Transform data in excel

If you have a worksheet with data in columns that you need to rotate to rearrange it in rows, use the Transpose feature. With it, you can quickly switch data from columns to rows, or vice versa.

For example, if your data looks like this, with Sales Regions in the column headings and and Quarters along the left side:

The Transpose feature will rearrange the table such that the Quarters are showing in the column headings and the Sales Regions can be seen on the left, like this:

Note: If your data is in an Excel table, the Transpose feature won’t be available. You can convert the table to a range first, or you can use the TRANSPOSE function to rotate the rows and columns.

Here’s how to do it:

1. Select the range of data you want to rearrange, including any row or column labels, and press Ctrl+C.

   Note: Ensure that you copy the data to do this, since using the Cut command or Ctrl+X won’t work.

2. Choose a new location in the worksheet where you want to paste the transposed table, ensuring that there is plenty of room to paste your data. The new table that you paste there will entirely overwrite any data / formatting that’s already there.

   Right-click over the top-left cell of where you want to paste the transposed table, then choose Transpose .

   

3. After rotating the data successfully, you can delete the original table and the data in the new table will remain intact.

You can paste data as transposed data within your workbook. Transpose reorients the content of copied cells when pasting. Data in rows is pasted into columns and vice versa.

Here’s how you can transpose cell content:

1. Copy the cell range.

2. Select the empty cells where you want to paste the transposed data.

3. On the Home tab, click the Paste icon, and select Paste Transpose.

Focus on your business

goals while we take care of your data!

Try Coupler.io

Go to the Data tab in the ribbon. Select Transform Data by Example.

1. A list of transformations from the search will be returned.
2. Hover your mouse cursor over any of the transformations returned to preview the results.
3. You can see a live preview of the transformation results in your data.

What does transform data mean in Excel?

Transforming data means modifying it in some way to meet your data analysis requirements. For example, you can remove a column, change a data type, or filter rows. Each of these operations is a data transformation.

Where is transform in Excel?

In Excel 2016, they can be accessed through the Data tab, and then the Get & Transform Data section. In Power BI, the functionality exists on the Home tab, in the External Data section.

The Data Transformation Process Explained in Four Steps

1. Step 1: Data interpretation.
2. Step 2: Pre-translation data quality check.
3. Step 3: Data translation.
4. Step 4: Post-translation data quality check.

How do you add get & transform data in Excel?

Import data with Power Query (Get & Transform)

1. Go to Ribbon > Data > Get Data > From File > From Workbook.
2. Power Query displays the Import Data dialog box.
3. Identify the source workbook and double-click on it.
4. Power Query displays the Navigator dialog box.
5. Select the data source you want to work with.
6. Click Load.

What is the difference between load and transform data in Excel?

When you load data you can use data directly as you import on power bi desktop. If you use transform you can modify the data you already have or importing data.

How do I enable the data option in Excel?

Show legacy data import wizards

1. Select File > Options > Data.
2. Select one or more wizards to enable access from the Excel ribbon.
3. Close the workbook and then reopen it to see the activate the wizards.
4. Select Data > Get Data > Legacy Wizards, and then select the wizard you want.

Why do we transform data?

Data is transformed to make it better-organized. Transformed data may be easier for both humans and computers to use. Properly formatted and validated data improves data quality and protects applications from potential landmines such as null values, unexpected duplicates, incorrect indexing, and incompatible formats.

What is an Xlookup in Excel?

Use the XLOOKUP function to find things in a table or range by row.With XLOOKUP, you can look in one column for a search term, and return a result from the same row in another column, regardless of which side the return column is on.

Can Excel get data from PDF?

Technically, Microsoft built a “PDF data connector” for Excel, which lets end users import PDF table data using the Data tab in Excel. They select “From File” and then “From PDF” to import data.

What are the types of data transformation?

Top 8 Data Transformation Methods

• 1| Aggregation. Data aggregation is the method where raw data is gathered and expressed in a summary form for statistical analysis.
• 2| Attribute Construction.
• 3| Discretisation.
• 4| Generalisation.
• 5| Integration.
• 6| Manipulation.
• 7| Normalisation.
• 8| Smoothing.

