Distribution of the Review Text Length
Explore how to calculate and analyze review text lengths using both pandas and PySpark libraries. Learn to handle missing values and convert datatypes to ensure accurate length calculations. Understand how to generate descriptive statistics with pandas and convert PySpark summary results into usable Python dictionaries. This lesson equips you with techniques to transform text data and extract meaningful statistical insights from it.
Calculate the statistics of the review text length in pandas
In pandas, applymap can be used to calculate the length of the review text column. When we calculate the length of text, both frameworks throw a runtime exception if there are NaN or None values in the column. Therefore, missing values must be filled with inputs before applying any function.
View statistics in pandas
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