Hello, everybody. In this post, I will show you about PUBG Mobile Global Championship Season Zero Finals analysis using R. This post is a continuation of the previous post. If previously it was the superweekend phase, then this is the main main event.
This data collected from Liquipedia page. I do copy-paste page to excell table (on January 29, 2021) and analysis in R using readxl, tidyverse, gghighlight and ggthemer package.
The data that I have is in the form of excell and only consists of 1 sheet only. …
Hello, everybody. In this post, I will show you about PUBG Mobile Global Championship Season Zero League Stage analysis using R. This data collected from Liquipedia page. I do copy-paste page to excell table (on December 23, 2020) and analysis in R using rio, tidyverse, janitor and ggthemer package.
Previously, I had done a similar analysis about PUBG Mobile. You can read it in the following post.
The data that I have is in the form of excell and each sheet contains one superweekend week. For that I combine (bindrow) for each sheet. …
Hello, everybody. In this post, I will show you about PUBG Mobile Pro League SEA Season 2 Scrapping and Analysis Using R. This data collected by scrapping from Liquipedia page. I do scrapping (on October 29, 2020) and analysis in R using tidyverse, ggdark and rvest package.
Because I only do scrapp on single page, so I don’t need to make a function. In the data preparation step, I added a new column, namely placement points based on team placement for each round and total points (kill + placement point).
Hello, everybody. In this post, I created a city-based weather monitoring application. This is a simple application for monitoring the weather in an area / city which is very easy for people to understand. I got this data from the Open Weather API. The library that I use to build this application is as follows.
flexdashboard, tidyverse, glue, httr, jsonlite, leaflet, shiny
Some of the features on this dashboard are as follows.
Hello, everybody. In this post, I will show you about MotoGP race scrapping and analysis from Season 2014–2019. This data collected by scrapping from motorsportstats.com MotoGP page. I do scrapping (on October 13, 2020) and analysis in R using tidyverse and rvest package.
Before I started, we need to loading library first. I use tidyverse, rvest and janitor. After that, I made function to do scrapping from the site. After the functions done, it’s time to store raw data into a data frame format. The raw data isn’t ready to analysis, I need to cleaning this data and modified some…
Hello everybody. In this post, I will show you top fives most usefull ggplot extensions for data visualization. Data visualization is the most important step for data analysis task. Data visualization can make everyone understanding about the data much easier. Ggplot one of the most popular tools for data visualization. I prefer using ggplot than base R function to make graph, because ggplot more easy, and readable code.
Ggplot2 is a data visualization package for the statistical programming language R. Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson’s Grammar of Graphics — a general scheme…
Hello, Everybody. In the previous post, I show you about dota 2 tournament (Grand Final Round) in general. In this post, I will show you in a specific team. That is Boom Esport (or Boom ID).
Boom Esports, formerly known as Boom ID, is an esports organization that was founded in November 2016. They are also active in Counter Strike: Global Offensive. On January 30th, 2017, the organization entered the Dota 2 scene. On September 13, 2019, it changed its name from Boom ID to Boom Esports.
This data collected by scrapping from the Liquidpedia Tournament page. I…
Hello, everybody. In this post, I will show you about dota 2 tournament analysis from any tier (Liquidpedia Tier) except tier 4. This data collected by scrapping from Liquidpedia Tournament page. I do scrapping (in July 23, 2020) and analysis in R using tidyverse, rvest and cowplot package.
After I made functions, it’s time to store raw data into a data frame format.
map_df(c(2015, 2017, 2020), get_tournament_tier2),
The raw data isn’t ready to analysis, I need to cleaning this data and modified somo column/variable. I also save this data to csv format.
Hello Everyone. In this post I will show you how to re-create diagram with Katadata.co.id style using Plotly and R programming of course.
Based on the information I got from the official website. Katadata.co.id is an online media, data and research company in the fields of economics and business. Founded on April 1, 2012 in Jakarta, the company presents in-depth news, information, data and research results for the benefit of business leaders and policy makers. The Katadata team consists of experienced journalists and researchers in the fields of energy, finance, macroeconomics, trade and infrastructure.
The articles in this word are…
Hi everybody. In this post, I will show you my project about coronavirus pandemic in Indonesia. Yeah. Finally, I made dashboard using R and flexdashboard library. I started making this dashboard in April, 2020 and finished in 4 days. I realized that this dashboard is not perfect, but I’ so proud to finish this dashboard.
The 2019–20 coronavirus pandemic is an ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak was identified in Wuhan, China, in December 2019. (Source: Wikipedia).
This virus entered Indonesia in early March. This virus is spreaded…
Love sport science and bussines statistics, Indonesian.