https://github.com/stefantippelt/stack_overflow_developer_survey
Data exploration of annual stack overflow developer survey
https://github.com/stefantippelt/stack_overflow_developer_survey
Last synced: about 2 months ago
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Data exploration of annual stack overflow developer survey
- Host: GitHub
- URL: https://github.com/stefantippelt/stack_overflow_developer_survey
- Owner: StefanTippelt
- License: mit
- Created: 2019-06-16T14:37:22.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-08-23T13:26:20.000Z (almost 6 years ago)
- Last Synced: 2025-02-10T02:35:47.787Z (4 months ago)
- Language: Jupyter Notebook
- Size: 5.06 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## The 3 most important facts about data scientists
The **[Stack Overflow's Developer Survey](https://insights.stackoverflow.com/survey/2019)** is the largest survey where developers from all over the world answer questions about their jobs. I was curious if we could learn anything about the field of Data Science by taking a closer look at the responses.
You can find the official published results here:
https://insights.stackoverflow.com/survey/2019
Find previous survey results here:
https://insights.stackoverflow.com/survey
**[Check out my blog post](https://medium.com/@mail2tippelt/the-3-most-important-facts-about-data-scientists-9bfe41f9ce82)**
[](https://github.com/StefanTippelt/stack_overflow_developer_survey/blob/master/LICENSE)
[](https://github.com/StefanTippelt/stack_overflow_developer_survey/issues)
[](https://twitter.com/intent/tweet?text=Wow:&url=https%3A%2F%2Fgithub.com%2FStefanTippelt%2Fstack_overflow_developer_survey)### My main questions were:
- Which job titles are closest to the one of a `Data Scientist`?
- What tools are most important for `Data Scientists`?
- Are `Data Scientists` happier in their jobs than other developers?
## Installation
For installation you can simply run:```sh
$ pip install -r requirements.txt
```Change to the notebook directory
```sh
$ cd notebook
```And start up the notebook
```sh
$ jupyter notebook
```## License
MIT