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Lære Challenge 2 | Non-Stationary Models
Time Series Analysis

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Challenge 2

Oppgave

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You are faced with a task similar to the previous one: convert data to stationary. You will remove seasonality in the Seasonality Time Series.csv dataset using the difference method. Track a certain amount of time for which the time pattern repeats and use the difference method:

  1. Read the dataset.
  2. Analyze how long patterns repeat (visualize "Var" and "Date" columns of the df DataFrame in this order).
  3. Use the resulting number (it is 8) for the difference method. Perform the differentiation for the "Var" column. Save the obtained result within the df_diff variable.
  4. Visualize the transformed data.

Løsning

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Seksjon 5. Kapittel 4
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book
Challenge 2

Oppgave

Swipe to start coding

You are faced with a task similar to the previous one: convert data to stationary. You will remove seasonality in the Seasonality Time Series.csv dataset using the difference method. Track a certain amount of time for which the time pattern repeats and use the difference method:

  1. Read the dataset.
  2. Analyze how long patterns repeat (visualize "Var" and "Date" columns of the df DataFrame in this order).
  3. Use the resulting number (it is 8) for the difference method. Perform the differentiation for the "Var" column. Save the obtained result within the df_diff variable.
  4. Visualize the transformed data.

Løsning

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!

close

Awesome!

Completion rate improved to 3.85

Sveip for å vise menyen

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