What are Crime and Arrest trends over Time (eg: by month, day of week, year)? I am trying to make create a chart that shows the trend over time by month day of week and year. This is where i am at so far. I see the problem being that my Y value has to be a variable and i do not want it to be a variable. I want it to just count from 0 and up. I want it to be a sum. Below is what i am trying to achieve but these are not the variables I use. i just found this picture off the SAS website but it also uses a variable in the Y axis which i don't want to use. I want it to be a sum total of the obseravations Essentially i am trying to create a line chart where my X axis is by year and my Y axis is by the total amount of observations of a specific variable (also known as sum). My data has almost 50000 observations and i am trying to show the amount of "arrests" by weekday and month over time. I might be using the wrong chart but i am very confused on why i have to use a variable on the y axis rather than just a sum total. The best way to put it is that i am trying to get the below table into a line plot. sadf Table of Year by ArrestYear ArrestArrested Not Arrested Total2001200220032004200520062007200820092010201120122013201420152016Total 11 0.02 16.92 0.08 54 0.11 83.08 0.16 65 0.14 5 0.01 62.50 0.04 3 0.01 37.50 0.01 8 0.02 5 0.01 71.43 0.04 2 0.00 28.57 0.01 7 0.01 4 0.01 57.14 0.03 3 0.01 42.86 0.01 7 0.01 4 0.01 66.67 0.03 2 0.00 33.33 0.01 6 0.01 2 0.00 50.00 0.01 2 0.00 50.00 0.01 4 0.01 5 0.01 50.00 0.04 5 0.01 50.00 0.01 10 0.02 2021 4.21 27.16 14.76 5420 11.28 72.84 15.78 7441 15.49 2013 4.19 29.56 14.70 4796 9.98 70.44 13.97 6809 14.17 1846 3.84 28.45 13.48 4642 9.66 71.55 13.52 6488 13.51 1769 3.68 28.54 12.92 4430 9.22 71.46 12.90 6199 12.90 1675 3.49 28.23 12.23 4258 8.86 71.77 12.40 5933 12.35 1576 3.28 29.42 11.51 3781 7.87 70.58 11.01 5357 11.15 1431 2.98 30.10 10.45 3323 6.92 69.90 9.68 4754 9.90 1226 2.55 27.49 8.95 3233 6.73 72.51 9.41 4459 9.28 104 0.22 21.27 0.76 385 0.80 78.73 1.12 489 1.02 13697 28.51 34339 71.49 48036 100.00
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