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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r setup, include = FALSE}
knitr::opts_chunk$set(echo = FALSE)
```
```{r attach-pkgs, message=FALSE}
# Attach packages
suppressPackageStartupMessages({
library(dplyr)
library(stringr)
library(ggplot2)
library(rvest)
library(lubridate)
library(knitr)
library(emo)
})
```
```{r scrape-blog}
# Scrape the rostrum.blog home page
html <- read_html("https://rostrum.blog/")
# Extract the post titles
title <- html %>%
html_nodes(".archive-item-link") %>% # extract title node
html_text() # extract text
# Extract the post URLs
link <- html %>%
html_nodes(".archive-item-link") %>% # extract title node
html_attr("href") # extract href attribute
# Extract the post dates
date <- html %>%
html_nodes(".archive-item-date") %>% # extract date nodes only
html_text() %>% # extract text
str_replace_all("[:space:]", "") # remove newline/space
# Dataframe of titles and dates
posts <- tibble(date, title, link) %>%
transmute(
n = nrow(.):1, # number starting from first post
publish_date = ymd(date), # convert to date class
title, # title text
link = paste0("https://www.rostrum.blog", link) # create full URL
)
```
```{r plot-obj}
# Create plot object
p <- ggplot(posts) +
geom_point( # marker for today's date
aes(x = Sys.Date(), y = 1),
shape = "|", size = 10, stroke = 1, color = "grey95"
) +
geom_point( # markers for publishing dates
aes(x = publish_date, y = 1),
shape = "|", size = 10, stroke = 1, color = "#1D8016", alpha = 0.7
) +
theme(
legend.position = "none",
panel.grid = element_blank(),
axis.title = element_blank(),
axis.text.x = element_text(colour = "#1D8016"),
axis.text.y = element_blank(),
axis.ticks = element_blank(),
panel.background = element_blank()
)
```
<img src="https://raw.githubusercontent.com/matt-dray/stickers/master/output/rostrum_hex.png" alt="Hexagonal design containing the text 'rostrum.blog' and the blog's logo of a 16-bit insect." width="150" align="right">
# rostrum-blog
<!-- badges: start -->
[](https://www.rostrum.blog/)
[](https://creativecommons.org/licenses/by-nc-sa/4.0/)
[](https://app.netlify.com/sites/rostrum/deploys)
<!-- badges: end -->
Source files for [rostrum.blog](https://www.rostrum.blog/): fun and learning with the R language. Read more on the [about](https://www.rostrum.blog/about/) page.
Built with [{blogdown}](https://bookdown.org/yihui/blogdown/) and a customised [Lithium](https://github.com/jrutheiser/hugo-lithium-theme) theme. Deployed with [Netlify](https://www.netlify.com/).
# Stats
`r emo::ji("1234")` There have been `r nrow(posts)` posts on [the blog](https://www.rostrum.blog/) since `r min(posts$publish_date)`. `r if (format(today(), "%m-%d") == format(min(posts$publish_date), "%m-%d")) emo::ji("balloon")`
`r emo::ji("date")` That's a post roughly every `r round((as.numeric(today() - min(posts$publish_date))) / nrow(posts))` days, or about `r round(((nrow(posts) / (as.numeric(today() - min(posts$publish_date)))) * 30), 1)` posts per month.
`r emo::ji("new")` The latest post was published `r today() - max(posts$publish_date)` day(s) ago: [`r posts$title[1]`](`r posts$link[1]`).
`r emo::ji("chart_with_upwards_trend")` This 2D plot shows posts over time:
```{r plot-out, fig.height=1, fig.width=10, fig.alt="A 2D chart where each point represents a published blog post on a Y axis of time spanning from 2018 to the present. There are some gaps, but posts have been relatively consistent over time."}
p
```
<details><summary>`r emo::ji("open_file_folder")` Click to expand a full list of posts</summary>
```{r posts-table}
posts %>%
transmute(
Number = n,
Date = publish_date,
Title = paste0("[", title, "](", link, ")")
) %>%
kable()
```
</details>
---
_Updated on `r format(Sys.time(), "%Y-%m-%d at %H:%M")`._