We continue exploring data refinements using Power BI. In these videos we cover Grouping on dates, numbers and text along with creating hierarchies.
Comprehensive video showing very useful ways of using VLOOKUP. Explains when to use Range Lookup with easy examples.
Learn why in this short, 5-minute video.
More articles on VLOOKUP are here
We have already learnt how to import and clean data from various sources using Power Query (Transform). Once the data is inside Power BI Data tab (or Excel Data Model of Power Pivot), we can refine and enrich it further using various features like synonyms, custom sorting order, formatting, summarization and more. Watch the video for details – English as well as हिंदी versions are available.
Using Power Query, this type of work is extremely painless and quick. What’s more it refreshes data in just a click when more files are added.
This is a part of data clean up series based upon the 10 rules for clean data. This video covers rules 1, 5, 6, 10 – cross-tabs, data growing horizontally and multi-layered headings.
Starting a new video series on Power BI. Here is the first video: Power BI Data Import.
We spend lot of time in data cleaning. But there is no simple definition of exactly what clean data means. Therefore, I created a simple 10 item checklist. If all 10 items are correct, data is clean. Simple and easy to use.
10 rules for Clean data
Remember, here we are talking about input data – not output (reports).
- Each column must have a heading
- No blank headings
- No duplicate headings
- No formulas in headings
- No merged cells
- Each column must have ONE meaning
- Each column must have ONE type of data
- No subtotals or grand totals
- Formatting should not be used instead of data
- Data must grow vertically, not horizontally
Convert clean data to a Table
If you are using Excel, as soon as data is cleaned, convert it into a Table. Why? Here are the benefits of using Excel Tables – 13 articles.