Create a dashboard: Visualization of required data on dashboard.: Lesson-4
Create a dashboard in Microsoft Power BI: Lesson-4
Designing a visually appealing and informative dashboard in Power BI using an Excel file is the best way to get insights from your data. Here is a step-by-step guide:
1. Connect to your Excel file:
- Open Power BI Desktop.
- In the "Home" tab, click "Get Data".
- Select "Excel" and choose your Excel file.
- Select the specific sheet(s) or tables you want to connect to.
- Click "Load" to import the data into Power BI. or
- Click "Edit" or "Transform Data to clean data (Modify data) if required (optional)
- Click on Get data(Step 1)
- Select Excel Work Book
- Select Required Excel Workbook (and click on Load button)
- its in Report View (after loading)
2. Prepare your data (optional):
- Power BI automatically imports your data, but you may need to clean or transform it before you can create a visualization.
- In the "Modeling" tab, use the "Transform Data" option to access the Power Query Editor.
- Here you can remove unwanted columns, filter data, change data types, etc.
- Make sure your data is structured and ready for visualization.
3. Create your visuals:
- In the "Report" tab, you will find different types of visuals such as bar charts, line charts, maps, tables, etc.
-
Right panel of visual tools
-
- Drag and drop the desired visual onto the report canvas.
- Select your data fields (headings) to adjust each visual, colors, axes, labels, etc.
- Experiment with different visuals to find the best way to represent your data.
- Select ID , Name & Saleray from employee table Step 2
- Select Pie char then data convert in Pie shape (Step 3)
- You can also resize view
-
Add another chart in dashboard (Step 4)
-
click on dashboard not on any chart
-
double click required chart icon to display on dashboard
-
-
Save this dashboard
-
Document folder view
Tags:
- Dashboard design
- Data visualization
- User interface
- Analytics
- Information architecture
- UI/UX principles
- Data integration
- Dashboard components
- Graphical representation
- Data interpretation
- Visualization tools
- Dashboard layout
- Interactive dashboards
- Data-driven decisions
- Chart types
- Visual hierarchy
- Color psychology
- Dashboard navigation
- Data filtering
- Dashboard responsiveness
- Data aggregation
- Widget customization
- Key performance indicators (KPIs)
- Data presentation
- Dashboard aesthetics
- Data storytelling
- Dashboard optimization
- Dashboard usability
- Data exploration
- Dashboard customization
- Dashboard performance
- User feedback
- Dashboard interactivity
- Dashboard best practices
- Dashboard functionality
- Data accuracy
- Dashboard scalability
- Dashboard maintenance
- Data security
- User engagement
- Dashboard deployment
- Data governance
- Dashboard testing
- Data granularity
- Dashboard updates
- Data validation
- Dashboard evaluation
- Data warehousing
- Dashboard collaboration
- Data visualization trends.
- Power
- BI
- Microsoft
- Micro Soft
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