Global Crop Yields

Interactive Shiny Dashboard

Notable topics: Interactive Shiny Dashboard

Recorded on: 2020-08-31

Timestamps by: Eric Fletcher

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Screencast

Timestamps

rename

dplyr

Using rename to shorten column name

rename_allstr_remove

dplyrstring

Using rename_all with str_remove and regex to remove characters in column name

pivot_longer

tidyr

Using pivot_longer to change data from wide to long

geom_linefacet_wrap

ggplot2

Create a faceted geom_line chart

fct_reorder

forcats

Using fct_reorder to reorder facet panels in ascending order

write_rdsinputPanelrenderPlot

shinydplyrggplot2forcatsstringrplotly

Create an interactive Shiny dashboard

geom_line

ggplot2

Create a faceted geom_line chart with add_count and filter(n = max(x)) to subset the data for crops that have observations in every year

geom_pointgeom_abline

ggplot2

Create a faceted geom_point chart showing the crop yields at start and end over a 50 year period (1968 start date and 2018 end date)

geom_boxplot

ggplot2

Create a geom_boxplot to visualize the distribution of yield ratios for the different crops to see how efficiency has increased across countries

geom_col

ggplot2

Create a geom_col chart to visualize the median yield ratio for each crop

geom_pointgeom_text_repel

ggplot2ggrepel

Create a geom_point chart to visualize efficiency imporvement for each country for a specific crop (yield start / yield ratio)

countrycodegeom_hlinegeom_text_repel

countrycodeggplot2ggrepel

Using the countrycode package to color geom_point chart by continent names

Summary of screencast