2016-new-coder-survey

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2016-new-coder-survey

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- - README.md
  - survey-reveals-diversity-in-the-learn-to-code-movement.m
- 2016-FCC-New-Coders-Survey-Data.csv
- clean-data.R
- example-age.png
- README.md
- survey-data-dictionary.md
- 2016-New-Coder-Survey-Data-Summary.csv
- maps-data-min.json
- maps-data.json
- world-geo3-min.json
- FCC-favicon-32x32.png
- FCC-favicon-96x96.png
- barcharts.js
- main.js
- maps.js
- 2016 New Coders Part 2.csv
- 2016 New Coders Survey Part 1.csv
- survey-questions.txt
- - _bourbon-deprecated-upcoming.scss
  - _bourbon.scss
- - _neat-helpers.scss
  - _neat.scss
- bar-charts.scss
- base.scss
- chart.scss
- footer.scss
- header.scss
- maps.scss
- popup.scss
- style.css
- style.css.map
- style.min.css
- style.min.css.map
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README.md

// repository documentation

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# The 2016 New Coder Survey

We announced on [March 29th,
2016](https://twitter.com/FreeCodeCamp/status/714930182721679360) that we'd like  to better understand new coders using a survey.

Survey development was lead by [Quincy Larson](https://twitter.com/ossia) with Free Code Camp and [Saron Yitbarek](https://twitter.com/saronyitbarek) with Code Newbie. For more about why we made this survey: ["How we crafted a survey for thousands of people who are learning to code"](https://medium.freecodecamp.com/we-just-launched-the-biggest-ever-survey-of-people-learning-to-code-cac81dadf1ea#.8g9ts8gm5).

## Table of Contents

- [About the Data](#about-the-data)
- [How to Contribute](#how-to-contribute)
- [Analysis of this data](#analysis-of-this-data)
- [Analysis of other relevant recent data](#analysis-of-other-relevant-recent-data)
- [Acknowledgement](#acknowledgement)
- [License](#license)

## About the Data

The raw survey results are located in the [`raw-data/`](raw-data/) directory, in `.csv` format.

We have cleaned and combined the data for convenience of downstream analyses and visualizations. The cleaned data is located in the [`clean-data/`](clean-data/) directory.

## How to Contribute

- Fork this repository and checkout the [issues](https://github.com/FreeCodeCamp/2016-new-coder-survey/issues/41) for questions that you can help us answer with d3.js data visualizations.
- Come up with your own questions and [add them as new issues](https://github.com/FreeCodeCamp/2016-new-coder-survey/issues/new).

## Analysis of this data

- [Kaggle](https://www.kaggle.com/freecodecamp/2016-new-coder-survey-/kernels)
- [Toshiaki Takeuchi](http://blogs.mathworks.com/loren/2016/06/27/survey-reveals-diversity-in-the-learn-to-code-movement/)
- [SamAI](https://github.com/FreeCodeCamp/2016-new-coder-survey/issues/40)
- [evaristoc](http://evaristoc.github.io/viz_exer/chartandpie/)

## Analysis of other relevant recent data

- [Stack Overflow's 2016 Developer Survey](https://medium.freecodecamp.com/2-out-of-3-developers-are-self-taught-and-other-insights-from-stack-overflow-s-2016-survey-of-50-8cf0ee5d4c21#.yhlo2k5oz)
- [O'Reilly's 2016 Developer Salary Survey](https://medium.freecodecamp.com/5-000-developers-talk-about-their-salaries-d13ddbb17fb8#.umwcssab4)

## Acknowledgement

We want to thanks all the people who participated in this project. Particular thanks to the members of the Free Code Camp Gitter [DataScience chatroom](https://gitter.im/FreeCodeCamp/DataScience) and more specially to the team formed by [@erictleung](https://github.com/erictleung), [@SamAI-Software](https://github.com/SamAI-Software), [@krisgesling](https://github.com/krisgesling) and [@evaristoc](https://github.com/evaristoc).

[@erictleung](https://github.com/erictleung) championed the preparation of the clean dataset, [@SamAI-Software](https://github.com/SamAI-Software) worked on the coordination, analysis and final presentation of the charts, [@krisgesling](https://github.com/krisgesling) prepared the map and helped with the final touches of the presentation, and [@evaristoc](https://github.com/evaristoc) coordinated the DataScience room and supported the activities of the members of team.

Extended thanks to all the members of the room who also contributed before and after the fieldwork of this survey by providing observations, finding and hightlighting discrepancies, suggesting ideas for charts, etc. Thanks to all of you.

## License

This 2016 New Coder Survey is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

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