How to use Excel for data analysis? Excel data analysis function tutorial sharing

It may be easy to make a data table, but when analyzing the data in it, the process of using formulas to find important conclusions is often scratching your head. Now, "Excel" has launched the "Analyze Data" function, which can create a series of recommended charts and data tables, so that you can extract important information without using complex formulas.

Let's use an example to see how to easily spot trends in data.

Entry skills: leave the heavy work to " Excel "

Your goal: Analyze sales data for a bike repair shop in four regions, spot trends, and find insights.

Traditional approach: Create multiple charts for different views and summaries of data, and rearrange the data table for each chart.

Use "Analyze Data": Let "ECl" create these charts and data tables for you, and provide you with a variety of insights to choose from.

For example, the data table on the left side of the image below shows sales data for a month for a chain of bicycle repair stores, each of which sells items such as complete bikes, tires, and repair kits.

To get automated insights, just tap anywhere in the data table, then tap Analyze Data on the Start page toolbar. "Excel" will analyze the data in the data table in detail, and display the results through a new panel on the right:

Among the more than 20 results generated by "Excel", you will see regional sales summaries, sales charts for each product, comparisons between different regions, etc. If you manually make these visual analysis, it may cost you several Hour!

The results in the analysis data panel will not be updated automatically, so if you change the content in the data table, you need to close this tool, and you can see the updated results when you open it again.

In addition, you can drag any chart and the resulting custom data table out of the panel and use them in "Excel", "Word" or "PowerPoint": click the "+Insert." text below the object to insert it Insert into a new worksheet in the workbook (including related data in the original data sheet).

Advanced usage: let "Excel") answer your questions

Your goal: find answers to data-related questions

Traditional method: Create a custom formula to calculate the answer, which may require you to restructure the data table, or create another table to hold only relevant data.

Use "Analysis Data": Use natural language to ask questions to "EC" in the text box at the top of the analysis data panel (Chinese is not supported yet). For example, for the data table in the figure above, you can ask: "Which Item Sold had the highest Revenue?" "Back Tire":

You can also enter questions that involve multiple data fields, such as "What is the total sales of mountain bikes and city bikes?" or "What is the total number of front and rear tires in the West?". As long as you write the name of the data field in the question, you can get the answer.

Pro Tip: Choose How You Analyze Each Field

The Analyze Data panel can also exclude certain fields from the analysis and confirm that Excel treats each field correctly. You can tap the settings (gear) button next to Discovery Insights to bring up the "Which fields are you most interested in?" dialog:

In the bicycle repair chain example, you can see that the analytics correctly identify the non-numeric fields, but you may need to make it parse "Pice" as an average rather than a total. Tap "Sum" and select "Average" and now you can type in a question like "What are the prices in each region?" and you'll see a graph of average prices by region.

Guess you like

Origin blog.csdn.net/Someone_sky/article/details/131638851