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Statistics Indonesia (Indonesian: Badan Pusat Statistik, BPS, lit. 'Central Agency of Statistics'), is a non-departmental government institute of Indonesia that is responsible for conducting statistical surveys. Its main customer is the government, but statistical data is also available to the public.
The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...
The new classification categorized 1,331 coded ethnicities from the census into more than 600 groups instead of just 31 in the initial classification, [4] completely dissolved the placeholder "ethnic groups from X" categories to better capture the diversity of Indonesia's ethnic demography, [5] corrected misplaced groups and subgroups, [6] and ...
HuffPost Data Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software.; Remix thousands of aggregated polling results.
Dataset from NASA's Socioeconomic Data and Applications Center includes raw population, population density, historic, current and predicted. Global Rural-Urban Mapping Project (GRUMP) Dataset from NASA's Socioeconomic Data and Applications Center (based on the above data, but includes information on rural and urban population balances).
The Statistics Indonesia in 2018 has released the official projection of Indonesia's population 2015–2045, [3] which are based on previous census in 2010 and the 2015 Indonesian population survey between censuses (SUPAS). The projection was calculated using component method and also take into consideration births, deaths, and net migration.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Data (/ ˈ d eɪ t ə / DAY-tə, US also / ˈ d æ t ə / DAT-ə) are a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally.