The correct answer is: B. Calculate rolling statistics.
The rolling method in Pandas is used to calculate statistics over a moving window of data. This can be useful for identifying trends, seasonality, and other patterns in time series data.
For example, you could use the rolling mean method to calculate the average value of a time series over a window of 5 days. This would give you a sense of how the average value of the time series is changing over time.
You could also use the rolling standard deviation method to calculate the standard deviation of a time series over a window of 5 days. This would give you a sense of how much variation there is in the time series over time.
The rolling method can be used to calculate a variety of other statistics, such as the maximum, minimum, and sum. It can also be used to calculate more complex statistics, such as the moving average convergence divergence (MACD) and the relative strength index (RSI).
The rolling method is a powerful tool for analyzing time series data. It can be used to identify trends, seasonality, and other patterns. It can also be used to calculate a variety of statistics, such as the mean, standard deviation, and maximum.
Here are some additional details about each of the options:
- Option A: Sorting data. The rolling method does not sort data. It calculates statistics over a moving window of data.
- Option B: Calculate rolling statistics. This is the correct answer. The rolling method is used to calculate statistics over a moving window of data.
- Option C: Filtering data. The rolling method does not filter data. It calculates statistics over a moving window of data.
- Option D: Sorting data. The rolling method does not sort data. It calculates statistics over a moving window of data.