From 03dd760c069a77d35c801782664a1a4be979079c Mon Sep 17 00:00:00 2001 From: devkate Date: Mon, 3 Jun 2024 01:41:48 +0200 Subject: [PATCH] removed analysis_results.ipynb --- analysis/analysis_results.ipynb | 520 -------------------------------- 1 file changed, 520 deletions(-) delete mode 100644 analysis/analysis_results.ipynb diff --git a/analysis/analysis_results.ipynb b/analysis/analysis_results.ipynb deleted file mode 100644 index 31d3788..0000000 --- a/analysis/analysis_results.ipynb +++ /dev/null @@ -1,520 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "ba424dd8", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Scripts directory path: /Users/devkate/Desktop/data-research-repos/scripts\n" - ] - }, - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'plot_functions'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[1], line 27\u001b[0m\n\u001b[1;32m 24\u001b[0m sys\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mappend(scripts_dir)\n\u001b[1;32m 26\u001b[0m \u001b[38;5;66;03m# Attempt to import your module\u001b[39;00m\n\u001b[0;32m---> 27\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mplot_functions\u001b[39;00m\n\u001b[1;32m 28\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mplot_functions\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n\u001b[1;32m 30\u001b[0m file_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m../data/final_data_publish.csv\u001b[39m\u001b[38;5;124m'\u001b[39m\n", - "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'plot_functions'" - ] - } - ], - "source": [ - "# Imports \n", - "import sys\n", - "from os.path import dirname, abspath, join\n", - "import pandas as pd\n", - "\n", - "from IPython.display import display\n", - "from plotly.subplots import make_subplots\n", - "import plotly.graph_objects as go\n", - "\n", - "# Import necessary libraries for visualization\n", - "import plotly.graph_objects as go\n", - "from plotly.subplots import make_subplots\n", - "\n", - "# Get the absolute path of the parent directory\n", - "parent_dir = dirname(dirname(abspath('.')))\n", - "\n", - "# Path to the 'scripts' directory\n", - "scripts_dir = join(parent_dir,'data-research-repos', 'scripts')\n", - "\n", - "# Print the scripts directory path for verification\n", - "print(\"Scripts directory path:\", scripts_dir)\n", - "\n", - "# Add the scripts directory to the system path\n", - "sys.path.append(scripts_dir)\n", - "\n", - "# Attempt to import your module\n", - "from plot_functions import *\n", - "\n", - "file_path = '../data/final_data_publish.csv'\n", - "df = pd.read_csv(file_path, sep=';', low_memory=False)\n", - "print(df.columns)\n" - ] - }, - { - "cell_type": "markdown", - "id": "da3b1bcd", - "metadata": {}, - "source": [ - "### Plot for research repositories " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "510909f2", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "f384580c", - "metadata": {}, - "source": [ - "### Plot for dlr application classes" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "48d9cc6e", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "87b4e8e1", - "metadata": {}, - "source": [ - "# Results" - ] - }, - { - "cell_type": "markdown", - "id": "44170473", - "metadata": {}, - "source": [ - "### FAIRness" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "e217b22c", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Function to plot FAIR\n", - "plot_radar_chart(df, './results/plot_fairness.png')" - ] - }, - { - "cell_type": "markdown", - "id": "233a29d7", - "metadata": {}, - "source": [ - "### Software documentation" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "2afd2c0f", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "### Use this program to plot documentation \n", - "\n", - "import os\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "# Filter the DataFrame according to 'dlr_soft_class' values\n", - "df = df[df['dlr_soft_class'].isin([0, 1, 2])]\n", - "\n", - "# Calculate the total count for each 'dlr_soft_class'\n", - "total_counts = df['dlr_soft_class'].value_counts()\n", - "\n", - "# Calculate the percentage of True values for each column and 'dlr_soft_class'\n", - "features = ['readme_content', 'quick_start_guide', 'help_commands']\n", - "feature_labels = ['Project Information', 'Installation Instructions', 'Usage Guide']\n", - "percentages = [[(df[(df['dlr_soft_class'] == dlr_class) & (df[feature])].shape[0] / total_counts[dlr_class]) * 100 for feature in features] for dlr_class in [0, 1, 2]]\n", - "\n", - "# Bar width\n", - "bar_width = 0.2\n", - "\n", - "# Positions of the bars on the x-axis\n", - "r = np.arange(len(features))\n", - "\n", - "# Create the grouped bar chart\n", - "for i in range(3):\n", - " plt.bar(r + i*bar_width, percentages[i], color=plt.cm.viridis(i/2.5), width=bar_width, edgecolor='grey', label=f'Class {i}')\n", - "\n", - "# Adding labels\n", - "plt.ylabel('Percentage (%)', fontweight='bold')\n", - "plt.xticks([r + bar_width for r in range(len(features))], feature_labels)\n", - "\n", - "# Adding the legend\n", - "plt.legend()\n", - "\n", - "# Save the plot\n", - "if not os.path.exists('results'):\n", - " os.makedirs('results')\n", - "plt.savefig('results/plot_documentation.png')\n", - "\n", - "# Show the plot\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "627bcc29", - "metadata": {}, - "source": [ - "### Software developement practices " - ] - }, - { - "cell_type": "markdown", - "id": "3dd2dfa0", - "metadata": {}, - "source": [ - "### 1. Testing " - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "ce6ecf32", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import os\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Calculate percentages of 'test_folder' presence for each 'dlr_soft_class'\n", - "test_folder_percentages = df.groupby('dlr_soft_class')['test_folder'].value_counts(normalize=True).unstack() * 100\n", - "\n", - "# Plot the stacked bar chart\n", - "test_folder_percentages.plot(kind='bar', stacked=True, cmap='viridis')\n", - "\n", - "# Set labels and title\n", - "plt.xlabel('DLR Software Class')\n", - "plt.ylabel('Percentage of Repositories')\n", - "\n", - "# Move legend outside the plot\n", - "plt.legend(title='Explicit requirement', labels=['No', 'Yes'], bbox_to_anchor=(1.05, 1), loc='upper left')\n", - "\n", - "# Save the plot\n", - "if not os.path.exists('results'):\n", - " os.makedirs('results')\n", - "plt.savefig('results/plot_test.png', bbox_inches='tight') # Use bbox_inches='tight' to prevent cutting off the legend\n", - "\n", - "# Show the plot\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "ad23b658", - "metadata": {}, - "source": [ - "### 2. Continuous integration" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "334236fb", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Use this plot for continious integration \n", - "\n", - "import os\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "# Filter the DataFrame according to 'language' and 'dlr_soft_class' values\n", - "df = df[df['language'].isin(['C++', 'Python', 'R']) & df['dlr_soft_class'].isin([0, 1, 2])]\n", - "\n", - "# Calculate the total count for each 'dlr_soft_class'\n", - "total_counts = df['dlr_soft_class'].value_counts()\n", - "\n", - "# Calculate the percentage of True values for each column and 'dlr_soft_class'\n", - "features = ['continuous_integration', 'add_test_rule', 'add_lint_rule']\n", - "percentages = [[(df[(df['dlr_soft_class'] == dlr_class) & (df[feature])].shape[0] / total_counts[dlr_class]) * 100 for feature in features] for dlr_class in [0, 1, 2]]\n", - "\n", - "# Bar width\n", - "bar_width = 0.2\n", - "\n", - "# Positions of the bars on the x-axis\n", - "r = np.arange(len(features))\n", - "\n", - "# Create the grouped bar chart\n", - "for i in range(3):\n", - " plt.bar(r + i*bar_width, percentages[i], color=plt.cm.viridis(i/2.5), width=bar_width, edgecolor='grey', label=f'Class {i}')\n", - "\n", - "# Adding labels\n", - "plt.ylabel('Percentage (%)', fontweight='bold')\n", - "updated_labels = ['Continuous Integration', 'Linters in CI', 'Automated Testing']\n", - "plt.xticks([r + bar_width for r in range(len(features))], updated_labels)\n", - "\n", - "# Adding the legend\n", - "plt.legend()\n", - "\n", - "# Save the plot\n", - "if not os.path.exists('results'):\n", - " os.makedirs('results')\n", - "plt.savefig('results/plot_ci.png')\n", - "\n", - "# Show