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Impara Max, min, mean, median | Explore Dataset
Introduction to Python for Data Analysis
course content

Contenuti del Corso

Introduction to Python for Data Analysis

Introduction to Python for Data Analysis

1. Introduction to Python 1/2
2. Introduction to Python 2/2
3. Explore Dataset
4. Becoming an Analyst

book
Max, min, mean, median

carousel-imgcarousel-imgcarousel-imgcarousel-img

To find the max of the total df use:

python

To find the max of the column, use:

python

The same code is used to find the min, mean, and median.

Pay attention! If there are 2 elements in the middle of the array, the the median will be counted in the following way: (a+b)/2 where a and b are central elements.

question-icon

Fill in the missing gaps to get the output in the correct order. Imagine that you have a column 'price' in the df DataFrame and its values are [1, 2, 5, 6, 10, 12, 27]

import pandas as pd
df = pd.read_csv('file.csv')
print(df['price']
print(df['price']

print(df['price']

print(df['price']
1, 6, 27, 7

Click or drag`n`drop items and fill in the blanks

Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 3. Capitolo 5

Chieda ad AI

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course content

Contenuti del Corso

Introduction to Python for Data Analysis

Introduction to Python for Data Analysis

1. Introduction to Python 1/2
2. Introduction to Python 2/2
3. Explore Dataset
4. Becoming an Analyst

book
Max, min, mean, median

carousel-imgcarousel-imgcarousel-imgcarousel-img

To find the max of the total df use:

python

To find the max of the column, use:

python

The same code is used to find the min, mean, and median.

Pay attention! If there are 2 elements in the middle of the array, the the median will be counted in the following way: (a+b)/2 where a and b are central elements.

question-icon

Fill in the missing gaps to get the output in the correct order. Imagine that you have a column 'price' in the df DataFrame and its values are [1, 2, 5, 6, 10, 12, 27]

import pandas as pd
df = pd.read_csv('file.csv')
print(df['price']
print(df['price']

print(df['price']

print(df['price']
1, 6, 27, 7

Click or drag`n`drop items and fill in the blanks

Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 3. Capitolo 5
Siamo spiacenti che qualcosa sia andato storto. Cosa è successo?
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