Pandas Profiling for Data Science (Quick and Easy Exploratory Data Analysis)

In this video, I will be showing you how to use the pandas-profiling library in Python to easily and quickly perform Exploratory Data Analysis. In just a few lines of code you can get a glimpse of your data.

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[KenJee_ds]

This is cool! I've never used that package before

[DataProfessor]

As you may notice, Google Colab does not yet support pandas-profiling. The good news is that Kaggle Kernel (Notebook) supports pandas-profiling out of the box (no need to pip install, just import the library and your good to go).
I've just created a Kaggle Kernel, check it out here:
On the Kaggle Kernel, please give it a thumbs up so others can notice it too! Thanks for helping out! 😃

[AlessandroBottoni]

Amazing library and excellent video! Kudos! Data Professor is one of the best sources of information regarding data science, nowadays.

[grantchan]

Hi Chanin, thank you so much for this quick guide. I recently just started my first independent data science project, but I am really struggling with the EDA. Beyond the simple summary statistics, histograms, density plots, and correlation plots, what other analysis should I also do for a new data set? Is there an algorithmic approach that one should always follow to get a good grasp of the data set and its limitations?

[irfanahmad]

I watched for 3 mnts and then MAGIC. It's a great library. loved it.

[chrisosomo]

Thanks a lot Data Professor, I really enjoyed learning this approach to exploratory data analysis. You are awesome👍🏾👍🏾👍🏾👍🏾

[lindasolis]

will you make an updated video now that pandas profiling will deprecate?

[husseinfadin]

nice but I wish that they colored the scatter plot because i cant see which the x axis and the y axis .

[heythere]

I think you should increase font because i am using simultaneously, with sreen splitting. and I am facing problem.

[databauatconsultant]

Hi, Can we also profile the data null records, also profiling data based on business rules like if the state is = NJ Country must be USA

[atod]

I used this library just to see how it works. It gives great insights. But I've 1 doubt, how is data cleaning done? how is missing value imputation done? I am new to data science. Please help.

[amrmoursi]

Hi, first of all, I'd say thanks to you
when I started pip install I get this ERROR
ERROR: coursera-dl 0.11.5 has requirement attrs==18.1.0, but you'll have attrs 20.3.0 which is incompatible.
could you help me?

[angsumandas]

Ooooh my god.. what a great video It is. You are great. I loved it.
I expect a omics machine learning project!

[dianamgdata]

Hello! This tool is amazing! I am currently using it to process some data in my company. Just a question, my data has over 2M rows, could the tool be limiting the amount of data? I am getting some results that I’m not sure they’re right

[abhishektripathi]

Can you please tell me how to remove report generated by y-data persent at last

[linli]

Hi Data Professor, I also have a problem installing the pandas-profiling package. Here is the error message: "ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: ". Please advise. Thanks!

[anuragshrivastava]

increase notebook size for better visibility

[onlymusic]

Keep up the great work! you are being followed! Thanks...

[ekosetiawan_indo]

BrokenProcessPool: A task has failed to un-serialize. Please ensure that the arguments of the function are all picklable.

I get those error, do you know why? thanks in advance

[FredericBiondi]

Very good video and package. The HTML argument is used for what exact purpose?