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nathmota authored Jun 2, 2024
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## Exploratory Data Analysis (EDA) and Visualization

The exploratory analysis as well as the visualizations are built using ***Power BI***. The processed data CSV file is loaded, and techniques such as type adjustment, column splitting and renaming, and creating columns with value ranges are applied in the Power Query editor.
The exploratory data analysis, as well as the visualizations, are built using ***Power BI***.

![Applied steps](figures/applied_steps.png)
### Transformation

The processed data CSV file is loaded, and techniques such as type adjustment, column splitting and renaming, and creating columns with value ranges are applied in the Power Query editor.

![Applied steps](figures/applied_steps2.png)

### Modeling

At this stage, a new data source is also incorporated: a table with some of the largest and main cities in the Netherlands along with their respective populations, which will be used in future analyses.
Thus, the Funda and LargestCities tables are related through the column 'city'.

![Applied steps](figures/model.png)

### Measures

Some measures were defined using DAX (Data Analysis Expressions) to support the analyses:

![Applied steps](figures/Measures.png)

### EDA

### Visualizations and Results



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