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Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_3cf667d761b4bdc6d4d3d3aeec37dea5/view
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Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_b082ea2b88b610aefa402e7f7e1475a2/view
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TwitterThis dataset is in context of the real world data science work and how the data analyst and data scientist work.
The dataset consists of four columns Year, Level_1(Ethnic group/gender), Level_2(Age group), and population
I would sincerely thank GeoIQ for sharing this dataset with me along with tasks. Just having a basic knowledge of Pandas and Numpy and other python data science libraries is not enough. How can you execute tasks and how can you preprocess the data before making any prediction is very important. Most of the datasets in Kaggle are clean and well arranged but this dataset thought me how real world data science and analysis works. Every data science beginner must work on this dataset and try to execute the tasks. It would only give them a good exposer to the real data science world.
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Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_aa6944abddbcffd58fa3e08bf61a1f7c/view
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TwitterGambling is bad, m'kay.
This repository provides horse race data for the Hong Kong Jockey Club and the Singpore Turf Club. The data was obtained by scraping their respective public websites, and comes with no guarantee of correctness whatsoever.
A particularly cool thing is that we also provides historical odds for a period of time for HKJC race. Being able to predict what would be the final odds for a given horse on a given race is extremely valuable, but historical data are, as far as we know, not publicly available. We thus wrote a scraper, that ran for 2 seasons, that probed the odds at regular interval up to the race start. This allows for cool time series analysis that can't be done with historical data available on the public websites.
That dataset is provided as a set of compressed CSV files, that can easily be reloaded to a database of your choice, a pandas dataframe, or even Excel if you don't know any better. The HKJC website is just a little less crappy that the TurfClub one, in general HK data contains more information than their Singaporean counterpart.
List of all the horses (some retired) for HKJC and SGTC that ran a race, up to 2018-07-01.
Each row of this table is the result for a single horse in a single race, with their position, final odds (for first place -- more explicit dividends can be found in the all_dividends table for HK races). This is the main source of information for the statistics you want. Note that some races found in the performance table do NOT have their counterpart in the races table.
This contains historical results from 1979 up to 2018-06-27 for Hong Kong, and 2002-03-08 to 2018-04-24 for Singapore.
List of all the races ran between 2016-09-28 and 2018-06-27 for Hong Kong and 2016-09-25 to 2018-04-24 for Singapore. Note that some races not found in this table still have available performances in the performances table.
Each row of this table contains the JSON-encoded dividend results (which can be used to infer the final odds) for each race ran in Hong Kong between 2016-09-28 and 2018-06-27.
Each row contains the sectional times for races ran between 2008-06-05 and 2018-06-27. That's basically, for a given horse in a given race, what was their placing and time at given section of the track.
Live odds evolution for Hong Kong race ran between 2016-09-27 and 2018-06-27. HKJC is a "pari-mutuel" system where odds for a given horse / bet evolve up to the start of the race. This dataset was collected by poking for the odds at various interval before a race (with the interval getting smaller as the race was getting closer, since that's when the odds tend to vary the most). As far as we can tell, this kind of information can not be found in historical dataset, and can only be collected in real-time.
Foto von Gene Devine auf Unsplash
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This list ranks the 36 counties in the Oregon by Singaporean population, as estimated by the United States Census Bureau. It also highlights population changes in each county over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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Multiculturalism, in Singapore and all over the world, is one of the challenges of modern society and industrial civilization. Strong exposure to other ethnic groups living in the same country can promote the development of a common culture as well as psychosocial stress between ethnic majority and minority. Interestingly, the distinction between in-group and out-group is becoming not only defined by ethnicity but also by cultural belonging. Culture defines the identity of a group as much as ethnicity does. In terms of multiculturalism, Singapore represents a very unique case. In Singapore the definition of in-group and out-group is a dynamic process. The purpose of this study is to highlight the social dynamics of culture and ethnicity within in-groups and out-groups in a multicultural society. In this study we will investigate the brain and physiological responses in a sample of 50 Singaporean participants. They will be exposed to both in-group and out-group faces in two different contexts: ethnicity-related contexts (EC; foreign country) versus culture-related contexts (CC; local). We propose to adopt an integrative approach by combining neuroscience (fMRI), psychophysiology (heart dynamics, skin conductance and thermal regulation) and socio-psychology and attitudes to others (Multiculturalism, Refined Schwartz Value survey, Right-wing Authoritarianism Scale) in a multi-level analysis. This study will cover the complex integration between affective and cognitive mechanisms and ethnic-cultural factors which all together drive the final sense of belonging. Findings from this project will have high research relevance to the literature on individual and environmental social factors that influence the definition and distinction of cultural in-group and out-group. The study will also give new insight towards a comprehensive framework for deeply understanding the social dynamics in multicultural and multiethnic societies such as Singapore.
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This list ranks the 5 cities in the Knox County, OH by Singaporean population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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This list ranks the 1 cities in the Power County, ID by Singaporean population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_4d42b895bcd91b3efe4ed2c0e021b928/view
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Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_8f1404e56fa6ef520b901a4b51062ee6/view
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This list ranks the 50 states in the United States by Singaporean population, as estimated by the United States Census Bureau. It also highlights population changes in each state over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_cf29323093e9a38f58a234770faaf182/view
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This list ranks the 3 cities in the Santa Fe County, NM by Singaporean population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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This list ranks the 1 cities in the Del Norte County, CA by Singaporean population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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This list ranks the 6 cities in the White County, IN by Singaporean population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_5c1b7f454248e9bb20bc5959eea5928b/view
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This list ranks the 1 cities in the Lewis County, KY by Singaporean population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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This list ranks the 2 cities in the Harney County, OR by Singaporean population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_fb8ce4a963b3045ce9f97bafee289c0b/view
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Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_3cf667d761b4bdc6d4d3d3aeec37dea5/view