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Learn.md

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# Stackoverflow Analysis
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## 👨‍💻 Demo
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Check out the Main Code: [Stackoverflow-Analysis](https://github.com/sanjay-kv/Stackoverflow-Analysis/blob/main/Stackoverflow_Survey_Analysis.ipynb)
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## 👇 Prerequisites
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Before installation, please make sure you have already installed the following tools:
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- [Git](https://git-scm.com/downloads) Learn Step by Step instruction here. https://recodehive.com/how-to-install-git-git-tutorial/
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- [Anaconda](https://anaconda.org/anaconda)
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- [Jupyter Package](https://anaconda.org/anaconda/jupyter)
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## 🛠️ Installation Steps
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1. Fork the project
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2. Clone the project
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3. Download the orginal data from the ]drive link](https://drive.google.com/drive/folders/13W20DfCW2W5GEeKTYTl7R6xV5hmPS2Do?usp=sharing)
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4. Open Jupyter Notebook and place the file in the project folder *Make sure you selecting the correct path*
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## Finding Insights from Stackoverflow Developer Survey
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###### The Insights can be used to provide information regarding IT environment, hiring employees and job seekers and build a solid résumé.
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## 👨‍💻 Contributing
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- Contributions make the open source community such an amazing place to learn, inspire, and create.
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- Any contributions you make are **greatly appreciated**.
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- Check out our contribution guidelines(yet to update) for more information.
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## 🛡️ License
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LinkFree is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## 💪 Thanks to all Contributors
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Thanks a lot for spending your time helping LinkFree grow. Thanks a lot! Keep rocking 🍻
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<a href="https://github.com/sanjay-kv/Stackoverflow-Analysis/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=sanjay-kv/Stackoverflow-Analysis" />
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</a>
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## 🙏 Support
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This project needs a ⭐️ from you. Don't forget to leave a star ⭐️
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### Data Source and Background
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The dataset is very diverse and came from a [Stackoverflow developer survey](https://insights.stackoverflow.com/survey/?_ga=2.208907280.304952146.1616422967-1864686930.1616422967) with 275 questions answered from 180 countries. Stackoverflow has data collected through surveys from 2011 to 2020, but for the project, the purpose is to analyze the data of the last 3 years. The people who completed the survey mostly from the US, India, and EMEA regions. The majority of the survey respondents had the background of developer/ coding experience. The data are available in the CSV format ranging from 40 to 150 MB with data of 1.5 Lakh survey participants.The dataset includes survey data gathered from 180 countries, the response ranges from Not at all important to very important/ Not at all satisfied to very satisfied.

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