When trying to home in on issues in a dataset, a histogram can be one of the most effective tools in performing root-cause analysis of the dataset. However, creating an effective histogram in itself can prove to be a challenge because you need to take a lot of factors into consideration to make it useful. In this video I’ll present some of the major challenges we face in creating an effective histogram and how we solve them.タグ: binning, kernel density estimation, histogram, visualization, analysis, Dataset
Tobias Christensen のエントリを参照中
Tobias is a Cloud Engineer at LitePoint Corporation. He works with building data storage & analysis applications and making them available to both internal and external customers as web services. His experience includes developing large consumer web sites, mobile apps, web services, databases, & distributed computing. Tobias has a M.Sc. in Computer Science from the University of Aalborg, Denmark.
As Joseph Sfeir wrote in his last blog post, data management and analysis is a huge challenge that we also face at LitePoint.タグ: タグなし