Statistik-Saurus

Global Findex (Financial Inclusion Index) report which was released in 2018 shows only 48.9 percent of the adults in Indonesia own a bank account. Millions of unbanked Indonesian adults work in private sector and get paid in cash. What is the main reason to these young adults not having bank account? the reason is the distance and surprisingly 69 percent of this population segment have their own mobile phone.  We see some efforts from the banking institution to reach out this unbanked population but it is not enough, there is still a wide gap.  We may now realize that why there are many advanced technology multi-finance companies occur in the recent years, these companies fill the gap. They know the characteristics of the unbanked population and by utilizing the technology they can reach out more of this population. But, reaching this population is not without some risks. Multi-finance companies compete with each other to capture the market, they will offer many products to at

Engel's law is an observation in economics stating that as income increases, the proportion of income spent on food decreases, even if absolute expenditure on food increases. The law was named after the statistician  Ernst Engel (1821–1896). One application of this statistic is treating it as a reflection of the living standard of a country. As this proportion — or "Engel coefficient" — increases, the country is by nature poorer; conversely a low Engel coefficient indicates a higher standard of living. Engel's Law image source: Wikipedia Using data collected through National Social and Economic Survey (NSES) by BPS-Statistics Indonesia, I tried to examine the existence of Engel's Law among households that received social grants in West Papua-Indonesia. Some studies found that giving additional money to the low-income households resulted in an increase in overall expenditure on food (on absolute) but the proportion  of income spent on food would decrea

Greek Debt Dramas Before the Global Financial Crisis (GFC) in 2008, the Greek had positive economic growth and it was considered high among countries in eurozone. Average economic growth reached almost four per cent between 1999 and 2007. Then the crisis hit in 2007 where housing bubble burst and made the subprime mortgage market in the United State collapsed. The crisis in the U.S. created a chain reaction which causing global banking crisis and credit crunch that lasts through 2009. The crisis made Lehman Brothers, big financial company, collapsed and the government in the United States and Europe prepared to bail out their banks. Greece failed to pay their huge debt since borrowing costs rose and financing dried up.  The financial crisis affected the Greek economy by reducing financial liquidity and business activity. Greece had been fortunate enough to face the crisis with the euro instead of its national currency, if they were using their national currency the crisis would

Nowadays, information and communication technology and the lifestyle of the citizen, especially in big cities, seem inseparable, including in Indonesia. Unlike countries in Europe, Indonesia is still in the process of going to digital oriented societies. Based on the latest research of Center of Innovation Policy and Governance (CIPG), Indonesia’s internet penetration growth is the highest in Asia which reaches 51 percent. Indonesia’s National Statistics Office also reports that Information and Communications Industry has been growing rapidly (more than 8% per year) for the last five years. We can see many Indonesian youths try to grasp this momentum by working or creating technology-based start-up companies. One of these Indonesia’s companies that has significant impact in the societies is called Gojek. Gojek, established in 2009, is Uber-like company that provides network services for hiring vehicle and delivering goods and services. This company quickly gains popularity sin

Developed countries are viewed as having high contribution of the Manufacturing Industry Sector (Bahasa: Sektor/Kategori Industri Pengolahan) in the economic structure (Gross Domestic Product). Most economists agree that a country can be viewed as developed country if the contribution of the Manufacturing Industry Sector reaches a total of 30 percent of the total Gross Domestic Product (GDP). What about Indonesia's Economy? BPS-Statistics of Indonesia (National Statistics Office), in January 2018, reported that Indonesia's economy in 2017 measured by Gross Domestic Product (GDP) at current prices reached Rp 13,588.8 trillion and GDP per capita reaches Rp 51.89 million or US$ 3,876.8. Indonesia's economy grew (c to c) 5.07 percent higher than the economic growth in 2016 (5.03 %). The highest growth was achieved by the Information and Communication Sector which was 9.81 percent. The structure of Indonesia's economy was dominated by three main sectors: Manufacturin

Shiny is an R package that makes it easy to build interactive web apps straight from R. You can host standalone apps on a webpage or embed them in R Markdown documents or build dashboards . (R Studio) This one below is an example of how useful Shiny for data visualisation: *Sudden changes starting in year 2010 caused by the implementation of new HDI method Codes for the above visualisation: library(shiny) library(googleCharts) library(dplyr) library(readxl) head(data) ## # A tibble: 6 x 6 ## woe_label Island year Grdpc HDI Population ## <fct> <fct> <dbl> <dbl> <dbl> <dbl> ## 1 Aceh Sumatera 2000 4995. 65.3 3930905 ## 2 North Sumatra Sumatera 2000 5848. 66.6 11649655 ## 3 West Sumatra Sumatera 2000 5388. 65.8 4248931 ## 4 Riau Sumatera 2000 5746. 67.3 4957627 ## 5 Jambi Sumatera 2000 3503. 65.4 2413846 ## 6 South Sumatra Sumatera 2000 4506.

Creating the Map In this article, I will try to explain how to make Indonesia Map in R. I will assume that you are already familiar with the basic codes in R. First, we need the required libraries : require (maps) #loading maps package require (mapdata) #loading mapdata package library(ggplot2) #ggplot2 package library(readxl) #package for read .xlsx file library(ggthemes) #package for ggplot2 theme library(ggrepel) #extendig the plotting package ggplot2 for maps Then, we prepare the data that contains the information of provinces name, latitude, and longitude of every province in Indonesia, e.g. : You can download the data in here:  Data Now open the file and create the polygon: setwd( "your file's path" ) #set your own directory mydata<- read _xlsx( "dummy.xlsx" ) #assign the data to "mydata" View(mydata) #view the data, notice the column of "latitude","longitude", "woe_label" glo