Visualization of google mobility data for provinces in Indonesia using seaborn python programming package

Abstract

One important data needed in handling the COVID-19 pandemic is human mobility data. Based on mobility data provided by Google, analysis can be done as a basis for decision making. This research produces several visualization methods that provide insight to decision makers. Visualization is done using Python Programming.

Current Status and Future Forecast of Short-lived Climate-Forced Ozone in Tehran, Iran, derived from Ground-Based and Satellite Observations

“…In this study, the heatmaps show the concentrations change over 12 months for 21 ground-based monitoring stations. The heatmaps plots were generated using Python’s seaborn heatmap functionality (Aurachman, 2021 ).…”