Now, let's use Streamlit's
   st.bar_chart() method to draw this
   histogram.
python
   st.bar_chart(hist_values)
Save your script. This histogram should show up in your app right away.
   After a quick review, it looks like the busiest time is 17:00 (5 P.M.).
To draw this diagram we used Streamlit's native bar_chart() method, but it's
important to know that Streamlit supports more complex charting libraries like
Altair, Bokeh, Plotly, Matplotlib and more. For a full list, see
supported charting libraries.
Plot data on a map
Using a histogram with Uber's dataset helped us determine what the busiest
times are for pickups, but what if we wanted to figure out where pickups were
concentrated throughout the city. While you could use a bar chart to show this
data, it wouldn't be easy to interpret unless you were intimately familiar with
