🐦 Twitter dashboard

A simple Panel-based dashboard visualizing geotagged tweets with hvplot and Datashader.

The dashboard includes:

• An heatmap showing the number of tweets;

• A bar plot showing the 5 most common languages within the current map extent;

• A wordcloud image showing the 10 most popular hashtags within the current map extent;

• Two numeric indicators showing the number of tweets and unique users on a daily basis within the current map extent;

• Two line charts showing the number of tweets and unique users on a daily basis within the current map extent;

The dashboard in action!!! 📺

twitter_dashboard.mp4

Twitter data (link)

This dataset contains over 200k geotagged tweets in parquet format:

• Coverage: Historic Centre of Rome, Italy;

• EPSG: 3857;

• Year: 2018;

• Language: Multi;

• Source: This dataset was scraped by myself with snscrape;

Column	Description
tweet_date (index)	Tweet creation date
user_id	Unique identifier of the tweet author
user_location	User location information
tweet_id	Unique identifier of the tweet
tweet_text	Tweet content
tweet_hashtags	Comma separated list of the tweet hashtags
tweet_lang	Tweet language
x	x-coordinate of the tweet
y	y-coordinate of the tweet

Set up

To run this dashboard you will need to do the following steps:

1. Git clone this repository:

git clone https://github.com/ivandorte/panel-geodashboard-twitter.git

cd panel-geodashboard-twitter

2. Install the required Python packages:

python -m pip install -r requirements.txt

3. Run the app

python -m panel serve app.py --show

The dashboard will be available in your web browser!!!

Deployment

This dashboard has not been deployed yet.

References

• https://holoviz.org/

• https://hvplot.holoviz.org

• https://examples.pyviz.org/index.html

• https://awesome-panel.org/

• https://github.com/Ileriayo/markdown-badges

Authors

• Ivan D'Ortenzio