Files

.ipynb_checkpoints
A New Era of Data Analysis in Baseball
A Visual History of Nobel Prize Winners
A-Network-analysis-of-Game-of-Thrones-master
ASL Recognition with Deep Learning
Advanced NLP with spaCy
Analyze Your Runkeeper Fitness Data
Analyzing Social Media Data in Python
Analyzing-Marketing-Campaigns-with-pandas-master
Analyzing-Social-Media-Data-in-Python-master
Analyzing-US-Census-Data-in-Python-master
- .ipynb_checkpoints
- ._chapter1.pdf
- ._chapter2.pdf
- ._chapter3.pdf
- ._chapter4.pdf
- .gitattributes
- Analyzing_US_Census_Data_in_Python.ipynb
- Analyzing_US_Census_Data_in_Python.py
- Analyzing_US_Census_Data_in_Python_PRATICA_DELIBERADA.ipynb
- Analyzing_US_Census_Data_in_Python_PRATICA_DELIBERADA.py
- B27022.ipynb
- README.md
- brooklyn_tract_2000.gpkg
- brooklyn_tract_2010.gpkg
- chapter1.pdf
- chapter2.pdf
- chapter3.pdf
- chapter4.pdf
- states_internet.gpkg
- tracts_brooklyn_2000.pickle
- tracts_brooklyn_2010.pickle
Analyzing_Police_Activity_with_pandas-master
Bad passwords and the NIST guidelines
Book-Recommendations-From-Charles-Darwin-master
Build-Pipelines-to-Classify-Messages-master FUNCIONA
Building Data Engineering Pipelines in Python
COVID-19-EDA-tutorial-master
Case-Studies-in-Statistical-Thinking-master
Classify Song Genres from Audio Data
Cleaning Data in Python
Cleaning-Data-in-Python-master
Clustering-Methods-with-SciPy-master
Comparing Cosmetics by Ingredients
Comparing Search Interest with Google Trends
Conceitos de Databricks
Creating Robust Python Workflows
Credit Risk Modeling in Python
Customer Segmentation in Python
Data Manipulation with pandas
Data-Pipelines-master
Datacamp-ABTest
Design-a-Recommendation-Engine-master
Designing Machine Learning Workflows in Python
Dimensionality Reduction in Python
Disney Movies and Box Office Success
Do Left-handed People Really Die Young
Do-Left-handed-People-Really-Die-Young-master
Dr. Semmelweis and the discovery of handwashing
ETL-Pipeline-for-Immigration-Data-master
Ensemble Methods in Python
Evaluating-Models-to-Predict-Fraud-master
Experimental Design in Python
Exploratory Data Analysis in Python
Exploring 67 years of LEGO
Exploring the Bitcoin cryptocurrency market
Exploring the evolution of Linux
Exploring-67-years-of-LEGO-master
Extreme Gradient Boosting with XGBoost
Extreme-Gradient-Boosting-with-XGBoost-master
FINANCE - TUTORIALS
Feature Engineering for Machine Learning in Python
Feature-Engineering-for-NLP-in-Python-master
Financial Forecasting in Python
Financial-Forecasting-in-Python-master
Find Movie Similarity from Plot Summaries
Forecasting Using ARIMA Models in Python
Fraud Detection in Python
Fraud-Detection-in-Python-master
Fully-Automated-Mlops
Generalized Linear Models in Python
Generating Keywords for Google AdWords
Give Life - Predict Blood Donations
How-to-Predict-Employee-Churn-master
Hyperparameter-Tuning-in-Python-master
Image Processing
Importing-and-Managing-Financial-Data-in-Python-master
Improving Your Data Visualizations in Python
Improving-Data-Visualizations-in-Python-master
Intro Tensorflow
Intro-to-Python-for-Finance-master
Introduction to Linear Modeling in Python
Introduction to Portfolio Risk Management in Python
Introduction-to-Data-Visualization-with-Python-master
Introduction-to-MLflow
Introduction-to-Matplotlib-master
Introduction-to-Time-Series-Analysis-in-Python-master
Introduction_to_Airflow
Investigating Netflix Movies and Guest Stars in The Office
Joining Data with pandas
Machine Learning for Finance in Python
Machine Learning for Finance
Machine Learning for Finance
Machine Learning for Time Series Data in Python
Machine-Learning-for-Finance-in-Python-master
Machine-Learning-for-Time-Series-Data-in-Python-master
Machine-Learning-with-Tree-Based-Models-in-Python-master
Machine-Learning-with-the-Experts-School-Budgets-master
Manipulating-DataFrames-with-pandas-master
Manipulating-Time-Series-Data-in-Python-master
Merging-DataFrames-with-pandas-master
Mobile Games AB Testing with Cookie Cats
Model Validation in Python
