\n", + "\n", + "# set the axis labels and title\n", + "plt.xlabel(\"Protein (g)\")\n", + "plt.ylabel(\"Food\")\n", + "plt.title(\"Top 10 Foods by Protein Content\")\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Insights** \\\n", + "The bar plot represents the top 5 food items with the highest protein content. It shows that snacks plain pork skins have the highest protein content, followed by Snacks barbecue flavor pork skins, protein supplement powder muscle milk-based, protein supplement powder muscle milk-based, and cheese low sodium parmesan. It is interesting to note that all of these items belong to the snacks and supplement category. This suggests that people who want to increase their protein intake tend to rely on supplements and snacks rather than whole foods. It is also worth noting that these items are high in protein but may not necessarily be healthy due to their high fat content. Therefore, it is important to balance protein intake with a variety of other healthy foods." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "C2Gw5up1631O" + }, + "source": [ + "### **Q Which food categories are the highest sources of Minerals ?**" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Food', 'Svg_size_g', 'calories', 'Vit_a_iu', 'Vit_b12_mcg',\n", + " 'Vit_b6_mg', 'Vit_c_mg', 'Vit_d_iu', 'Vit_e_mg', 'B_carotene_mcg',\n", + " 'B1_mg', 'Cu_mg', 'Fe_mg', 'Mg_mg', 'P_mg', 'K_mg', 'Zn_mg',\n", + " 'Protein_g', 'Ca_mg', 'Carbs_g', 'Fiber_g', 'Sugars_g', 'Fat_g',\n", + " 'Ttl_fat_g', 'Chol_mg', 'Na_mg', 'Category'],\n", + " dtype='object')" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "id": "8_ymR2Ta63vq" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "minerals_df = df[[\"Category\",\"Zn_mg\",\"Mg_mg\",\"P_mg\",\"Fe_mg\"]]\n", + "\n", + "grouped_df = minerals_df.groupby(\"Category\").mean()\n", + "\n", + "grouped_df.plot(kind=\"bar\", figsize=(12,8))\n", + "plt.xticks(rotation=45)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This shows that seeds and nuts are the highest sources of both potassium and magnesium. Meat is also a good source of potassium, but not as high as seeds and nuts. Dairy products, especially milk and cheese, are good sources of Potasssium but not as high in potassium as seeds and nuts" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### **Q. what are the top categories from high to low Calories?\"**" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "grouped_by = df.groupby(\"Category\")[\"calories\"].mean()\n", + "\n", + "sorted_series = grouped_by.sort_values(ascending=False)\n", + "plt.subplots(figsize = (15,8), dpi = 100)\n", + "plt.bar(sorted_series.index,sorted_series.values,)\n", + "plt.xlabel(\"Category\")\n", + "plt.ylabel(\"Carories Content\")\n", + "plt.title(\"Top Categories by Calories\", size=15)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Insights based on the bar plot:\n", + "\n", + "* The highest calorie category is seeds and nuts, which may come as a surprise to some people who think of these foods as healthy snacks.\n", + "* The fact that fat foods are the second-highest calorie category may not be surprising to many people, as these foods are often associated with high calorie content.\n", + "* Dessert sweets being the third-highest calorie category is also not surprising, as these foods are often high in sugar and fat.\n", + "* Dairy products are relatively high in calories compared to other food categories, which may be unexpected for some people who view dairy as a healthy source of calcium.\n", + "* Meat and poultry are also high in calories, which may be expected for some people who associate these foods with protein and energy.\n", + "* Finally, drinks and alcohol are the lowest calorie category, which may be expected for some people who think of liquid calories as less filling or satisfying than solid food. However, it's worth noting that some alcoholic beverages can be high in calories, especially if they contain added sugar or mixers." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### **Q: Create a Dataframe Category with most fiber**" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CategoryMean Fiber (g)
0Seeds and Nuts8.573214
1Vegetables2.880709
2Dessert Sweets2.502731
3Dairy Products1.291602
4Fat food0.458571
5Poultry0.433536
6Drinks and alcohol0.336755
7Meat0.126347
\n", + "
" + ], + "text/plain": [ + " Category Mean Fiber (g)\n", + "0 Seeds and Nuts 8.573214\n", + "1 Vegetables 2.880709\n", + "2 Dessert Sweets 2.502731\n", + "3 Dairy Products 1.291602\n", + "4 Fat food 0.458571\n", + "5 Poultry 0.433536\n", + "6 Drinks and alcohol 0.336755\n", + "7 Meat 0.126347" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "top_fiber = df.groupby('Category')['Fiber_g'].mean().nlargest(10)\n", + "\n", + "top_fiber_df = top_fiber.reset_index(name='Mean Fiber (g)').head(10)\n", + "top_fiber_df" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "window.require && require([\"base/js/namespace\"],function(Jupyter){Jupyter.notebook.save_checkpoint()})" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[jovian] Updating notebook \"nitinmedion/nutrition-data-analysis\" on https://jovian.com\u001b[0m\n", + "[jovian] Committed successfully! https://jovian.com/nitinmedion/nutrition-data-analysis\u001b[0m\n" + ] + }, + { + "data": { + "text/plain": [ + "'https://jovian.com/nitinmedion/nutrition-data-analysis'" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "jovian.commit()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "DoFyoHKl69sg" + }, + "source": [ + "##

Inferences and conclution

" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "syMcmGp-6_mO" + }, + "source": [ + "\n", + "The main aim of the project is to analyze the nutritional value of food items across different categories. Through our analysis, we found that the meat category has a high concentration of protein, whereas seeds and nuts are rich in fiber. Categories such as fat foods and desserts are high in calories. Our conclusions are based on analyzing various food categories. \n", + "\n", + "we can conclude that different food categories have different nutrient compositions, and it's important to consider these differences when planning a balanced diet. By identifying the categories that are rich in specific nutrients, we can also make informed choices about the types of food we consume to meet our nutritional needs. Overall, this project provides valuable insights into the nutrient composition of different food categories and can be useful for both individuals and professionals in the food and health industries.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_wZaHcn47OUO" + }, + "source": [] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "gpuClass": "standard", + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Nutritive Analysis/README.md b/Nutritive Analysis/README.md new file mode 100644 index 00000000..b301ab74 --- /dev/null +++ b/Nutritive Analysis/README.md @@ -0,0 +1,75 @@ +## Project Title: Nutritive Analysis of Daily Foods (Exploratory Project) +#### Author: VARUNSHIYAM S + +------------ + + + +**Description** + +This project explores the nutritional composition of everyday foods through exploratory data analysis. Using Python libraries such as pandas, NumPy, matplotlib, and seaborn, we aim to uncover insights into the nutritional landscape of common diets. + +------------ + + +**Data Source** + +The primary dataset is sourced from *Kaggle*, accessible via Nutrition Datasets. This dataset provides comprehensive information on various food items, including macronutrient profiles (carbohydrates, proteins, fats), vitamins, minerals, and other relevant attributes. + +------------ + + +**Project Goals** + +- Uncover Nutritional Trends and Patterns: + +Explore nutrient distribution across different food groups and categories. +Identify correlations between various nutrients. + +- Gain Insights into Dietary Choices: + +Analyze how frequently consumed foods contribute to overall nutrient intake. +Identify potential areas for improvement in dietary habits. + +- Develop Data Analysis and Visualization Skills: + +Apply Python libraries effectively to clean, manipulate, and analyze nutritional data. +Create informative visualizations to communicate findings. + +------------ + + +**Methodology** + + +Data Acquisition and Preprocessing: +- Download the Kaggle dataset using Python libraries (e.g., kaggle API). +- Perform data cleaning tasks: handle missing values, outliers, and inconsistencies. +- Transform data into a suitable format for analysis (e.g., create categorical variables, calculate ratios). + +Exploratory Data Analysis: +- Utilize pandas and NumPy for calculating descriptive statistics across food groups. +- Employ matplotlib and seaborn for creating histograms, boxplots, scatter plots, etc., - to reveal trends. +- Investigate nutrient correlations using techniques like Pearson's correlation coefficient. + +Dietary Insights: +- Analyze nutrient contributions from frequently consumed foods. +- Recommend improvements in dietary habits based on analysis. + +Future Directions: +- Refine analysis based on initial findings. +- Develop predictive models or hypothesis testing. +- Communicate results effectively through visualizations, reports, or presentations. + +------------ + + +**Technologies and Libraries** +- Python +- Pandas +- NumPy +- Matplotlib +- Seaborn + +------------ + From a850a80897c25cffe1a225e925142355811c1c64 Mon Sep 17 00:00:00 2001 From: VARUNSHIYAM <138989960+Varunshiyam@users.noreply.github.com> Date: Fri, 18 Oct 2024 10:21:01 +0530 Subject: [PATCH 2/6] Updated Admin Profile and mentor Profile in Contact section in Readme.md --- README.md | 35 +++++++++++++++++++++++++++++++++++ 1 file changed, 35 insertions(+) diff --git a/README.md b/README.md index 573744cf..520a2353 100644 --- a/README.md +++ b/README.md @@ -18,6 +18,10 @@ +
+ +
+
## 📊 **Visual Workflow Diagram for PyVerse** @@ -169,6 +173,37 @@ This project is licensed under the **MIT License**. For more details, check out ## 📞 **Contact Information** +### Project Admin⚡ + + + + + +

UTSAV SINGHAL

+ +
+ +### Project Mentors✨ + + + + + + + +

SURAJ SAHU +

+ +

ARPIT MISHRA +

+ +

RUHI TYAGI +

+ +
+ +--- + Got questions? Want to suggest improvements? Open an issue on GitHub or contact the project admin, **Utsav Singhal**, at: 📧 **utsavsinghal26@gmail.com** From 34a5869d312976f3358e34d082dede9e2a7c2f01 Mon Sep 17 00:00:00 2001 From: VARUNSHIYAM <138989960+Varunshiyam@users.noreply.github.com> Date: Fri, 18 Oct 2024 11:34:37 +0530 Subject: [PATCH 3/6] Updated Contributors Profile --- README.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/README.md b/README.md index 520a2353..a70d7bb5 100644 --- a/README.md +++ b/README.md @@ -204,6 +204,12 @@ This project is licensed under the **MIT License**. For more details, check out --- + + + + +--- + Got questions? Want to suggest improvements? Open an issue on GitHub or contact the project admin, **Utsav Singhal**, at: 📧 **utsavsinghal26@gmail.com** From 7c006a99ffe9d87ad07843df349c9c3e0b93f08b Mon Sep 17 00:00:00 2001 From: VARUNSHIYAM <138989960+Varunshiyam@users.noreply.github.com> Date: Fri, 18 Oct 2024 13:09:25 +0530 Subject: [PATCH 4/6] Update Contributors Section in Readme.md --- README.md | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index a70d7bb5..d2465bfd 100644 --- a/README.md +++ b/README.md @@ -203,15 +203,22 @@ This project is licensed under the **MIT License**. For more details, check out --- +Got questions? Want to suggest improvements? Open an issue on GitHub or contact the project admin, **Utsav Singhal**, at: +📧 **utsavsinghal26@gmail.com** + +--- + +## Our Contributors 🌏 + +We extend our profound appreciation for your invaluable contributions to this project. Your dedication, ingenuity, and collaborative spirit have been pivotal in transforming PyVerse. ✨ + +Each line of code, every insightful suggestion, and all the meticulous documentation you've provided have been essential to our collective success. 💻 We recognize and celebrate the passion and expertise you bring to this endeavor. +
- ---- - -Got questions? Want to suggest improvements? Open an issue on GitHub or contact the project admin, **Utsav Singhal**, at: -📧 **utsavsinghal26@gmail.com** +
--- From 0a2d8a5733f36942e2301d017eabbaaca0488c2c Mon Sep 17 00:00:00 2001 From: VARUNSHIYAM <138989960+Varunshiyam@users.noreply.github.com> Date: Fri, 18 Oct 2024 13:14:50 +0530 Subject: [PATCH 5/6] Updated Contributors Profile --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d2465bfd..b151ff93 100644 --- a/README.md +++ b/README.md @@ -210,9 +210,9 @@ Got questions? Want to suggest improvements? Open an issue on GitHub or contact ## Our Contributors 🌏 -We extend our profound appreciation for your invaluable contributions to this project. Your dedication, ingenuity, and collaborative spirit have been pivotal in transforming PyVerse. ✨ +We extend our profound appreciation for your invaluable contributions to our project PyVerse: Python Universe of Projects and Tools. Your dedication, ingenuity, and collaborative spirit have been pivotal in transforming PyVerse. ✨ -Each line of code, every insightful suggestion, and all the meticulous documentation you've provided have been essential to our collective success. 💻 We recognize and celebrate the passion and expertise you bring to this endeavor. +Each line of code, every insightful suggestion, and all the meticulous documentation provided have been essential to our collective success. 💻 We recognize and celebrate the passion and expertise you bring to this endeavor.
From 6bb6ba7f5eb154ea6c74fbe32860a583f00fdf8e Mon Sep 17 00:00:00 2001 From: VARUNSHIYAM <138989960+Varunshiyam@users.noreply.github.com> Date: Fri, 18 Oct 2024 13:40:42 +0530 Subject: [PATCH 6/6] Delete Nutritive Analysis directory --- Nutritive Analysis/Nutrition_Project.ipynb | 2258 -------------------- Nutritive Analysis/README.md | 75 - 2 files changed, 2333 deletions(-) delete mode 100644 Nutritive Analysis/Nutrition_Project.ipynb delete mode 100644 Nutritive Analysis/README.md diff --git a/Nutritive Analysis/Nutrition_Project.ipynb b/Nutritive Analysis/Nutrition_Project.ipynb deleted file mode 100644 index bbb25271..00000000 --- a/Nutritive Analysis/Nutrition_Project.ipynb +++ /dev/null @@ -1,2258 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "69RtwZgg47Ds" - }, - "source": [ - "#
What's on your plate?
\n", - "\n", - "**\"An EDA of Nutrients in Different Food Categories\"**\n", - "\n", - "
\"Insight
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The project aims to analyze the nutrient values of food items in different categories. The dataset used is downloaded from Kaggle, and various Python libraries such as Pandas, Matplotlib, and Seaborn are used for data analysis and visualization. The project provides insights into the distribution of various nutrients such as protein, carbohydrates, fiber, etc., in different food categories. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - " \n", - "

Table Of Content

\n", - "\n", - "\n", - "\n", - "* [1. Download the data](#1)\n", - " \n", - "* [2. Data Preparation and Cleaning ](#2)\n", - " \n", - "* [3. Exploratory Analysis and Visualization](#3)\n", - "\n", - "* [4. Ask & Answer Questions ](#4)\n", - "\n", - "* [4. Inferences and conclution](#5)\n", - "\n", - "* [5.References and Future Work](#6)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ruFOanE46Pp2" - }, - "source": [ - " ## \n", - "

