Top 5 Data Exploration techniques - Demonstrated

Understand the top 5 data exploration techniques through examples and visualisation. No theoretical presentation, no low-level code.
1. Histogram - To find patterns in your numerical data
2. Pareto Analysis - To find 80-20 rule in your data
3. Correlation - To find any mutual relations which exists in your data
4. Outlier Analysis - To find any exceptional high or low values
5. Clustering - To make groups within your data
Channels website -
You can experience some of the techniques shown in the video, without any coding, on channels website
experiencedatascience.com

[@ai4humans922]

Exactly what I was looking for . A refreshing video to see usefulness of data science rather than coding details

[@DataScienceDemonstrated]

Thanks , nice you found what you were looking for

[@adibmahian]

Great content! This goes on to show how important visualization is to Data Science. I'm currently taking a course from UC Davis Tableau Specialization. There one of the professors also prove that visualizing or in your case, how you "demonstrated" can be much more powerful in understanding insights. Best of luck, and cheers. Looking forward to more contents from you!

[@kennethstephani692]

Great video!

[@jeanmarcel6131]

Cool, very realistic and concrete stuff. Keep them coming

[@DataScienceDemonstrated]

Thanks , merci Jean-Luc

[@leowarpride9133]

Keep on with great content for us beginners dude✊️

[@DataScienceDemonstrated]

Thanks a lot for such a great feedback!

[@adigarga]

Awesome video, good practical explanations ! :)

[@DataScienceDemonstrated]

Thanks Aditya

[@rupinderg00]

Awesome video. Can you please make a video on what can we do if we encounter such cases?

[@MrSugat11]

Great learning .. ...keep contributing

[@DataScienceDemonstrated]

Thanks a lot Sugat !

[@emilymyers9676]

Thanks. Very nicely explained

[@DataScienceDemonstrated]

Cool, thanks Katia