EPriske
23 11 2021
Create a web page presentation using R Markdown that features a plot created with Plotly. Host your webpage on either GitHub Pages, RPubs, or NeoCities. Your webpage must contain the date that you created the document, and it must contain a plot created with Plotly. We would love to see you show off your creativity!
The rubric contains the following two questions:
## [1] "2021-11-23 09:53:17 UTC"
## [1] "2021-11-23"
First we will start by loading the required libraries.
## Loading required package: ggplot2
##
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
We will do a plot with data from COVID cases around the world and the total amount of deaths caused by COVID. The data comes from “COVID-19 Open Data” and it is from “BigQuery Public Datasets Program”. Here is a small description of the dataset:
“This repository contains the largest COVID-19 epidemiological database available in addition to a powerful set of expansive covariates. It includes open sourced data with a permissive license (enabling commercial use) relating to vaccinations, epidemiology, hospitalizations, demographics, economy, geography, health, mobility, government response, weather, and more. Moreover, the data merges daily time-series from hundreds of data sources at a fine spatial resolution, containing over 20,000 locations and using a consistent set of region keys.” The SQL code used to get the data was the next:
SELECT country_name, cumulative_confirmed, cumulative_deceased FROM bigquery-public-data.covid19_open_data.covid19_open_data
Link to acces the datasert: https://console.cloud.google.com/marketplace/product/bigquery-public-datasets/covid19-open-data?_ga=2.171800480.-1216389741.1637654717&project=courseralearning-311312
The dataset was summarized by Country, confirmed cases of Covid and confirmed number of deceased by Covid. The dataset was saved localy and then uploaded to Rstudio. We do some data exploration.
## C_Code Country cumulative_confirmed cumulative_deceased
## Length:194 Length:194 Min. :1.818e+03 Min. : 26
## Class :character Class :character 1st Qu.:4.852e+04 1st Qu.: 660
## Mode :character Mode :character Median :3.329e+05 Median : 5306
## Mean :2.518e+07 Mean : 646111
## 3rd Qu.:1.679e+06 3rd Qu.: 31738
## Max. :1.190e+09 Max. :31044530
## C_Code Country cumulative_confirmed cumulative_deceased
## 1 AFG Afghanistan 747338 32038
## 2 ALB Albania 116349 2401
## 3 DZA Algeria 685373 20023
## 4 AND Andorra 45279 438
## 5 AGO Angola 219024 5339
## 6 ARG Argentina 219359666 5179525
Now we will do a plot using Plotly