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storywranglr

This package makes it easy to explore trends in Twitter data using the Storywrangler application programming interface (API). Data is returned in a tidy tibble to make it easy to work with and visualize.

For more details about Storywrangler, please see:

Installation

You can install the developer version, which has the latest bugfixes and features, with:

devtools::install_github("chris31415926535/storywranglr")

You can install the released version of storywranglr from CRAN with:

install.packages("storywranglr")

Examples

Let’s use storywranglr::ngrams() to chart the popularity of the 2-gram “black friday” over time. Not surprisingly, it looks like there’s an annual peak around Black Friday.

library(storywranglr)
library(tidyverse)

result <- storywranglr::ngrams("black friday")

result %>%
  ggplot(aes(x=date, y=rank)) +
  geom_point() +
  theme_minimal() +
  scale_y_continuous(trans = "reverse") +
  labs(title = "Twitter rank popularity of 2-gram 'black friday'",
       subtitle = "Data from Storywrangler ngrams API",
       x = "Date",
       y = "Rank")

Now using storywrangler::zipf(), let’s find the 10 top 2-grams from January 6, 2021. “the Capitol” made the top 10, and if we got a longer list we could expect to see other thematically related terms.

result <- zipf("2021-01-06", max = 10, ngrams = 2)

knitr::kable(result)
ngram count count_no_rt rank rank_no_rt freq freq_no_rt odds date
of the 1327429 236481 2 3 0.0026367 0.0018889 379.2560 2021-01-06
in the 1116763 236362 3 4 0.0022183 0.0018880 450.7987 2021-01-06
the Capitol 813958 43687 5 75 0.0016168 0.0003490 618.5029 2021-01-06
This is 684264 140136 6 8 0.0013592 0.0011193 735.7326 2021-01-06
to the 610598 122263 8 13 0.0012129 0.0009766 824.4956 2021-01-06
on the 601955 114038 9 15 0.0011957 0.0009109 836.3339 2021-01-06
to be 588970 169747 10 5 0.0011699 0.0013559 854.7725 2021-01-06

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.