Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Oppiskele Max, min, mean, median | Explore Dataset
Introduction to Python for Data Analysis
course content

Kurssisisältö

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

Oliko kaikki selvää?

Miten voimme parantaa sitä?

Kiitos palautteestasi!

Osio 3. Luku 5

Kysy tekoälyä

expand
ChatGPT

Kysy mitä tahansa tai kokeile jotakin ehdotetuista kysymyksistä aloittaaksesi keskustelumme

course content

Kurssisisältö

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

Oliko kaikki selvää?

Miten voimme parantaa sitä?

Kiitos palautteestasi!

Osio 3. Luku 5
Pahoittelemme, että jotain meni pieleen. Mitä tapahtui?
some-alt