Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book subjects. It has 2 rows and is filtered where the books is The statistical imagination : elementary statistics for the social sciences. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about books. It has 1 row and is filtered where the book is Social and behavioral statistics : a user-friendly approach. It features 7 columns including author, publication date, language, and book publisher.
The statistic shows the value of publisher sales of social science and humanities academic and professional books at net invoiced value in the United Kingdom (UK) from 2009 to 2019, broken down by format. The sales of physical social science and humanities books decreased overall during the period of consideration, reaching *** million British pounds in 2019.
This data package includes social data on the diversity and composition of people depicted in the text, photographs, and illustrations of the ecology textbook Ecology: The Economy of Nature (10th ed.) by Relyea (2025). The data were utilized in an article published in Frontiers in Ecology and the Environment, which explores the use of undergraduate textbooks as tools for building a diverse community of ecologists (Richards et al., 2025).
Relyea, R. (2025). Ecology: The Economy of Nature (10th ed.). W.H. Freeman. ISBN 9781319524838
Richards JH, Charton KT, McFarlane SL, Widell AF, Haddad NM, Wyer MB, Damschen EI (2025) Rethinking the undergraduate textbook as a tool to build a diverse community of ecologists. Frontiers in Ecology and the Environment 23(3), e2819, https://doi.org/10.1002/fee.2819.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Data from the Interactive Social Book Search Track Series 2014-2016
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about books. It has 35 rows and is filtered where the book subjects is Social sciences-Statistical methods-Data processing. It features 9 columns including author, publication date, language, and book publisher.
This statistic shows the results of a poll asking Italian book readers whether they were influenced by social media when picking a new book in 2019. According to the survey results, the largest percentage of influenced readers (69 percent) was reported among the heavy readers who read 12 or more books.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Many have noted the rise of the global in academic and popular discourse. We ask how this global frame of reference has been incorporated into secondary social science textbooks, a realm traditionally dominated by nationalist discourse. Utilizing a data set from more than 500 secondary school textbooks from around the world, spanning 1970–2008, we describe the incorporation of mentions of globalization and global citizenship into textbooks over time and then use a multilevel model to determine the textbook and country-level variables associated with mentions of each. We find that globalization and global citizenship are both predicted by the textbook content's reflection of the external world, including international events and mentions of human rights. However, no cross-national economic or political differences systematically predict incorporation of these topics. We argue that mentions of globalization and global citizenship in textbooks are two manifestations of a world culture that increasingly emphasizes interconnectedness in postnational society.
I wanted to find good data about representation and diversity in literature, which brought me to the following page of the Cooperative Children's Book Center (CCBC): https://ccbc.education.wisc.edu/literature-resources/ccbc-diversity-statistics/. The following is data on books by and about Black, Indigenous and People of Color published for children and teens compiled by the Cooperative Children’s Book Center, School of Education, University of Wisconsin-Madison.
There are two .csv files in the data set. One shows books received by the CCBC from US publishers per year that are authored and/or illustrated by a Black/African/Indigenous/Asian/Pacific Islander/Latinx person, and the other shows books received by the CCBC from US publishers per year that feature a BIPOC character. Further explanation can be found at the CCBC FAQ page.
Please note that for 2018 and 2019, the below .csv represent Asian/Pacific Islander people as one column, which is how the CCBC published the data between 2002-2017. Also note that the attached data are not the entire data collected by the CCBC. The CCBC also collects books from international publishers, and since 2018, the CCBC has been publishing data about books by/about Arabs.
All data was collected by the CCBC. Please see the following page (with the complete data) about how to cite the data in your publications/blogs/notebooks: https://ccbc.education.wisc.edu/literature-resources/ccbc-diversity-statistics/books-by-about-poc-fnn/.
I am curious to see what sorts of visualizations people can make in exploratory analysis of this data! Also, can you predict how many BIPOC books the CCBC will receive in 2020? What happens when you study against US population data?
In a survey conducted in Japan in January 2022, more than ** percent of young people belonging to Generation Z stated that they use Twitter the most among social media when it comes to gathering information on books. Twitter was followed by Instagram and YouTube.
https://www.icpsr.umich.edu/web/ICPSR/studies/9251/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/9251/terms
This collection presents in computer-readable form the data items used to produce the corresponding printed volume of the COUNTY AND CITY DATA BOOK, 1988. Included is a broad range of statistical information, made available by federal agencies and national associations, for counties, cities, and places. Information also is provided for the 50 states, the District of Columbia, and for the United States as a whole. The dataset is comprised of seven files: a county file, a city file, and a place file, with footnote files and data dictionaries for both the county and the city files. The county data file contains information on areas such as age, agriculture, banking, construction, crime, education, federal expenditures, personal income, population, and vital statistics. The city data file includes variables such as city government, climate, crime, housing, labor force and employment, manufactures, retail trade, and service industries. Included in the place data file are items on population and money income.
The Ministry of Educations' - Basic Education Statistical Booklet captures national statistics for the Education Sector in totality.
This dataset explores the no of textbook found at public and private primary schools by the core subjects of learning (Maths, English, Kiswahili, Social Studies and Science).
