Microsoft has made it easy for users to take their Excel skills to the next level by incorporating Python programming capabilities directly into the software. With just a few clicks, users can access a range of powerful tools to tackle common data cleaning headaches.
To get started, simply click on the Formulas tab and select Insert Python or type =PY into any cell. This brings up a simple interface where users can write and execute Python code in Excel.
One major advantage of using Python in Excel is that it simplifies data manipulation tasks. For example, when working with messy customer lists, users can remove duplicates automatically by typing `df.drop_duplicates()` – no need for tedious manual editing or complicated formula chains.
Python also excels at handling missing data and text inconsistencies. Users can fill empty cells with median values, standardize variable formatting (e.g., “USA”, “U.S.A”, “United States”), or even convert inconsistent date formats to a standard format.
The pandas library, built-in with Python in Excel, provides additional functionality such as creating DataFrames for cleaning and summarizing data. Users can also leverage the `describe()` function to generate instant statistical summaries of their datasets.
With these powerful tools at their disposal, users can streamline their spreadsheet workflows and tackle even the most challenging data cleaning tasks with ease.
Source: https://www.makeuseof.com/dont-need-coder-use-python-excel-data-cleaning