The talk covers how you can visualize your Google location history using Streamlit. It covers how you can get the data, cleanse it, augment it using images and finally visualize it using Python without using any Javascript libraries. This talk was given at EuroPython 2021 (https://ep2021.europython.eu/talks/4NTyz92-virtual-tourism-in-covid-times/)

1. Virtual Tourism in COVID
Times 😷
Nithish Raghunandanan
@nithishr

2. About Me
● Developer Advocate 🥑
● Like to Prototype 🛠
● Build in
● Organize PyData Munich
● Love to Travel ✈
● Find me @nithishr

3. Like to

4. 2020

5. Can you Visualize your Google Location History?

6. Can you Visualize your Google Location History?

7. Google Location Data
● Standardize
○ Timestamp in milliseconds
■ Convert to timestamp using
pd.to_datetime()
○ Latitude & Longitudes
■ Divide by 10^7

8. How to Visualize?

9. Visualizing Data
● Notebooks
● Presentations
● Scripts
● Code
● Reports in Tableau
● Web Apps?

10. Jupyter Notebooks
● Great for Experimentation
● Graphs & Visualizations
● Storytelling using Data
● Customize with Code
● “I don’t like notebooks” - Joel Grus

11. Web Apps: Wild West of Javascript
● Lots of Frameworks /
Libraries
● Paradox of Choice

12. Streamlit
● Turn Data Scripts into Web
Apps
● Interactive
● No Frontend Experience
Required
● Easy to Deploy

13. Streamlit
Compatibility with Major Frameworks / Libraries

14. Visualize your Google Location Data
● Add Background Information
○ Images from
○ Random Images based on Location
● Histograms
● Heatmaps

15. Visualize your Google Location Data

16. Visualize your Google Location Data
Demo: https://youtu.be/ZFIviSlB4ZA

17. Deployment
Private Server
● Config File
○ $CWD/.streamlit/config.toml
● Run
○ streamlit run script.py
Streamlit Sharing
● Public Github Repos for Free
● Premium Offering

18. Streamlit Observations
Pros
● Make Python Code Interactive
● Customizable
● Deployment is easy
● Active Community
Cons
● No built in
Authentication
● Limited Design
flexibility
Good to have for Data Scientists

19. Streamlit Alternatives
Pick your friend

20. Improvements
● Map Locations to City /
Country
○ Reduce data?
● Improve Images
○ Connect to Google Photos
Data?

21. Conclusion
● Great for Prototyping
● No need to worry about
Javascript
● Revisit past Travels

22. References
● Code:
○ Travel Data Visualization
https://github.com/nithishr/streamlit-data-viz-demo
● Examples:
○ Streamlit Gallery
Nithish Raghunandanan
nithishr.com
@nithishr