This is a Python web application built using Dash for visualizing Spotify and X-Twitter statistics.
- This section provides statistics and visualizations related to your Spotify listening history.
- The most-played artist in your Spotify history is displayed.
- The top songs you've listened to are listed, along with links to play them.
- The total playtime of your Spotify favorites is displayed in days, hours, minutes, and seconds.
- The top 5 most-listened-to artists in the last 4 weeks are displayed.
- The 5 most recently added songs to your favorites are listed.
- A pie chart displays the top 5 genres you've listened to, along with their percentages.
- A bar chart shows the average valence (positivity/negativity) of songs over the years.
- A bubble chart displays the relationship between energy and valence for different genres, with bubble size indicating the number of songs in each genre.
- A line chart shows the number of songs added to your favorites over time.
- This section provides statistics and visualizations related to X-Twitter activity.
- The total number of tweets in X-Twitter history is displayed.
- The top 5 users mentioned in tweets are listed, along with the number of mentions.
- A line chart displays the number of tweets posted each month.
- A pie chart shows the distribution of tweets by day of the week.
- A word cloud visualizes the most frequently used words in tweets.
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Make sure you have Python installed on your machine.
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Install the required Python packages by running the following command in your terminal:
pip install dash plotly pandas numpy sqlite3 dateutil -
Run the application by executing the following command in the same directory as your code:
python your_app_name.py -
Open a web browser and visit
http://localhost:8050to access the Spotify and X-Twitter Dashboard.
Enjoy exploring your Spotify and X-Twitter statistics!
Note: You may need to adjust the file paths, database names, and other configurations in the code to match your setup.