Histogram can be one of the most effective tools in performing root-cause analysis of the dataset

Tobias Christensen
Tobias is a Cloud Engineer at LitePoint Corporation. He works with building data
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4月 05 カテゴリ: LitePoint 0 件のコメント

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

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COM_EASYBLOG_GUEST 土曜日, 18 5月 2013

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