-
Notifications
You must be signed in to change notification settings - Fork 337
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
EDA-StackOverflowSurvey2023- Add new learning #1085
Comments
Thanks for creating the issue,Please read the Pinned issued first and Readme.md in each Pull Request you made. Keep learning... |
I am a GGSOC24 Extd. Contributor |
Should i start work on the issue?
…On Wed, Oct 2, 2024 at 5:08 PM github-actions[bot] ***@***.***> wrote:
Thanks for creating the issue,Please read the Pinned issued first and
Readme.md in each Pull Request you made. Keep learning...
—
Reply to this email directly, view it on GitHub
<#1085 (comment)>,
or unsubscribe
<https://github.com/notifications/unsubscribe-auth/AZTLHHF7454QAXEZ5EWRRNLZZPLK5AVCNFSM6AAAAABPHPRWKWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDGOBYGQZTANJXHE>
.
You are receiving this because you authored the thread.Message ID:
***@***.***>
|
You can start working |
Stack Overflow Survey 2023 - EDA Guide
Description
To add learning material that guides users on how to perform an Exploratory Data Analysis (EDA) on the Stack Overflow Survey 2023 data. This will help users understand the data better and improve their analysis skills. The material covers key aspects such as:
Understanding Data Structure:
How to load and explore the dataset to get insights into the variables, patterns, and distributions.
Data Cleaning and Preparation:
Identifying missing values, outliers, and inconsistencies, and introducing techniques to clean the data effectively.
Feature Engineering and Selection:
Methods for selecting the most relevant variables to improve analysis or model performance.
Visualization Techniques:
Covering different types of plots (bar plots, scatter plots, heatmaps, etc.) and how to interpret them to find trends and relationships.
Handling Correlations:
Techniques for understanding and dealing with correlations between features.
Domain-Specific Insights:
Focused analysis on relevant trends in the developer community, such as technology preferences, geographical trends, and developer satisfaction.
This will improve the overall user experience when analyzing the survey data and help users make more data-driven decisions.
Tasks
Assign To
Charvi Arora
The text was updated successfully, but these errors were encountered: