Hi! This is my first post, so please forgive any lack of clarity.
I have a dataset with measurements (observations) from traffic sensors around a city over one year.
Measurements are taken hourly by sensors that are in one of three possible neighbourhoods (variable name nb and it can assume value of either 0, 1 or 2).
Each measurement has multiple variables including density (cars\lane-km) and speed (average speed). Moreover, each measurement has multiple variables for time in different granularities, like date_and_time, day_of_the_year, month_of_the_year, etc.
I am asked to plot a graph for density and speed "using different color and shape to denote the observations across these three groups."
I tried with twoway connected but it the graph was just full of dots everywhere, plus it wouldn't be correct anyway because I had no idea on how to differentiate by neighbourhood.
Anny ideas?
Thank you so much in advance.
I have a dataset with measurements (observations) from traffic sensors around a city over one year.
Measurements are taken hourly by sensors that are in one of three possible neighbourhoods (variable name nb and it can assume value of either 0, 1 or 2).
Each measurement has multiple variables including density (cars\lane-km) and speed (average speed). Moreover, each measurement has multiple variables for time in different granularities, like date_and_time, day_of_the_year, month_of_the_year, etc.
I am asked to plot a graph for density and speed "using different color and shape to denote the observations across these three groups."
I tried with twoway connected but it the graph was just full of dots everywhere, plus it wouldn't be correct anyway because I had no idea on how to differentiate by neighbourhood.
Anny ideas?
Thank you so much in advance.
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