bar(byHrBin.mean_Total)
cats = categories(byHrBin.HrLabel);
xticklabels(cats)
title('Mean Bicycle Count During Rush Hours')
In general, there is about twice as much traffic in this area during the evening and morning rush
hours compared to other times of the day. There is very little traffic in this area in the early morning,
but there is still significant traffic in the evening and late evening, comparable to the day outside of
the morning and evening rush hours.
See Also
timetable | table2timetable | head | summary | varfun | timerange | sortrows | rmmissing
| retime | datetime | unstack
Related Examples
•
“Represent Dates and Times in MATLAB” on page 7-2
•
“Create Timetables” on page 10-2
•
“Resample and Aggregate Data in Timetable” on page 10-5
•
“Clean Timetable with Missing, Duplicate, or Nonuniform Times” on page 10-27
•
“Select Times in Timetable” on page 10-19
Preprocess and Explore Time-stamped Data Using timetable
10-71
cats = categories(byHrBin.HrLabel);
xticklabels(cats)
title('Mean Bicycle Count During Rush Hours')
In general, there is about twice as much traffic in this area during the evening and morning rush
hours compared to other times of the day. There is very little traffic in this area in the early morning,
but there is still significant traffic in the evening and late evening, comparable to the day outside of
the morning and evening rush hours.
See Also
timetable | table2timetable | head | summary | varfun | timerange | sortrows | rmmissing
| retime | datetime | unstack
Related Examples
•
“Represent Dates and Times in MATLAB” on page 7-2
•
“Create Timetables” on page 10-2
•
“Resample and Aggregate Data in Timetable” on page 10-5
•
“Clean Timetable with Missing, Duplicate, or Nonuniform Times” on page 10-27
•
“Select Times in Timetable” on page 10-19
Preprocess and Explore Time-stamped Data Using timetable
10-71