Download the data

" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Download and install and import necessary packages." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "id": "Qi3b4I8a6J9f" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds\n", - "Your Kaggle username: nnautiyal\n", - "Your Kaggle Key: ········\n", - "Downloading nutrition-datasets.zip to ./nutrition-datasets\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1.27M/1.27M [00:00<00:00, 77.0MB/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "!pip install opendatasets --upgrade --quiet\n", - "import opendatasets as od\n", - "source_url = \"https://www.kaggle.com/datasets/sathyakrishnan12/nutrition-datasets\"\n", - "od.download(source_url)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['nutrition.csv']" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import os\n", - "os.listdir(\"nutrition-datasets\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# import liabraries\n", - "import pandas as pd\n", - "import numpy as np\n", - "import re\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "pd.set_option(\"display.max_columns\", 100)\n", - "%matplotlib inline\n", - "\n", - "import warnings\n", - "warnings.filterwarnings('ignore')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - "window.require && require([\"base/js/namespace\"],function(Jupyter){Jupyter.notebook.save_checkpoint()})" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[jovian] Updating notebook \"nitinmedion/nutrition-data-analysis\" on https://jovian.com\u001b[0m\n", - "[jovian] Committed successfully! https://jovian.com/nitinmedion/nutrition-data-analysis\u001b[0m\n" - ] - }, - { - "data": { - "text/plain": [ - "'https://jovian.com/nitinmedion/nutrition-data-analysis'" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "!pip install jovian --upgrade --quiet\n", - "project_name = \"Nutrition-data-analysis\"\n", - "import jovian\n", - "jovian.commit(project=project_name)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "lAxHhpxg6cZf" - }, - "source": [ - "##

Data Preparation and Cleaning

" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# read & load the dataset into pandas dataframe\n", - "df = pd.read_csv(\"nutrition-datasets/nutrition.csv\")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "5K2MGNic6iyC", - "outputId": "c1100515-1777-4dc4-ceb6-4a80e6b26f19" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Unnamed: 0\n", - "name\n", - "serving_size\n", - "calories\n", - "total_fat\n", - "saturated_fat\n", - "cholesterol\n", - "sodium\n", - "choline\n", - "folate\n", - "folic_acid\n", - "niacin\n", - "pantothenic_acid\n", - "riboflavin\n", - "thiamin\n", - "vitamin_a\n", - "vitamin_a_rae\n", - "carotene_alpha\n", - "carotene_beta\n", - "cryptoxanthin_beta\n", - "lutein_zeaxanthin\n", - "lucopene\n", - "vitamin_b12\n", - "vitamin_b6\n", - "vitamin_c\n", - "vitamin_d\n", - "vitamin_e\n", - "tocopherol_alpha\n", - "vitamin_k\n", - "calcium\n", - "copper\n", - "irom\n", - "magnesium\n", - "manganese\n", - "phosphorous\n", - "potassium\n", - "selenium\n", - "zink\n", - "protein\n", - "alanine\n", - "arginine\n", - "aspartic_acid\n", - "cystine\n", - "glutamic_acid\n", - "glycine\n", - "histidine\n", - "hydroxyproline\n", - "isoleucine\n", - "leucine\n", - "lysine\n", - "methionine\n", - "phenylalanine\n", - "proline\n", - "serine\n", - "threonine\n", - "tryptophan\n", - "tyrosine\n", - "valine\n", - "carbohydrate\n", - "fiber\n", - "sugars\n", - "fructose\n", - "galactose\n", - "glucose\n", - "lactose\n", - "maltose\n", - "sucrose\n", - "fat\n", - "saturated_fatty_acids\n", - "monounsaturated_fatty_acids\n", - "polyunsaturated_fatty_acids\n", - "fatty_acids_total_trans\n", - "alcohol\n", - "ash\n", - "caffeine\n", - "theobromine\n", - "water\n" - ] - } - ], - "source": [ - "# printing the columns\n", - "\n", - "for i in df.columns:\n", - " print(i)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "hlypp9XBCBYi", - "outputId": "a90fc82b-17d1-44d6-daeb-576cbc60c0f0" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 8789 entries, 0 to 8788\n", - "Data columns (total 77 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Unnamed: 0 8789 non-null int64 \n", - " 1 name 8789 non-null object\n", - " 2 serving_size 8789 non-null object\n", - " 3 calories 8789 non-null int64 \n", - " 4 total_fat 8789 non-null object\n", - " 5 saturated_fat 7199 non-null object\n", - " 6 cholesterol 8789 non-null object\n", - " 7 sodium 8789 non-null object\n", - " 8 choline 8789 non-null object\n", - " 9 folate 8789 non-null object\n", - " 10 folic_acid 8789 non-null object\n", - " 11 niacin 8789 non-null object\n", - " 12 pantothenic_acid 8789 non-null object\n", - " 13 riboflavin 8789 non-null object\n", - " 14 thiamin 8789 non-null object\n", - " 15 vitamin_a 8789 non-null object\n", - " 16 vitamin_a_rae 8789 non-null object\n", - " 17 carotene_alpha 8789 non-null object\n", - " 18 carotene_beta 8789 non-null object\n", - " 19 cryptoxanthin_beta 8789 non-null object\n", - " 20 lutein_zeaxanthin 8789 non-null object\n", - " 21 lucopene 8789 non-null int64 \n", - " 22 vitamin_b12 8789 non-null object\n", - " 23 vitamin_b6 8789 non-null object\n", - " 24 vitamin_c 8789 non-null object\n", - " 25 vitamin_d 8789 non-null object\n", - " 26 vitamin_e 8789 non-null object\n", - " 27 tocopherol_alpha 8789 non-null object\n", - " 28 vitamin_k 8789 non-null object\n", - " 29 calcium 8789 non-null object\n", - " 30 copper 8789 non-null object\n", - " 31 irom 8789 non-null object\n", - " 32 magnesium 8789 non-null object\n", - " 33 manganese 8789 non-null object\n", - " 34 phosphorous 8789 non-null object\n", - " 35 potassium 8789 non-null object\n", - " 36 selenium 8789 non-null object\n", - " 37 zink 8789 non-null object\n", - " 38 protein 8789 non-null object\n", - " 39 alanine 8789 non-null object\n", - " 40 arginine 8789 non-null object\n", - " 41 aspartic_acid 8789 non-null object\n", - " 42 cystine 8789 non-null object\n", - " 43 glutamic_acid 8789 non-null object\n", - " 44 glycine 8789 non-null object\n", - " 45 histidine 8789 non-null object\n", - " 46 hydroxyproline 8789 non-null object\n", - " 47 isoleucine 8789 non-null object\n", - " 48 leucine 8789 non-null object\n", - " 49 lysine 8789 non-null object\n", - " 50 methionine 8789 non-null object\n", - " 51 phenylalanine 8789 non-null object\n", - " 52 proline 8789 non-null object\n", - " 53 serine 8789 non-null object\n", - " 54 threonine 8789 non-null object\n", - " 55 tryptophan 8789 non-null object\n", - " 56 tyrosine 8789 non-null object\n", - " 57 valine 8789 non-null object\n", - " 58 carbohydrate 8789 non-null object\n", - " 59 fiber 8789 non-null object\n", - " 60 sugars 8789 non-null object\n", - " 61 fructose 8789 non-null object\n", - " 62 galactose 8789 non-null object\n", - " 63 glucose 8789 non-null object\n", - " 64 lactose 8789 non-null object\n", - " 65 maltose 8789 non-null object\n", - " 66 sucrose 8789 non-null object\n", - " 67 fat 8789 non-null object\n", - " 68 saturated_fatty_acids 8789 non-null object\n", - " 69 monounsaturated_fatty_acids 8789 non-null object\n", - " 70 polyunsaturated_fatty_acids 8789 non-null object\n", - " 71 fatty_acids_total_trans 8789 non-null object\n", - " 72 alcohol 8789 non-null object\n", - " 73 ash 8789 non-null object\n", - " 74 caffeine 8789 non-null object\n", - " 75 theobromine 8789 non-null object\n", - " 76 water 8789 non-null object\n", - "dtypes: int64(3), object(74)\n", - "memory usage: 5.2+ MB\n" - ] - } - ], - "source": [ - "df.info()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "LCpsD1q4DrOv" - }, - "source": [ - "**First lets do few thing befor analysis**\n", - "\n", - "`This Project contains only some essentials vitamins & minerals`\n", - "\n", - "* Dropping and selecting the columns/Rows which are not cover in this project\n", - "* Check whether any null values present inside the dataframe or not.`\n", - "* Rename the columns\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "wjiB20l_Doao", - "outputId": "7f211965-2de5-426e-d5cc-11fb6f91a65c" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Index(['Unnamed: 0', 'name', 'serving_size', 'calories', 'total_fat',\n", - " 'saturated_fat', 'cholesterol', 'sodium', 'choline', 'folate',\n", - " 'folic_acid', 'niacin', 'pantothenic_acid', 'riboflavin', 'thiamin',\n", - " 'vitamin_a', 'vitamin_a_rae', 'carotene_alpha', 'carotene_beta',\n", - " 'cryptoxanthin_beta', 'lutein_zeaxanthin', 'lucopene', 'vitamin_b12',\n", - " 'vitamin_b6', 'vitamin_c', 'vitamin_d', 'vitamin_e', 'tocopherol_alpha',\n", - " 'vitamin_k', 'calcium', 'copper', 'irom', 'magnesium', 'manganese',\n", - " 'phosphorous', 'potassium', 'selenium', 'zink', 'protein', 'alanine',\n", - " 'arginine', 'aspartic_acid', 'cystine', 'glutamic_acid', 'glycine',\n", - " 'histidine', 'hydroxyproline', 'isoleucine', 'leucine', 'lysine',\n", - " 'methionine', 'phenylalanine', 'proline', 'serine', 'threonine',\n", - " 'tryptophan', 'tyrosine', 'valine', 'carbohydrate', 'fiber', 'sugars',\n", - " 'fructose', 'galactose', 'glucose', 'lactose', 'maltose', 'sucrose',\n", - " 'fat', 'saturated_fatty_acids', 'monounsaturated_fatty_acids',\n", - " 'polyunsaturated_fatty_acids', 'fatty_acids_total_trans', 'alcohol',\n", - " 'ash', 'caffeine', 'theobromine', 'water'],\n", - " dtype='object')" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.columns" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "6sP7ox7gDyEy" - }, - "source": [ - "Start with droping the columns which are note covered in this project" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "id": "g2mBc-x_Ccry" - }, - "outputs": [], - "source": [ - "# Drop the columns by drop method\n", - "#df.drop(columns=['col1', 'col2', 'col4'], inplace=True)\n", - "\n", - "# Or you make a new data frame and add then select columns inside it.