These data are based on the latest Veteran Population Projection Model, VetPop2020, provided by the National Center for Veterans Statistics and Analysis, published in 2023.

confirmation bias can cause people to overweigh information that confirms their beliefs

This deposit includes the data that was collected in an experimental study on debunking strategies for misleading bar charts, involving 2 surveys (one week delay) with a total of 24 unique bar charts each with two bars, filled in by 441 representative (age, ethnicity, gender) participants from the USA. De experiment compares four methods for correcting misleading bar charts with truncated vertical axes by measuring the participants evaluated difference between the bars at five time points. Measures were taken on a visual analogue scale. The first survey also included a short graph literacy scale and a question on highest completed educational level. Date Submitted: 2022-06-24

Emergency Medical Service ambulance dispatch incidents in Marin County, CA, for the period beginning March 1, 2013 through June 30, 2017. Data is updated quarterly. Data includes time stamps of events for each dispatch, nature of injury, and location of injury. Data also includes geocoding of most incident locations, however, specific street address locations are "obfuscated" and are generally shown within a block and are not, therefore, exact locations. Geocoding results are also based on the quality of the address information provided, and should therefore not be considered 100% accurate.

Some of the data may be interpreted incorrectly without adequate knowledge of the clinical context. Please contact EMS@marincounty.org if you have any questions about the interpretation of fields in this dataset.

Animal shelter data

This dataset contains data about the highest grade completed by residents of San Mateo County by city. Grade levels include less than high school graduate, high school graduate, some college or associate's degree, and bachelor's degree or higher. This data was extracted from the United States Cenus Bureau's American Community Survey 2014 5 year estimates.

This dataset contains raw response data to a nano-survey that was conducted in Indonesia and Kenya on the demand for open financial data. You can read more about the project here: (http://bit.ly/OpenDemand). A nano-survey is an innovative technology that extends a brief survey to a random sampling of internet users. Note: "NA" indicates "No Answer."

The dataset includes 15 visual diagrams (pie and bar charts) comparing the distribution of agricultural residues, OFMSW, and used cooking oil across each state in Nigeria, province in South Africa, and county in Kenya. These summaries provide a comparative overview of regional feedstock strengths. The charts complement quantitative analyses by providing visual summaries of feedstock availability.

This data set is intended to communicate the name of establishment, the physical location of the establishment, the date the inspection was conducted, the overall score for the inspection, and the point deduction for the individual violations.

Disclaimer: The inspection data represents a specific period in time. It does not represent the ownership of the establishment or the full history of the establishment.

Ceramic building material quantification data by context type for Table 5.2 and Illus. 5.18 and Illus. 5.19.

Data DescriptionThe layers on this map contain population, employed labour force counts, private dwelling counts, and employment counts at Census Subdivision and Census Tract geographies from the 2006, 2011, and 2016 Census. The definition of each variable is described next:Population counts: the total population aggregated from different ages in each census tract.Employment counts: the number of labour force aged 15 years and over having an usual work place or working at home at places of work in each census tract, excluding workers with a non-fixed place-of-work.Employed labour force counts: the number of employed labour force aged 15 years and over having a usual work place or working at home at places of residence in each census tract including workers with a non-fixed place-of-work.Private dwellings count: the number of households aggregated from different types of dwellings in each census tract.Note: Population counts are from long census survey forms, covering 25% of the population. The other three variables are from short census survey forms, covering 100% population.Note about the Legend: the Employment and Population values are normalized by Quantiles. Each colour has the same number of features and will not necessarily represent the same values in different layers.InstructionsZoom in and out of the map to update the bar charts. Use the Select Tool to select specific geographies to display on the bar chart.“Select by rectangle” allows you to draw a rectangle and select multiple geography to view in the chart.“Select by point” allows you select an area by clicking on its geography."Add Data" allows you add separate public data as need from ArcGIS Online, URL (an ArcGIS Server Web Service, a WMS OGC Web Service, a KML file, a GeoRSS file, a CSV file), and local files (shapefile, csv, kml, gpx, geojson)Project lead: A.MaruicioDevelopers: C.Riccardo, W.Huang, D.Robbin

DVQA is a synthetic question-answering dataset on images of bar-charts.

