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Datasets on Communal Perspectives of Violence and Safety
This dataset illustrates civilian perspectives of security, safety, trust and reliance on state versus non-state security actors in hotspot and fragile areas within Kenya. This dataset covers four counties (Mombasa, Lamu, Wajir, and Garissa), and is a vast data that captures underlying issues such a...
This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. :Rows 632391
This dataset illustrates civilian perspectives of security, safety, trust and reliance on state versus non-state security actors in hotspot and fragile areas within Kenya. This dataset covers four counties (Mombasa, Lamu, Wajir, and Garissa), and is a vast data that captures underlying issues such as identity and trust, which are exacerbated by the lack of awareness and language barrier between communities and state security forces. Non-state security actors, on the other hand, play an important role in areas that cannot be accessed by national police and other state security forces. This is why non-state security actors were created and supported by the Kenyan state, and it is important to mention that these groups were developed on traditional systems such as Local Peace Committees, and clan-elected community policing members to enhance peace and mitigate conflicts.
This data also sheds light on the relationship between the state and different ethnic communities in Kenya, as well as the role played by non-state security actors.
Data & Sons recently completed our analysis of top tier economics journal publications from 2014 to 2017. By collecting author, work affiliation, and graduate programs authors graduated from information we were able to summarize the number of top tier publication for each economist, each department, and the amount of research published by alumni for each economics Ph.D. Program. We summarized these findings in three datasets. Also provided are the individual publications data. Methodology and Results Summary are provided in documents.
Data & Sons recently completed our analysis of top tier economics journal publications from 2014 to 2017 and is pleased to announce the world’s best Economics Departments based on faculty research productivity. We found the best Economics Departments in 2018. The complete list of departments publication totals and all economics publications in the top five economics journals are included. Methodology and Top 20 ranking are available in Documents.
Data & Sons recently completed our analysis of top tier economics journal publications from 2014 to 2017 and is pleased to announce the world’s top Economics PhD Programs based on alumni productivity.
Data & Sons recently completed our analysis of top tier economics journal publications from 2014 to 2017 and is pleased to announce the world’s top economics professor for 2018 is Professor Daron Acemoglu of the Massachusetts Institute of Technology.
Looking to reach members of the media directly? This dataset contains the names, positions, media outlets, phone number, email, and address for over 2,000 of America's top journalists. The lists includes reporters, journalists, editors, publishers, and producers in print, online, academia, and TV. Find contact information for media members at the New York Times, Wall Street Journal, Bloomberg, CNBC, CNN, Politico, and Huffington Post amongst many others. Great list for public realtions, marketing, advocacy, and job seeking. List was developed in November, 2017
Overview
Game of Thrones is a hit fantasy tv show based on the equally famous book series "A Song of Fire and Ice" by George RR Martin. The show is well known for its vastly complicated political landscape, large number of characters, and its frequent character deaths.
Data Sources
This dataset combines three sources of data, all of which are based on information from the book series.
Firstly, there is battles.csv which contains Chris Albon's "The War of the Five Kings" Dataset, which can be found here:https://github.com/chrisalbon/war_of_the_five_kings_dataset . Its a great collection of all of the battles in the series.
Secondly we have character-deaths.csv from Erin Pierce and Ben Kahle. This dataset was created as a part of their Bayesian Survival Analysis which can be found here: http://allendowney.blogspot.com/2015/03/bayesian-survival-analysis-for-game-of.html
Finally we have a more comprehensive character dataset with character-predictions.csv. This comes from the team at A Song of Ice and Data who scraped it from http://awoiaf.westeros.org/ . It also includes their predictions on which character will die, the methodology of which can be found here: https://got.show/machine-learning-algorithm-predicts-death-game-of-thrones
What insights about the complicated political landscape of this fantasy world can you find in this data?
Of course, it goes without saying that this dataset contains spoilers ;)
Contributed by Myles O'Neill from Kaggle
One of the most ambitious, interesting, and just plain cool data collection projects I have seen. The Crowd Counting Consortium pubishes a monthly dataset of every know crowd, protest, or public gathering the US. the location, date, crowd estimate, organizer, and purpose of the protest is porivded. This ambitious project was undertaken by Jeremy Pressman and Erica Chenoweth. Monthly updates available at Crowd Counting Consortium.