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This GitHub repository is dedicated to examining and breaking down the results of a survey conducted among professionals in the field of data analysis.

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Syed-Sarfaraz-Ahmed/Data-Professional-Survey-Breakdown

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Data-Professional-Survey-Breakdown

Survey has been conducted by Alex The Analyst in September 2022. Survey raw data has been cleansed in Power BI desktop. Visualizations have been made accordingly. This Power BI dashboard breaks down the information collected in an online survey for Data Professionals. It represents the average salary by job title, level of difficulty to break into data, happiness with work/life balance, and so on.

The project deliverables consist of a PowerBI .pbix file and a PDF document.

Steps Covered

  1. Connecting Database with Power BI Desktop
  2. Analyzing the tables and relations
  3. Data Cleaning using Power Query Editor
  4. Developing an Interactive BI Dashboard / Report

Tech Stack

  • Power BI

Keys Insights derived from the dashbaord

  • Majority of the people who completed this survey are from United States.
  • Average age of the professionals who completed the survey is 30 years approximately.
  • From the given dataset, Data Scientist is the highest paid job followed by Data Engineer and Data Architect.
  • From the given dashboard we can also conclude that majority of the people are switching their career into data domain i.e: 59.05% of the total people attended the survey switched their career to data domain.
  • Also while switching their career around 42% find it neither easy nor difficult to switch their career while 25% find it difficult in switching their career to data domain.
  • From the conducted survey, it was evident that Python is the most popular programming language among professional, where data analyst are majority of the people who use Python Programming Language.
  • 4 out 10 professionals aren't satisfied with their salary.

Click Here to view the PDF of the BI Report.

Thank you!


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This GitHub repository is dedicated to examining and breaking down the results of a survey conducted among professionals in the field of data analysis.

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