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

Kursinnehåll

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

Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 3. Kapitel 5

Fråga AI

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Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal

course content

Kursinnehåll

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

Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 3. Kapitel 5
Vi beklagar att något gick fel. Vad hände?
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