Dear stata users,
I have been trying to make a spider graph, but I couldn't do it.
I have the yearly total (2017 - 2021) revenue per shipper size and i would like to draw a spider graph in order to evaluate each tendency.
Can anyone help me?
Thank you,
Max
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I have been trying to make a spider graph, but I couldn't do it.
I have the yearly total (2017 - 2021) revenue per shipper size and i would like to draw a spider graph in order to evaluate each tendency.
Can anyone help me?
Thank you,
Max
----------------------- copy starting from the next line -----------------------
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input int year double rev str12 s_size float ssize_rev_year 2019 11076.18 "LE" 1590204.5 2020 4100 "LE" 15134552 2019 166951.97 "LE" 1590204.5 2020 15023.14 "LE" 15134552 2020 19754.59 "LE" 15134552 2021 21794.89 "LE" 13314330 2019 47187.15 "LE" 1590204.5 2021 82640.1 "LE" 13314330 2021 571479.2 "LE" 13314330 2020 6538.36 "LE" 15134552 2020 34993.67 "LE" 15134552 2020 1367.4 "LE" 15134552 2020 712238.57 "LE" 15134552 2020 58811.73 "LE" 15134552 2020 79411.79 "LE" 15134552 2019 2448.16 "LE" 1590204.5 2019 11600 "LE" 1590204.5 2020 259505.55 "LE" 15134552 2021 31692.95 "LE" 13314330 2020 8842.3 "LE" 15134552 2020 377645.47 "LE" 15134552 2020 28424.58 "LE" 15134552 2021 1832.34 "LE" 13314330 2020 22221.42 "LE" 15134552 2021 62432.19 "LE" 13314330 2021 644983.41 "LE" 13314330 2020 3394.45 "LE" 15134552 2020 33309.05 "LE" 15134552 2020 10541.2 "LE" 15134552 2019 13819.45 "LE" 1590204.5 2020 2062.97 "LE" 15134552 2020 2411.67 "LE" 15134552 2021 202985.29 "LE" 13314330 2019 7895.6 "LE" 1590204.5 2019 31690.29 "LE" 1590204.5 2020 65502.51 "LE" 15134552 2021 47250.19 "LE" 13314330 2019 1401.8 "LE" 1590204.5 2020 60387.74 "LE" 15134552 2020 21682.48 "LE" 15134552 2021 55544.83 "LE" 13314330 2020 603732.829999998 "LE" 15134552 2020 11337.37 "LE" 15134552 2019 7082.35 "LE" 1590204.5 2020 44354.9 "LE" 15134552 2020 10005.67 "LE" 15134552 2020 1510.91 "LE" 15134552 2020 58219.3 "LE" 15134552 2019 55979.96 "LE" 1590204.5 2020 23363.75 "LE" 15134552 2020 2592 "LE" 15134552 2021 24314.46 "LE" 13314330 2020 350285.23 "LE" 15134552 2019 3400 "LE" 1590204.5 2019 1871.71 "LE" 1590204.5 2019 7995.54 "LE" 1590204.5 2019 13199.59 "LE" 1590204.5 2020 11606.49 "LE" 15134552 2020 19618.39 "LE" 15134552 2020 824.15 "LE" 15134552 2021 544026.62 "LE" 13314330 2019 3038.6 "LE" 1590204.5 2019 5893.2 "LE" 1590204.5 2020 16131.49 "LE" 15134552 2021 17323.35 "LE" 13314330 2019 108403.55 "LE" 1590204.5 2020 54330.69 "LE" 15134552 2019 2000 "LE" 1590204.5 2021 24363.48 "LE" 13314330 2019 380.6 "LE" 1590204.5 2021 10334.34 "LE" 13314330 2019 43815.42 "LE" 1590204.5 2020 2756.48 "LE" 15134552 2020 565886.929999999 "LE" 15134552 2020 42634.55 "LE" 15134552 2021 5037.8 "LE" 13314330 2018 1016.63 "LE" 192049.53 2021 46158.93 "LE" 13314330 2020 2724.54 "LE" 15134552 2021 41593.02 "LE" 13314330 2019 11928.95 "LE" 1590204.5 2020 15706.2 "LE" 15134552 2020 5020.32 "LE" 15134552 2020 8791.75 "LE" 15134552 2019 21336.6 "LE" 1590204.5 2021 15828.35 "LE" 13314330 2021 124477.9 "LE" 13314330 2020 325074.11 "LE" 15134552 2020 8528.61 "LE" 15134552 2021 38234.72 "LE" 13314330 2020 3026.64 "LE" 15134552 2020 15011.22 "LE" 15134552 2020 3827.12 "LE" 15134552 2020 11428 "LE" 15134552 2020 41574.66 "LE" 15134552 2021 16145.22 "LE" 13314330 2020 57043.03 "LE" 15134552 2020 5509.16 "LE" 15134552 2019 64330.22 "LE" 1590204.5 2021 895.14 "LE" 13314330 end
Listed 100 out of 3202 observations
Use the count() option to list more
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