Course Content

Time Series Analysis

## Time Series Analysis

1. Time Series: Let's Start

2. Time Series Processing

3. Time Series Visualization

# Challenge 2

Task

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 the`df`

DataFrame 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 the`df_diff`

variable. - Visualize the transformed data.

Everything was clear?

# Challenge 2

Task

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 the`df`

DataFrame 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 the`df_diff`

variable. - Visualize the transformed data.

Everything was clear?