Model-Validation-in-Python-master
Name Game - Gender Prediction using Sound
Naïve Bees_ Deep Learning with Images
Naïve Bees_ Image Loading and Processing
Naïve Bees_ Predict Species from Images
Network Analysis in Python (Part 1)
Network Analysis in Python (Part 2)
Object-Oriented Programming in Python
Optimizing Python Code with pandas
Predict Stock Trends from News Headlines
Predicting Credit Card Approvals
Predicting Customer Churn in Python
Predicting-Blight-Ticket-Payment-master
Predicting-Employee-Churn-master
Preparing for Coding Interview Questions in Python
Preparing for Machine Learning Interview Questions in Python
Preparing-for-Statistics-Interview-Questions-in-Python-master
Preprocessing-for-Machine-Learning-in-Python-master
Production-Data-Pipelines-master
Real-time Insights from Social Media Data
Recreating John Snow's Ghost Map
Reducing Traffic Mortality in the USA
Regular-Expressions-in-Python-master
Risk-and-Returns-The-Sharpe-Ratio-master
Sentiment-Analysis-in-Python-master
Statistical-Simulation-in-Python-master
Statistical-Thinking-in-Python--Part-1-master
Statistical-Thinking-in-Python--Part-2-master
Streamlined-Data-Ingestion-with-pandas-master
Streamlining Employee Data
Supply Chain Analytics in Python
TV Ratings, Guest Stars, and The Office
TV, Halftime Shows, and the Big Game
The Android App Market on Google Play
The GitHub History of the Scala Language
The Hottest Topics in Machine Learning
Time Series Analysis in Python
Unit Testing for Data Science in Python
Unsupervised-Learning-in-Python-master
Up and Down With the Kardashians
Visualizing-Geospatial-Data-in-Python-master
Visualizing-Time-Series-Data-in-Python-master
Web Scraping in Python
Web-Scraping-in-Python-master
Which Debts Are Worth the Bank's Effort
Who Is Drunk and When in Ames, Iowa
Winning-a-Kaggle-Competition-in-Python-master
Word Frequency in Moby Dick
Word Frequency in Peter Pan
Word-Frequency-in-Moby-Dick-master
Working-with-Dates-and-Times-in-Python-master
Writing Functions for Product Analysis
Writing-Efficient-Python-Code-master
airflow
end-to-end-machine-learning
etl-and-elt-in-python
outro_repo
pandas-Foundations-master
personal-master
.DS_Store
._.DS_Store
._Advanced NLP with spaCy
._Analyzing Social Media Data in Python
._Analyzing-Marketing-Campaigns-with-pandas-master
._Bitcoin.ipynb
._Business_Science_Problem_Framework.pdf
._COVID-19-EDA-tutorial-master
._Cleaning-Data-in-Python-master
._Creating Robust Python Workflows
._Credit Risk Modeling in Python
._Customer Segmentation in Python
._Datacamp-ABTest
._Dimensionality Reduction in Python
._Exploratory Data Analysis in Python
._FINANCE - TUTORIALS
._Feature Engineering for Machine Learning in Python
._Financial Forecasting in Python
._Forecasting Using ARIMA Models in Python
._Fraud Detection in Python
._Fraud-Detection-in-Python-master
._Generalized Linear Models in Python
._Image Processing
._Improving Your Data Visualizations in Python
._Improving-Data-Visualizations-in-Python-master
._Intro Tensorflow
._Intro-to-Python-for-Finance-master
._Introduction to Linear Modeling in Python
._Introduction to Portfolio Risk Management in Python
._Introduction-to-Matplotlib-master
._Introduction-to-Time-Series-Analysis-in-Python-master
._Machine Learning for Finance
._Machine Learning for Finance
._Machine Learning for Time Series Data in Python
._Model Validation in Python
._Network Analysis in Python (Part 1)
._Network Analysis in Python (Part 2)
._Object-Oriented Programming in Python
._Optimizing Python Code with pandas
._Predicting Customer Churn in Python
._Regular-Expressions-in-Python-master
._Risk-and-Returns-The-Sharpe-Ratio-master
._Sentiment Analysis in Python
._Sharpe Ratio.ipynb
._Supply Chain Analytics in Python
._Time Series Analysis in Python
._Unit Testing for Data Science in Python
._Web Scraping in Python
._personal-master
._personal-master.zip
.gitignore
Bitcoin.ipynb
Business_Science_Problem_Framework.pdf
LINK_iDATAIST.url
Sharpe Ratio.ipynb
Untitled.ipynb
personal-master.zip