\n", - "\n", - "df = df[[\n", - " # food\n", - " 'name',\n", - " 'serving_size',\n", - " 'calories',\n", - " # vitamins\n", - " 'vitamin_a','vitamin_b12',\n", - " 'vitamin_b6', 'vitamin_c', 'vitamin_d', 'vitamin_e','carotene_beta','thiamin',\n", - "\n", - " # Protein & minerals\n", - " 'copper', 'irom', 'magnesium',\n", - " 'phosphorous', 'potassium', 'zink', 'protein','calcium',\n", - " # carbs , fats & sugars\n", - " 'carbohydrate', 'fiber', 'sugars',\n", - " 'fat','total_fat','cholesterol','sodium']].copy()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "XNQDWDsgGHsf" - }, - "source": [ - "we have to deal with name columns this cause some uncertainities. While doing EDA and visualization." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "id": "xANRX24z6isT" - }, - "outputs": [], - "source": [ - "df['name'] = df['name'].str.replace(',', '\\n')\n", - "\n", - "# split the columns\n", - "#df[[\"Food\",\"Type\"]] = df[\"name\"].str.split(\",\", n =1, expand=True,)\n", - "\n", - "# drop the original Name columns\n", - "#df = df.drop(\"name\",axis=1)\n", - "\n", - "# reindexing the columns \n", - "#df = df.reindex(columns=['Food', 'Type'] + list(df.columns[:-2]))\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "NuvwG57-LD06" - }, - "source": [ - "Check for the null value now" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "YOldJNRqLOHO", - "outputId": "05e10a2b-860d-4c1b-beec-f63803c84bd5" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Index([], dtype='object')" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.columns[df.isna().any()]" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 214 - }, - "id": "7WzEJCsd8GRx", - "outputId": "ffc2b8f8-14b2-4bb4-efc1-4c21449dc126" - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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8788Beef\\n raw\\n all grades\\n trimmed to 0\" fat\\n ...100 g1216.00 IU1.84 mcg0.644 mg0.0 mg1.00 IU0.24 mg0.00 mcg0.063 mg0.042 mg1.45 mg12.00 mg222.00 mg319.00 mg3.42 mg23.37 g13.00 mg0.00 g0.0 g0.00 g3.04 g3g60mg53.00 mg
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" - ], - "text/plain": [ - " name serving_size \\\n", - "8788 Beef\\n raw\\n all grades\\n trimmed to 0\" fat\\n ... 100 g \n", - "\n", - " calories vitamin_a vitamin_b12 vitamin_b6 vitamin_c vitamin_d vitamin_e \\\n", - "8788 121 6.00 IU 1.84 mcg 0.644 mg 0.0 mg 1.00 IU 0.24 mg \n", - "\n", - " carotene_beta thiamin copper irom magnesium phosphorous \\\n", - "8788 0.00 mcg 0.063 mg 0.042 mg 1.45 mg 12.00 mg 222.00 mg \n", - "\n", - " potassium zink protein calcium carbohydrate fiber sugars \\\n", - "8788 319.00 mg 3.42 mg 23.37 g 13.00 mg 0.00 g 0.0 g 0.00 g \n", - "\n", - " fat total_fat cholesterol sodium \n", - "8788 3.04 g 3g 60mg 53.00 mg " - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.tail(1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
Abbreviations Used in this Project
\n", - "\n", - "\n", - "\n", - "| Column name | Description |\n", - "|---------------|---------------------------------------------------------------------|\n", - "| Food | Name of the Food |\n", - "| Svg_size_g | Serving Size Gram |\n", - "| Ttl_fat_ | Total Fat |\n", - "| Vit_e_mg | Vitamin E (mg) |\n", - "| Vit_D_IU | Vitamin D (IU) |\n", - "| Chol_(mg) | Cholesterol (mg) |\n", - "| Vit_b6_mg | Vitamin B6 is a water-soluble vitamin that is part of the B-vitamin family. |\n", - "| Vit_b12_mcg | Vitamin B12 is a water-soluble vitamin that is part of the B-vitamin family. |\n", - "| Vit_a_iu | Vitamin A is a fat-soluble vitamin that is part of the vitamin A family. |\n", - "| B_carotene_mcg| Beta carotene is a fat-soluble vitamin that is part of the vitamin A family. |\n", - "| Fe_mg | Iron |\n", - "| Mg_mg | Magnesium |\n", - "| P_mg | Phosphorous |\n", - "| K_mg | Potassium |\n", - "| zn_mg | Zinc |\n", - "| Protein_g | Protein |\n", - "| Carbs_g | Carbohydrate |\n", - "| Fiber_g | Fiber |\n", - "| Sugars_g | Sugars |\n", - "| Fat_g | Fat |\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "id": "RolDVzWB1Rzz" - }, - "outputs": [], - "source": [ - "df.rename(columns={\"name\":\"Food\",\"serving_size\":\"Svg_size_g\",'total_fat':'Ttl_fat_g','cholesterol':'Chol_mg',\"sodium\":\"Na_mg\",'thiamin':'B1_mg','vitamin_a':'Vit_a_iu',\"carotene_beta\":'B_carotene_mcg',\"vitamin_b12\":'Vit_b12_mcg',\n", - " 'vitamin_b6': 'Vit_b6_mg','vitamin_c':'Vit_c_mg','vitamin_d':'Vit_d_iu','vitamin_e':'Vit_e_mg','calcium':'Ca_mg','copper':'Cu_mg',\n", - " 'irom':'Fe_mg','magnesium':'Mg_mg','phosphorous':'P_mg',\"potassium\":\"K_mg\",\"zink\":'Zn_mg','protein':'Protein_g','carbohydrate':'Carbs_g','fiber':'Fiber_g','sugars':'Sugars_g','fat':'Fat_g'}, inplace = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "yb61cFgf1Rry", - "outputId": "b1460fe1-7d93-475a-db50-aaf645435521" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Food object\n", - "Svg_size_g object\n", - "calories int64\n", - "Vit_a_iu object\n", - "Vit_b12_mcg object\n", - "Vit_b6_mg object\n", - "Vit_c_mg object\n", - "Vit_d_iu object\n", - "Vit_e_mg object\n", - "B_carotene_mcg object\n", - "B1_mg object\n", - "Cu_mg object\n", - "Fe_mg object\n", - "Mg_mg object\n", - "P_mg object\n", - "K_mg object\n", - "Zn_mg object\n", - "Protein_g object\n", - "Ca_mg object\n", - "Carbs_g object\n", - "Fiber_g object\n", - "Sugars_g object\n", - "Fat_g object\n", - "Ttl_fat_g object\n", - "Chol_mg object\n", - "Na_mg object\n", - "dtype: object" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.dtypes" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "id": "ThggjTOxJygO" - }, - "outputs": [], - "source": [ - "\n", - "# dealing with miniscule amounts\n", - "cols_to_clean = list(df.columns[2:])\n", - "df[cols_to_clean] = df[cols_to_clean].replace({\"mg\": \"\", \"g\": \"\",\"mc\":\"\",\"IU\":\"\"}, regex=True).astype(float)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 300 - }, - "id": "8vC6ef95jI_r", - "outputId": "4ca424dc-0d46-4cf1-a88e-358764dc815c" - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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caloriesVit_a_iuVit_b12_mcgVit_b6_mgVit_c_mgVit_d_iuVit_e_mgB_carotene_mcgB1_mgCu_mgFe_mgMg_mgP_mgK_mgZn_mgProtein_gCa_mgCarbs_gFiber_gSugars_gFat_gTtl_fat_gChol_mgNa_mg
count8789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.0000008789.000000
mean226.283878676.3205141.2017160.2613248.35654814.5608150.885576141.7162360.2079290.1674822.64576432.262032153.844123265.2512231.93974511.34561673.31732822.1219152.0400736.75629310.55079410.55685538.723063306.353851
std169.8620013694.7395534.2719080.46771365.624854123.6438923.8132601030.7553500.5103590.5434265.66104655.837795202.198353371.4435243.33576610.530602199.85042527.2662614.26918113.71889015.81487015.818247117.358944939.220468
min0.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
25%91.0000000.0000000.0000000.0350000.0000000.0000000.0000000.0000000.0300000.0280000.49000010.00000035.000000111.0000000.2200002.3800008.0000000.0500000.0000000.0000000.9500001.0000000.00000036.000000
50%191.00000020.0000000.0700000.1190000.0000000.0000000.1200000.0000000.0770000.0770001.31000020.000000129.000000219.0000000.8000008.02000019.0000009.3400000.4000000.4900005.1300005.1000002.00000084.000000
75%337.000000208.0000001.2700000.3570002.4000001.0000000.4600002.0000000.2270000.1400002.57000029.000000215.000000329.0000002.66000019.88000063.00000034.9100002.4000006.05000013.72000014.00000065.000000396.000000
max902.000000100000.00000098.89000012.0000002732.00000010000.000000149.40000042891.00000023.37500015.050000123.600000781.0000009918.00000016500.00000090.95000088.3200007364.000000100.00000079.00000099.800000100.000000100.0000003100.00000038758.000000
