Pharos Data

IntroductionThis data repository includes the cleaned dataset for the Pharos application 2023-2024 data collection period (May 2023-March 2024). This dataset includes the full recurring network measurement (RNM), landmark (LM) datasets, as well as the county geographies used for the study catchment area. Also included in this dataset are the necessary software files to clean and visualize the collected data replicating the methods used in our published analysis.Setup and Execution Instructions for ReproductionPrerequisitesPython 3.9.16 (likely compatible, but untested with &gt;3.7)pip (Python package installer)Files Included_main.py - Main execution script_clean_df.py - Data cleaning module_make_viz.py - Visualization module_clean_lms.csv - Landmark measurement data_clean_rnms.csv - Recurring network measurement data_Counties_WesternKenya.json - Geographic boundaries for Western Kenya counties_requirements.txt - Python package dependenciesInstallation and Execution1a. Create a virtual environment (using a virtual environment is recommended, but not required)<br><code>python3</code><code> </code><code>-m</code><code> </code><code>venv</code><code> </code><code>venv</code><br><br>1b. Activate the virtual environment (using a virtual environment is recommended, but not required)<br><code>source</code><code> </code><code>venv/bin/activate</code><br><br>2. Install required packages<br><code>pip</code><code> </code><code>install</code><code> </code><code>-r</code><code> </code><code>requirements.txt</code><br><br>3. Run the analysis<br><code>python</code><code> </code><code>_main.py</code><br><br>4. Deactivate virtual environment when done (if used)<br><code>deactivate</code>