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Q3 Using the Spark DataFrame below, add a new column to each letter with value 1. In [0]: df = spark.createDataFrame([(i,) for i in data], schema='letters string') display(df)

Q3 Using the Spark DataFrame below, add a new column to each letter with value 1. In [0]: df = spark.createDataFrame([(i,) for i in data], schema='letters string') display(df)

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Q3

Using the Spark DataFrame below, add a new column to each letter with value 1.

In [0]:

df = spark.createDataFrame([(i,) for i in data], schema='letters string')

display(df)

In [0]:

Q4

Using the Spark DataFrame from Q3, find the count of each individual letters. 

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Import the data into a data frame from cancer_data.csv Download cancer_data.csv

Import the data into a data frame from cancer_data.csv Download cancer_data.csv and Check the characteristics of columns in the data.

 
 
 
 
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