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https://github.com/al-ghaly/power-bi-dashboard

A dashboard to analyze data specializations job market.
https://github.com/al-ghaly/power-bi-dashboard

dashboard data-analysis powerbi

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A dashboard to analyze data specializations job market.

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README

        

# Power-BI-Dashboard
## To analyze data-related job market.
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### The aim of this project is to analyze all the factors that affect the salary of a data specialist.

The readme file will just include a preview about the project , but the detailed description will be in the project's docs.
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## There is a little preview for the Dashboards, Enjoy!

https://github.com/al-ghaly/Power-BI-Dashboard/assets/61648960/c5922e3f-a5bd-4b60-90cd-963065fe986d


**In the project files you will see some files:**
- **Project Preview.mp4**: Video Preview for the project.
- **Dashboard.pbix**: The Power BI file that includes the analysis' dashboard.
- **Project Docs.pdf:** The project's documentations.
- **eda_data.csv-glassdoor_jobs.csv:** The datasets used for the analysis.
- **Cleaned Jobs.csv:** The cleaned dataset imported from Power Query, after the data modeling phase.




**The Power BI Dashboard consists of five report pages:**
* **Explore:** Includes some visuals that will help us understand the dataset (**Exploratory Data Analysis**).
* **Basic Analysis:** Includes some basic (level 1) analysis mainly focused on the most basic factors that affect the salary.
* **Drill:** Contains the ratio of each skill, which represents how many rows in the dataset have a skill like Python or Excel.
* **More Analysis:** Includes deeper analysis which visualizes some factors that affect the expected salary of a data specialist.
* **Complex Analysis:** As a data specialists there are tons of skills we need to master like:
- Python
- Excel
- R
- etc

>But Which skill is really vital?

This report page is mainly focused on analyzing the impact of having each skill on your expected salary as a data Engineer.




#### The Project Documentations file includes:
- Each step we have done throughout the project
- **Data Definition:** Which describes the dataset in details.
- **Data Cleaning** steps explained.
- **Questions** We want the dasboard to answer.
- **Exploratory Visuals** To help us understand the data.
- **The Insights** We have extracted from the analysis along with the visuals used to communicate those insights.
- All insights are illustrated.

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