Introducing the Data Inspector

Introducing the Data Inspector

Be honest: how long do you spend combing for missing values, scrubbing erroneous outliers, and coercing columns into a uniform format just to get to the analysis you want to do? There’s no question data quality and consistency are crucial, but manually verifying this...
Introducing Data Projects

Introducing Data Projects

When we launched data.world, we knew that the most significant problem in our crosshairs was how to make the first mile of data work more manageable: finding, exploring, and contextualizing data, all while making it effortless to slice, dice, and join using the power...
Civic Data Wrangling: in R and on data.world

Civic Data Wrangling: in R and on data.world

Originally posted on RViews One of the most valuable things I have learned working on Data for Democracy’s Medicare drug spending project has been the value of collaborative tools. It has been my first in-depth experience using Github collaboratively, for one, but it...
Advanced SQL

Advanced SQL

The response to the introduction of SQL at data.world has been really amazing. In a short time, SQL has become one of the primary ways that users interact with data, whether through the query UI, or through our API integrations (Python, R, Java). In response, we...