1.Import, Plot, Summarize, and Save DataUsing the Bureau of Labor Statistics data, choose a dataset...

Question

1.Import, Plot, Summarize, and Save Data

Using the Bureau of Labor Statistics data, choose a dataset that interest you. Then generate summary statistics for 2 variables, provide 6 graphs some of the features (e.g., histograms, box plots, density plots, etc.) of several variables, summaries of graphs and save the data locally as CSV files.

2.Explore Some Bivariate Relations

Use the same dataset within the same website to explore some bivariate relations (e.g. bivariate plot, correlation, table cross table etc.)

3.Organize a Data Report

Generate a summary report. Make sure to include: summary for every variable, structure and type of data elements, discuss four results of your data.

cdr12017-sfyfso0o.xlsx r-programming-jua5rhuh.docx

Pritam · Accepted Answer

---
title: "Untitled"
author: "Unknown"
date: "6 September 2019"
output:
  word_document: default
  pdf_document: default
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
# Required libraries:
```{r, warning=FALSE, message=FALSE}
library(readxl)
library(dplyr)
library(tidyr)
library(ggplot2)
library(ggcorrplot)
library(gridExtra)
```
# Import, Plot, summarize and save data:
```{r, warning=FALSE, message=FALSE}
cdr12017_sfyfso0o %
  gather(key = "key", value = "val") %>%
  mutate(isna = is.na(val)) %>%
  group_by(key) %>%
  mutate(total = n()) %>%
  group_by(key, total, isna) %>%
  summarise(num.isna = n()) %>%
  mutate(pct = num.isna / total * 100)
levels % filter(isna == T) %>% arrange(desc(pct)))$key
percentage_plot %
  ggplot() +
  geom_bar(aes(x = reorder(key,

1. Import, Plot, Summarize, and Save Data Using the Bureau of Labor Statistics data, choose a dataset that interest you. Then generate summary statistics for 2 variables, provide 6 graphs some of the...

Solution

Answer To This Question Is Available To Download

Related Questions & Answers

Submit New Assignment