small-data-projects

(★ 99)

Repository of small data analysis and visualisation projects to try out libraries and create new types of visualisations. Mostly using Python.

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Download Latest Version (.zip)

- - bike-searches-pandemic-europe.ipynb
- - cycling-rates-london-grid-tile-map.ipynb
- - sourdough-google-trends-2019-2022.ipynb
- - codes.json
  - GenderPayGap.ipynb
- - Exploring-osmnx.ipynb
- - cycling_rates_london_cleaned_2016-2021.csv
  - london_cycling_rates_exploration.ipynb
  - london_cycling_streamlit.py
  - london_cycling_streamlit_v2.py
  - requirements.txt
- - cultural-venues-london-maps.ipynb
- - app.py
  - map_styles.json
  - plotting.py
  - ridge_map.py
  - ridgemaps-app.ipynb
- - bivariate_color_generator.py
  - cycling-vs-carowners-london-bivariate.ipynb
- - cats-movement-perimeter-arc-diagram.ipynb
- - artificial-grass-marketing.ipynb
- - google-search-autocomplete.ipynb
- - trees-london.ipynb
- - requirements.txt
  - Search-tweets.ipynb
- - gelaterias-map.ipynb
- - fix-it-boris.ipynb
  - fix-your-bike-voucher-scheme-evaluation.pdf
- - episode1_each_line_of_anakin_clean.csv
  - polar-bar-chart-tutorial-anakin-episode1.ipynb
  - star-wars-scripts.ipynb
- - sport-pitches-london.ipynb
  - ukpopestimatesmid2021on2021geographyfinal.xls
- - us-grant-opportunities.ipynb
- - starwars-emotions.ipynb
- - starwars-what-XY-says.ipynb
- - canadian-nhl-players.ipynb
- - highest-paid-athletes.ipynb
- - moving.ipynb
- - dubois-challenge.ipynb
- - london-cycling-infra.ipynb
- - LA_and_Regional_Spreadsheet_2022-23_for_Web_revised.xlsx
  - london-recycling-rates.ipynb
- - .cache
  - bicycle-songs.ipynb
- - coffee-habits-datastory.ipynb
  - coffee-habits.ipynb
  - ipyvizzu-example.py
  - ipyvizzustory-example.py
- - bike-owernship-world.ipynb
- - power-rangers-episodes.ipynb
- - custom-styles.css
  - custom.scss
  - developer-survey-exploration.ipynb
  - developer-survey.html
  - developer-survey.qmd
- - get-data.ipynb
- - europe-grid-iso-names.ipynb
- - radial-tree.ipynb
- - bobs-burger.ipynb
- - custom-styles.css
  - cycling-rates-vs-infra.ipynb
  - more-lanes-more-cyclists.html
  - more-lanes-more-cyclists.qmd
- - lbf-animal-rescue.ipynb
- - animal-rescue-month-radar-multiple.html
  - animal-rescue-month-radar-multiple.qmd
  - animal-rescue-month-radar.html
  - animal-rescue-month-radar.qmd
  - custom-styles.css
- - lazy-cats.ipynb
- - custom-styles.css
  - xkcd-colors.html
  - xkcd-colors.qmd
- - scottish-munros.ipynb
- - olympic-schedule.ipynb
- - Mandalore-K77lD.otf
  - Ubuntu-R.ttf
.gitignore
README.md

# Installation Guide

1. Get the code

git clone https://github.com/Lisa-Ho/small-data-projects

Downloads the entire project code from GitHub to your computer.

cd small-data-projects

Moves into the project folder you just downloaded.

2. Python

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

⚠️ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.

pip install -r 2022/2210-london-cycling/requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

jupyter notebook

Launches Jupyter in your browser so you can open and run the notebook (.ipynb) files.

✅ If it runs without errors and prints output in the terminal, it worked.