make a interactive bar chart using plotly and shiny have color and a back button

library(shiny)
library(plotly)
library(dplyr)

dput(head(sales,100))
structure(list(Region = c("Sub-Saharan Africa", "Europe", "Middle East and North Africa", "Sub-Saharan Africa", "Europe", "Sub-Saharan Africa", "Asia", "Asia", "Sub-Saharan Africa", "Central America and the Caribbean", "Sub-Saharan Africa", "Europe", "Europe", "Asia", "Middle East and North Africa", "Australia and Oceania", "Central America and the Caribbean", "Europe", "Middle East and North Africa", "Europe", "Sub-Saharan Africa", "Europe", "Europe", "Asia", "Europe", "Europe", "Europe", "Europe", "Australia and Oceania", "Central America and the Caribbean", "Europe", "Europe", "Central America and the Caribbean", "Europe", "Central America and the Caribbean", "Middle East and North Africa", "Asia", "Europe", "Sub-Saharan Africa", "Central America and the Caribbean", "Europe", "Asia", "Middle East and North Africa", "Europe", "Middle East and North Africa", "Europe", "Europe", "Central America and the Caribbean", "Australia and Oceania", "Middle East and North Africa", "Europe", "Australia and Oceania", "Sub-Saharan Africa", "Sub-Saharan Africa", "Asia", "Sub-Saharan Africa", "Europe", "Europe", "Central America and the Caribbean", "Europe", "Middle East and North Africa", "Central America and the Caribbean", "Europe", "Europe", "Europe", "Sub-Saharan Africa", "Sub-Saharan Africa", "Sub-Saharan Africa", "Europe", "Europe", "Europe", "Europe", "Sub-Saharan Africa", "Sub-Saharan Africa", "Europe", "Central America and the Caribbean", "Sub-Saharan Africa", "Middle East and North Africa", "Europe", "Central America and the Caribbean", "Asia", "Middle East and North Africa", "North America", "Sub-Saharan Africa", "Sub-Saharan Africa", "Europe", "Europe", "Sub-Saharan Africa", "Europe", "Sub-Saharan Africa", "Central America and the Caribbean", "Sub-Saharan Africa", "Middle East and North Africa", "Australia and Oceania", "Middle East and North Africa", "Europe", "Sub-Saharan Africa", "Europe", "Sub-Saharan Africa", "Sub-Saharan Africa"
), Country = c("Chad", "Latvia", "Pakistan", "Democratic Republic of the Congo", "Czech Republic", "South Africa", "Laos", "China", "Eritrea", "Haiti", "Zambia", "Bosnia and Herzegovina", "Germany", "India", "Algeria", "Palau", "Cuba", "Vatican City", "Lebanon", "Lithuania", "Mauritius", "Ukraine", "Russia", "Japan", "Russia", "Liechtenstein", "Greece", "Albania", "Federated States of Micronesia", "Dominica", "Andorra", "Switzerland", "Trinidad and Tobago", "San Marino", "Nicaragua", "Azerbaijan", "Bangladesh", "Serbia", "Mauritius", "Jamaica", "Italy", "Bhutan", "Turkey", "Bulgaria", "Pakistan", "Poland", "France", "Jamaica", "Australia", "Somalia", "Slovenia", "Samoa", "South Africa", "Ghana", "Sri Lanka", "Guinea", "Spain", "Moldova", "Dominican Republic", "Luxembourg", "Kuwait", "Saint Lucia", "Georgia", "Bosnia and Herzegovina", "Iceland", "Mauritius", "Malawi", "Seychelles", "Montenegro", "Germany", "Estonia", "Serbia", "Madagascar", "Benin", "Hungary", "Cuba", "Senegal", "Algeria", "Bosnia and Herzegovina", "Antigua and Barbuda", "Cambodia", "Oman", "United States of America", "Mauritania", "Central African Republic", "Albania", "Switzerland", "Ghana", "Austria", "Democratic Republic of the Congo", "Dominican Republic", "Mauritius", "Libya", "Samoa", "Kuwait", "Hungary", "Senegal", "Moldova", "Eritrea", "Niger"), Item_Type = c("Office Supplies", "Beverages", "Vegetables", "Household", "Beverages", "Beverages", "Vegetables", "Baby Food", "Meat", "Office