We will show you the code snippet for checking the data condition. The topics will cover units of analysis, missing values, duplicated records, Is your data makes sense, and truth changing over time. The tutorial will be written in the pandas library. The most famous data manipulation library in python.
I point out the importance and data quality issues in the previous article.
The quicker you realize the problem with your data, the better you can deliver a valid conclusion to drive the business.
When you have limited time to do the analysis, I hope this tutorial helps you like a checklist for ensuring the data condition before presenting to the audience.
Today I will show you the code snippet
for checking the data condition. The topics will cover units of analysis, missing values, duplicated records, Is your data makes sense, and truth changing over time.
The tutorial will be written in the pandas
library. The most famous data manipulation library in python.
pandas
documents here. If you need further information about any snippets.In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
Data quality is top of mind for every data professional — and for good reason. Bad data costs companies valuable time, resources, and most of all, revenue.
In this tutorial, you will know about the TED TALKS DATA ANALYSIS project from scratch.
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Learn to group the data and summarize in several different ways, to use aggregate functions, data transformation, filter, map.