A file that holds the master records for all online training courses nominated for reimbursement.

China Number of Graduate: Postgraduate: Master Degree data was reported at 927.629 Person th in 2023. This records an increase from the previous number of 779.845 Person th for 2022. China Number of Graduate: Postgraduate: Master Degree data is updated yearly, averaging 334.613 Person th from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 927.629 Person th in 2023 and a record low of 38.051 Person th in 1998. China Number of Graduate: Postgraduate: Master Degree data remains active status in CEIC and is reported by Ministry of Education. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GD: No of Graduate: Higher Education: By Region.

Raw data for the manuscript entitled: European Agrifood and Forestry Education for a Sustainable Future - Gap Analysis from an Informatics Approach Abstract Purpose: To evaluate how well European agrifood and forestry Masters program websites use vocabulary associated with the NextFood Project ‘categories of skills’. Methodology: Web-scraping Python scripts were used to collect texts from European Masters programs websites, which were then analysed using statistical tools including Partial Least Squares Regression and contextual relation analysis. A total of fourteen countries, twenty-seven universities, 1303 European Masters programs, 3305 web-pages and almost two million words were studied using this approach. Findings: While agrifood and forestry Masters programs used vocabulary from the NextFood Project ‘categories of skills’ in most cases equal to or more often than non-agrifood and forestry Masters programs, we found evidence for the relative underuse of words associated with networking skills, with least use among agriculture-related Masters programs. Practical Implications: The informatic approach provides evidence that European agrifood and forestry Masters programs are for the most part following the educational paths for meeting future challenges as outlined by the NextFood Project, with the possible exception of networking skills. Theoretical Implications: This text-based, informatic approach complements the more targeted approaches taken by the NextFood Project in studying the skilling-pathways, which involved focus-group interviews, surveys of stakeholders, interviews of individuals with expert-knowledge and literature reviews. Originality: A text-based, web-scraping informatic approach has thus far been limited in the study of agrifood and forestry higher education, especially relative to recent advances made in the social sciences.

OVERVIEW

1. Title of Dataset: Arthralgia in female Master weightlifters

2. Author Information

Name: Marianne Huebner Institution: Michigan State University Address: East Lansing, MI 48824

1. Period of data collection: 27 April – 20 May 2022

2. Geographic region of data collection: Online survey in USA with participants from 30 countries in IWF regions Africa, Asia, Europe, Oceania, PanAmerican

LIST OF FILES

Dataset: wlmeno_oa.csv Data dictionary: wlmeno_oa_meta.xlsx

METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: The survey was distributed by the Master Committee of the International Weightlifting Federation (IWF) to the National Master Chairs. They then used email or social media to communicate the study to the women weightlifters. The Survey was available in four languages (English, German, French, Spanish), translated and tested by native speakers. In addition, the survey was advertised in weightlifting interest groups via Facebook and Instagram. The survey was administered online via Qualtrics (Provo, UT, USA).

2. Methods for processing the data: Data were downloaded from Qualtrics (Provo, UT, USA) to Excel and then pre-processed in the statistical software R v. 4.3.0. (https://www.r-project.org)

   Variable formats (numeric, character) were checked and transformed, as appropriate.

3. Quality-assurance procedures performed on the data: Exclusion criteria were younger than 30 years (n=1), currently pregnant (n=3). To account for the possibility of male participants missing responses to age of menstruation or prior pregnancies (n=22), were also excluded. Since the focus was on active weightlifters, missing best snatch or clean and jerk in the last 6 months (n=18) were also exclusion criteria. This resulted in an analysis data set of 868 females. Univariate distributions were evaluated numerically and graphically.

DATA-SPECIFIC INFORMATION

1.Number of variables: 51

2.Number of cases/rows: 868

3.Variable List: wlmeno_oa.xlsx

4.Missing data codes: empty cells

According to an online survey conducted in February 2025 in the United States, ********* of LinkedIn users held a bachelor degree or equivalent. Additionally, ** percent of LinkedIn users in the U.S. held a masters degree or equivalent.

ABSTRACT The health care model based on the Family Health Strategy, created in the early 1990s, encouraged changes in health education, highlighting the need to create lato and stricto sensu postgraduate courses aimed at empowering professionals that foster comprehensive health care. Periodic evaluations are carried out and encouraged by Capes/MEC in order to maintain the quality of postgraduate courses, but evaluations of recently-introduced professional master’s degree courses in family health remain scarce. Objectives To describe the academic profile, contribution, motivations and expectations of graduates of a Professional Master’s in Family Health. Method Cross-sectional and quantitative study to analyze the results of 102 questionnaires answered by graduates of the Professional Master’s Degree in Family Health of the Estácio de Sá University (RJ), who had concluded the course between 2007 and 2012. The instrument consisted of open-ended and closed-ended questions, sent by e-mail and made available online through the electronic platform Survey Monkey. The study evaluated age, gender, regional origin, academic background, as well as the contributions, expectations and motivations related to the course. Results The survey sample was formed predominantly by female graduates, aged over 30, from 13 Brazilian states and, mainly from Medicine and Nursing courses. The contribution of the master’s degree to the graduate’s professional life was evaluated as excellent by 77% of the interviewees. The expectations regarding the course were positively evaluated and the main reasons for seeking the qualification were scientific-technical improvement and personal satisfaction, rather than better salaries or job stability. Conclusion The course was evaluated positively by the graduates, having exceeded their expectations and satisfied the interests that led them to it, thus producing changes to their personal and professional life. A longitudinal analysis of the impact of the professional master’s degree in the career of graduates will require a sequence of similar studies, as has been stimulated by Capes/MEC in recent years.

This data collection contains energy commodity production statistics for approximately 200 United Nations reporting countries for the years 1970-1979. In this file, each record refers to an individual reporting country and the quantity of its various transactions (e.g., production, imports, exports, bunkers, additions to stocks, and capacity) for a given energy commodity in a given year. Only annual data are included. The 70 types of commodities reported include solid fuels (e.g., coal, peat, and charcoal), liquid fuels (e.g., crude petroleum, gasoline, and kerosene), gases, uranium, and both industrial and public types of geothermal, hydro, and nuclear generated electricity. Information is also included on the population (in thousands) of the reporting country, the quantity of the commodity per transaction, and the date of the transaction. Supplementary data not contained in this data collection are in the introduction and footnotes of the individual tables published in the YEARBOOK OF WORLD ENERGY STATISTICS, 1979.

Abstract The aim of this paper is to understand students’ experience of research methodology teaching, through a survey with students enrolled in the Master’s Degree Program in Information Management, Libraries and Archives at the Complutense University of Madrid. The analyzed themes included the students’ perception of collaborative work, influence of emotions, implications of research competencies at the professional level, and the role of supervisors. Twenty-six master’s students, both online and on-site, were surveyed among those enrolled in the academic years 2014-2015 and 2013-2014. Results show the need to foster collaborative work with individual work in a balanced way. Furthermore, emotions, especially positive ones, appear to intertwine heavily with the learning experience. It is more difficult to appreciate the implications of research competencies for the professional sphere because of differences in the professional context of all students involved. The activities that students perceive as more creative include discussions of one’s own work (especially with the supervisor) as well as discussions of other students’ work (attendance at Master Thesis Defenses). Finally, supervisors stand out as important figure during the learning of research methodology, as their area of expertise is particularly relevant.

The global massive open online course (MOOC) market size is calculated to advance at a CAGR of 32% through 2034, which is set to increase its market value from US$ 13.2 billion in 2024 to US$ 212.7 billion by the end of 2034.

Report Attribute	Detail
MOOC Market Size (2024E)	US$ 13.2 Billion
Projected Market Value (2034F)	US$ 212.7 Billion
Global Market Growth Rate (2024 to 2034)	32% CAGR
China Market Value (2034F)	US$ 23.3 Billion
Japan Market Growth Rate (2024 to 2034)	32.6% CAGR
North America Market Share (2024E)	23.9%
East Asia Market Value (2034F)	US$ 49.1 Billion
Key Companies Profiled	Alison; Coursera Inc; edX Inc; Federica.EU; FutureLearn; Instructure; Intellipaat; iverity; Jigsaw Academy; Kadenze.

Country Wise Insights

Attribute	United States
Market Value (2024E)	US$ 1.4 Billion
Growth Rate (2024 to 2034)	32.5% CAGR
Projected Value (2034F)	US$ 23.6 Billion

Attribute	China
Market Value (2024E)	US$ 1.5 Billion
Growth Rate (2024 to 2034)	32% CAGR
Projected Value (2034F)	US$ 23.3 Billion

Category-wise Insights

Attribute	xMOOC
Segment Value (2024E)	US$ 9.3 Billion
Growth Rate (2024 to 2034)	30.8% CAGR
Projected Value (2034F)	US$ 136.1 Billion

Attribute	Degree & Master Programs
Segment Value (2024E)	US$ 6.4 Billion
Growth Rate (2024 to 2034)	30.2% CAGR
Projected Value (2034F)	US$ 89.3 Billion

Table View of Master_OP_EXP - Budgets and Actuals from FY 2016, 2017, 2018, 2019, and FYTD 2020. This View is the data source for Expense Dashboards. Update Schedule: Once per Month.

