Creating a dual y-axis one on top of each other
I am trying to create in R a graph with Dual y-axis similar to the graph below. Is there such option? In ggplot2? Thank you for your help!
Data: structure(list(Month = structure(c(16071, 16102, 16130, 16161,
16191, 16222, 16252, 16283, 16314, 16344, 16375, 16405, 16436,
16467, 16495, 16526, 16556, 16587, 16617, 16648, 16679, 16709,
16740, 16770, 16801, 16832, 16861, 16892, 16922, 16953, 16983,
17014, 17045, 17075, 17106, 17136, 17167, 17198, 17226, 17257,
17287, 17318, 17348, 17379, 17410, 17440, 17471, 17501), class = "Date"),
Year = c(2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014,
2014, 2014, 2014, 2014, 2015, 2015, 2015, 2015, 2015, 2015,
2015, 2015, 2015, 2015, 2015, 2015, 2016, 2016, 2016, 2016,
2016, 2016, 2016, 2016, 2016, 2016, 2016, 2016, 2017, 2017,
2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017
), Sales = c(268377, 84235, 392020, 270706, 273254, 22255,
386118, 23253, 65497, 106306, 123331, 385079, 186158, 146892,
237677, 158845, 125116, 16009, 217467, 227434, 95821, 30820,
22241, 261339, 217884, 49189, 217724, 450000, 102882, 304524,
328485, 166489, 236167, 227174, 55794, 362478, 48639, 83485,
3320, 348728, 178646, 390000, 98342, 225186, 114795, 168494,
349530, 275178), moving_average_of_sales = c(227337, 226970,
232838.6, 249849.3, 251940.8, 221772.2, 240692.5, 216177.9,
214923.1, 189202.1, 174697.5, 204781.9, 184195.7, 171814.3,
168256.6, 181915.6, 155815.4, 155091, 170288, 182400.8, 179649.8,
144223.9, 127832.2, 139276.9, 137297.6, 126332, 135592.8,
178991.9, 167533.4, 175242.4, 198508.8, 212075.7, 233468.3,
230051.8, 213842.8, 245171.7, 228263.2, 191611.7, 181655.5,
186075.9, 171092, 193443.1, 179660.6, 179461.8, 185361.9,
165963.5, 196052.6, 215221.9)), row.names = c(NA, 48L), class = "data.frame")
r ggplot2 graph
add a comment |
I am trying to create in R a graph with Dual y-axis similar to the graph below. Is there such option? In ggplot2? Thank you for your help!
Data: structure(list(Month = structure(c(16071, 16102, 16130, 16161,
16191, 16222, 16252, 16283, 16314, 16344, 16375, 16405, 16436,
16467, 16495, 16526, 16556, 16587, 16617, 16648, 16679, 16709,
16740, 16770, 16801, 16832, 16861, 16892, 16922, 16953, 16983,
17014, 17045, 17075, 17106, 17136, 17167, 17198, 17226, 17257,
17287, 17318, 17348, 17379, 17410, 17440, 17471, 17501), class = "Date"),
Year = c(2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014,
2014, 2014, 2014, 2014, 2015, 2015, 2015, 2015, 2015, 2015,
2015, 2015, 2015, 2015, 2015, 2015, 2016, 2016, 2016, 2016,
2016, 2016, 2016, 2016, 2016, 2016, 2016, 2016, 2017, 2017,
2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017
), Sales = c(268377, 84235, 392020, 270706, 273254, 22255,
386118, 23253, 65497, 106306, 123331, 385079, 186158, 146892,
237677, 158845, 125116, 16009, 217467, 227434, 95821, 30820,
22241, 261339, 217884, 49189, 217724, 450000, 102882, 304524,
328485, 166489, 236167, 227174, 55794, 362478, 48639, 83485,
3320, 348728, 178646, 390000, 98342, 225186, 114795, 168494,
349530, 275178), moving_average_of_sales = c(227337, 226970,
232838.6, 249849.3, 251940.8, 221772.2, 240692.5, 216177.9,
214923.1, 189202.1, 174697.5, 204781.9, 184195.7, 171814.3,
168256.6, 181915.6, 155815.4, 155091, 170288, 182400.8, 179649.8,
144223.9, 127832.2, 139276.9, 137297.6, 126332, 135592.8,
178991.9, 167533.4, 175242.4, 198508.8, 212075.7, 233468.3,
230051.8, 213842.8, 245171.7, 228263.2, 191611.7, 181655.5,
186075.9, 171092, 193443.1, 179660.6, 179461.8, 185361.9,
165963.5, 196052.6, 215221.9)), row.names = c(NA, 48L), class = "data.frame")
r ggplot2 graph
1
looks like multiple plot panes. Seefacet_wrap
e.g. plot.ly/ggplot2/facet_wrap
– Jonny Phelps
Nov 23 '18 at 11:26
Your data is not time-series data. You will need to provide more information/context on what you are trying to achieve.
