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day 6 | fill null values | pyspark scenario based interview questions and answers
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fill null values
pyspark scenario based interview questions and answers
Create DataFrame Code :
=====================
job_skills_data = [
(1, 'Data Engineer', 'SQL'),
(2, None, 'Python'),
(3, None, 'AWS'),
(4, None, 'Snowflake'),
(5, None, 'Apache Spark'),
(6, 'Web Developer', 'Java'),
(7, None, 'HTML'),
(8, None, 'CSS'),
(9, 'Data Scientist', 'Python'),
(10, None, 'Machine Learning'),
(11, None, 'Deep Learning'),
(12, None, 'Tableau')
]
job_skills_schema = "row_id int , job_role string , skills string"
#interview #spark #pyspark
pyspark scenario based interview questions and answers
Create DataFrame Code :
=====================
job_skills_data = [
(1, 'Data Engineer', 'SQL'),
(2, None, 'Python'),
(3, None, 'AWS'),
(4, None, 'Snowflake'),
(5, None, 'Apache Spark'),
(6, 'Web Developer', 'Java'),
(7, None, 'HTML'),
(8, None, 'CSS'),
(9, 'Data Scientist', 'Python'),
(10, None, 'Machine Learning'),
(11, None, 'Deep Learning'),
(12, None, 'Tableau')
]
job_skills_schema = "row_id int , job_role string , skills string"
#interview #spark #pyspark
day 6 | fill null values | pyspark scenario based interview questions and answers
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