Drag the field to the new location within the order of columns and release the field. To move a column on the Visualizations pane, select and hold the field in the Columns section. On the Visualizations pane, rearrange the data fields in the Columns section to match the order shown in the following image: Power BI adds the selected data as fields to the Columns section on the Visualizations pane. Under Sales, expand This Year Sales and select the checkboxes for all three options: Value, Goal, and Status. This action configures the Category data as a field in the Columns section on the Visualizations pane.Įxpand Sales and select the Average Unit Price and Last Year Sales checkboxes. Power BI automatically creates a table that lists all the categories in the Retail Analysis Sample semantic model. On the Data pane, expand Item and select the Category checkbox. You can create a table like the one shown at the beginning of this article and display sales values by item category. The sample opens in report view.Īt the top, select Edit to open the Report editor. On the Learning center page, under Sample reports, locate and select the Retail Analysis Sample to download it. ![]() This tutorial uses the Retail Analysis Sample in the Power BI service. The Retail Analysis Sample PBIX file opens in report view.Īt the bottom, select the green plus symbol In Power BI Desktop, select File > Open report.īrowse to and select the Retail Analysis Sample PBIX file, and then select Open. This tutorial uses the Retail Analysis Sample PBIX file.ĭownload the Retail Analysis Sample PBIX file to your desktop. Review and compare detailed data and exact values rather than visual representations. Represent numerical data by category with multiple measures.ĭisplay data as a matrix or in a tabular format with rows and columns. Tables are a great choice for several scenarios: You can also copy and paste individual cells and multiple cell selections into other applications. You can select rows, columns, and even individual cells, and then cross-highlight the values. Power BI helps you create tables in reports and cross-highlight elements within the table with other visuals on the same report page. ![]() In the following example, the table displays five different measures for the Category items, including average prices, year over year sales, and sales goals. Tables work well with quantitative comparisons where you're looking at many values for a single category. A table can also contain headers and a row for totals. Find the number of students who scored more than 70% in the exams.A table is a grid that contains related data in a logical series of rows and columns. What is the total number of marks of Charu in all the subjects? What are the average marks in operations of all the students? Answer the questions based on the following data. Browse more Topics under Data Interpretation We know the formula for the average which is total mobiles sold in 2007/number of stores. What will be an average number of mobile phones sold by all the showrooms in the year 2007? So, the reduction in percentage will be ((278 – 239)/278) * 100 = 14.02 %Īs the values in the question are rounded off to nearest integer the correct answer 14%. The total number of mobile phones there were sold by P in 2010 = 278. The total number of mobile phones there were sold by E in 2008 = 239. How many percentages of mobile phones were sold by the showroom E in 2008 less than the showroom A in 2010? Answer the below questions based on the information given in the table. The table below shows the number of the mobile phones that were sold by the showroom in the years from 2006 to 2010. Source: Wikimedia Commons Sample Question And in the end, if you are required to convert your answer as well. This will help you when you start solving the question. ![]() While looking at the options do note whether they are in percentage or decimal.If they are not very close then try and solve as quickly as you can. Before solving the question have a look at the options as well.This will be helpful when there are conversions asked. While carefully going through the data be absolutely sure about the units that are used.Try and check the information as carefully as you can. While looking at the data, be sure that you are in the right column and row.In this technique, you have to calculate everything by rounding it up to ‘0’ as the last digit. This technique can be very time-saving and can be particularly helpful when the options are not very close.
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