A Practical Approach to Timeseries Forecasting Using Python
 - Data Manipulation in Python

A Practical Approach to Timeseries Forecasting Using Python - Data Manipulation in Python

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers various operations on a pandas DataFrame, including viewing the head and tail, obtaining information and descriptive statistics, exploring columns and shape, handling null values, dropping unnecessary columns, renaming columns using Python dictionaries, creating a new column with row sums, and introduces indexing and selection. These operations are essential for data manipulation and analysis in Python using pandas.

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10 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What command can be used to view the first five rows of a data set?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you check the information of a data set?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What does the command DF describe provide about the data set?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What information can be derived from the describe command regarding percentiles?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What command is used to check the shape of a data set?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of checking for null values in a data set?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What steps are involved in dropping unnecessary columns from a data set?

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