What is data transformation give example?

Data transformation is the mapping and conversion of data from one format to another. For example, XML data can be transformed from XML data valid to one XML Schema to another XML document valid to a different XML Schema. Other examples include the data transformation from non-XML data to XML data.

What is transformation with example?

Transformation is the process of changing. An example of a transformation is a caterpillar turning into a butterfly.

How can power query transform data?

These transformations can be as simple as removing a column or filtering rows, or as common as using the first row as a table header. There are also advanced transformation options such as merge, append, group by, pivot, and unpivot.

How do I load data into a query table in Excel?

In Excel, you may want to load a query into another worksheet or Data Model.

1. In Excel, select Data > Queries & Connections, and then select the Queries tab.
2. In the list of queries, locate the query, right click the query, and then select Load To.
3. Decide how you want to import the data, and then select OK.

How do I convert data to normal distribution in Excel?

Creating a Bell Curve in Excel

1. In cell A1 enter 35.
2. In the cell below it enter 36 and create a series from 35 to 95 (where 95 is Mean + 3* Standard Deviation).
3. In the cell adjacent to 35, enter the formula: =NORM.DIST(A1,65,10,FALSE)
4. Again use the fill handle to quickly copy and paste the formula for all the cells.

How do you get data analysis on Excel?

Windows

1. Click the File tab, click Options, and then click the Add-Ins category.
2. In the Manage box, select Excel Add-ins and then click Go.
3. In the Add-Ins box, check the Analysis ToolPak check box, and then click OK. If Analysis ToolPak is not listed in the Add-Ins available box, click Browse to locate it.

How do you use data function?

Remarks. You use the SETDATA and GETDATA functions for transferring data in a notification. The functions are typically needed for handling actions on the notification. The SETDATA function is called from the source of the notification, while the GETDATA function is called from the action code.

What are the 4 functions of transforming the data into information?

Take Depressed Data, follow these four easy steps and voila: Inspirational Information!

• Know your business goals. An often neglected first step you have got to be very aware of, and intimate with.
• Choose the right metrics.
• Set targets.
• Reflect and Refine.

How is raw data transformed?

Data transformation is the process of converting data from one format to another. The most common data transformations are converting raw data into a clean and usable form, converting data types, removing duplicate data, and enriching the data to benefit an organization.

What are the three most common transformations in ETL processes?

Let’s dive in and learn how to convert raw data into insights through the three-step ETL process.

• 1^st Step – Extraction.
• 2nd Step – Transformation.
• 3rd Step – Loading.

Transpose (rotate) data from rows to columns or vice versa

If you have a worksheet with data in columns that you need to rotate to rearrange it in rows, use the Transpose feature. With it, you can quickly switch data from columns to rows, or vice versa.

For example, if your data looks like this, with Sales Regions in the column headings and and Quarters along the left side:

The Transpose feature will rearrange the table such that the Quarters are showing in the column headings and the Sales Regions can be seen on the left, like this:

Note: If your data is in an Excel table, the Transpose feature won’t be available. You can convert the table to a range first, or you can use the TRANSPOSE function to rotate the rows and columns.

Here’s how to do it:

Select the range of data you want to rearrange, including any row or column labels, and press Ctrl+C.

Note: Ensure that you copy the data to do this, since using the Cut command or Ctrl+X won’t work.

Choose a new location in the worksheet where you want to paste the transposed table, ensuring that there is plenty of room to paste your data. The new table that you paste there will entirely overwrite any data / formatting that’s already there.

Right-click over the top-left cell of where you want to paste the transposed table, then choose Transpose .

After rotating the data successfully, you can delete the original table and the data in the new table will remain intact.

Tips for transposing your data

If your data includes formulas, Excel automatically updates them to match the new placement. Verify these formulas use absolute references—if they don’t, you can switch between relative, absolute, and mixed references before you rotate the data.

