The dataset contains ranking-and-academic-year-, state-, and university/institute-wise compiled data on the total number of admitted, graduated and placed students of post and graduate students, along with additional details such as number of first year students intaken, number of admitted students through lateral entry, number of students selected for higher studies and median salary of students selected for placements, etc., as per the National Institutional Ranking Framework (NIRF) data

Studyportals dataset provides a comprehensive set of data that can help students find Master's programs in Computer Science and IT worldwide. 🌍

This Dataset features a database of universities and colleges from around the world that offer Master's programs in these fields. Students can search for programs based on various criteria such as location, specialization, duration, and tuition fees.

• Once students find a program of interest, Studyportals provides detailed information about the program, including the curriculum, admission requirements, application deadlines, and tuition fees. Students can also read reviews and ratings from other students who have completed the program, which can help them make informed decisions about their education.

• Studyportals also offers a range of resources to help students prepare for their Master's program in Computer Science and IT. These resources include language courses, standardized test preparation courses, and career advice.

• Overall, Studyportals is a useful resource for students who are interested in pursuing a Master's program in Computer Science and IT, as it provides a comprehensive database of programs and offers a range of resources to help students prepare for their studies.

1. Times Higher Education Ranking (2018): The Times Higher Education (THE) ranking is one of the most prestigious university rankings in the world. It ranks universities based on various factors such as research, teaching quality, knowledge transfer, and international outlook. Some universities that may be included in this ranking are the University of Oxford (UK), the University of Cambridge (UK), and Stanford University (USA).

2. Shanghai Jiao Tong University Ranking (2017): The Shanghai Jiao Tong University (SJTU) ranking is another well-known university ranking system. It focuses mainly on research performance and ranks universities based on factors such as Nobel Prize winners, highly cited researchers, and publications in top journals. Some universities that may be included in this ranking are Harvard University (USA), the University of Tokyo (Japan), and the University of Toronto (Canada).

   1. TopUniversities Ranking (2018): The TopUniversities ranking is based on several factors such as academic reputation, employer reputation, and research impact. It is widely used by students and universities to compare different institutions. Some universities that may be included in this ranking are the Massachusetts Institute of Technology (USA), the University of Cambridge (UK), and the University of Melbourne (Australia).

3. U.S. News & World Report Ranking (2018): The U.S. News & World Report ranking focuses primarily on American universities and colleges, but it also includes some international institutions. It ranks universities based on factors such as research performance, student outcomes, and academic reputation. Some universities that may be included in this ranking are Princeton University (USA), the California Institute of Technology (USA), and the University of Oxford (UK).

"""When using Studyportals, students can search for universities based on their rankings in these systems and also filter by location, program, tuition fees, and other criteria. This can help students find universities that meet their specific needs and preferences."""

This statistic provides a ranking of universities in the United States in 2015, by their number of Hispanic Master's degree graduates. In 2015, Florida International University conferred ***** Master's degrees to Hispanic students.

Data on the top universities for Computer Science in 2025.

Data is from FiveThirtyEight's candy rankings. Data documentation is here: https://github.com/fivethirtyeight/data/blob/master/candy-power-ranking/README.md. The article describing the methodology and rankings is here: https://fivethirtyeight.com/videos/the-ultimate-halloween-candy-power-ranking/

Data on the top universities for Physical Sciences in 2025, including disciplines such as Chemistry, Geology, and Physics & Astronomy.

This data set contains the match up results over 1 million ranked matches at the Masters level from the top 15,000 ranked masters players by 'Masters Rating' from https://www.streetfighter.com/6/buckler/ranking/master at the time of data collection ~22/02/2025.

Each player had the results and data of their most recent max 100 matches collected and stored in a SQL table.

The data is intended to demonstrate the overall balance of match ups between characters on the Street Fighter 6 Roster.

Data on the top universities for Law in 2025.

In 2022, Canada had the highest share of adults with a university degree, at over 60 percent of those between the ages of 25 and 64. India had the smallest share of people with a university degree, at 13 percent of the adult population. University around the world Deciding which university to attend can be a difficult decision for some and in today’s world, people are not left wanting for choice. There are thousands of universities around the world, with the highest number found in India and Indonesia. When picking which school to attend, some look to university rankings, where Harvard University in the United States consistently comes in on top. Moving on up One of the major perks of attending university is that it enables people to move up in the world. Getting a good education is generally seen as a giant step along the path to success and opens up doors for future employment. Future earnings potential can be determined by which university one attends, whether by the prestige of the university or the connections that have been made there. For instance, graduates from the Stanford Graduate School of Business can expect to earn around 250,000 U.S. dollars annually.

Data on the top universities for Business and Economics in 2025, including disciplines such as Accounting and Finance, Business Management, and Economics.