– hrbrmstr
Nov 23 '18 at 13:20
Sorry I copied the wrong data. I re-posted the one with time series and that should better reflect the graph.
– Eliel Epelbaum
Nov 23 '18 at 13:33
add a comment |
I am trying to create in R a graph with Dual y-axis similar to the graph below. Is there such option? In ggplot2? Thank you for your help!
Data: structure(list(Month = structure(c(16071, 16102, 16130, 16161,
16191, 16222, 16252, 16283, 16314, 16344, 16375, 16405, 16436,
16467, 16495, 16526, 16556, 16587, 16617, 16648, 16679, 16709,
16740, 16770, 16801, 16832, 16861, 16892, 16922, 16953, 16983,
17014, 17045, 17075, 17106, 17136, 17167, 17198, 17226, 17257,
17287, 17318, 17348, 17379, 17410, 17440, 17471, 17501), class = "Date"),
Year = c(2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014,
2014, 2014, 2014, 2014, 2015, 2015, 2015, 2015, 2015, 2015,
2015, 2015, 2015, 2015, 2015, 2015, 2016, 2016, 2016, 2016,
2016, 2016, 2016, 2016, 2016, 2016, 2016, 2016, 2017, 2017,
2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017
), Sales = c(268377, 84235, 392020, 270706, 273254, 22255,
386118, 23253, 65497, 106306, 123331, 385079, 186158, 146892,
237677, 158845, 125116, 16009, 217467, 227434, 95821, 30820,
22241, 261339, 217884, 49189, 217724, 450000, 102882, 304524,
328485, 166489, 236167, 227174, 55794, 362478, 48639, 83485,
3320, 348728, 178646, 390000, 98342, 225186, 114795, 168494,
349530, 275178), moving_average_of_sales = c(227337, 226970,
232838.6, 249849.3, 251940.8, 221772.2, 240692.5, 216177.9,
214923.1, 189202.1, 174697.5, 204781.9, 184195.7, 171814.3,
168256.6, 181915.6, 155815.4, 155091, 170288, 182400.8, 179649.8,
144223.9, 127832.2, 139276.9, 137297.6, 126332, 135592.8,
178991.9, 167533.4, 175242.4, 198508.8, 212075.7, 233468.3,
230051.8, 213842.8, 245171.7, 228263.2, 191611.7, 181655.5,
186075.9, 171092, 193443.1, 179660.6, 179461.8, 185361.9,
165963.5, 196052.6, 215221.9)), row.names = c(NA, 48L), class = "data.frame")
r ggplot2 graph
I am trying to create in R a graph with Dual y-axis similar to the graph below. Is there such option? In ggplot2? Thank you for your help!
Data: structure(list(Month = structure(c(16071, 16102, 16130, 16161,
16191, 16222, 16252, 16283, 16314, 16344, 16375, 16405, 16436,
16467, 16495, 16526, 16556, 16587, 16617, 16648, 16679, 16709,
16740, 16770, 16801, 16832, 16861, 16892, 16922, 16953, 16983,
17014, 17045, 17075, 17106, 17136, 17167, 17198, 17226, 17257,
17287, 17318, 17348, 17379, 17410, 17440, 17471, 17501), class = "Date"),
Year = c(2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014,
2014, 2014, 2014, 2014, 2015, 2015, 2015, 2015, 2015, 2015,
2015, 2015, 2015, 2015, 2015, 2015, 2016, 2016, 2016, 2016,
2016, 2016, 2016, 2016, 2016, 2016, 2016, 2016, 2017, 2017,
2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017
), Sales = c(268377, 84235, 392020, 270706, 273254, 22255,
386118, 23253, 65497, 106306, 123331, 385079, 186158, 146892,
237677, 158845, 125116, 16009, 217467, 227434, 95821, 30820,
22241, 261339, 217884, 49189, 217724, 450000, 102882, 304524,
328485, 166489, 236167, 227174, 55794, 362478, 48639, 83485,
3320, 348728, 178646, 390000, 98342, 225186, 114795, 168494,
349530, 275178), moving_average_of_sales = c(227337, 226970,
232838.6, 249849.3, 251940.8, 221772.2, 240692.5, 216177.9,
214923.1, 189202.1, 174697.5, 204781.9, 184195.7, 171814.3,
168256.6, 181915.6, 155815.4, 155091, 170288, 182400.8, 179649.8,
144223.9, 127832.2, 139276.9, 137297.6, 126332, 135592.8,
178991.9, 167533.4, 175242.4, 198508.8, 212075.7, 233468.3,
230051.8, 213842.8, 245171.7, 228263.2, 191611.7, 181655.5,
186075.9, 171092, 193443.1, 179660.6, 179461.8, 185361.9,
165963.5, 196052.6, 215221.9)), row.names = c(NA, 48L), class = "data.frame")
r ggplot2 graph
r ggplot2 graph
edited Nov 23 '18 at 13:32
asked Nov 23 '18 at 11:11
Eliel Epelbaum
135
135
1
looks like multiple plot panes. Seefacet_wrap
e.g. plot.ly/ggplot2/facet_wrap
– Jonny Phelps
Nov 23 '18 at 11:26
Your data is not time-series data. You will need to provide more information/context on what you are trying to achieve.
