Challenge 2
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:
- Read the dataset.
- Analyze how long patterns repeat (visualize
"Var"and"Date"columns of thedfDataFrame in this order). - Use the resulting number (it is
8) for the difference method. Perform the differentiation for the"Var"column. Save the obtained result within thedf_diffvariable. - Visualize the transformed data.
Ratkaisu
Kiitos palautteestasi!
single
Kysy tekoälyä
Kysy tekoälyä
Kysy mitä tahansa tai kokeile jotakin ehdotetuista kysymyksistä aloittaaksesi keskustelumme
Mahtavaa!
Completion arvosana parantunut arvoon 3.85Challenge 2
Pyyhkäise näyttääksesi valikon
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:
- Read the dataset.
- Analyze how long patterns repeat (visualize
"Var"and"Date"columns of thedfDataFrame in this order). - Use the resulting number (it is
8) for the difference method. Perform the differentiation for the"Var"column. Save the obtained result within thedf_diffvariable. - Visualize the transformed data.
Ratkaisu
Vaihda työpöytään todellista harjoitusta vartenJatka siitä, missä olet käyttämällä jotakin alla olevista vaihtoehdoistaKiitos palautteestasi!
single
