Challenge 1

Code

library(tidyverse)

knitr::opts_chunk$set(echo = TRUE, warning=FALSE, message=FALSE)

Challenge Overview

Today’s challenge is to

1. read in a dataset, and

2. describe the dataset using both words and any supporting information (e.g., tables, etc)

Read in the Data

Read in one (or more) of the following data sets, using the correct R package and command.

• railroad_2012_clean_county.csv ⭐
• birds.csv ⭐⭐
• FAOstat*.csv ⭐⭐
• wild_bird_data.xlsx ⭐⭐⭐
• StateCounty2012.xls ⭐⭐⭐⭐

Find the _data folder, located inside the posts folder. Then you can read in the data, using either one of the readr standard tidy read commands, or a specialized package such as readxl.

Code

bird <- read_csv("/Users/pothula/Desktop/practice/601/601_Fall_2022/posts/_data/birds.csv")

Error: '/Users/pothula/Desktop/practice/601/601_Fall_2022/posts/_data/birds.csv' does not exist.

Code

bird

Error in eval(expr, envir, enclos): object 'bird' not found

Add any comments or documentation as needed. More challenging data sets may require additional code chunks and documentation.

Describe the data

The data is describing the live animals(bird) count among various countries in different years.There are total 14 columns represting various factors.There is a column item that describes the type bird. It is also describes the value, whether the data is official or not for those recorded years

Using a combination of words and results of R commands, can you provide a high level description of the data? Describe as efficiently as possible where/how the data was (likely) gathered, indicate the cases and variables (both the interpretation and any details you deem useful to the reader to fully understand your chosen data).

#| label: summary x <- summary(bird) x