--- title: "Manually Load pixarfilms Data" description: | Shows how to load pixarfilms data in R and Python. output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Manually Load pixarfilms Data} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ## Overview This vignette here demonstrates how to manually load data without using the {pixarfilms} package if you wish to explore and analyze this data elsewhere. ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ``` ## Loading within R If for some reason, you don't wish to install the package officially, you can also access the data by reading the data directly from GitHub using {readr}. ```{r} library(readr) url <- "https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_films.csv" pixar_films <- read_csv(url) ``` ## Loading within Python and pandas Similarly, you can read the data directly ```python import pandas as pd url = "https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_films.csv" pixar_films = pd.read_csv(url) ``` ## Data links Here are the URL links you can use using the above methods. ``` https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/academy.csv https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/box_office.csv https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/genres.csv https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_films.csv https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/pixar_people.csv https://raw.githubusercontent.com/erictleung/pixarfilms/main/data-raw/public_response.csv ```