Exploring US Bike-Share data of 3 major cities - Using Jupyter Notebooks and Python scripts
-
Updated
Mar 12, 2019 - Jupyter Notebook
#
chicago
Here are 5 public repositories matching this topic...
An analysis of the ZIP-code-level factors related to higher positivity rates and lower testing rates in Chicago ZIP codes as well as a 2-week positivity rate projection for November 3 - 17. This analysis have been conducted in Jupyter Notebooks with Geopandas, statsmodels, and pmdarima being the most important packages for this analysis.
-
Updated
Dec 9, 2020 - Jupyter Notebook
Ajit Koduri and Zane Olds looking at the Chicago Crime Data provided by the CPD CLEAR's system as seen on Kaggle. Powerpoints contain pictures arising from data analysis, .ipynb files are code we have made to look into the the criminal occurrences in Chicago with Python using Jupyter Notebooks.
-
Updated
Jan 28, 2018 - Jupyter Notebook
Chicago Crime Data Analysis. Powerpoints contain pictures arising from data analysis, .ipynb files are code we have made to look into the the criminal occurrences in Chicago with Python using Jupyter Notebooks.
-
Updated
Mar 14, 2019 - Jupyter Notebook
Improve this page
Add a description, image, and links to the chicago topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the chicago topic, visit your repo's landing page and select "manage topics."