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# Task 9

### Training intensity <a href="#id-9.-training-intensity" id="id-9.-training-intensity"></a>

Heart rate is a popular metric used to measure training intensity. Depending on age and fitness level, heart rates are grouped into different zones that people can target depending on training goals. A target heart rate during moderate-intensity activities is about 50-70% of maximum heart rate, while during vigorous physical activity it’s about 70-85% of maximum.

We'll create a distribution plot of my heart rate data by training intensity. It will be a visual presentation for the number of activities from predefined training zones.

## Create a customized histogram for heart rate distribution.

* Subset `df_run` from March 2015 through 2018 then select the `Average Heart Rate (bpm)` column. Assign the result to `df_run_hr_all`.
* Create a plot with `plt.subplots()`, setting `figsize` to `(8,5)`. Assign the result to `fig, ax`.
* Create customized x-axis ticks with `ax.set_xticklabels()`. Set the parameters `labels` to `zone_names`, `rotation` to `-30`, and `ha` to `'left'`.
* Show the plot with `plt.show()`.