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Lære Recall Loops | Explore Dataset
Introduction to Python for Data Analysis
course content

Kursinnhold

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
Recall Loops

Imagine that you want to count how many 'Data Scientist' jobs are in the dataset. You are already familiar with the loops and if/else statements. Try it.

Oppgave

Swipe to start coding

Follow the algorithm:

  1. Create a for loop that iterates through the 'job_title' column in the df.
  2. Within the for loop, implement the if statement that checks if i is equal to 'Data Scientist'.
  3. Within the if statement, increase the count variable by 1.

Løsning

In this chapter, you count values in a straightforward but irrational way. Imagine that you have thousands of rows in the dataset; such a loop may take even an hour to process, depending on the dataset's size and the computer's power. Thus, in the next section, you will learn how to do the same thing but in a way that pandas offer you.

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 3. Kapittel 12
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book
Recall Loops

Imagine that you want to count how many 'Data Scientist' jobs are in the dataset. You are already familiar with the loops and if/else statements. Try it.

Oppgave

Swipe to start coding

Follow the algorithm:

  1. Create a for loop that iterates through the 'job_title' column in the df.
  2. Within the for loop, implement the if statement that checks if i is equal to 'Data Scientist'.
  3. Within the if statement, increase the count variable by 1.

Løsning

In this chapter, you count values in a straightforward but irrational way. Imagine that you have thousands of rows in the dataset; such a loop may take even an hour to process, depending on the dataset's size and the computer's power. Thus, in the next section, you will learn how to do the same thing but in a way that pandas offer you.

Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 3. Kapittel 12
Switch to desktopBytt til skrivebordet for virkelighetspraksisFortsett der du er med et av alternativene nedenfor
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