https://github.com/ssoehdata/powerbi_sample_project

Sample PowerBI Dashboard project
https://github.com/ssoehdata/powerbi_sample_project

datavisualization dataviz powerbi

Last synced: 5 months ago
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Sample PowerBI Dashboard project

• Host: GitHub
• URL: https://github.com/ssoehdata/powerbi_sample_project
• Owner: ssoehdata
• License: other
• Created: 2024-02-11T11:12:33.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-02T07:41:44.000Z (about 2 years ago)
• Last Synced: 2025-01-26T02:18:51.498Z (over 1 year ago)
• Topics: datavisualization, dataviz, powerbi
• Homepage:
• Size: 432 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# PowerBI_sample_project

#### Notes on the Data Professional Survey Project

###### (*The image below is a .jpg image of the PowerBI project also incl. in this repository*)

![alt text](https://github.com/ssoehdata/PowerBI_examples/blob/main/DataProfessionalsSurvey/jpg/DataProfSurvey.jpg)

#### This is a sample project made in PowerBI with an outline of the steps below:

1) Data Source

   

   and related info. File format is a .csv file.

   The dataset was obtained here: 

   https://github.com/AlexTheAnalyst/Power-BI/blob/main/Power%20BI%20-%20Final%20Project.xlsx 

2) Data cleaning

  

   I decided to perform all of the data cleaning steps _within PowerBI_ (i.e. not prior to in the original .csv file). 


   While it can be easier to perform much if not all of initial data cleaning steps outside of PowerBI, I wanted to use the


   included toolset for this project.

   Sample list of some of the data cleaning steps:

   

   a) AVG SALARY


   Separated salary values from ranges to average values. Salaries were

   given by the paricipants as ranges (e.g. 60K- 100K USD).
The averages for theses data points were then calculated so that I could represent average salary values from the survey.   

   b) Removed unecessary columns   

   c) Removed uneeded abbreviations (e.g.: 'k' for thousands of USD)

3) Created the Dashboard