Rio_instagram#

From the data creator: “This dataset includes Instagram user characteristics of those Olympic athletes who won gold medals in the individual events of Rio2016. The name of all these gold medalists of individual events are in the dataset (226 athletes), however only 149 athletes (85 men and 64 women) had their Instagram publicly available at the time of data crawling (the whole dataset was crawled from 9-Aug-2019 to 12-Aug-2019). Thus, for some athletes we could not present data in the dataset.”

undefined

Initialization#

library(fosdata)
data <- fosdata::rio_instagram

Accessing fields#

data <- fosdata::rio_instagram
country <- data$country # Just a random field in the dataset

Interactive R Sample#

You can use the R editor below to interactively explore the dataset and generate plots. This contains a fully self-contained R environment with fosdata, ggplot2, and dplyr loaded.

No plot generated yet.

LLM instructions#

If using an LLM, you can copy-paste the following instructions to accompany your prompt to inform the model of the fields and their types in the dataset.

The fosdata::rio_instagram dataset containing the following fields:

fields[14]{name,type,values}:
  sport,character,n/a
  country,character,n/a
  name,character,n/a
  gender,factor,[m,f]
  id,character,n/a
  n_post,numeric,n/a
  n_follower,numeric,n/a
  n_following,numeric,n/a
  max_like,numeric,n/a
  max_comment_for_max_like,numeric,n/a
  self_presenting,numeric,n/a
  pure_self_presenting,numeric,n/a
  age,numeric,n/a
  date,POSIXct,n/a

Fields#

Source#

Amirhosein Bodaghi. (2019). Instagram Characteristics of Olympic gold medalists (Rio2016) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3469514