Skip to main content

Power Query Basics - Clean Raw Data and reuse the file for updating new data

Download Example File from link below
https://drive.google.com/file/d/1FnYGYGfTnFEeMwI-EZS89xgIOklrNBNA/view?usp=sharing


Power Query is built in to Windows versions of Office 365, Excel 2016, Excel 2019 and is available as a free download in Windows versions of Excel 2010 and Excel 2013. The tool is designed to extract, transform, and load data into Excel from a variety of sources. The best part: Power Query remembers your steps and will play them back when you want to refresh the data. This means you can clean data in 80% of the normal time

I say this about a lot of new Excel features, but this really is the best feature to hit Excel in 20 years.

Get Power Query

You may already have Power Query. It is in the Get & Transform group on the Data tab.

The Get & Transform Data group includes Get Data, From Text/CSV, From Web, From Table/Range, Recent Sources, Existing Connections.

But if you are in Excel 2010 or Excel 2013, go to the Internet and search for Download Power Query. Your Power Query commands will appear on a dedicated Power Query tab in the Ribbon.

Clean Data the First Time in Power Query

To give you an example of some of the awesomeness of Power Query, say that you get the file shown below every day. Column A is not filled in. Quarters are going across instead of down the page.

To start, save that workbook to your hard drive. Put it in a predictable place with a name that you will use for that file every day.


In Excel, select From Table under Data tab.



Power Query Window will appear.



Now you need to fix all the blank cells in column A. If you were to do this in the Excel user interface, the unwieldy command sequence is Home, Find & Select, Go To Special, Blanks, Equals, Up Arrow, Ctrl+Enter.

The blank cells in column A now say "null" in the Power Query Editor.

In Power Query, select Transform, Fill, Down.

Choose column A. Open the Fill drop-down menu and choose FIll, Down.

All of the null values are replaced with the value from above. With Power Query, it takes three clicks instead of seven.

Next problem: The quarters are going across instead of down. In Excel, you can fix this with a Multiple Consolidation Range pivot table. This requires 12 steps and 23+ clicks.

In Power Query select the two columns that are not quarters. Open the Unpivot Columns dropdown on the Transform tab and choose Unpivot Other Columns, as shown below.

Select columns A and B in Power Query. On the Ribbon, choose Unpivot other columns.

Right-click on the newly created Attribute column and rename it Quarter instead of Attribute. Twenty-plus clicks in Excel becomes five clicks in Power Query.

You have four times as many rows. Columns A & B appear the same (except there are four rows for each previous one row). The Quarters that were going across columns C, D, E, and F now go down column C. The revenue from the data set is now in column D.

Now, to be fair, not every cleaning step is shorter in Power Query than in Excel. Removing a column still means right-clicking a column and choosing Remove Column. But to be honest, the story here is not about the time savings on Day 1.

Power Query Remembers All of Your Steps

Look on the right side of the Power Query window. There is a list called Applied Steps. It is an instant audit trail of all of your steps. Click any gear icon to change your choices in that step and have the changes cascade through the future steps. Click on any step for a view of how the data looked before that step.

On the right side of the Power Query Editor, a list of Applied Steps. For this example, you have Source, Navigation, Promoted Headers, Changed Type, Filled Down, Unpivoted Other Columsn, Renamed Columns.

When you are done cleaning the data, click Close & Load To as shown below.

Tip

If your data is more than 1,048,576 rows, you can use the Close & Load dropdown to load the data directly to the Power Pivot Data Model, which can accommodate 995 million rows if you have enough memory installed on the machine.


Select New Worksheet and Table then click on load


In a few seconds, your transformed data appears in Excel. Awesome.

The transformed data is returned to a table in Excel.

The Payoff: Clean Data With One Click

But again, the Power Query story is not about the time savings on Day 1. When you select the data returned by Power Query, a Queries & Connections panel appears on the right side of Excel, and on it is a Refresh button. (We need an Edit button here, but because there isn't one, you have to right-click the original query to view or make changes to the original query).

The Queries & Connections panel lists one query called Sheet1 with 68 rows loaded. If you make the panel wider and hover over Sheet1, a refresh icon appears.

You can add more data under the Raw data and click on Refresh. New data will be updated automatically.

Click on Show queries if the Right pane doesn't appear.



This is just a example of what power query can do. I will upload more posts for other features of Power Query.

Labels:

Comments

Post a Comment

Popular posts from this blog

Indirect Function

INDIRECT  is pretty cool for grabbing a value from a cell. Can  INDIRECT  point to a multi-cell range and be used in a  VLOOKUP  or  SUMIF  function?  You can build an  INDIRECT  function that points to a range. The range might be used as the lookup table in a  VLOOKUP  or as a range in  SUMIF  or  COUNTIF . In  Figure , the formula pulls data from the worksheets specified in row 4. The second argument in the  SUMIF  function looks for records that match a certain date from column A. Note:  Because each worksheet might have a different number of records, I chose to have each range extend to 300. This is a number that is sufficiently larger than the number of transactions on any sheet. The formula in cell B5 is: =SUMIF(INDIRECT(B$4&"!A2:A300"), $A5, INDIRECT(B$4&"!C2:C300")) Summary:  You can use  INDIRECT  to grab data from a multi-cell range.
Post a Comment
Read more

Charts - Make your data presentable

One-click charts are easy: Select the data and press  Alt+F1 . What if you would rather create bar charts instead of the default clustered column chart? To make your life easier, you can change the default chart type. Store your favorite chart settings in a template and then teach Excel to produce your favorite chart in response to  Alt+F1 . Say that you want to clean up the chart above. All of those zeros on the left axis take up a lot of space without adding value. Double-click those numbers and change Display Units from None to Millions. To move the legend to the top, click the + sign next to the chart, choose the arrow to the right of Legend, and choose Top. Change the color scheme to something that works with your company colors. Right-click the chart and choose Save As Template. Then, give the template a name. (I called mine ClusteredColumn.) Select a chart. In the Design tab of the Ribbon, choose Change Chart Type. Click on the Templates folder to see the template that ...
Post a Comment
Read more

20 Power BI Dax Measures

Power bi 20 dax measures 20 DAX (Data Analysis Expressions) measures in Power BI with examples: Total Sales: scss Copy code Total Sales = SUM (Sales[Amount]) Average Sales Price: scss Copy code Avg Sales Price = AVERAGE (Sales[Amount]) Total Units Sold: mathematica Copy code Total Units Sold = SUM ( Sales [ Quantity ] ) Total Customers: scss Copy code Total Customers = COUNTROWS (Customer) Total Products: mathematica Copy code Total Products = COUNTROWS ( Product ) Maximum Sales Amount: scss Copy code Max Sales Amount = MAX (Sales[Amount]) Minimum Sales Amount: scss Copy code Min Sales Amount = MIN (Sales[Amount]) Sales Growth Percentage: mathematica Copy code Sales Growth % = ( Total Sales - [ Total Sales Last Year ] ) / [ Total Sales Last Year ] Total Profit: scss Copy code Total Profit = SUM (Sales[Profit]) Total Orders: scss Copy code Total Orders = COUNTROWS (Orders) Total Customers with Sales: css Copy code Total Customers with Sales = COUNTROWS( FILTER ...
Post a Comment
Read more