Challenge 1

challenge_1

Author

Kaushika Potluri

Published

August 15, 2022

Code

library(tidyverse)
library(readr)
library(dplyr)

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

Challenge Overview

Today’s challenge is to

read in a dataset, and
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.xlsx ⭐⭐⭐⭐

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

data <- read_csv("_data/birds.csv", col_types = "ccncncncnncncc")
spec(data)

cols(
  `Domain Code` = col_character(),
  Domain = col_character(),
  `Area Code` = col_number(),
  Area = col_character(),
  `Element Code` = col_number(),
  Element = col_character(),
  `Item Code` = col_number(),
  Item = col_character(),
  `Year Code` = col_number(),
  Year = col_number(),
  Unit = col_character(),
  Value = col_number(),
  Flag = col_character(),
  `Flag Description` = col_character()
)

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

Describe the data

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).

Code

names(data)

 [1] "Domain Code"      "Domain"           "Area Code"        "Area"            
 [5] "Element Code"     "Element"          "Item Code"        "Item"            
 [9] "Year Code"        "Year"             "Unit"             "Value"           
[13] "Flag"             "Flag Description"

Code

dim(data)

[1] 30977    14

Code

str(data)

spec_tbl_df [30,977 × 14] (S3: spec_tbl_df/tbl_df/tbl/data.frame)
 $ Domain Code     : chr [1:30977] "QA" "QA" "QA" "QA" ...
 $ Domain          : chr [1:30977] "Live Animals" "Live Animals" "Live Animals" "Live Animals" ...
 $ Area Code       : num [1:30977] 2 2 2 2 2 2 2 2 2 2 ...
 $ Area            : chr [1:30977] "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" ...
 $ Element Code    : num [1:30977] 5112 5112 5112 5112 5112 ...
 $ Element         : chr [1:30977] "Stocks" "Stocks" "Stocks" "Stocks" ...
 $ Item Code       : num [1:30977] 1057 1057 1057 1057 1057 ...
 $ Item            : chr [1:30977] "Chickens" "Chickens" "Chickens" "Chickens" ...
 $ Year Code       : num [1:30977] 1961 1962 1963 1964 1965 ...
 $ Year            : num [1:30977] 1961 1962 1963 1964 1965 ...
 $ Unit            : chr [1:30977] "1000 Head" "1000 Head" "1000 Head" "1000 Head" ...
 $ Value           : num [1:30977] 4700 4900 5000 5300 5500 5800 6600 6290 6300 6000 ...
 $ Flag            : chr [1:30977] "F" "F" "F" "F" ...
 $ Flag Description: chr [1:30977] "FAO estimate" "FAO estimate" "FAO estimate" "FAO estimate" ...
 - attr(*, "spec")=
  .. cols(
  ..   `Domain Code` = col_character(),
  ..   Domain = col_character(),
  ..   `Area Code` = col_number(),
  ..   Area = col_character(),
  ..   `Element Code` = col_number(),
  ..   Element = col_character(),
  ..   `Item Code` = col_number(),
  ..   Item = col_character(),
  ..   `Year Code` = col_number(),
  ..   Year = col_number(),
  ..   Unit = col_character(),
  ..   Value = col_number(),
  ..   Flag = col_character(),
  ..   `Flag Description` = col_character()
  .. )
 - attr(*, "problems")=<externalptr>

Code

summary(data)

 Domain Code           Domain            Area Code        Area          
 Length:30977       Length:30977       Min.   :   1   Length:30977      
 Class :character   Class :character   1st Qu.:  79   Class :character  
 Mode  :character   Mode  :character   Median : 156   Mode  :character  
                                       Mean   :1202                     
                                       3rd Qu.: 231                     
                                       Max.   :5504                     
                                                                        
  Element Code    Element            Item Code        Item          
 Min.   :5112   Length:30977       Min.   :1057   Length:30977      
 1st Qu.:5112   Class :character   1st Qu.:1057   Class :character  
 Median :5112   Mode  :character   Median :1068   Mode  :character  
 Mean   :5112                      Mean   :1066                     
 3rd Qu.:5112                      3rd Qu.:1072                     
 Max.   :5112                      Max.   :1083                     
                                                                    
   Year Code         Year          Unit               Value         
 Min.   :1961   Min.   :1961   Length:30977       Min.   :       0  
 1st Qu.:1976   1st Qu.:1976   Class :character   1st Qu.:     171  
 Median :1992   Median :1992   Mode  :character   Median :    1800  
 Mean   :1991   Mean   :1991                      Mean   :   99411  
 3rd Qu.:2005   3rd Qu.:2005                      3rd Qu.:   15404  
 Max.   :2018   Max.   :2018                      Max.   :23707134  
                                                  NA's   :1036      
     Flag           Flag Description  
 Length:30977       Length:30977      
 Class :character   Class :character  
 Mode  :character   Mode  :character