Source data Table 53 ; Public Primary Lower Class Text Books (Class 1-3) Table 54 : Public Primary Lower Class Text Book Ratios (Class 1-3) Table 55: Private Primary Lower Class Text Books (Class 1-3) Table 56: Private Primary Lower Class Text Book Ratios (Class 1-3) Table 57: Public Primary Upper Class Text Books (Class 4-8) Table 58: Public Primary Upper Class Text Book Ratios (Class 4-8) Table 59: Private Primary Upper Class Text Books (Class 4-8) Table 60: Private Primary Upper Class Text Book Ratios (Class 4-8)
Over ** percent of book-related social media posts on Facebook that were written by Ukrainians in the first seven months of 2020 were published as a feedback from readers. On YouTube, more than ** percent of videos featured quotations from books.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset complements the book by Gabriela Meier (University of Exeter, UK) and Simone Smala (University of Queensland, Australia):
Meier, G. & Smala, S. (2022). Languages and Social Cohesion: A Transdisciplinary Literature Review. Routledge. https://www.routledge.com/Languages-and-Social-Cohesion-A-Transdisciplinary-Literature-Review/Meier-Smala/p/book/9780367637200. Available from 26 July 2021.
The dataset of 285 references to peer-reviewed articles published in academic journals between 1992 and 2017 (identified systematically following the PRISMA protocol as is explained in the Chapter 3 of the book) is offered here as an EndNote Library to increase transparency and utility of the work we present, analyse and discuss in the book. It is designed to support researchers and other stakeholders to quickly and easily find literature related to themes and sub-themes, as well as by research design. The project described in the book had the aim to answer the question:
In what way are languages associated with social cohesion in academic articles?
As can be seen in the concluding chapter of the book (Chapter 5), this transdisciplinary literature review resulted in a transdisciplinary language and social cohesion framework, which is accompanied by user-friendly tools that can be used to explore the language-and-social cohesion constellation in diverse real-life contexts.
The EndNote Library available here presents the results of our systematic literature search and thematic analysis, which formed the basis of our analysis, discussion and interpretation of the data. In the EndNote Library, the articles are sorted by research design (qualitative, quantitative, and mixed method research, theory articles, case studies, practice reports and literature reviews). Importantly, the EndNote Library is also sorted by the main themes (see below) and respective sub-themes, which correspond to the themes discussed in the book.
Main themes in the book (headings used in the EndNote Library):
A: Social networks and access to resources through languages (social networks and resources) B: Norms related to languages and groups (ideological orientations) C: Languages and a sense of group belonging (belonging to groups) D: Manifestation of linguistic behaviour and social cohesion (practices in education/society) E: Formal language planning and social cohesion (policy and curricula)
This statistic shows the social media platforms used most often by book buyers in Canada in 2017. The findings show that Facebook was the most popular social media site among Canadian book buyers, with ** percent saying it was the platform they used most often, compared to ** percent who used Twitter most frequently.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
These files contain the publicly available data and syntax used to generate the results found in "Social Studies Textbook Effects: Evidence from Texas"
This statistic shows the results of a poll asking Italian book readers whether they were influenced by social media when picking a new book in 2019. According to the survey results, 71 percent of respondents aged between 25 and 34 years old were apparently influenced by information appeared on social media platforms or provided by book bloggers.
Replication Data for Developing Textbooks to Improve Math Learning in Primary Education: Empirical Evidence from El Salvador. Please refer to the data and software file first and then follow the instructions in the R code files.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Abstract This article explores the Twitter performances of four platforms that publish, aggregate, and disseminate open access academic books: Scientifi c Electronic Library Online-Livros, Directory of Open Access Books, Open Access Publishing in European Networks, and OpenEdition Books. We followed these institutions’ posts on Twitter between July 8 and 18, 2019, mapping their indicators. The objectivewas to evaluate whether the observed metrics of attention and influence could increase the circulation and reach of academic books in open access, contributing to their dissemination, discovery, and evaluation. To interpret the metrics generated on Twitter, we used the statistical tools Follor.me and TweetReach, which provide analytical reports that reveal each profile’s engagement, perceptions and its actual and potential reach. After verifying these metrics, we also investigated users’ experiences and the implications of the use, aimingto understand the range of possible reactions followers had regarding the content the platforms disclosed. The results showed that the posts aimed primarily at promotion and dissemination. Followers’ manifestations, in turn, reverberate the posts through replicas and responses, maximizing the effects of use, repercussion, and influence. While that does not attest to the quality of the content, it provides important indications about the readership, helping editors identify emerging themes and evaluate strategies for the dissemination of academic books in open access.
https://www.icpsr.umich.edu/web/ICPSR/studies/8439/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8439/terms
The Federal Judicial Center contracted with Claritas Corporation to produce the three data files in this collection from the Census Bureau's 1983 County and City Data Book. The data, which are summarized by judicial units, were compiled from a county-level file and include information on area and population, households, vital statistics, health, income, crime rates, housing, education, labor force, government finances, manufacturers, wholesale and retail trade, service industries, and agriculture.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book subjects. It has 2 rows and is filtered where the books is The statistical imagination : elementary statistics for the social sciences. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.