This dataset includes information for projects that appear on the City of Austin’s Capital Improvement Visualization Information and Communication (CIVIC) Map Viewer, www.austintexas.gov/GIS/civic. These projects, also known as Capital Improvements Program (CIP) projects, implement the construction, replacement, or renovation of city assets that are useful to the community. Data is currently available for most CIP projects funded in full or in part by voter-approved bond programs from 2010 and 2012. The dataset below is subject to change at any time, and does not represent a comprehensive list of capital improvement projects. For more information about the City of Austin’s Capital Improvement Program, please visit www.austintexas.gov/department/civic. The City of Austin has produced CIVIC, a web application to search Capital Improvement Projects, for informational purposes only. The data and information available at this web site is provided "As is", and "As Available" and without any warranties of any kind either express or implied. The City makes no warranty regarding the accuracy or completeness of this site and the information provided. By accessing or using CIVIC, you agree to these terms of use. The City of Austin may change the terms of use at any time at its sole discretion and without notice.”

This bar chart shows the percentage of French people trusting or not statistics in 2019. It reveals that more than half of respondents declared that they rather trusted statistics.

Details of Motor Vehicle Collisions in New York City provided by the Police Department (NYPD).

Norway Exports of aluminum bars, rods and profiles to Argentina was US$3.61 Thousand during 2019, according to the United Nations COMTRADE database on international trade. Norway Exports of aluminum bars, rods and profiles to Argentina - data, historical chart and statistics - was last updated on June of 2025.

The TPI Productivity Lab Quarterly Data ToolThe TPI Productivity Lab Quarterly Data Tool is a tool that can be utilised to rapidly create visualisations for national-level quarterly data. Countries available to visualise within the tool include the UK, the US, France, Germany, Italy, Spain, Ireland, Denmark, Netherlands, Norway, Poland, Romania and Sweden. Aggregate data is available for European Union countries reflecting country membership at the time of selection (e.g. 15 countries in 2000, 24 in 2004, 27 in 2024). Furthermore, it includes an aggregate for the Euro Zone, representing the 20 countries that use the Euro as their official currency.The tool provides customisation options, including the selection of quarterly or yearly data, specific time periods, productivity measures, and countries. For quarterly data, different visualisations can be generated including 2D line graphs, 3D line graphs, Quarter-on-Quarter bar charts and Year-on-Year bar charts. Visualisations can be saved in PNG format by clicking the camera icon located in the top right-hand corner of the displayed visualisation.The data sources and methodology document describes all the methodology and data sources used in the tool.See the data tool here (https://lab.productivity.ac.uk/tools/international-quarterly/) TPI Quarterly Data ToolSee the blog associated with the data tool: Comparing Productivity Across Borders: Introducing the TPI Quarterly Data Tool - The Productivity Institute

Data used for the bar charts in Fig. 3B, 3C and S1A

Data by city showing energy contribution to greenhouse gas emissions in the County. This data is part of the Regionally Integrated Climate Action Planning Suite (RICAPS) program.

Each city in San Mateo County has the opportunity to develop its own Climate Action Plan (CAP) using tools developed by C/CAG in conjunction with DNV KEMA https://www.dnvgl.com/ and Hara. http://www.verisae.com/default.aspx. This project was funded by grants from the Bay Area Air Quality Management District (BAAQMD) and Pacific Gas and Electric Company (PG&E). Climate Action Plans developed from these tools will meet BAAQMD's California Environmental Quality Act (CEQA) guidelines for a Qualified Greenhouse Gas Reduction Strategy.

For more information, please see the RICAPS site: http://www.smcenergywatch.com/progress_report.html

Germany Exports of aluminum bars, rods and profiles to Barbados was US$12.98 Thousand during 2022, according to the United Nations COMTRADE database on international trade. Germany Exports of aluminum bars, rods and profiles to Barbados - data, historical chart and statistics - was last updated on July of 2025.