In the beginning, there was text… and it was good.
We didn’t have need for high falutin rich text hypermedia science fiction mumbo jumbo. At its core, org-mode is just exactly this: text. Org-mode may be daunting, but when you feel overwhelmed, breathe and know that org-mode’s lowest common denominator is just plain text.
Sometimes, however, text alone doesn’t adequately convey intent. Occasionally we need to be bold or otherwise add emphasis
| library(tidyverse) # Start with the tidyverse, yo! | |
| library(lubridate) # Hey mate, use lubridate! | |
| df <- tibble( # Like data.frame, but tidyverse...ier | |
| month = month(1:12, label = 12), | |
| cases = c( | |
| 2291999, 2295025, 2305049, 2298570, | |
| 2312778, 2322623, 2323876, 2335145, | |
| 2324974, 2327760, 2363594, 2394956) | |
| ) %>% # Pipes are part of tidyverse / common in modern R |
| library(tidyverse) | |
| library(readr) | |
| library(stringr) | |
| library(scales) | |
| library(wru) # Predict race | |
| library(gender) # Predict gender | |
| ## Employees / salary info for Chicago | |
| df_sal <- read_csv("https://data.cityofchicago.org/api/views/xzkq-xp2w/rows.csv?accessType=DOWNLOAD") |
| { | |
| "$schema": "https://vega.github.io/schema/vega-lite/v2.json", | |
| "data": {"url": "https://data.seattle.gov/api/views/mags-97de/rows.csv"}, | |
| "selection": { | |
| "grid": { | |
| "type": "interval", "bind": "scales" | |
| } | |
| }, | |
| "mark": "circle", | |
| "encoding": { |
These are some notes I made to reason through / illustrate usage of the new DSMP API. Usage here is presented as a linear set of steps for pedagogical purposes rather than attempting to create a reusable set of functions or a library.
Creating a new R client library based around the DSMP API is a task for the hopefully-not-too-distant future.
| % I use the memoir class for everything. `texdoc memoir` from your command | |
| % prompt (on Mac & Linux anyway) has all the details. It's better. | |
| \documentclass[11pt,letterpaper,article]{memoir} % for a short document | |
| \usepackage{lipsum} | |
| \usepackage{amsmath} | |
| \usepackage{latexsym} | |
| % Useful for Knitr. Otherwise, I use memoir class's 'ctabular' env. | |
| \usepackage{longtable} | |
| \newsubfloat{figure}% Allow subfloats in figure environment |
| # Statewide obesity data | |
| # from http://massey.limfinity.com/data/ | |
| library(gdata) | |
| library(ggplot2) | |
| # stringsAsFactors=FALSE is important more often than not. | |
| obesity <- read.xls("http://massey.limfinity.com/data/obesity.xls", | |
| sheet=1, stringsAsFactors=FALSE) |