Task 8
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Let's dive a little deeper into the data to answer a tricky question: am I progressing in terms of my running skills?
To answer this question, we'll decompose my weekly distance run and visually compare it to the raw data. A red trend line will represent the weekly distance run.
We are going to use statsmodels
library to decompose the weekly trend.
Import the statsmodels.api
under the alias sm
.
Subset df_run
from 2013 through 2018, select Distance (km)
column, resample weekly, and fill NaN values with the bfill()
method. Assign to df_run_dist_wkly
.
Create a plot with plt.figure()
, defining plot size by setting figsize
to (12,5)
.
seasonal_decompose()
using moving averages