Correlation Matrix and Plot in Python - Exploratory Data Analysis - Hepatitis C Infection analysis

This video explains about Data analysis using Correlation Matrix and Correlation plot in Python - Exploratory Data Analysis - Hepatitis C Infection analysis with the biochemical parameters.

Correlation coefficient and relationship of variables using heatmap and correlation matrix and plots.

statistical analysis of different variables.

Related Videos:
---------------------------------------------------------------------------------------------------------------
Designing qPCR Primers
How to check Oligo Concentration

[zitrone]

Hi, thanks for the excellent tutorial!

I encountered an issue where my correlation matrix was filled with NaN values. If anyone else is facing a similar problem, here’s how I resolved it:

I used the Hepatitis C Prediction Dataset from 2020 on Kaggle.
In this dataset, the category for Hepatitis was labeled as "1=Hepatitis." I filtered the data using:
hep = data.loc[data.Category == "1=Hepatitis"]

Then, I manually dropped the columns with non-numeric values:
hep = hep.drop(columns=['Unnamed: 0', 'Category', 'Sex'])

Finally, I removed the rows with NaN values with:
hep = hep.dropna()

Hope this helps anyone who runs into the same issue!

[starmaker]

Thank you, sir, for the amazing tutorial

[pravinkamane]

can you share the data file, please? Amazing video

[TheMissantos]

Is it Pearson or Spearman correlation?

[narintehmezova]

If the datatype of Hep dataframe is object datatype then how corr function works with this dataframe?

[davinfad]

where can i got the data of yours? is it open source?