baspedia.blogg.se - Unpivot add in for mac excel

Grouping daily data into manageable monthly results before importing them into Excel.

Loading millions of sales rows into Power Pivot directly.Converting exported accounting files into a digestible layout.Loading an entire folder of text files into a single data table.Why is it worthwhile learning how to use Get & Transform? Well, when I look at what I have personally used this functionality for, it has offered me a malleable set of tools for: In the diagram below, we see that Get & Transform performs this tedious role of pre-processing the data before it is loaded. Some examples of data manipulation would include: Using its embedded extract, transform, and load (ETL) functionality enables financial analysts to seamlessly link to their data sources and get to insights quicker.Īs we tee up data to load into Excel or Power BI, we usually have to perform some transformations to the data. What Does Get & Transform Do?Ī solution to this common problem is actually quite accessible: Excel and Power BI have an entire set of data transformation tools that few users are aware of, named Get & Transform (formerly known as Power Query). Time spent scrubbing this data is valuable time wasted for the analyst, yet at times this task is accepted as a necessary evil to be tolerated. Sometimes, the data is arranged in a confusing layout or does not have all the requisite components for analysis. While modern-day analytics focuses on cutting-edge advances in machine learning algorithms, the day-to-day drudgery of data analysis is still a manual process of finding, compiling, and wrangling disparate data types.įor the financial analyst, data often arrives as an Excel spreadsheet, but just as often, it is a data dump into a CSV or a query into a SQL database. In this age of data lakes and petabyte-scale databases, it is shocking how frequently I still receive data in the form of CSV, text, and Excel files. Customizing with code: The M language is the functional code used within Get & Transform, and it is possible to write custom queries for more bespoke requests.

Different data sources: With a wide range of input files accepted, it is possible to work with disparate sources while maintaining consistent and normalized output quality.

Handling text strings: As a significant improvement over the Text to Columns functionality in Excel, Get & Transform can quickly parse through and separate combined text and number strings into separate columns.

These instructions can be saved and then repeated for future imports.

Loading CSVs: Importing a CSV via Get & Transform allows for it to be cleaned and made "narrower" or "wider" to assist with data pivoting.

In Power BI it exists in the External Data section of the Home tab.

Access in Excel is via the Get & Transform Data section within the Data tab.