Introd u ction to animation IN TE R ME D IATE IN TE R AC TIVE - PowerPoint PPT Presentation

Introd u ction to animation IN TE R ME D IATE IN TE R AC TIVE DATA VISU AL IZATION W ITH P L OTLY IN R Adam Lo y Statistician , Carleton College

CO 2 emissions and income Q u estion : Has the relationship bet w een carbon dio x ide emissions and income changed o v er time ? world_indicators # A tibble: 11,387 x 11 country year income co2 military population urban life_expectancy four_regions <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> 1 Afghan… 1960 1210 0.0461 NA 9000000 7.56e5 38.6 asia 2 Albania 1960 2790 1.24 NA 1640000 4.94e5 62.7 europe 3 Algeria 1960 6520 0.554 NA 11100000 3.39e6 52 africa 4 Andorra 1960 15200 NA NA 13400 7.84e3 NA europe 5 Angola 1960 3860 0.0975 NA 5640000 5.89e5 42.4 africa # … with 1.138e+04 more rows, and 2 more variables: eight_regions <chr>, six_regions <ch INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Ke y frame animation Frame = plot at one time point INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

The frame aesthetic world_indicators %>% plot_ly(x = ~income, y = ~co2) %>% add_markers(frame = ~year, showlegend = FALSE) %>% layout(xaxis = list(type = "log"), yaxis = list(type = "log")) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Object constanc y A graphical element ( e . g . gl y ph ) sho u ld represent a partic u lar data point ( e . g . Belgi u m ) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

The ids aesthetic world_indicators %>% plot_ly(x = ~income, y = ~co2) %>% add_markers(frame = ~year, ids = ~country, showlegend = FALSE) %>% layout(xaxis = list(type = "log"), yaxis = list(type = "log")) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Let ' s practice ! IN TE R ME D IATE IN TE R AC TIVE DATA VISU AL IZATION W ITH P L OTLY IN R

Polishing animations IN TE R ME D IATE IN TE R AC TIVE DATA VISU AL IZATION W ITH P L OTLY IN R Adam Lo y Statistician , Carleton College

C u stomi z ations Animation options Plo � ing options Time bet w een frames Gl y ph color , shape , si z e Frame transitions A x is labels , transformations Slider appearance Tools tips ( e . g . ho v er te x t ) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Animation options ani <- world_indicators %>% plot_ly(x = ~income, y = ~co2) %>% add_markers(frame = ~year, ids = ~country, showlegend = FALSE) %>% layout(xaxis = list(type = "log"), yaxis = list(type = "log")) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Animation options ani %>% animation_opts( frame = 500, transition = frame, easing = "linear", redraw = TRUE ) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Speeding u p ani %>% animation_opts(frame = 300) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Pa u sing bet w een frames ani %>% animation_opts( frame = 700, transition = 350 ) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Bo u ncing points ani %>% animation_opts(easing = "bounce") Basic easing options : "linear" , "quad" , "cubic" , "sin" , "exp" , "circle" , "elastic" , "back" , "bounce" INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Slider options ani INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Remo v ing the slider ani %>% animation_slider(hide = TRUE) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Editing slider te x t ani %>% animation_slider( currentvalue = list(prefix=NULL) ) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Editing slider te x t ani %>% animation_slider( currentvalue = list(prefix=NULL, font = list( color = "black", size = 40 ) ) ) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Adding la y ers IN TE R ME D IATE IN TE R AC TIVE DATA VISU AL IZATION W ITH P L OTLY IN R Adam Lo y Statistician , Carleton College

Te x t la y er world_indicators %>% plot_ly(x = ~income, y = ~co2) %>% add_text( x = 6500, y = 1, text = ~year, frame = ~year, textfont = list(size = 150, color = toRGB("gray80")) ) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Points la y er world_indicators %>% plot_ly(x = ~income, y = ~co2) %>% add_text( x = 6500, y = 1, text = ~year, frame = ~year, textfont = list(size = 150, color = toRGB("gray80")) ) %>% add_markers(frame = ~year, ids = ~country) %>% layout( xaxis = list(type = "log"), yaxis = list(type = "log") ) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Polishing world_indicators %>% plot_ly(x = ~income, y = ~co2) %>% add_text( x = 6500, y = 1, text = ~year, frame = ~year, textfont = list(size = 150, color = toRGB("gray80")) ) %>% add_markers(frame = ~year, ids = ~country) %>% layout( xaxis = list(type = "log"), yaxis = list(type = "log"), showlegend = FALSE ) %>% animation_slider(hide = TRUE) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

C u m u lati v e Animations IN TE R ME D IATE IN TE R AC TIVE DATA VISU AL IZATION W ITH P L OTLY IN R Adam Lo y Statistician , Carleton College

Belgian income data belgium <- world_indicators %>% filter(country == "Belgium") belgium # A tibble: 59 x 11 country year income co2 military population urban life_expectancy four_regions <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> 1 Belgium 1960 12600 9.93 3.4 9170000 8.46e6 69.6 europe 2 Belgium 1961 13100 10.1 3.26 9230000 8.50e6 70.5 europe 3 Belgium 1962 13700 10.6 3.28 9280000 8.55e6 70.2 europe 4 Belgium 1963 14100 11.3 3.22 9340000 8.62e6 70 europe 5 Belgium 1964 15000 11 3.21 9390000 8.72e6 70.7 europe # … with 54 more rows, and 2 more variables: eight_regions <chr>, six_regions <chr> INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

What ' s the frame ? Does frame = ~year ?? # A tibble: 59 x 11 country year income co2 <chr> <dbl> <dbl> <dbl> 1 Belgium 1960 12600 9.93 2 Belgium 1961 13100 10.1 3 Belgium 1962 13700 10.6 4 Belgium 1963 14100 11.3 5 Belgium 1964 15000 11 6 Belgium 1965 15300 11.2 # … with 53 more rows, and 7 # more variables INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

What ' s the frame ? Goal frame = ~year INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Acc u m u lating data sets INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

split () library(dplyr) library(purrr) belgium %>% split(.$year) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

acc u m u late () library(dplyr) library(purrr) belgium %>% split(.$year) %>% accumulate(~bind_rows(.x, .y)) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

name library(dplyr) library(purrr) belgium %>% split(.$year) %>% accumulate(~bind_rows(.x, .y)) %>% set_names(1960:2018) INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

combine library(dplyr) library(purrr) belgium %>% split(.$year) %>% accumulate(~bind_rows(.x, .y)) %>% set_names(1960:2018) %>% bind_rows(.id = "frame") INTERMEDIATE INTERACTIVE DATA VISUALIZATION WITH PLOTLY IN R

Introd u ction to animation IN TE R ME D IATE IN TE R AC TIVE - PowerPoint PPT Presentation

Introd u ction to animation IN TE R ME D IATE IN TE R AC TIVE DATA VISU AL IZATION W ITH P L OTLY IN R Adam Lo y Statistician , Carleton College CO 2 emissions and income Q u estion : Has the relationship bet w een carbon dio x ide emissions

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