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" - ], - "text/plain": [ - " calories Vit_a_iu Vit_b12_mcg Vit_b6_mg Vit_c_mg \\\n", - "count 8789.000000 8789.000000 8789.000000 8789.000000 8789.000000 \n", - "mean 226.283878 676.320514 1.201716 0.261324 8.356548 \n", - "std 169.862001 3694.739553 4.271908 0.467713 65.624854 \n", - "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "25% 91.000000 0.000000 0.000000 0.035000 0.000000 \n", - "50% 191.000000 20.000000 0.070000 0.119000 0.000000 \n", - "75% 337.000000 208.000000 1.270000 0.357000 2.400000 \n", - "max 902.000000 100000.000000 98.890000 12.000000 2732.000000 \n", - "\n", - " Vit_d_iu Vit_e_mg B_carotene_mcg B1_mg Cu_mg \\\n", - "count 8789.000000 8789.000000 8789.000000 8789.000000 8789.000000 \n", - "mean 14.560815 0.885576 141.716236 0.207929 0.167482 \n", - "std 123.643892 3.813260 1030.755350 0.510359 0.543426 \n", - "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "25% 0.000000 0.000000 0.000000 0.030000 0.028000 \n", - "50% 0.000000 0.120000 0.000000 0.077000 0.077000 \n", - "75% 1.000000 0.460000 2.000000 0.227000 0.140000 \n", - "max 10000.000000 149.400000 42891.000000 23.375000 15.050000 \n", - "\n", - " Fe_mg Mg_mg P_mg K_mg Zn_mg \\\n", - "count 8789.000000 8789.000000 8789.000000 8789.000000 8789.000000 \n", - "mean 2.645764 32.262032 153.844123 265.251223 1.939745 \n", - "std 5.661046 55.837795 202.198353 371.443524 3.335766 \n", - "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "25% 0.490000 10.000000 35.000000 111.000000 0.220000 \n", - "50% 1.310000 20.000000 129.000000 219.000000 0.800000 \n", - "75% 2.570000 29.000000 215.000000 329.000000 2.660000 \n", - "max 123.600000 781.000000 9918.000000 16500.000000 90.950000 \n", - "\n", - " Protein_g Ca_mg Carbs_g Fiber_g Sugars_g \\\n", - "count 8789.000000 8789.000000 8789.000000 8789.000000 8789.000000 \n", - "mean 11.345616 73.317328 22.121915 2.040073 6.756293 \n", - "std 10.530602 199.850425 27.266261 4.269181 13.718890 \n", - "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "25% 2.380000 8.000000 0.050000 0.000000 0.000000 \n", - "50% 8.020000 19.000000 9.340000 0.400000 0.490000 \n", - "75% 19.880000 63.000000 34.910000 2.400000 6.050000 \n", - "max 88.320000 7364.000000 100.000000 79.000000 99.800000 \n", - "\n", - " Fat_g Ttl_fat_g Chol_mg Na_mg \n", - "count 8789.000000 8789.000000 8789.000000 8789.000000 \n", - "mean 10.550794 10.556855 38.723063 306.353851 \n", - "std 15.814870 15.818247 117.358944 939.220468 \n", - "min 0.000000 0.000000 0.000000 0.000000 \n", - "25% 0.950000 1.000000 0.000000 36.000000 \n", - "50% 5.130000 5.100000 2.000000 84.000000 \n", - "75% 13.720000 14.000000 65.000000 396.000000 \n", - "max 100.000000 100.000000 3100.000000 38758.000000 " - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.describe()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "lqfHuPY31lA8" - }, - "source": [ - "One last time check for nan values" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "K4-f6nyk1j_h", - "outputId": "1cedda55-147c-4204-a9ee-811b35467a3a" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Index([], dtype='object')" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.columns[df.isna().any()]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Check for Duplicate**" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.duplicated(subset=[\"Food\"]).sum() " - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "id": "gpIFjYtp1ju7" - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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FoodSvg_size_gcaloriesVit_a_iuVit_b12_mcgVit_b6_mgVit_c_mgVit_d_iuVit_e_mgB_carotene_mcgB1_mgCu_mgFe_mgMg_mgP_mgK_mgZn_mgProtein_gCa_mgCarbs_gFiber_gSugars_gFat_gTtl_fat_gChol_mgNa_mg
0Cornstarch100 g381.00.00.000.0000.00.00.000.00.0000.0500.473.013.03.00.060.262.091.270.90.000.050.10.09.0
1Nuts\\n pecans100 g691.056.00.000.2101.10.01.4029.00.6601.2002.53121.0277.0410.04.539.1770.013.869.63.9771.9772.00.00.0
2Eggplant\\n raw100 g25.023.00.000.0842.20.00.3014.00.0390.0810.2314.024.0229.00.160.989.05.883.03.530.180.20.02.0
3Teff\\n uncooked100 g367.09.00.000.4820.00.00.085.00.3900.8107.63184.0429.0427.03.6313.30180.073.138.01.842.382.40.012.0
4Sherbet\\n orange100 g144.046.00.130.0232.30.00.011.00.0270.0280.148.040.096.00.481.1054.030.401.324.322.002.01.046.0
\n", - "
" - ], - "text/plain": [ - " Food Svg_size_g calories Vit_a_iu Vit_b12_mcg Vit_b6_mg \\\n", - "0 Cornstarch 100 g 381.0 0.0 0.00 0.000 \n", - "1 Nuts\\n pecans 100 g 691.0 56.0 0.00 0.210 \n", - "2 Eggplant\\n raw 100 g 25.0 23.0 0.00 0.084 \n", - "3 Teff\\n uncooked 100 g 367.0 9.0 0.00 0.482 \n", - "4 Sherbet\\n orange 100 g 144.0 46.0 0.13 0.023 \n", - "\n", - " Vit_c_mg Vit_d_iu Vit_e_mg B_carotene_mcg B1_mg Cu_mg Fe_mg Mg_mg \\\n", - "0 0.0 0.0 0.00 0.0 0.000 0.050 0.47 3.0 \n", - "1 1.1 0.0 1.40 29.0 0.660 1.200 2.53 121.0 \n", - "2 2.2 0.0 0.30 14.0 0.039 0.081 0.23 14.0 \n", - "3 0.0 0.0 0.08 5.0 0.390 0.810 7.63 184.0 \n", - "4 2.3 0.0 0.01 1.0 0.027 0.028 0.14 8.0 \n", - "\n", - " P_mg K_mg Zn_mg Protein_g Ca_mg Carbs_g Fiber_g Sugars_g Fat_g \\\n", - "0 13.0 3.0 0.06 0.26 2.0 91.27 0.9 0.00 0.05 \n", - "1 277.0 410.0 4.53 9.17 70.0 13.86 9.6 3.97 71.97 \n", - "2 24.0 229.0 0.16 0.98 9.0 5.88 3.0 3.53 0.18 \n", - "3 429.0 427.0 3.63 13.30 180.0 73.13 8.0 1.84 2.38 \n", - "4 40.0 96.0 0.48 1.10 54.0 30.40 1.3 24.32 2.00 \n", - "\n", - " Ttl_fat_g Chol_mg Na_mg \n", - "0 0.1 0.0 9.0 \n", - "1 72.0 0.0 0.0 \n", - "2 0.2 0.0 2.0 \n", - "3 2.4 0.0 12.0 \n", - "4 2.0 1.0 46.0 " - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now add a category column that contains a specific string that matches the `Food` name for the better analysis of this data" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "id": "SazdfS0k1js9" - }, - "outputs": [], - "source": [ - "# create a dictionary of food categories and their corresponding keywords\n", - "categories = {\n", - " 'Vegetables': ['broccoli', 'spinach', 'kale', 'carrots', 'tomatoes', 'bell peppers', 'cucumbers', 'zucchini', 'eggplant', 'cauliflower', 'cabbage', 'onions', 'sweet potatoes', 'green beans', 'peas', 'asparagus', 'Brussels sprouts', 'artichokes', 'beets', 'radishes'],\n", - " 'Meat': ['beef', 'pork', 'lamb', 'goat', 'chicken', 'turkey', 'duck','goose', 'rabbit', 'bison'],\n", - " 'Poultry': ['chicken', 'turkey', 'duck', 'quail', 'goose', 'pigeon', 'pheasant'],\n", - " 'Fat food': ['butter', 'cheese', 'lard', 'margarine', 'shortening'],\n", - " 'Dairy Products': ['milk', 'yogurt', 'cheese', 'cream', 'butter', 'ice cream', 'sour cream', 'cottage cheese'],\n", - " 'Drinks and alcohol': ['water', 'coffee', 'tea', 'soda', 'juice', 'beer', 'wine', 'liquor'],\n", - " 'Dessert Sweets': ['cake', 'pie', 'chocolate', 'candy', 'cookies', 'ice cream'],\n", - " 'Seeds and Nuts': ['almonds', 'cashews', 'peanuts', 'pistachios', 'walnuts', 'sesame seeds', 'flax seeds', 'chia seeds']\n", - "}\n", - "\n", - "# create a dictionary of food categories \n", - "\n", - "df['Category'] = ''\n", - "\n", - "# iterate through each food category and assign the corresponding category to the food items\n", - "for category, keywords in categories.items():\n", - " df.loc[df['Food'].str.contains('|'.join(keywords), case=False), 'Category'] = category" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "# Now delete the remaining rows which are not in the categories.\n", - "df['Category'].replace('', np.nan, inplace=True)\n", - "\n", - "df.dropna(subset=[\"Category\"], inplace = True)\n", - "df.reset_index(drop=True , inplace = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Meat 1336\n", - "Drinks and alcohol 1023\n", - "Dairy Products 774\n", - "Poultry 659\n", - "Dessert Sweets 659\n", - "Vegetables 254\n", - "Fat food 70\n", - "Seeds and Nuts 56\n", - "Name: Category, dtype: int64" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[\"Category\"].value_counts()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ky71iBIK6k_z" - }, - "source": [ - "##

