In October 2019 I ran my Introduction to Power Query webinar for free (previously it was a paid session). I want to get this information out to as many people as possible. please share this resource with colleagues and your network.
The detailed pdf manual and example file can be downloaded by using the button below. Content listed below the video.
Power Query allows you to automatically perform data cleansing routines on your data sources – no manual intervention required. Simply refresh and your data is ready to use. You can use csv files; txt files; databases and existing Excel tables as your data sources. Learn the basics, plus an advanced technique to automate data cleansing routines on your data sources.
CPD note – if you are claiming CPD for watching this recording you need to keep your own records. People who attend the live sessions receive an annual listing of attendances.
This session covers
fixing dates so that Excel can recognise them
formatting columns as text – retaining leading zeroes in CSV files
deleting unwanted rows and columns from your data
removing leading and trailing spaces
populating blank values with zeroes
populating blanks with entries from above
correcting trailing minus signs
unpivot a report – how to convert a report layout into a data table layout
Did you know you can sort by colour in Excel? Did you know you can sort ascending or descending within that colour? I was asked a question in a recent webinar and in answering I found out that you can sort within a sort.
One of the most common custom number formats used in Excel is the mmm-yy format. As an example this format displays all the dates in January 2019 as Jan-19. This format is used in most reports, budgets and financial models. There is quicker way to apply it than using the Format Cells dialog.
The Duplicates option under conditional formatting is useful to identify when there are duplicate entries within a range. This requires you to review the range to see if there are any duplicates. You can use a formula to identify ranges that contain duplicates.
If you have a system that uses initials to identify people then being able to extract initials from a first name and last name combination can be handy. A formula can automate the process and there is also a quick, manual way to do it.