Supplies", "Cereal", "Baby Food", "Office Supplies", "Household", "Clothes", "Snacks", "Beverages", "Beverages", "Personal Care", "Snacks", "Cosmetics", "Office Supplies", "Snacks", "Cosmetics", "Meat", "Vegetables", "Clothes", "Baby Food", "Baby Food", "Beverages", "Office Supplies", "Personal Care", "Baby Food", "Vegetables", "Fruits", "Cosmetics", "Personal Care", "Beverages", "Fruits", "Baby Food", "Cereal", "Clothes", "Clothes", "Cosmetics", "Household", "Cereal", "Baby Food", "Baby Food", "Personal Care", "Fruits", "Cosmetics", "Clothes", "Cereal", "Vegetables", "Office Supplies", "Meat", "Fruits", "Personal Care", "Cereal", "Personal Care", "Office Supplies", "Fruits", "Vegetables", "Cosmetics", "Snacks", "Personal Care", "Office Supplies", "Meat", "Personal Care", "Household", "Meat", "Clothes", "Baby Food", "Beverages", "Clothes", "Cosmetics", "Fruits", "Vegetables", "Personal Care", "Baby Food", "Personal Care", "Vegetables", "Baby Food", "Office Supplies", "Cosmetics", "Baby Food", "Vegetables", "Household", "Vegetables", "Household", "Clothes", "Baby Food", "Cosmetics", "Office Supplies", "Personal Care", "Meat", "Beverages", "Personal Care", "Beverages", "Personal Care"
), Sales_Channel = c("Online", "Online", "Offline", "Online", "Online", "Offline", "Online", "Online", "Online", "Online", "Offline", "Offline", "Online", "Online", "Offline", "Offline", "Online", "Online", "Offline", "Offline", "Offline", "Online", "Offline", "Offline", "Offline", "Offline", "Online", "Offline", "Online", "Offline", "Online", "Online", "Offline", "Online", "Online", "Online", "Online", "Online", "Offline", "Offline", "Offline", "Offline", "Online", "Offline", "Offline", "Offline", "Offline", "Offline", "Online", "Offline", "Online", "Offline", "Online", "Online", "Offline", "Online", "Offline", "Online", "Online", "Online", "Offline", "Online", "Offline", "Offline", "Online", "Online", "Online", "Online", "Online", "Online", "Offline", "Online", "Offline", "Offline", "Online", "Online", "Offline", "Online", "Online", "Online", "Online", "Online", "Offline", "Offline", "Offline", "Online", "Online", "Online", "Online", "Offline", "Online", "Offline", "Offline", "Online", "Online", "Online", "Offline", "Offline", "Offline", "Online"), Order_Priority = c("L", "C", "C", "C", "C", "H", "L", "C", "L", "C", "M", "M", "C", "C", "C", "L", "H", "L", "H", "H", "H", "C", "L", "H", "L", "L", "C", "C", "M", "H", "M", "M", "L", "H", "L", "M", "L", "H", "H", "H", "H", "L", "L", "L", "M", "C", "M", "C", "H", "C", "M", "C", "M", "L", "M", "C", "L", "M", "L", "L", "L", "C", "H", "H", "H", "M", "C", "C", "L", "L", "H", "M", "C", "H", "M", "L", "H", "M", "M", "H", "H", "C", "L", "L", "H", "H", "M", "M", "H", "L", "L", "H", "C", "M", "H", "C", "C", "H", "M", "C"), Order_Date = c("1/27/2011", "12/28/2015", "1/13/2011", "9/11/2012", "10/27/2015", "7/10/2012", "2/20/2011", "4/10/2017", "11/21/2014", "7/4/2015", "7/26/2016", "10/20/2012", "2/22/2015", "8/27/2016", "6/21/2011", "9/19/2013", "11/15/2015", "4/6/2015", "4/12/2010", "9/26/2011", "5/14/2016", "8/14/2010", "4/13/2012", "9/19/2013", "12/2/2015", "2/26/2017", "10/9/2016", "5/20/2011", "10/24/2013", "6/14/2011", "6/20/2015", "8/5/2011", "11/30/2016", "7/5/2015", "3/25/2015", "8/22/2013", "12/11/2016", "6/23/2013", "5/8/2015", "10/24/2016", "3/10/2013", "3/18/2012", "2/11/2015", "10/30/2012", "7/6/2012", "1/4/2011", "10/25/2013", "2/16/2016", "3/16/2014", "9/24/2016", "9/30/2010", "11/5/2010", "7/21/2017", "7/10/2013", "10/6/2012", "6/4/2011", "4/12/2014", "10/26/2015", "8/4/2011", "2/24/2017", "3/30/2011", "5/2/2015", "2/1/2014", "3/3/2012", "4/22/2015", "5/12/2011", "12/21/2011", "12/2/2010", "8/14/2010", "10/5/2010", "2/8/2012", "9/8/2012", "8/11/2011", "10/28/2012", "10/11/2013", "10/6/2016", "7/28/2017", "11/4/2016", "4/12/2016", "11/13/2014", "8/26/2012", "7/15/2014", "5/2/2011", "11/11/2013", "4/14/2011", "10/4/2012", "5/14/2013", "1/12/2013", "10/3/2012", "10/23/2010", "2/6/2014", "9/4/2011", "5/12/2016", "7/19/2015", "10/28/2012", "8/25/2016", "10/25/2013", "2/11/2011", "5/27/2016", "2/6/2012"), Order_ID = c(292494523, 
361825549, 141515767, 500364005, 127481591, 482292354, 844532620, 
564251220, 411809480, 327881228, 773452794, 479823005, 498603188, 
151717174, 181401288, 500204360, 640987718, 206925189, 221503102, 
878520286, 192088067, 746630275, 246883237, 967895781, 305029237, 
223957431, 510666692, 121455848, 332936227, 692031657, 365978467, 
392325484, 528934037, 603977954, 965943562, 233629691, 246147668, 
212921321, 763686978, 798493468, 637702119, 671986758, 912333714, 
540041816, 156722390, 434299266, 765008771, 611399734, 856333482, 
652983844, 574837148, 365692222, 289660394, 681165492, 594943845, 
956044280, 509828126, 771969211, 178453862, 835580909, 869961678, 
278519999, 478492200, 257427108, 723186051, 353942859, 848183858, 
374707877, 322626245, 351362788, 640653836, 540548217, 821407258, 
523904788, 109027135, 108073127, 672654092, 224693858, 406428754, 
230407607, 129491746, 606854999, 885983693, 260676658, 345045220, 
123513209, 900816953, 452005279, 672439515, 827793490, 704053533, 
157518470, 464799630, 272820842, 548818433, 530341231, 875250566, 
511720263, 688236653, 923598563), Ship_Date = c("2/12/2011", "1/23/2016", "2/1/2011", "10/6/2012", "12/5/2015", "8/21/2012", "3/20/2011", "5/12/2017", "1/10/2015", "7/20/2015", "8/24/2016", "11/15/2012", "2/27/2015", "9/2/2016", "7/21/2011", "10/4/2013", "11/30/2015", "4/27/2015", "5/19/2010", "10/2/2011", "6/18/2016", "8/31/2010", "4/22/2012", "9/28/2013", "12/26/2015", "2/28/2017", "10/13/2016", "6/19/2011", "12/3/2013", "7/20/2011", "7/21/2015", "9/1/2011", "1/9/2017", "7/29/2015", "5/9/2015", "8/30/2013", "1/13/2017", "7/18/2013", "5/13/2015", "11/24/2016", "4/4/2013", "5/4/2012", "3/2/2015", "11/3/2012", "8/1/2012", "2/21/2011", "12/10/2013", "3/22/2016", "4/27/2014", "10/29/2016", "11/11/2010", "12/5/2010", "8/22/2017", "7/26/2013", "10/21/2012", "7/24/2011", "4/15/2014", "12/15/2015", "8/27/2011", "4/14/2017", "4/12/2011", "6/14/2015", "2/26/2014", "4/10/2012", "5/13/2015", "5/15/2011", "1/18/2012", "12/25/2010", "9/16/2010", "11/14/2010", "3/18/2012", "9/20/2012", "8/19/2011", "11/7/2012", "10/27/2013", "10/20/2016", "7/31/2017", "11/25/2016", "5/1/2016", "12/20/2014", "9/22/2012", "8/15/2014", "5/4/2011", "12/17/2013", "5/20/2011", "11/21/2012", "6/10/2013", "2/2/2013", "11/12/2012", "11/20/2010", "3/28/2014", "9/4/2011", "6/26/2016", "8/20/2015", "11/24/2012", "9/25/2016", "11/3/2013", "2/26/2011", "6/13/2016", "2/26/2012"), Units_Sold = c(4484, 
1075, 6515, 7683, 3491, 9880, 4825, 3330, 2431, 6197, 724, 9145, 
6618, 5338, 9527, 441, 1365, 2617, 6545, 2530, 1983, 3345, 7091, 
725, 3784, 2835, 6477, 339, 2083, 6401, 16, 6684, 2191, 9353, 
3020, 5072, 9420, 7005, 803, 816, 9083, 4670, 8675, 9229, 6493, 
7659, 1950, 5623, 6962, 1285, 5941, 5310, 5802, 861, 5959, 3603, 
8327, 1699, 7318, 5814, 9848, 9112, 5330, 7257, 5678, 8412, 5307, 
3243, 1130, 4912, 2562, 9084, 1516, 3924, 2407, 95, 2148, 761, 
155, 1586, 8340, 735, 1118, 8871, 5403, 9158, 609, 7261, 8650, 
1344, 3941, 2070, 3394, 2605, 6425, 8611, 4947, 8252, 3375, 2194
