RmdIntro
Brian Walsh
3/14/2019
library(rtweet)
sens <- c("SenGillibrand", "IlhanMN", "AOC")
senTimelines <- get_timeline(sens, n = 3200)
ts_data(senTimelines, "weeks")## # A tibble: 98 x 2
## time n
## <dttm> <int>
## 1 2017-05-04 00:00:00 33
## 2 2017-05-11 00:00:00 24
## 3 2017-05-18 00:00:00 18
## 4 2017-05-25 00:00:00 18
## 5 2017-06-01 00:00:00 24
## 6 2017-06-08 00:00:00 24
## 7 2017-06-15 00:00:00 34
## 8 2017-06-22 00:00:00 25
## 9 2017-06-29 00:00:00 24
## 10 2017-07-06 00:00:00 30
## # … with 88 more rowslibrary(tidyverse)## ── Attaching packages ────────────────────────────────────────────────────────────────── tidyverse 1.2.1 ──## ✔ ggplot2 3.1.0 ✔ purrr 0.2.5
## ✔ tibble 2.0.1 ✔ dplyr 0.8.0.1
## ✔ tidyr 0.8.3 ✔ stringr 1.4.0
## ✔ readr 1.3.1 ✔ forcats 0.3.0## ── Conflicts ───────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ purrr::flatten() masks rtweet::flatten()
## ✖ dplyr::lag() masks stats::lag()senTimelines %>%
dplyr::group_by(screen_name) %>%
ts_plot("weeks")
A New Example Link
Here is a link to my website.
MPG vs. Weight
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