Also please note that any coincidences to real people and clubs are accidental. In a sample report we can see four names: John Doe and Jane Doe form the USA, Vasiliy Pupkin from Russia and Francois Pignon from France (my apologies to monsieur Francois Dupont, but for me monsieur Pignon is already №1 due to beautiful comedies with Pierre Richard). Each club member has own “table of charges” in this report, and each table precedes with two rows: pointer “Member name” and a member’ name itself. In this report we can see a standard header of what this document is about, and then information on each member’s charges. And every month club cashier got a report on charges collection. We do not know, what aims and goals of this club is (hope it is not “rule the world”), but anyway, this club exists with all necessary bureaucracy.Įvery month club members have to pay membership charges. Somehow these guys decide to unite and form a “JohnDoes International Club”. You can imagine (and this is true!) that in almost every culture exists John Doe. (I really don’t sure how I should name this post) The short preamble (“A long time ago…”) So here comes the cavalry Power Query with its outstanding abilities of raw data transformation. This becomes even more relevant when working with Power BI, where we don’t want or cannot make data preparation in Excel. While it is not so hard to make-up this data in Excel, it is better to avoid hand-made rinsing and washing every time we got a raw source updates. Usually it comes from some web reports or accounting programs output, where applied report criteria or other important data forms a header rows of report. In my work I often meet data sources with a mix of tabular data and other useful info outside the tables. In our example, that would be the first data example in cell B2 (“101”) after the header cell in B1 (“Employee ID”).Įach new column will fill with the data from the original column, using the initial first or second rows as the guide to choose the correct data.Home Power Query Transfer values to other columns in Power Query Transfer values to other columns in Power Query If you receive an error, type the following value in the sequence in the cell below your header cell, then click the “Flash Fill” button again. If the data is formatted correctly in your original column, Excel will automatically separate the content using the original header cell (A1) as its guide.

Repeat the action for each of your header cells (C1, D1, etc) to automatically fill the new columns with the matching data. Start with B1 (the “Employee ID” header in this example) and then, in the “Data Tools” section of the “Data” tab, click the “Flash Fill” button. For our example, “Employee ID” would go in cell B1, “First Name” in cell C1, etc.įor each column, select your header row. To use the “Flash Fill” feature, start by typing out the column headers in row 1. Using our employee list example, we have a single column (column A) header row, with a semicolon delimiter separating each bit of data. If you’d like to keep your original data intact, but still separate the data, you can use the “Flash Fill” feature instead. Your single column will separate each section, using the delimiters, into individual columns using the cell formatting options you selected. If you want to skip a column completely, select your column, then choose the “Do Not Import Column (Skip)” option. From there, select the appropriate data type from the “Column Data Format” section. To set these manually, click on your column in the “Data Preview” section first. Using this option, Excel will attempt to set the data type for each column automatically. By default, each column will be set to the “General” setting. For instance, if you have a column with dates, you can set the appropriate date format for that column. You’ll now need to set the cell types for each column.

Move from column to column in word