Summarizing a DataFrame in PySpark | min, max, count, percentile, schema
In this video, I will show you how to summarize a Spark dataframe. You can directly extract basic statistics on large datasets instead of converting the dataframe into pandas and then exploring.
Link to the playlist "Getting started with PySpark" : • Getting started with PySpark
Link to "Setting up the PySpark environment on Google Colab" video: • Setting up the PySpark environment on Goog...
Link to the GitHub repo: https://github.com/Abhishekmamidi123/...
Check out my "Data Science guide for freshers and enthusiasts" playlist: • My path to becoming a Data Scientist | Abh...
I have put my 3 years of learning experience into this playlist.
Contents of this video:
00:00 - Setting up the PySpark environment
00:50 - Initialize Spark Session object
00:58 - Read data from UCI
01:22 - Summarize DataFrame using PySpark
02:07 - Shape of PySpark DataFrame
02:57 - Print schema of PySpark DataFrame
03:37 - Describe a Dataframe in PySpark
05:14 - Percentile in PySpark
07:39 - Summary and Subscribe :)
Please do like, share and subscribe to this channel and share this video with your friends. Keep learning :)
Follow me here:
LinkedIn: / abhishekmamidi
Blog: https://www.abhishekmamidi.com/
GitHub: http://github.com/Abhishekmamidi123
Kaggle: http://www.kaggle.com/abhishekmamidi
Tags:
abhishek mamidi, data science, machine learning, deep learning, artificial intelligence, internship, career, college, job, experience, krish naik, ai engineering, fresher, data science enthusiasts, pyspark, apache spark, python, pysparkling