https://github.com/jayqi/data-analysis-tools
Presentation on Data Analysis Tools
https://github.com/jayqi/data-analysis-tools
data-analysis presentation-slides
Last synced: 18 days ago
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Presentation on Data Analysis Tools
- Host: GitHub
- URL: https://github.com/jayqi/data-analysis-tools
- Owner: jayqi
- License: cc-by-4.0
- Created: 2019-03-04T02:50:51.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-05-29T05:20:18.000Z (over 5 years ago)
- Last Synced: 2025-01-11T13:39:44.009Z (about 1 month ago)
- Topics: data-analysis, presentation-slides
- Language: HTML
- Homepage: https://jayqi.github.io/data-analysis-tools/
- Size: 24.4 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# Overview of Data Analysis Tools README
[](https://creativecommons.org/licenses/by/4.0/)
"Overview of Data Analysis Tools" is a survey of general purpose data analysis tools accessible to non-experts.
- What are the common tools?
- When are they best suited?
- Emphasis on free or open-source## How to Use
The slide deck can be viewed here: https://jayqi.github.io/data-analysis-tools
Additionally, the markdown document version containing the same content is easier to read through when using as a reference: [overview-of-data-analysis-tools.md](https://github.com/jayqi/civic-data-tutorials/blob/master/overview-of-data-analysis-tools/overview-of-data-analysis-tools.md)
## Generating the slides
Slides are rendered using [reveal.js](https://revealjs.com/#/) and generated from the markdown document using [pandoc](https://github.com/jgm/pandoc/wiki/Using-pandoc-to-produce-reveal.js-slides).
To generate slides from the markdown document, run in command line:
pandoc -t revealjs -s -o index.html data-analysis-tools.md -V revealjs-url=https://revealjs.com --css=style.css
## Local serving
You can use a local webserver, e.g. `python3 -m http.server`, to serve the slides. Note that an internet connection is still required, as reveal.js is loaded from CDN.