https://github.com/Essux/Quantified-Self-Visualizations

Compilation of visualizations of data from daily life
https://github.com/Essux/Quantified-Self-Visualizations

data-visualization dataviz pomodoro-technique quantified-self visualizations

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Compilation of visualizations of data from daily life

• Host: GitHub
• URL: https://github.com/Essux/Quantified-Self-Visualizations
• Owner: Essux
• Created: 2018-11-05T01:11:03.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-06-28T22:54:19.000Z (over 4 years ago)
• Last Synced: 2024-08-01T22:03:33.845Z (4 months ago)
• Topics: data-visualization, dataviz, pomodoro-technique, quantified-self, visualizations
• Language: Jupyter Notebook
• Homepage:
• Size: 1010 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• project-awesome - Essux/Quantified-Self-Visualizations - Compilation of visualizations of data from daily life (Jupyter Notebook)

README

        
# Quantified Self Visualizations

Small Data Analysis / Machine Learning projects using self collected data.

## Artist Clustering

Using my own music listening data from LastFM from 2014 to 2018, performed a clustering analysis to group artists with similar listening patterns.

**Technologies:** Python, pandas, sklearn, matplotlib

![Clustering](/Artist_Year_Clustering/clustering.png)

## Pomodoro Technique Productivity

5.1000 observations during 4 years tracking productive time using the Pomodoro Technique.

**Technologies:** Python, pandas, matplotlib

![Time Series](/Pomos/weekly_time_series.gif)

## Commute Times

Three years collecting commute times resulted in a dataset with 350 observations. This project consists of visualizations of the relationship of Trip Duration and Trip Start Time.

**Technologies:** Python, pandas, matplotlib, seaborn

![Commutes](/Commutes/violin_plot.png)