Exploratory Analysis and Visualization

" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "id": "82gdJi8E6smT" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(figsize = (20,10), dpi = 100)\n", - "sns.set(style=\"whitegrid\")\n", - "Category_count = df['Category'].value_counts()\n", - "ax = sns.barplot(x=Category_count.index,y=Category_count.values ,palette='mako');\n", - "\n", - "# set x & y label\n", - "ax.set_ylabel('Food Counts', fontsize = 20)\n", - "ax.set_xlabel(\"Food Category\", fontsize = 20)\n", - "\n", - "# grid color\n", - "ax.grid(color='#6495ed', linewidth=1, axis='y', alpha=.3)\n", - "\n", - "# set title\n", - "ax.set_title(\"Distribution of Food Categories\", fontsize = 25)\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Majority of food items belong to the `Meat` category, followed by `Drinks and alcohal` and `Dairy Products`. The `Dessert Sweets` and `Poultry` categories also have a significant number of food items.\n", - "\n", - "On the other hand, the `Vegetables`, `Fat food`, and `Seeds and Nuts` categories have a relatively small number of food items in the dataset." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "id": "Kb3p0sWM6sdy" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "\n", - "# create a new dataframe with only the necessary columns\n", - "Calories_df = df[['Category', 'calories']]\n", - "\n", - "# create a histogram for each food category\n", - "plt.rc('font', family='serif', size=12)\n", - "fig, ax = plt.subplots(figsize = (10,5), dpi = 100)\n", - "ax = sns.histplot(data=df, x='calories', hue='Category', multiple='stack')\n", - "\n", - "# set title & labels\n", - "ax.set_title(\"Distribution of Calories\", fontsize = 20)\n", - "ax.set_xlabel(\"Calories Per 100 gram Serving\")\n", - "ax.set_ylabel(\" Value Counts\")\n", - "ax.set_xticks(np.arange(0,1000,100))\n", - "\n", - "# set x-tick labels to show \"kcal\"\n", - "x_ticks = plt.xticks()[0]\n", - "plt.xticks(x_ticks, [f\"{int(x)} kcal\" for x in x_ticks])\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Qmx1qUAU6uha" - }, - "source": [ - "**Insight**\n", - "\n", - "Based on the above Histograph plot of calorie values for each food category, some observation are :-\n", - "\n", - "* The majority of the Meat item fall in the range of 150 to 300 kcal per 100 g serving.\n", - "* Poultry items are mostly in the range of 150-200 kcal per 100g serving with some outliers above 300 kcal\n", - "* Dairy Products have a wide range of calorie counts , with many items falling in the range\n", - "* Suprisingly desserts sweets are in the wide range 200 to 500 kcal per 100 gram serving\n", - "* Fat food items have a high range of calories value,with most numbers are falling above 500 or some are over 800 kcal per 100 gram servings.\n", - "* Vegetables have a low range of calories values,with most item falling below 100 kcal .\n", - "\n", - "Overall, it can be concluded that different food categories have varying ranges of calories values,with some category having a wide range some have a naroow range. It is important to be aware of the calorie content of foods when making dietary choices" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "# create a scatter plot of protein vs. carbohydrates\n", - "plt.rc('font', family='sans-serif', size=12)\n", - "plt.subplots(figsize = (10,8), dpi = 100)\n", - "sns.scatterplot(x='Protein_g',hue = 'Category', y='Carbs_g', data=df)\n", - "\n", - "# set the title and x and y axis labels\n", - "\n", - "plt.title('Protein vs. Carbohydrates Scatter Plot')\n", - "plt.xlabel('Protein (g)')\n", - "plt.ylabel('Carbohydrates (g)')\n", - "\n", - "#\n", - "\n", - "# show the plot\n", - "plt.show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Insight**\n", - "\n", - "Based on the above scatter plot , we can see that\n", - "- The meat category has a high concentration of protein and relatievely low carbs, with some outliers that have high carbs.\n", - "- Vegetables has a wide range of carbs, with a maximum of aroung 40-80 g , and a relatievely low concentration.\n", - "- The poultry category has a relatively low concentration of carbs,with most of the data points having below 40 and a high no of protein(g) per 100 gram serving\n", - "- The drinks and alcohal category are most in the range of below 20 carbs and relatievely low concentration of Protein .But some drinks has protein obviously they are juices.\n", - "- The dairy products category has a wide range of nutrient value , with some outliers having high protein and some having high carbs\n", - "\n", - " `Overall, scatetr plot shows that there is an wide range of nutrient value accross different food category.The meat category is high in protein , whereas as vegetables are high in carbs, and poultry is relatively low in carbs and high in protein.While the dairy category has a wide range of nutrient value`" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# filter the dataframe for Meat and Vegetables categories\n", - "meat_vegetables_df = df[df[\"Category\"].isin([\"Dairy Products\", \"Meat\"])]\n", - "\n", - "# group the filtered dataframe by Category and calculate mean values of calories, protein, and fat\n", - "grouped_df = meat_vegetables_df.groupby(\"Category\")[[\"Protein_g\", \"Fat_g\"]].mean()\n", - "\n", - "grouped_df.plot(kind=\"bar\", figsize=(12,8))\n", - "plt.title(\"Meat vs Dairy Products\", fontsize=16)\n", - "plt.yticks(np.arange(0,30,5))\n", - "plt.ylabel(\"Nutrition Values\", fontsize=14)\n", - "plt.xlabel(\"Category\", fontsize=14)\n", - "plt.xticks(rotation=0, fontsize=12)\n", - "plt.legend(fontsize=12)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Insight**\n", - "\n", - "Based on tha analysis of the Meat and dairy products categories.it can observed that meat are slightly higher protein compared to the dairy products .On the other hand , dairy products are slightly higher in fat compared to meat products\n", - "\n", - "This suggest that individuall looking for high protein diet may prefer Meat products.\n", - "While those looking to substitute protein with other food option can consider dairy products.\n", - "\n", - "`However, it is important dairy prducts are also high in fat content consider this data 100gram of per seving`\n", - "\n", - "individuals should be mindful of their overall nutrient intake and consider low-fat dairy options if necessary." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Index(['Food', 'Svg_size_g', 'calories', 'Vit_a_iu', 'Vit_b12_mcg',\n", - " 'Vit_b6_mg', 'Vit_c_mg', 'Vit_d_iu', 'Vit_e_mg', 'B_carotene_mcg',\n", - " 'B1_mg', 'Cu_mg', 'Fe_mg', 'Mg_mg', 'P_mg', 'K_mg', 'Zn_mg',\n", - " 'Protein_g', 'Ca_mg', 'Carbs_g', 'Fiber_g', 'Sugars_g', 'Fat_g',\n", - " 'Ttl_fat_g', 'Chol_mg', 'Na_mg', 'Category'],\n", - " dtype='object')" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.columns" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "# create a correlation matrix of the nutrients\n", - "corr_matrix = df[['calories', 'Fat_g', 'Protein_g', 'Carbs_g', 'Fiber_g', 'Sugars_g']].corr()\n", - "\n", - "# plot the correlation matrix as a heat map using seaborn\n", - "plt.figure(figsize=(15,8))\n", - "ax = sns.heatmap(corr_matrix, cmap='coolwarm')\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Insight**\n", - "\n", - "- The correlation heatmap shows that there is a negative correlation (-0.4) dark blue color between carbohydrates and food.As noted in the scatter plot of protein vs. carbohydrates, higher protein foods tend to have lower levels of carbohydrates.\n", - "\n", - "- Similarly, there is a weak negative correlation between protein and fat (-0.2), indicating that foods high in protein tend to be lower in fat.\n", - "\n", - "- On the other hand, there is a strong positive correlation between calories and fat (0.8), which means that high-calorie foods tend to be high in fat. \n", - "\n", - "- Positive correlation between carbs and sugars (0.6), suggesting that foods high in carbs often contain high levels of sugars." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "IScjf2IH6v2Y" - }, - "source": [ - "##