Analyzing-US-Census-Data-in-Python-master

adiciona arquvos py em diretórios iniciados com letras de A até E

Dec 24, 2021

d94f1d3 · Dec 24, 2021

Name	Name	Last commit message	Last commit date
parent directory ..
.ipynb_checkpoints	.ipynb_checkpoints	adiciona arquvos py em diretórios iniciados com letras de A até E	Dec 24, 2021
._chapter1.pdf	._chapter1.pdf	adiciona novos cadernos ao repositório	Dec 22, 2021
._chapter2.pdf	._chapter2.pdf	adiciona novos cadernos ao repositório	Dec 22, 2021
._chapter3.pdf	._chapter3.pdf	adiciona novos cadernos ao repositório	Dec 22, 2021
._chapter4.pdf	._chapter4.pdf	adiciona novos cadernos ao repositório	Dec 22, 2021
.gitattributes	.gitattributes	adiciona novos cadernos ao repositório	Dec 22, 2021
Analyzing_US_Census_Data_in_Python.ipynb	Analyzing_US_Census_Data_in_Python.ipynb	adiciona arquvos py em diretórios iniciados com letras de A até E	Dec 24, 2021
Analyzing_US_Census_Data_in_Python.py	Analyzing_US_Census_Data_in_Python.py	adiciona arquvos py em diretórios iniciados com letras de A até E	Dec 24, 2021
Analyzing_US_Census_Data_in_Python_PRATICA_DELIBERADA.ipynb	Analyzing_US_Census_Data_in_Python_PRATICA_DELIBERADA.ipynb	adiciona arquvos py em diretórios iniciados com letras de A até E	Dec 24, 2021
Analyzing_US_Census_Data_in_Python_PRATICA_DELIBERADA.py	Analyzing_US_Census_Data_in_Python_PRATICA_DELIBERADA.py	adiciona arquvos py em diretórios iniciados com letras de A até E	Dec 24, 2021
B27022.ipynb	B27022.ipynb	adiciona novos cadernos ao repositório	Dec 22, 2021
README.md	README.md	adiciona novos cadernos ao repositório	Dec 22, 2021
brooklyn_tract_2000.gpkg	brooklyn_tract_2000.gpkg	adiciona novos cadernos ao repositório	Dec 22, 2021
brooklyn_tract_2010.gpkg	brooklyn_tract_2010.gpkg	adiciona novos cadernos ao repositório	Dec 22, 2021
chapter1.pdf	chapter1.pdf	adiciona novos cadernos ao repositório	Dec 22, 2021
chapter2.pdf	chapter2.pdf	adiciona novos cadernos ao repositório	Dec 22, 2021
chapter3.pdf	chapter3.pdf	adiciona novos cadernos ao repositório	Dec 22, 2021
chapter4.pdf	chapter4.pdf	adiciona novos cadernos ao repositório	Dec 22, 2021
states_internet.gpkg	states_internet.gpkg	adiciona novos cadernos ao repositório	Dec 22, 2021
tracts_brooklyn_2000.pickle	tracts_brooklyn_2000.pickle	adiciona novos cadernos ao repositório	Dec 22, 2021
tracts_brooklyn_2010.pickle	tracts_brooklyn_2010.pickle	adiciona novos cadernos ao repositório	Dec 22, 2021

README.md

Analyzing US Census Data in Python

The data analysis is documented in Analyzing_US_Census_Data_in_Python.ipynb. The lecture notes and the raw data files are also stored in the repository. The summary of the content is shown below:

Decennial Census of Population and Housin
American Community Survey
Measuring Segregation
Exploring Census Topics

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Files

Analyzing-US-Census-Data-in-Python-master

Analyzing-US-Census-Data-in-Python-master

README.md

Analyzing US Census Data in Python

Files

Analyzing-US-Census-Data-in-Python-master

Directory actions

More options

Directory actions

More options

Latest commit

History

Analyzing-US-Census-Data-in-Python-master

Folders and files

parent directory

README.md

Analyzing US Census Data in Python