6 Must have line charts for business data analysis ππ π―
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1. Indexed chart for comparing trend 2. #Sparkline for tiny insight 3. Spaghetti line #chart for bringing focus 4. Smoothed line chart for evening out edge 5. Forecast chart to predict future value based on trend & seasonality 6. Line chart combination when just a line won't do
βΆ Line charts are similar to #scatterplots except that they connect the data points with lines. Choose a line chart when ordering and joining the #data points by their X-axis values highlights meaningful changes in the vertical Y-axis variable.
πΌ #Analysts use these charts in many settings to display different types of information
π¨βπ» 10 different ways to remove duplicate records in SQL
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1 - Delete using Unique Identifier.
2 - Using SELF join.
3 - Using Window function.
4 - Using MIN function. This delete even multiple duplicate records.
5 - Using backup table.
6 - Using backup table without dropping the original table.
7 - Delete using CTID.
8 - By creating a temporary unique id column.
β Today I Made a Awesome #America Retail Analysis Dashboard
π The beauty of Power BI is that you can look at each element to make better #decisions. The #dashboard's visual representation allows users to quickly see the #data that's relevant for the choices they have to make
π₯Then, define clear objectives to ensure that the dashboard accurately reflects your desired outcomes. π