Trend of Mobility Changes due to Pandemic

How Indonesians are moving around differently due to COVID-19 Pandemic? How their mobility trends changed for trip to workplaces, groceries and pharmacy, restaurants, parks, transit stations, or just staying at home?

Well, under the #covid19 pandemic, it’s time for us to work from home, study from home and worship at home. That advice was announced by Pak Jokowi for Indonesians (esp. Jabodetabek) on March 15, 2020. Look at this ‘spaghetti’ graph with the data sourced from Google Community Mobility Report below. Start from 15 March 2020, around +15% mobility trend changes for places of residences. (Note: mobility changes means two parameters how visits and length of stay at the places.) Around -15% mobility trend changes for places of work.

Tool: Python (Thank Guido van Rossum for your cool programming language), package: plotly, numpy, and pandas. Thank Guoqiang Lan who ‘ETL’ the data from the pdf report to csv on Kaggle to make data scientists easier to analyze.

PS. I have discussed and explained thedetail this data during TalksON and HandsON virtual meeting with Endiyan RakhmandaIYKRA in Bahasa Indonesia on April 23 and 24, 2020.

Python Plotly Output using Google Mobility Changes Data (

Check my final dashboard HERE. You may also create your own.

For you who missed the webinar of HandsONStream, don’t worry!

Here the tutorial for Tableau Public is.

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