Aim
- To analyze and visualize the existing data.
- To identify external events or data sources to enhance visualizations.
- To discover trends in the data to gain insights on how the data may change over time.
Analysis
In this project we analyzed (but not limited to) the following:
- Top Downloaded Datasets Over Time
- Dataset Sessions Over Time
- Impact of Real World Events like 'Elections' on Dataset Consumption
- Weekly & Monthly Engagement
- Top Searches on the Portal
Datasets Over Time
City of Toronto’s Open Data portal saw a consistent increase in dataset session activity compared to 2023, with the most significant spike in April. This spike in April corresponds perfectly with the dogs-issued-dangerous-dog-orders dataset as shown below. Overall, monthly sessions in 2024 outperformed those in 2023 across nearly all months, indicating improved engagement with the portal.
Top Downloaded Datasets (2024)
Top Searches
Read more on GitHub.