Motivation
Introduction to Plotly
Ann Arbor R User Group
Rami Krispin
September 14, 2017
How many are familiar with:
Data visualization is the art of exploring and explaining data using different graphical formats including interactive charts, statistical graphs, explanatory plots, etc. It can be divided into two main categories:
Exploratory - the use of data visualization to explore the data for patterns, outliers and insights, in order to define hypothesis tests, research questions and to choose the appropriate models to apply.
Explanatory - “story-telling” using data, in an efficient and concise manner.
R base plot
plot(d$carat, d$price)
With plotly
plot_ly(x = d$carat, y = d$price)And with some additional effort
plot_ly(d, x = ~carat, y = ~price, color = ~carat, name = "Diamonds Price", size = ~carat, text = ~paste("Clarity: ", clarity)) %>%
layout(title = "Diamonds Dataset - Price vs Carat", xaxis = list(title = "Carat"), yaxis = list(title = "Price"))Use the lasso option on the map!!!
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