अपने लेआउट को कस्टमाइज़ करें

R में plotly के साथ इंटरएक्टिव डेटा विज़ुअलाइज़ेशन

Adam Loy

Statistician, Carleton College

layout()

axes: प्रकार, लेबल, टिक मार्क, ट्रांसफॉर्मेशन आदि
legend: स्थिति
canvas: ग्रिड लाइनें, बैकग्राउंड रंग
size: ऊँचाई, चौड़ाई, मार्जिन

एक्सिस लेबल

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.2))

एक्सिस लेबल

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.2)) %>%
  layout(xaxis = list(title = "Free SO2 (ppm)"),
         yaxis = list(title = "Total SO2 (ppm)"))

शीर्षक

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.2)) %>%
  layout(xaxis = list(title = "Free SO2 (ppm)"),
         yaxis = list(title = "Total SO2 (ppm)"),
         title = "Does free SO2 predict total SO2 in wine?")

एक्सिस ट्रांसफॉर्म करना

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.2)) %>%
  layout(xaxis = list(title = "Free SO2 (ppm, log scale)", type = "log"),
         yaxis = list(title = "Total SO2 (ppm, log scale)", type = "log"),
         title = "Does free SO2 predict total SO2 in wine?")

ग्रिड कस्टमाइज़ करना

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.5)) %>%
  layout(xaxis = list(title = "Free SO2 (ppm)", zeroline = FALSE),
         yaxis = list(title = "Total SO2 (ppm)", zeroline = FALSE, 
                      showgrid = FALSE))

कैनवास कस्टमाइज़ करना

winequality %>%
  plot_ly(x = ~free_so2, y = ~total_so2) %>%
  add_markers(marker = list(opacity = 0.5)) %>%
  layout(xaxis = list(title = "Free SO2 (ppm)"),
         yaxis = list(title = "Total SO2 (ppm)"),

         plot_bgcolor = toRGB("gray90"),

         paper_bgcolor = toRGB("skyblue"))

अभ्यास करते हैं!

R में plotly के साथ इंटरएक्टिव डेटा विज़ुअलाइज़ेशन