The data contains ranks of Experts, Masters, and Grandmasters of the Datasets Tier. You can apply EDA to this data and see which country is having the highest-ranked Kaggle Users. Name: User name. Rank: User rank on the leaderboard. Level: User level whether a user is an expert, master, or grandmaster. Link: Profile link Gold: Total number of gold a user got. Silver: Total number of silver a user got. Bronze: Total number of bronze a user got. Points: Total number of points a user got. Joined: Year/Month joined Total Competitions: Total number of competitions a user participated in. Total Dataset: Total number of datasets a user uploaded. Total Codes: Total number of codes/notebooks a user uploaded. Total Discussion: Total number of discussions a user had. Highest Rank: Highest rank hit by a user. Current Rank: User's current rank. Current Level: Current Level represents whether a user's level is expert, master, or grandmaster in one of the four tiers. City: User's city. State: User's state. Country: User's country.

Data on the top universities for Engineering in 2025, including disciplines such as Chemical Engineering, Civil Engineering, and Mechanical and Aerospace Engineering.

ATP Tennis Rankings, Results, and Stats

This contains my master ATP player file, historical rankings, results, and match stats. The player file columns are player_id, first_name, last_name, hand, birth_date, country_code, height (cm). The columns for the ranking files are ranking_date, ranking, player_id, ranking_points (where available). ATP rankings are mostly complete from 1985 to the present. 1982 is missing, and rankings from 1973-1984 are only intermittent. Results and stats:… See the full description on the dataset page: https://huggingface.co/datasets/davidtadediji/tennis-atp.

Data on the top universities for Medical and Health in 2025, including disciplines such as Medicine and Dentistry, and Other Health Subjects.

Journals & Ranking

An academic journal or research journal is a periodical publication in which research articles relating to a particular academic discipline is published, according to Wikipedia. Currently, there are more than 25,000 peer-reviewed journals that are indexed in citation index databases such as Scopus and Web of Science. These indexes are ranked on the basis of various metrics such as CiteScore, H-index, etc. The metrics are calculated from yearly citation data of the journal. A lot of efforts are given to make a metric that reflects the journal's quality.

Journal Ranking Dataset

This is a comprehensive dataset on the academic journals coving their metadata information as well as citation, metrics, and ranking information. Detailed data on their subject area is also given in this dataset. The dataset is collected from the following indexing databases: - Scimago Journal Ranking - Scopus - Web of Science Master Journal List

The data is collected by scraping and then it was cleaned, details of which can be found in HERE.

Key Features

• Rank: Overall rank of journal (derived from sorted SJR index).
• Title: Name or title of journal.
• OA: Open Access or not.
• Country: Country of origin.
• SJR-index: A citation index calculated by Scimago.
• CiteScore: A citation index calculated by Scopus.
• H-index: Hirsh index, the largest number h such that at least h articles in that journal were cited at least h times each.
• Best Quartile: Top Q-index or quartile a journal has in any subject area.
• Best Categories: Subject areas with top quartile.
• Best Subject Area: Highest ranking subject area.
• Best Subject Rank: Rank of the highest ranking subject area.
• Total Docs.: Total number of documents of the journal.
• Total Docs. 3y: Total number of documents in the past 3 years.
• Total Refs.: Total number of references of the journal.
• Total Cites 3y: Total number of citations in the past 3 years.
• Citable Docs. 3y: Total number of citable documents in the past 3 years.
• Cites/Doc. 2y: Total number of citations divided by the total number of documents in the past 2 years.
• Refs./Doc.: Total number of references divided by the total number of documents.
• Publisher: Name of the publisher company of the journal.
• Core Collection: Web of Science core collection name.
• Coverage: Starting year of coverage.
• Active: Active or inactive.
• In-Press: Articles in press or not.
• ISO Language Code: Three-letter ISO 639 code for language.
• ASJC Codes: All Science Journal Classification codes for the journal.

Rest of the features provide further details on the journal's subject area or category: - Life Sciences: Top level subject area. - Social Sciences: Top level subject area. - Physical Sciences: Top level subject area. - Health Sciences: Top level subject area. - 1000 General: ASJC main category. - 1100 Agricultural and Biological Sciences: ASJC main category. - 1200 Arts and Humanities: ASJC main category. - 1300 Biochemistry, Genetics and Molecular Biology: ASJC main category. - 1400 Business, Management and Accounting: ASJC main category. - 1500 Chemical Engineering: ASJC main category. - 1600 Chemistry: ASJC main category. - 1700 Computer Science: ASJC main category. - 1800 Decision Sciences: ASJC main category. - 1900 Earth and Planetary Sciences: ASJC main category. - 2000 Economics, Econometrics and Finance: ASJC main category. - 2100 Energy: ASJC main category. - 2200 Engineering: ASJC main category. - 2300 Environmental Science: ASJC main category. - 2400 Immunology and Microbiology: ASJC main category. - 2500 Materials Science: ASJC main category. - 2600 Mathematics: ASJC main category. - 2700 Medicine: ASJC main category. - 2800 Neuroscience: ASJC main category. - 2900 Nursing: ASJC main category. - 3000 Pharmacology, Toxicology and Pharmaceutics: ASJC main category. - 3100 Physics and Astronomy: ASJC main category. - 3200 Psychology: ASJC main category. - 3300 Social Sciences: ASJC main category. - 3400 Veterinary: ASJC main category. - 3500 Dentistry: ASJC main category. - 3600 Health Professions: ASJC main category.

Comprehensive YouTube channel statistics for Ms Rachel - Toddler Learning Videos, featuring 17,900,000 subscribers and 13,391,589,152 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Music category and is based in US. Track 120 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Considering the three different types presented in this statistics, 'Tins' leads the French ranking with *** million people. Contrastingly, 'Pouches' is ranked last, with ****** thousand people. Their difference, compared to the Types, lies at ****** thousand people.

Considering the three different types presented in this statistics, 'Pouches' leads the ranking with ********* people. Contrastingly, 'Foil trays' is ranked last, with *********** people.

About this dataset

Context

This list ranks the 60 cities in the Worcester County, MA by White population, as estimated by the United States Census Bureau. It also highlights population changes in each cities over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2018-2022 American Community Survey 5-Year Estimates
• 2017-2021 American Community Survey 5-Year Estimates
• 2016-2020 American Community Survey 5-Year Estimates
• 2015-2019 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by White Population: This column displays the rank of cities in the Worcester County, MA by their White population, using the most recent ACS data available.
• cities: The cities for which the rank is shown in the previous column.
• White Population: The White population of the cities is shown in this column.
• % of Total cities Population: This shows what percentage of the total cities population identifies as White. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Worcester County White Population: This tells us how much of the entire Worcester County, MA White population lives in that cities. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: TThis column displays the rank trend across the last 5 years.

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.

Inspiration

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/.

ATP Tennis Rankings, Results, and Stats

This contains my master ATP player file, historical rankings, results, and match stats.

The player file columns are player_id, first_name, last_name, hand, birth_date, country_code, and height (cm).

The columns for the ranking files are ranking_date, ranking, player_id, and ranking_points (where available).

ATP rankings are mostly complete from 1985 to the present. 1982 is missing, and rankings from 2001-2022020 are only intermittent.

Results and stats: There are up to three files per season: One for tour-level main draw matches (e.g. 'atp_matches_2014.csv'), one for tour-level qualifying and challenger main-draw matches, and one for futures match.

Most of the columns in the results files are self-explanatory. I've also included a matches_data_dictionary.txt file to spell things out a bit more.

To make the results files easier for more people to use, I've included a fair bit of redundancy with the biographical and ranking files: each row contains several columns of biographical information, along with ranking and ranking points, for both players. Ranking data, as well as age, areas of tourney_date, which is almost always the Monday at or near the beginning of the event.

MatchStats a are included where I have them. In general, that means 1991-present for tour-level matches, 2008-present for challengers, and 2011-present for tour-level qualifying. The MatchStats columns should be self-explanatory, but they might not be what you're used to seeing; it's all integer totals (e.g. 1st serves in, not 1st serve percentage), from which traditional percentages can be calculated.

There are some tour-level matches with missing stats. Some are missing because ATP doesn't have them. Others I've deleted because they didn't pass some sanity check (loser won 60% of points, or match time was under 20 minutes, etc). Also, Davis Cup matches are included in the tour-level files, but there are no stats for Davis Cup matches until the last few seasons.

Doubles I've added tour-level doubles back to 2000. Filenames follow the convention atp_matches_doubles_yyyy.csv. I may eventually be able to add tour-level doubles from before 2000, as well as lower-level doubles for some years. Most of the columns are the same, though in a different order.

Doubles updates are temporarily suspended as of late 2020.

Contributing If you find a bug, please file an issue, and be as specific as possible.

Feel free to correct bugs or fill in missing data via pull requests, but be aware that I will not merge PRs. But if that's the most convenient way for you to submit improvements to the data, that's fine; I can work with that.

If you'd like to contribute to the project, I post "help wanted" issues, starting with a plea to fill in biographical data such as date of birth.

Also, I encourage everyone to pitch into the Match Charting Project by charting pro matches. It's not a direct contribution to this repo, but it is a great way to improve the existing state of tennis data.

Attention Please read, understand, and abide by the license below. It seems like a reasonable thing to ask, given the hundreds of hours I've put into amassing and maintaining this dataset. Unfortunately, a few bad apples have violated the license, and when people do that, it makes me considerably less motivated to continue updating.

Also, if you're using this for academic/research purposes (great!), take a minute and cite it properly. It's not that hard, it helps others find a useful resource, and let's face it, you should be doing it anyway.

License Creative Commons License Tennis databases, files, and algorithms by Jeff Sackmann / Tennis Abstract is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Based on a work at https://github.com/JeffSackmann.