Transforming Data Using Power Query Editor - AnalysisWithSadiul

Various types of visuals can be created in Power BI to highlight different aspects of data. Here are some popular visuals and their uses:

Transforming Data Using Power Query Editor

 

 1. Charts

 

1. Bar Chart:

   - Vertical Bar Chart: Displays categorical data comparatively, where the bars are vertical.

   - Horizontal Bar Chart: Bars are arranged horizontally, usually used for data with long category names.

2. Column Chart:

   - Clustered Column Chart: Used to compare multiple categories.

   - Stacked Column Chart: Displays multiple series together in a stacked manner.

3. Line Chart:

   - Line Chart: Used for showing changes over time, such as monthly sales.

4. Pie Chart:

   - Pie Chart: Divides a whole circle to display the relative proportions of different parts.

5. Donut Chart:

   - Donut Chart: Similar to a pie chart but with a hole in the center, providing more visual space.

6. Area Chart:

   - Area Chart: Shows trends over time by filling the area under a line.

 

 2. Graphs

 

1. Scatter Plot:

   - Scatter Plot: Used to show the relationship between two variables. It helps identify the correlation of the plotted data.

2. Bubble Chart:

   - Bubble Chart: Displays three variables, where bubbles appear in different sizes controlled by different variables.

 

 3. Maps

 

1. Filled Map:

   - Filled Map: Displays different values within geographical regions, such as showing the average income per country.

2. Shape Map:

   - Shape Map: Displays data using custom-shaped geographical regions.

3. ArcGIS Maps:

   - ArcGIS Maps: Used for advanced geographical analysis.

 

 4. Tables

 

1. Table:

   - Table: Displays multiple columns and rows of data to easily show detailed information.

2. Matrix:

   - Matrix: Similar to a table but allows you to group data by columns and rows and aggregate data in each cell with detailed information.

 

 5. Other Visuals

 

1. KPI (Key Performance Indicator):

   - KPI: Compares the current status of a key metric against a target.

2. Card:

   - Card: Displays a single value, such as the total sales number or average grade.

3. Slicer:

   - Slicer: Acts as an interactive filter that affects data visuals.

4. Treemap:

   - Treemap: Displays relative values within hierarchical data. It's used to show relationships across different levels.

5. Funnel Chart:

   - Funnel Chart: Used to show changes across different stages of a process or sales, such as a sales funnel.

By using these visuals, you can analyze your data from different perspectives and present information that is easily understandable to users.

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