Semantic Versioning of the project to track demand for child care across the USA.
- No future enhancements are planned. See the note in the README regarding the code's stability.
27 Jun 2025
- Add R, R Markdown, and Jupyter Notebook HTML exports with the bootstrapping and graph-making workflows to the repository.
19 May 2025
- Open-source the code by removing requirements based on proprietary dependencies.
4 Oct 2024
- Add ability to append & summarize custom dates' raw data in the
datapulls.py. - Remove Top and Related Queries pulls in 2022 data pulls because of
pytrendsIssue #628 - Add data resulting from 2022-2024 data pulls. This dataset is used in the publication for Cooper et al. (2025).
5 Jan 2024
- Separates out the append and summarize workflows into two separate scripts that produce two separate output files in the output directory. This distinguishes the distinct workflows and nullifies multi-tab output summary XLSX files.
- Adds a
full_append_and_summary_run()function in the summarize script to create a full summary statistics Excel file from scratch. - Enhance and fix bugs in the 2024 paper data collection process.
- Upgrade the virtual environment creation process.
8 Nov 2023
- Add ability to mathematically summarize pulled data.
- Adds a
dma_id_name_converter()function to convert DMA ID ~ Name data. - Sort testing and extra files into the
./extrassubdirectory.
14 Apr 2023
- Update the pytrends python requirement to be >=4.9.2 to account for March 2023 Google updates that caused fails and subsequent pytrends patch. Fixes issue #5.
26 Oct 2022
- Add script to systematically handle the storage of pulled trends data.
- Add script to manage the access and use of Nielsen Designated Market Areas®.
- Add .bat file to automatically run daily pulls of ECE GTrends data.
- Add virtual python environment setup capabilities.
23 Sept 2022 - Initial Internal Release
- Pull Google Trends data for Child Care.
- Establish framework for mathematically calculating data's summary trends.