), Unit_Price = c(651.21, 47.45, 154.06, 668.27, 47.45, 47.45, 
154.06, 255.28, 421.89, 651.21, 205.7, 255.28, 651.21, 668.27, 
109.28, 152.58, 47.45, 47.45, 81.73, 152.58, 437.2, 651.21, 152.58, 
437.2, 421.89, 154.06, 109.28, 255.28, 255.28, 47.45, 651.21, 
81.73, 255.28, 154.06, 9.33, 437.2, 81.73, 47.45, 9.33, 255.28, 
205.7, 109.28, 109.28, 437.2, 668.27, 205.7, 255.28, 255.28, 
81.73, 9.33, 437.2, 109.28, 205.7, 154.06, 651.21, 421.89, 9.33, 
81.73, 205.7, 81.73, 651.21, 9.33, 154.06, 437.2, 152.58, 81.73, 
651.21, 421.89, 81.73, 668.27, 421.89, 109.28, 255.28, 47.45, 
109.28, 437.2, 9.33, 154.06, 81.73, 255.28, 81.73, 154.06, 255.28, 
651.21, 437.2, 255.28, 154.06, 668.27, 154.06, 668.27, 109.28, 
255.28, 437.2, 651.21, 81.73, 421.89, 47.45, 81.73, 47.45, 81.73
), Total_Profit = c(566105, 16834.5, 411291.95, 1273303.59, 54669.06, 
154720.8, 304602.25, 319213.8, 139053.2, 782371.25, 64139.16, 
876639.7, 835522.5, 884666.74, 699662.88, 24316.74, 21375.9, 
40982.22, 164017.7, 139504.2, 344784.21, 422306.25, 390997.74, 
126055.75, 216444.8, 178973.55, 475670.88, 32496.54, 199676.38, 
100239.66, 2020, 167501.04, 210029.26, 590454.89, 7278.2, 881868.64, 
236065.2, 109698.3, 1935.23, 78221.76, 804662.97, 342964.8, 637092, 
1604646.23, 1076084.89, 678510.81, 186927, 539020.78, 174467.72, 
3096.85, 1032961.67, 389966.4, 513999.18, 54354.93, 752323.75, 
206091.6, 20068.07, 42576.94, 648301.62, 145698.84, 1243310, 
21959.92, 336482.9, 1261774.59, 313084.92, 210804.72, 670008.75, 
185499.6, 28317.8, 814065.76, 146546.4, 667128.96, 145323.76, 
61449.84, 176770.08, 16517.65, 5176.68, 48041.93, 3884.3, 152033.96, 
209000.4, 46400.55, 107171.48, 1119963.75, 939419.61, 877885.88, 
38446.17, 1203365.53, 546074.5, 222741.12, 289427.04, 198430.2, 
590114.78, 328881.25, 161010.5, 492549.2, 77470.02, 206795.12, 
52852.5, 54981.64), Month_RecentYear = c(NA, NA, NA, NA, NA, 
NA, NA, "April", NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, "February", NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, "July", NA, NA, NA, NA, NA, NA, "February", NA, NA, 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "July", 
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
NA, NA, NA, NA, NA, NA, NA)), class = c("tbl_df", "tbl", "data.frame"
), row.names = c(NA, -100L))


ui <- fluidPage(
    plotlyOutput("Region", height = 200),
    plotlyOutput("Item_Type", height = 200),
    dataTableOutput("datatable")
)



axis_titles <- . %>%
    layout(
        xaxis = list(title = ""),
        yaxis = list(title = "Total Profit")
    )


server <- function(input, output, session) {
    Region <- reactiveVal()
    Item_Type <- reactiveVal()
    observeEvent(event_data("plotly_click", source = "Region"), {
        Region(event_data("plotly_click", source = "Region")$x)
        Item_Type(NULL)
    })
    observeEvent(event_data("plotly_click", source = "Item_Type"), {
        Item_Type(event_data("plotly_click", source = "Item_Type")$x)
    })
    output$Region <- renderPlotly({
        sales %>%
            count(Region, wt = Total_Profit) %>%
            plot_ly(x = ~Region, y = ~n, source = "Region") %>%
            axis_titles() %>%
            layout(title = "Total Profit by Region")
    })
    output$Item_Type <- renderPlotly({
        if (is.null(Region())) return(NULL)
        sales %>%
            filter(Region %in% Region()) %>%
            count(Item_Type, wt = Total_Profit) %>%
            plot_ly(x = ~Item_Type, y = ~n, source = "Item_Type") %>%
            axis_titles() %>%
            layout(title = Region())
    })
}

shinyApp(ui, server)