One of the data wrangling tasks I’m concerned about is how accurate the data is. Here is an open-sourced, desktop-based new app allowing data journalists, data analysts, dataviz designers to assess the quality of the data before working on analysis and visualization.
To read more on this app, click here.
A proofreader for your data. Every day, more and more data is created. Journalists, analysts, and data visualizers turn that data into stories and insights. But before you can make use of any data, you need to know if it’s reliable. Is it weird? Is it clean? Can I use it to write or make a viz? This used to be a long manual process, using valuable time and introducing the possibility for human error. People can’t always spot every mistake every time, no matter how hard they try. Data proofer is built to automate this process of checking a dataset for errors or potential mistakes.
