   specifies the number of rows that you want to load into the dataframe.
Now let's test the function and review the output. Below your function, add
   these lines:
python
   # Create a text element and let the reader know the data is loading.
   data_load_state = st.text('Loading data...')
   # Load 10,000 rows of data into the dataframe.
   data = load_data(10000)
   # Notify the reader that the data was successfully loaded.
   data_load_state.text('Loading data...done!')
You'll see a few buttons in the upper-right corner of your app asking if
   you'd like to rerun the app. Choose Always rerun, and you'll see your
   changes automatically each time you save.
Ok, that's underwhelming...
It turns out that it takes a long time to download data, and load 10,000 lines
into a dataframe. Converting the date column into datetime isn’t a quick job