– hrbrmstr
Nov 23 '18 at 13:20
Sorry I copied the wrong data. I re-posted the one with time series and that should better reflect the graph.
– Eliel Epelbaum
Nov 23 '18 at 13:33
add a comment |
1
looks like multiple plot panes. Seefacet_wrap
e.g. plot.ly/ggplot2/facet_wrap
– Jonny Phelps
Nov 23 '18 at 11:26
Your data is not time-series data. You will need to provide more information/context on what you are trying to achieve.
– hrbrmstr
Nov 23 '18 at 13:20
Sorry I copied the wrong data. I re-posted the one with time series and that should better reflect the graph.
– Eliel Epelbaum
Nov 23 '18 at 13:33
1
1
looks like multiple plot panes. See
facet_wrap
e.g. plot.ly/ggplot2/facet_wrap– Jonny Phelps
Nov 23 '18 at 11:26
looks like multiple plot panes. See
facet_wrap
e.g. plot.ly/ggplot2/facet_wrap– Jonny Phelps
Nov 23 '18 at 11:26
Your data is not time-series data. You will need to provide more information/context on what you are trying to achieve.
– hrbrmstr
Nov 23 '18 at 13:20
Your data is not time-series data. You will need to provide more information/context on what you are trying to achieve.
– hrbrmstr
Nov 23 '18 at 13:20
Sorry I copied the wrong data. I re-posted the one with time series and that should better reflect the graph.
– Eliel Epelbaum
Nov 23 '18 at 13:33
Sorry I copied the wrong data. I re-posted the one with time series and that should better reflect the graph.
– Eliel Epelbaum
Nov 23 '18 at 13:33
add a comment |
1 Answer
1
active
oldest
votes
I usually use ggarrange from ggpubr. If you save the 2 plots as p1 and p2 then
ggpubr::ggarrange(p1, p2, nrow = 2, align = "v")
https://stackoverflow.com/a/48004459/9517359
1
Thank you! That works!
– Eliel Epelbaum
Nov 23 '18 at 21:13
add a comment |
Your Answer
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I usually use ggarrange from ggpubr. If you save the 2 plots as p1 and p2 then
ggpubr::ggarrange(p1, p2, nrow = 2, align = "v")
https://stackoverflow.com/a/48004459/9517359
1
Thank you! That works!
– Eliel Epelbaum
Nov 23 '18 at 21:13
add a comment |
I usually use ggarrange from ggpubr. If you save the 2 plots as p1 and p2 then
ggpubr::ggarrange(p1, p2, nrow = 2, align = "v")
https://stackoverflow.com/a/48004459/9517359
1
Thank you! That works!
– Eliel Epelbaum
Nov 23 '18 at 21:13
add a comment |
I usually use ggarrange from ggpubr. If you save the 2 plots as p1 and p2 then
ggpubr::ggarrange(p1, p2, nrow = 2, align = "v")
https://stackoverflow.com/a/48004459/9517359
I usually use ggarrange from ggpubr. If you save the 2 plots as p1 and p2 then
ggpubr::ggarrange(p1, p2, nrow = 2, align = "v")
https://stackoverflow.com/a/48004459/9517359
answered Nov 23 '18 at 17:07
TJ83
614
614
1
Thank you! That works!
– Eliel Epelbaum
Nov 23 '18 at 21:13
add a comment |
1
Thank you! That works!
– Eliel Epelbaum
Nov 23 '18 at 21:13
1
1
Thank you! That works!
– Eliel Epelbaum
Nov 23 '18 at 21:13
Thank you! That works!
– Eliel Epelbaum
Nov 23 '18 at 21:13
add a comment |
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1
looks like multiple plot panes. See
facet_wrap
e.g. plot.ly/ggplot2/facet_wrap– Jonny Phelps
Nov 23 '18 at 11:26
Your data is not time-series data. You will need to provide more information/context on what you are trying to achieve.
– hrbrmstr
Nov 23 '18 at 13:20
Sorry I copied the wrong data. I re-posted the one with time series and that should better reflect the graph.
– Eliel Epelbaum
Nov 23 '18 at 13:33