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

Зміст курсу

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

Натисніть або перетягніть елементи та заповніть пропуски

Все було зрозуміло?

Як ми можемо покращити це?

Дякуємо за ваш відгук!

Секція 3. Розділ 5

Запитати АІ

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Запитайте про що завгодно або спробуйте одне із запропонованих запитань, щоб почати наш чат

course content

Зміст курсу

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

Натисніть або перетягніть елементи та заповніть пропуски

Все було зрозуміло?

Як ми можемо покращити це?

Дякуємо за ваш відгук!

Секція 3. Розділ 5
Ми дуже хвилюємося, що щось пішло не так. Що трапилося?
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