the " - ] - }, - { - "cell_type": "markdown", - "id": "d636888b", - "metadata": {}, - "source": [ - "### 3. Making dependency requirement explicit" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "41d7208f", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Assuming df is your DataFrame\n", - "test_folder_percentages = df.groupby('dlr_soft_class')['requirements_explicit'].value_counts(normalize=True).unstack() * 100\n", - "\n", - "test_folder_percentages.plot(kind='bar', stacked=True, cmap='viridis')\n", - "\n", - "plt.xlabel('DLR Software Class')\n", - "plt.ylabel('Percentage of Repositories')\n", - "\n", - "# Move the legend outside of the plot\n", - "plt.legend(title='Dependency requirement explicit', labels=['No', 'Yes'], bbox_to_anchor=(1.05, 1), loc='upper left')\n", - "\n", - "# Save the plot\n", - "if not os.path.exists('results'):\n", - " os.makedirs('results')\n", - "plt.savefig('results/plot_requirement.png', bbox_inches='tight')\n", - "\n", - "# Show the plot\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "a500f681", - "metadata": {}, - "source": [ - "### 4. Comment at the start of program file" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "ad5e06b8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Step 2: Filter Data by Language\n", - "df = df[df['language'].isin(['Python', 'C++', 'R'])]\n", - "\n", - "# Replace 'none' with 'less' and ensure comment_at_start is a categorical type with the correct order\n", - "df['comment_category'] = df['comment_category'].replace('none', 'less')\n", - "comment_order = ['less', 'some', 'more', 'most']\n", - "df['comment_category'] = pd.Categorical(df['comment_category'], categories=comment_order, ordered=True)\n", - "\n", - "# Step 3: Prepare Data for Visualization\n", - "# Create a pivot table for the stacked bar plot with percentages\n", - "pivot_table = df.pivot_table(index='dlr_soft_class', columns='comment_category', aggfunc='size', fill_value=0)\n", - "\n", - "# Calculate the percentage\n", - "pivot_table = pivot_table.div(pivot_table.sum(axis=1), axis=0) * 100\n", - "\n", - "# Count the occurrences and calculate percentages for the grouped bar plot\n", - "counts = df.groupby(['dlr_soft_class', 'comment_category']).size().reset_index(name='counts')\n", - "total_counts = df.groupby('dlr_soft_class').size().reset_index(name='total_counts')\n", - "merged_counts = pd.merge(counts, total_counts, on='dlr_soft_class')\n", - "merged_counts['percentage'] = (merged_counts['counts'] / merged_counts['total_counts']) * 100\n", - "\n", - "# Ensure the order of comment_category for plotting\n", - "merged_counts['comment_category'] = pd.Categorical(merged_counts['comment_category'], categories=comment_order, ordered=True)\n", - "\n", - "# Step 4: Create Stacked Bar Plot\n", - "plt.figure(figsize=(10, 6))\n", - "pivot_table.plot(kind='bar', stacked=True, cmap='viridis')\n", - "plt.xlabel('DLR Application Class')\n", - "plt.ylabel('Percentage of Repositories')\n", - "plt.legend(title='Files with comment at start', bbox_to_anchor=(1.05, 1), loc='upper left')\n", - "plt.tight_layout()\n", - "plt.savefig('plot_comment_at_start.png') # Save the stacked bar plot\n", - "plt.show()\n", - "\n", - "# Step 5: Create Grouped Bar Plot\n", - "plt.figure(figsize=(10, 6))\n", - "sns.barplot(x='dlr_soft_class', y='percentage', hue='comment_category', data=merged_counts, palette='viridis', order=[0, 1, 2])\n", - "plt.xlabel('DLR Application Class')\n", - "plt.ylabel('Percentage of Repositories')\n", - "plt.legend(title='Files with comment at start', bbox_to_anchor=(1.05, 1), loc='upper left')\n", - "plt.tight_layout()\n", - "plt.savefig('grouped_bar_plot_comment_at_start.png') # Save the grouped bar plot\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "269e83ee", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bc6f5aa9", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "66415b34", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f5ae3624", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "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": "3.11.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}