If you want to rotate your data frequently to view it from different angles, consider creating a PivotTable so that you can quickly pivot your data by dragging fields from the Rows area to the Columns area (or vice versa) in the PivotTable Field List.

You can paste data as transposed data within your workbook. Transpose reorients the content of copied cells when pasting. Data in rows is pasted into columns and vice versa.

Here’s how you can transpose cell content:

Copy the cell range.

Select the empty cells where you want to paste the transposed data.

On the Home tab, click the Paste icon, and select Paste Transpose.

Need more help?

You can always ask an expert in the Excel Tech Community or get support in the Answers community.

Источник

Microsoft Excel — The BASICS of Data Transformation

Key Concepts Essential to Shaping Data For Analysis

Whenever analysis and reporting is performed in Excel — and practically every company does — it is imperative that data is aggregated correctly and “transformed”.

For analysis to be efficient and effective, proper structure of the data and the development of additional fields (to aid analysis) is very important.

The two charts above were developed for a recent training session I conducted.

A part of the session was to focus on working with a data set I compiled (Apple historical sales) and performing basic data “shaping” to enable flexible analysis and reporting.

Below, I highlight the steps taken to do this and touch on three areas of Excel that are typically used for basic data transformation and analysis:

• Excel Data Tables
• VLOOKUP function
• Pivot Tables (future post…) — Part 2

Data Transformation / Shaping Process

Excel Data Tables

Here is a excellent summary from TechRepublic of key reasons you want to use Excel Tables. Key considerations mentioned include:

• Effortless data entry
• Always visible headers
• Formula autofill (my favorite!)
• Dynamic range

Step 1-Convert raw data input into an Excel Table

Step 2 — Create additional fields in the data table

This will enable the analysis we are potentially interested in getting. In this session, I have anticipated a need for three additional fields.

Step 3 — Populate the Calendar Year field

Step 4 — Populate the Category Summary field

We will use a VLOOKUP with EXACT match to do this. Here is the formula syntax for VLOOKUP.

Step 5 — Populate the Stratification field

Getting this field populated is more complicated. Here’s why:

• It involves 2 lookup tables. Since the Amount field includes $’s AND Units, separate lookup tables are needed for DOLLARS grouping and UNITS grouping.
• Nesting functions is used to resolve this. The formula performs the following:

— Use the IF Function to check whether the TYPE field is “Dollars”.

— If TYPE = “Dollars”, then use the specified lookup table (result if IF statement is TRUE).

— If TYPE is NOT “Dollars”, then use the Units lookup table (result if IF statement is FALSE).

Our data set is complete…for now.

Next step is to start to build analysis and visualizations of the data. This is the fun part — and where pivot tables make it simple!

I will cover the basics tips I provided in the presentation in a future post…stay tuned!

About Don

“On a mission to challenge the status quo to a more productive and effective end…”

Don is passionate about helping professionals and organizations keep up and adapt to the changing business world that we operate in.

Источник

How to Transform Data in Excel (Log, Square Root, Cube Root)

Many statistical tests make the assumption that datasets are normally distributed.

However, this assumption is often violated in practice. One way to address this issue is to transform the values of the dataset using one of the following three transformations:

1. Log Transformation: Transform the values from y to log(y).

2. Square Root Transformation: Transform the values from y to √ y .

3. Cube Root Transformation: Transform the values from y to y 1/3 .

By performing these transformations, the data typically becomes closer to normally distributed. The following examples show how to perform these transformations in Excel.

Log Transformation in Excel

To apply a log transformation to a dataset in Excel, we can use the =LOG10() function.

The following screenshot shows how to apply a log transformation to a dataset in Excel:

To determine if this transformation made the dataset more normally distributed, we can perform a Jarque-Bera normality test in Excel.

The test statistic for this test is defined as:

JB =(n/6) * (S 2 + (C 2 /4))

• n: the number of observations in the sample
• S: the sample skewness
• C: the sample kurtosis

Under the null hypothesis of normality, JB