Contenu du cours
Time Series Analysis
Time Series Analysis
1. Time Series: Let's Start
2. Time Series Processing
3. Time Series Visualization
Challenge 2
Tâche
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.
Solution
Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessousTout était clair ?
Merci pour vos commentaires !
Section 5. Chapitre 4
Challenge 2
Tâche
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.
Solution
Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessousTout était clair ?
Merci pour vos commentaires !
Section 5. Chapitre 4
Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous