datadevx / charts

Ruby, Python and Perl based d3pie, Google Charts, Chart.js, plotly.js, Matplotlib and Seaborn charting demonstration :heartpulse: :cupid: :gift_heart: Configurable static site generator :doughnut: :dvd: :black_circle: :full_moon:

Charting Demo Info

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This Ruby script run.rb is a static site generator. It data mines or text mines a folder of XML Schema files as well as the MIT License (only for the d3pie charts) and generates statistics on elements and attributes (the XML Schema) or on words (the License).

The config file: config.xml stores most of the websites configuration information and can be easily customized.

A fancy feature is the ability to switch between using all d3pie, Google Charts, Chart.js or plotly.js based pie charts just by changing the config entry chart_type to one of d3pie, google, chartjs or plotly.

The site config entry chart_type can be set to all which displays all chart types, each chart type on its own page.

The home page has a selection of both d3pie JavaScript charts and some PNG charts created from using the Python packages Seaborn and Matplotlib.

For all four styles of pie charts we have both Donut and Pie style charts.

The advantage of the d3pie chart is its interactive clickable pie charts pieces.

The advantage of the Google Chart pie chart is its in built ability to create a chart legend.

The advantage of the Chart.js pie chart is its interactive clickable legend.

The plotly.js pie charts are by far the most interactive out of the box.

Even the README.md file is created from the config.xml config file.

Demo can be seen here: http://thebeast.me/charts/

This repository is built with

1. macOS High Sierra
2. macOS X El Capitan
3. Windows 10
4. Homebrew
5. Chocolatey
6. Ruby
7. RubyMine
8. Rubocop
9. rbenv
10. ruby-build
11. kramdown
12. RubyCritic
13. Bundler
14. Chroma
15. CSV gem
16. Atom
17. linter
18. linter-pylint
19. linter-rubocop
20. Sublime Text
21. SublimeLinter
22. SublimeLinter-pylint
23. SublimeLinter-rubocop
24. Sublime Text Markdown Preview
25. Python
26. PyCharm
27. Seaborn
28. pandas
29. Matplotlib
30. Pylint
31. Perl
32. cloc
33. d3pie
34. D3
35. Google Charts
36. Chart.js
37. plotly.js
38. HTML5
39. CSS3
40. Bootstrap
41. jQuery
42. JSON
43. JavaScript
44. YAML
45. XML
46. XML Schema
47. Regular expressions
48. Concatenation
49. Git
50. GitHub Desktop
51. GitHub Pages
52. GitHub:buttons
53. Flag Counter
54. Sitemaps
55. Markdown
56. robots.txt
57. Portable Network Graphics
58. ICO
59. GIF
60. CSV
61. Text file
62. Shields.io
63. MacVim
64. RVM