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Investigating Netflix Movies and Guest Stars in The Office

EinsteigerSchwierigkeitsgrad
Aktualisierte 12.2023
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.
Projekt kostenlos starten

Im Lieferumfang enthaltenPremium or Teams

PythonData ManipulationData VisualizationProgramming45 Minuten10 Tasks1,500 XP122,196

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Projektbeschreibung

Investigating Netflix Movies and Guest Stars in The Office

In this project, you’ll apply the skills you learned in Introduction to Python and Intermediate Python to solve a real-world data science problem. You’ll press “watch next episode” to discover if Netflix’s movies are getting shorter over time and which guest stars appear in the most popular episode of "The Office", using everything from lists and loops to pandas and matplotlib.You’ll also gain experience in an essential data science skill — exploratory data analysis. This will allow you to perform critical tasks such as manipulating raw data and drawing conclusions from plots you create of the data. Press play to begin!

Investigating Netflix Movies and Guest Stars in The Office

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie and TV data.
Projekt kostenlos starten
  • 1

    Loading your friend's data into a dictionary

  • 2

    Creating a DataFrame from a dictionary

  • 3

    A visual inspection of our data

  • 4

    Loading the rest of the data from a CSV

  • 5

    Filtering for movies!

  • 6

    Creating a scatter plot

  • 7

    Digging deeper

  • 8

    Marking non-feature films

  • 9

    Plotting with color!

  • 10

    What next?

    Mach mit 17 Millionen Lernende und starte Investigating Netflix Movies and Guest Stars in The Office heute!

    Kostenloses Konto erstellen

    oder

    Durch Klick auf die Schaltfläche akzeptierst du unsere Nutzungsbedingungen, unsere Datenschutzrichtlinie und die Speicherung deiner Daten in den USA.