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Introduction to pandas [track]
course content

Course Content

Introduction to pandas [track]

Introduction to pandas [track]

1. Basics
What is pandas?SeriesIndexes and ValuesChallengeDataFramesIndexes and ColumnsChallenge
2. Reading and Exploring Data
Reading CSV FilesReading XLS/XLSX FilesExploring Data [1/3]ChallengeExploring Data [2/3]Exploring Data [3/3]Challenge
3. Accessing DataFrame Values
Accessing Specific ColumnsChallengeAccessing Specific RowsChallengeAccessing Rows and ColumnsAccessing using .loc[] [1/3]Accessing using .loc[] [2/3]Accessing using .loc[] [3/3]
4. Aggregate Functions
Number of ObservationsUnique ObservationsCounting ValuesChallengeSum and ProductMean and MedianChallengeMinimum and Maximum

Challenge

Task

The cars data are loaded in the df variable. Your tasks are:

  1. Output the dimensionality (number of rows and columns) of the df dataframe.
  2. Output general information on the dataframe (memory usage, columns, number of non-null values).
  3. Output the descriptive statistics (mean, median, quartiles) of numberical columns of the df.

Task

The cars data are loaded in the df variable. Your tasks are:

  1. Output the dimensionality (number of rows and columns) of the df dataframe.
  2. Output general information on the dataframe (memory usage, columns, number of non-null values).
  3. Output the descriptive statistics (mean, median, quartiles) of numberical columns of the df.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 7
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Challenge

Task

The cars data are loaded in the df variable. Your tasks are:

  1. Output the dimensionality (number of rows and columns) of the df dataframe.
  2. Output general information on the dataframe (memory usage, columns, number of non-null values).
  3. Output the descriptive statistics (mean, median, quartiles) of numberical columns of the df.

Task

The cars data are loaded in the df variable. Your tasks are:

  1. Output the dimensionality (number of rows and columns) of the df dataframe.
  2. Output general information on the dataframe (memory usage, columns, number of non-null values).
  3. Output the descriptive statistics (mean, median, quartiles) of numberical columns of the df.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 7
toggle bottom row

Challenge

Task

The cars data are loaded in the df variable. Your tasks are:

  1. Output the dimensionality (number of rows and columns) of the df dataframe.
  2. Output general information on the dataframe (memory usage, columns, number of non-null values).
  3. Output the descriptive statistics (mean, median, quartiles) of numberical columns of the df.

Task

The cars data are loaded in the df variable. Your tasks are:

  1. Output the dimensionality (number of rows and columns) of the df dataframe.
  2. Output general information on the dataframe (memory usage, columns, number of non-null values).
  3. Output the descriptive statistics (mean, median, quartiles) of numberical columns of the df.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Task

The cars data are loaded in the df variable. Your tasks are:

  1. Output the dimensionality (number of rows and columns) of the df dataframe.
  2. Output general information on the dataframe (memory usage, columns, number of non-null values).
  3. Output the descriptive statistics (mean, median, quartiles) of numberical columns of the df.

Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 7
Switch to desktop for real-world practiceContinue from where you are using one of the options below
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