Eviction Notices Analysis
Apr 2021 - Oct 2021 · Delivered
An analysis of San Francisco eviction notices from the city's open data: the most common reasons, the neighbourhoods most affected, and the trend by year.
- Python
- Matplotlib
- Pandas
Purpose
This project had analysis task and then article writing talking about Open Data, and providing an analysis of the eviction notices on Housing and Buildings in San Francisco. The analysis was done on the dataset of eviction notices in San Francisco. The dataset was obtained from the San Francisco Open Data website. The dataset was then analyzed to find the most common reasons for eviction, the most common neighborhoods for eviction, Plot yearly graph of eviction notices, Plot population graph (10-years gap), Compare increase in eviction notices with population increase. Plot yearly graph for eviction notices per zip code, Find and plot population increase by zip code, Compare increase in eviction notices with population increase. An article was also written for it.
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