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Summarizing a DataFrame in PySpark | min, max, count, percentile, schema
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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.
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:
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
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:
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
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