Is Excel's Clean Data button the ultimate time-saver for messy spreadsheets? Find out how it works, its quirks, and how it compares to Power Query ...

Understanding, organizing, and validating data directly affects the accuracy of stories. New tools make cleaning accessible ...

In this section, we use the open data SFMTA Bikeway Network at San Francisco Data. The data include the network of bike routes, lanes, and paths around the city of San Francisco. Maintained by the ...

If you’ve ever found yourself staring at a messy spreadsheet of survey data, wondering how to make sense of it all, you’re not alone. From split headers to inconsistent blanks, the challenges of ...

Data cleansing is a process by which a computer program detects, records, and corrects inconsistencies and errors within a collection of data. Image: freshidea/Adobe Stock Data is at the foundation of ...

Unless you’re using a tool like Constellate or Scopus, most text analysis tools will require you to upload your own dataset to analyze. Before any analysis can take place, you’ll need to clean (i.e.

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

As a product manager, I have worked closely with data engineering teams and witnessed the fantastic ways to transform raw web data into insights, products, data models, and more. Data cleaning ...

The ultimate purpose for data is to drive decisions. But data isn’t as reliable or accurate as we want to believe. This leads to a most undesirable result: Bad data means bad decisions. As a data ...