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eoy-report's Introduction

eoy-report

A development workspace for aggregating and displaying personal movement, location data, and other miscellany to create a end-of-year report displayable in a web browser.

Live

See the live version here.


Credits

Personal data sources

Geographic data sources


Previous years

Looking for previous years' reports?

twenty-fifteen


Requirements

Development

Clone and install

git clone [email protected]:dhritzkiv/eoy-report.git
cd eoy-report
npm install

Build and Run

Client JS

Compile the JS using rollup

rollup -w -c ./client/rollup.config.js

CSS

Compile CSS using Sass and PostCSS (via Gulp)

gulp watch

Typescript

Compile Typescript for the data scripts

tsc -w -p data-scripts

Serve

Run the Express-based static server.

node server/server.js

Alternatively, serve the contents of public/ up as static files with Nginx or similar.

Contact

I'm @dhritzkiv on Twitter

eoy-report's People

Contributors

dhritzkiv avatar

Stargazers

Max avatar Andrew Louis avatar Mike Chen avatar Collin Henderson avatar

Watchers

James Cloos avatar  avatar

Forkers

joanlin

eoy-report's Issues

Swarm Check in stats

  • Total checkins
  • Checkins per day / per week / per month
  • Checkins per country / per city
  • Most checkins in a day
  • Longest check in dry spell
  • Top categories
  • Top venues
  • Top coffee shops (belongs in coffee stats?)
  • Top breweries (belongs in beer stats?)

Coding stats

  • Total commits
  • % open source commits
  • Total PRs
  • % open source PRs
  • +/- line changes
  • Commits per day / week / month

Music Stats

  • Top 10 most listened to tracks
  • Top 10 most listened to albums
  • Total Listening time
  • Listening time by day
  • Listening time by month
  • Artists by country
  • Artists by city

Health stats

  • Sleep duration
  • Avg. local bed+wake time
  • median local bed+wake time
  • longest sleep
  • shortest sleep
  • average nightly sleep hours per month
  • earliest/latest sleep time
  • earliest/latest wake time
  • sleeps recorded
  • haircuts per year

Banking stats

  • Visa vs. debit
  • Apple Pay payments
  • number of subscriptions
  • % cash payments
    % under 5, 10, 25, 50, 100, 200, $1000

Movies stats

  • Total movies
  • Movies per day / per week / per month
  • Movie each month
  • Movies per category
  • Viewing mode (netflix, theatre, etc.)

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