Closed Nidhi-Satyapriya closed 1 month ago
Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.
@sanjay-kv kindly look into this and assign it to me.
@sanjay-kv I made a PR. It is now open to your recommendations and review.
will review it
Did you have a look? @sanjay-kv
Hello @Nidhi-Satyapriya! Your issue #320 has been closed. Thank you for your contribution!
Hello @Nidhi-Satyapriya! Your issue #320 has been closed. Thank you for your contribution!
Is there an existing issue for this?
Feature Description
This feature aims to analyze the correlation between higher education levels and the salaries of developers surveyed in 2018. The analysis will help understand how different educational qualifications influence earning potential in the developer community.
Objectives 1) To process data from the 2018 survey. 2) To visualize the relationship between education and salary using charts and graphs.
Deliverables 1) Visualizations illustrating the impact of higher education on salaries. 2) A summary report detailing the findings and any noticeable trends or insights.
Technical Requirements 1) Data cleaning and preprocessing using Python (Pandas, NumPy). 2) Statistical analysis using Python (Statsmodels). 3) Data visualization using Python (Matplotlib, Seaborn). 4) Documentation of the analysis process and findings.
Use Case
1) As a developer/student considering further education, I want to know the potential salary benefits of obtaining higher educational qualifications. 2) As a data analyst, I want to see a detailed breakdown of developer salaries based on their education levels so that I can identify trends and patterns. 3) As a stakeholder, I want to understand how higher education impacts salaries in the developer community to make informed decisions about hiring and salary structuring.
Benefits
Priority
High
Record