Descriptive statistics-aggregate data.

THIS DATASET IS FINAL AND NO FURTHER UPDATES ARE EXPECTED. This is a report for all the relevant columns of FEMA Individual Assistance Program- amount obligated and disbursed down by program, county and municipality.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

In 2023, around *** million students were enrolled in master's and doctor's degree programs at colleges and universities in China. This figure increased steadily in recent years. Besides these graduate and postgraduate students, around ***** million undergraduate students were enrolled at colleges and universities in China in 2023.

Current grant and loan content for Washington Water & Salmon Fund Finder.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Context

The kernel aims to extract data from Wikipedia's list of countries by category, and visualize it. The database itself, contains a HUGE amount of analyzed data at different categories, waiting anxiously for someone to present them elegantly ( 😏 ), and compare the trends between the different countries.

               <img src="https://github.com/Daniboy370/Machine-Learning/blob/master/Misc/Animation/VID-out-Wiki.gif?raw=true" width="550">

Content

The list contains 143 analyses of countries with respect to a specific criterion. Practically, I will refer to several criteria that I found interesting, however the reader is free to add as much as he pleases :

Criterion	File
GDP per capita	df_{GDP}
Population growth	df_{Pop-Growth}
Life expectancy	df_{Life-exp}
Median age	df_{Med-age}
Meat consumption	df_{Meat-cons}
Sex-ratio	df_{GDP}
Suicide rate	df_{Suicide}
Urbanization	df_{Urban}
Fertility rate	df_{Fertile}

The well processed data should be able to provide such a visualization ( for example ) :

                      <img src="https://github.com/Daniboy370/Uploads/blob/master/Kaggle-Dataset-Wiki.gif?raw=true" width="600">

Pipeline

Choose criterion >> Extract data >> Examine & Clean >> Convert to dataframe >> Visualize :

                      <img src="https://github.com/Daniboy370/Uploads/blob/master/VID-Globe.gif?raw=true" width="400">

\[ \text{Enjoy !}\]

THIS DATASET IS FINAL AND NO FURTHER UPDATES ARE EXPECTED. This is a report for all the relevant columns of DOT Local Aid - The Amount Allocated, Obligated and Paid broken down by federal agency, program, site, route, location, county, and municipality. It also includes description of repair being done.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Addresses of buildings, businesses, parks, and open spaces in the City of Cambridge. This dataset contains the complete list of addresses in Cambridge, along with each address's geospatial coordinates and relevant administrative boundaries (e.g., Census block, polling district, public safety area). The dataset does not include individual apartment units.The dataset is sourced from Cambridge's master address and GIS databases. Shapefiles for this data and other Cambridge geospatial data can be found on on the City's GIS Data Dictionary at https://www.cambridgema.gov/GIS/gisdatadictionary

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

Dataset analyzed in the "Postgraduate education among family and community physicians in Brazil: the Trajetórias MFC project" manuscript.

File "family_physicians" has personally identifiable data on family and community physicians in Brazil, more specifically on their specialization (medical residency, specialist certification) and their master's and PhD degrees. File "postgraduate_programs" has data on the master's and PhD programs the family and community physicians graduated from.

All spreadsheets are in the CSV (comma-separated values) format, delmited with semicolons and encoded in UTF-8 (there are special characters due to the Portuguese language) with the byte-order mark (BOM). The spreadsheets can be opened with desktop or Web application software (LibreOffice Calc, Microsoft Excel, Google Sheets) or with statistical software such as R. Each dataset is accompanied with a data dictionary for interpreting the columns. See also the manuscript for background.

This data set illustrates three issues relating to water pollution across the globe. Suspended solids, freshwater pollution, and dissolved oxygen concentration are these issues. A value of -1 means that no data was available. http://www.nationmaster.com/graph/env_wat_sus_sol-environment-water-suspended-solids http://www.nationmaster.com/graph/env_wat_fre_pol-environment-water-freshwater-pollution http://www.nationmaster.com/graph/env_wat_dis_oxy_con-environment-water-dissolved-oxygen-concentration September 17, 2007

According to a survey of CMOs from higher education institutions in the United States, their mean marketing budgets for masters programs devoted specifically to digital advertising reached *** thousand U.S. dollars in 2021. At the same time, the same education level saw linear/traditional media advertising budgets of *** thousand dollars.