Ask & Answer Questions

" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "kCaZoFKO64AK" - }, - "source": [ - "### **Q. what are the top categories from high to low protein?\"**" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "id": "hnPNQ8zk639g" - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "grouped_by = df.groupby(\"Category\")[\"Protein_g\"].mean()\n", - "\n", - "sorted_series = grouped_by.sort_values(ascending=False)\n", - "plt.subplots(figsize = (15,8), dpi = 100)\n", - "plt.bar(sorted_series.index,sorted_series.values,)\n", - "plt.xlabel(\"Category\")\n", - "plt.ylabel(\"Protein Content\")\n", - "plt.title(\"Top Categories by protein content\", size=15)\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* Meat, seeds and nuts, and poultry are the top three categories with the highest protein content. This suggests that these foods are good sources of protein for individuals who are looking to increase their protein intake.\n", - "\n", - "* It is interesting to note that drinks and alcohol are also among the top categories with high protein content. This could be due to the fact that some drinks, such as protein shakes and smoothies, are specifically designed to provide high amounts of protein.\n", - "\n", - "* Dessert sweets, vegetables, and fat food are among the categories with the lowest protein content. This suggests that individuals who are looking to increase their protein intake should focus on incorporating more foods from the top categories into their diet." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "JISiz65b636n" - }, - "source": [ - "### **Q: What are the top 5 food items with the highest protein content?**" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "id": "OC6YjBgx633-" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "high_protein_df = df[df[\"Protein_g\"] > 20]\n", - "\n", - "top_5 = high_protein_df.sort_values(\"Protein_g\",ascending=False).head(5)\n", - "\n", - "fig, ax = plt.subplots(figsize=(10, 8))\n", - "ax.barh(top_5['Food'], top_5['Protein_g'], color='blue')\n", - "\n", - "# set the axis labels and title\n", - "plt.xlabel(\"Protein (g)\")\n", - "plt.ylabel(\"Food\")\n", - "plt.title(\"Top 10 Foods by Protein Content\")\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Insights** \\\n", - "The bar plot represents the top 5 food items with the highest protein content. It shows that snacks plain pork skins have the highest protein content, followed by Snacks barbecue flavor pork skins, protein supplement powder muscle milk-based, protein supplement powder muscle milk-based, and cheese low sodium parmesan. It is interesting to note that all of these items belong to the snacks and supplement category. This suggests that people who want to increase their protein intake tend to rely on supplements and snacks rather than whole foods. It is also worth noting that these items are high in protein but may not necessarily be healthy due to their high fat content. Therefore, it is important to balance protein intake with a variety of other healthy foods." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "C2Gw5up1631O" - }, - "source": [ - "### **Q Which food categories are the highest sources of Minerals ?**" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Index(['Food', 'Svg_size_g', 'calories', 'Vit_a_iu', 'Vit_b12_mcg',\n", - " 'Vit_b6_mg', 'Vit_c_mg', 'Vit_d_iu', 'Vit_e_mg', 'B_carotene_mcg',\n", - " 'B1_mg', 'Cu_mg', 'Fe_mg', 'Mg_mg', 'P_mg', 'K_mg', 'Zn_mg',\n", - " 'Protein_g', 'Ca_mg', 'Carbs_g', 'Fiber_g', 'Sugars_g', 'Fat_g',\n", - " 'Ttl_fat_g', 'Chol_mg', 'Na_mg', 'Category'],\n", - " dtype='object')" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.columns" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "id": "8_ymR2Ta63vq" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "minerals_df = df[[\"Category\",\"Zn_mg\",\"Mg_mg\",\"P_mg\",\"Fe_mg\"]]\n", - "\n", - "grouped_df = minerals_df.groupby(\"Category\").mean()\n", - "\n", - "grouped_df.plot(kind=\"bar\", figsize=(12,8))\n", - "plt.xticks(rotation=45)\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This shows that seeds and nuts are the highest sources of both potassium and magnesium. Meat is also a good source of potassium, but not as high as seeds and nuts. Dairy products, especially milk and cheese, are good sources of Potasssium but not as high in potassium as seeds and nuts" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### **Q. what are the top categories from high to low Calories?\"**" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "grouped_by = df.groupby(\"Category\")[\"calories\"].mean()\n", - "\n", - "sorted_series = grouped_by.sort_values(ascending=False)\n", - "plt.subplots(figsize = (15,8), dpi = 100)\n", - "plt.bar(sorted_series.index,sorted_series.values,)\n", - "plt.xlabel(\"Category\")\n", - "plt.ylabel(\"Carories Content\")\n", - "plt.title(\"Top Categories by Calories\", size=15)\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Insights based on the bar plot:\n", - "\n", - "* The highest calorie category is seeds and nuts, which may come as a surprise to some people who think of these foods as healthy snacks.\n", - "* The fact that fat foods are the second-highest calorie category may not be surprising to many people, as these foods are often associated with high calorie content.\n", - "* Dessert sweets being the third-highest calorie category is also not surprising, as these foods are often high in sugar and fat.\n", - "* Dairy products are relatively high in calories compared to other food categories, which may be unexpected for some people who view dairy as a healthy source of calcium.\n", - "* Meat and poultry are also high in calories, which may be expected for some people who associate these foods with protein and energy.\n", - "* Finally, drinks and alcohol are the lowest calorie category, which may be expected for some people who think of liquid calories as less filling or satisfying than solid food. However, it's worth noting that some alcoholic beverages can be high in calories, especially if they contain added sugar or mixers." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### **Q: Create a Dataframe Category with most fiber**" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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CategoryMean Fiber (g)
0Seeds and Nuts8.573214
1Vegetables2.880709
2Dessert Sweets2.502731
3Dairy Products1.291602
4Fat food0.458571
5Poultry0.433536
6Drinks and alcohol0.336755
7Meat0.126347
\n", - "
" - ], - "text/plain": [ - " Category Mean Fiber (g)\n", - "0 Seeds and Nuts 8.573214\n", - "1 Vegetables 2.880709\n", - "2 Dessert Sweets 2.502731\n", - "3 Dairy Products 1.291602\n", - "4 Fat food 0.458571\n", - "5 Poultry 0.433536\n", - "6 Drinks and alcohol 0.336755\n", - "7 Meat 0.126347" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "top_fiber = df.groupby('Category')['Fiber_g'].mean().nlargest(10)\n", - "\n", - "top_fiber_df = top_fiber.reset_index(name='Mean Fiber (g)').head(10)\n", - "top_fiber_df" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - "window.require && require([\"base/js/namespace\"],function(Jupyter){Jupyter.notebook.save_checkpoint()})" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[jovian] Updating notebook \"nitinmedion/nutrition-data-analysis\" on https://jovian.com\u001b[0m\n", - "[jovian] Committed successfully! https://jovian.com/nitinmedion/nutrition-data-analysis\u001b[0m\n" - ] - }, - { - "data": { - "text/plain": [ - "'https://jovian.com/nitinmedion/nutrition-data-analysis'" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "jovian.commit()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "DoFyoHKl69sg" - }, - "source": [ - "##

Inferences and conclution

" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "syMcmGp-6_mO" - }, - "source": [ - "\n", - "The main aim of the project is to analyze the nutritional value of food items across different categories. Through our analysis, we found that the meat category has a high concentration of protein, whereas seeds and nuts are rich in fiber. Categories such as fat foods and desserts are high in calories. Our conclusions are based on analyzing various food categories. \n", - "\n", - "we can conclude that different food categories have different nutrient compositions, and it's important to consider these differences when planning a balanced diet. By identifying the categories that are rich in specific nutrients, we can also make informed choices about the types of food we consume to meet our nutritional needs. Overall, this project provides valuable insights into the nutrient composition of different food categories and can be useful for both individuals and professionals in the food and health industries.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "_wZaHcn47OUO" - }, - "source": [] - } - ], - "metadata": { - "colab": { - "provenance": [] - }, - "gpuClass": "standard", - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.7" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/Nutritive Analysis/README.md b/Nutritive Analysis/README.md deleted file mode 100644 index b301ab74..00000000 --- a/Nutritive Analysis/README.md +++ /dev/null @@ -1,75 +0,0 @@ -## Project Title: Nutritive Analysis of Daily Foods (Exploratory Project) -#### Author: VARUNSHIYAM S - ------------- - - - -**Description** - -This project explores the nutritional composition of everyday foods through exploratory data analysis. Using Python libraries such as pandas, NumPy, matplotlib, and seaborn, we aim to uncover insights into the nutritional landscape of common diets. - ------------- - - -**Data Source** - -The primary dataset is sourced from *Kaggle*, accessible via Nutrition Datasets. This dataset provides comprehensive information on various food items, including macronutrient profiles (carbohydrates, proteins, fats), vitamins, minerals, and other relevant attributes. - ------------- - - -**Project Goals** - -- Uncover Nutritional Trends and Patterns: - -Explore nutrient distribution across different food groups and categories. -Identify correlations between various nutrients. - -- Gain Insights into Dietary Choices: - -Analyze how frequently consumed foods contribute to overall nutrient intake. -Identify potential areas for improvement in dietary habits. - -- Develop Data Analysis and Visualization Skills: - -Apply Python libraries effectively to clean, manipulate, and analyze nutritional data. -Create informative visualizations to communicate findings. - ------------- - - -**Methodology** - - -Data Acquisition and Preprocessing: -- Download the Kaggle dataset using Python libraries (e.g., kaggle API). -- Perform data cleaning tasks: handle missing values, outliers, and inconsistencies. -- Transform data into a suitable format for analysis (e.g., create categorical variables, calculate ratios). - -Exploratory Data Analysis: -- Utilize pandas and NumPy for calculating descriptive statistics across food groups. -- Employ matplotlib and seaborn for creating histograms, boxplots, scatter plots, etc., - to reveal trends. -- Investigate nutrient correlations using techniques like Pearson's correlation coefficient. - -Dietary Insights: -- Analyze nutrient contributions from frequently consumed foods. -- Recommend improvements in dietary habits based on analysis. - -Future Directions: -- Refine analysis based on initial findings. -- Develop predictive models or hypothesis testing. -- Communicate results effectively through visualizations, reports, or presentations. - ------------- - - -**Technologies and Libraries** -- Python -- Pandas -- NumPy -- Matplotlib -- Seaborn - ------------- -