Hey everyone,<\/p>\n
I\u2019ve been working on a small side project and wanted to share it here in case it\u2019s useful for others dealing with messy data.<\/p>\n
It\u2019s a no-code CSV pipeline tool, but the part I\u2019ve been focusing on recently is a \u201cdata health\u201d layer that tries to answer a simple question: how bad is this dataset before I start working on it?<\/em><\/p>\n For each dataset (and each column), it surfaces things like:<\/p>\n You can also drill into individual columns to see why something looks off, instead of manually scanning or writing quick checks.<\/p>\n The general idea behind the tool is:<\/p>\n I built it mostly because I kept repeating the same initial checks in pandas and wanted a faster way to get a feel for the data before doing anything serious.<\/p>\n Not trying to replace code-based workflows just more like speeding up the early \u201cwhat am I dealing with?\u201d phase.<\/p>\n Curious how others approach this part of analysis, and whether something like this would actually fit into your workflow or just feel unnecessary.<\/p>\n https:\/\/flowlytix.io<\/a><\/p>\n<\/div>\n submitted by \/u\/Woland96 <\/a> \n
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