Counts of Part I committed in San Mateo County from 1985 on. This dataset also includes Part II crimes from 2013 on.

Part I crimes include: homicide, rape, robbery, aggravated assault, burglary, motor vehicle theft, larceny-theft, and arson. These counts include crimes committed at San Francisco International Airport (SFO), Unincorporated San Mateo County, Woodside, Portola Valley, San Carlos from 10/31/10 forward; Half Moon Bay from 6/12/11 forward; and Millbrae from 3/4/12 forward.

Part II crimes do not include San Francisco International Airport (SFO) cases and is an estimate only. An estimate is required because there are no specific data types used when keying in Type II crime types. Therefore, Records Manager judgment is used.

This bar chart displays ESG score (/ 100) by country using the aggregation average. The data is filtered where the sector is Information Technology. The data is about companies.

Use the Chart Viewer template to display bar charts, line charts, pie charts, histograms, and scatterplots to complement a map. Include multiple charts to view with a map or side by side with other charts for comparison. Up to three charts can be viewed side by side or stacked, but you can access and view all the charts that are authored in the map. Examples: Present a bar chart representing average property value by county for a given area. Compare charts based on multiple population statistics in your dataset. Display an interactive scatterplot based on two values in your dataset along with an essential set of map exploration tools. Data requirements The Chart Viewer template requires a map with at least one chart configured. Key app capabilities Multiple layout options - Choose Stack to display charts stacked with the map, or choose Side by side to display charts side by side with the map. Manage chart - Reorder, rename, or turn charts on and off in the app. Multiselect chart - Compare two charts in the panel at the same time. Bookmarks - Allow users to zoom and pan to a collection of preset extents that are saved in the map. Home, Zoom controls, Legend, Layer List, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

Vertical Bar Chart

## Overview

Vertical Bar Chart is a dataset for object detection tasks - it contains Figure Item X_axis Y_axis Legend annotations for 727 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

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.”

Figures in scientific publications are critically important because they often show the data supporting key findings. Our systematic review of research articles published in top physiology journals (n = 703) suggests that, as scientists, we urgently need to change our practices for presenting continuous data in small sample size studies. Papers rarely included scatterplots, box plots, and histograms that allow readers to critically evaluate continuous data. Most papers presented continuous data in bar and line graphs. This is problematic, as many different data distributions can lead to the same bar or line graph. The full data may suggest different conclusions from the summary statistics. We recommend training investigators in data presentation, encouraging a more complete presentation of data, and changing journal editorial policies. Investigators can quickly make univariate scatterplots for small sample size studies using our Excel templates.

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.

PMF & Histogram data for CActd/CActd and MA/CActd complexes- md_pull.mdp Gromacs' molecular dynamics parameters for pulling process of complexes, used for generating starting configurations for the umbrella sampling windows. These windows are used to obtain histograms of COM separations which are used to calculate the potential of mean force for each of the complexes by the weighted histogram method (WHAM).- distPull-MACA.xvg Table of distance (nm) vs time (ps) for the pulling process of the MA/CActd complex- distPull-CACA.xvg Table of distance (nm) vs time (ps) for the pulling process of the CActd/CActd complex- histoMACA.xvg Table of histograms (count) vs COM separation (nm) from umbrella sampling of the MA/CActd complex- histoCACA.xvg Table of histograms (count) vs COM separation (nm) from umbrella sampling of the CActd/CActd complex- PMF_MA_CActd.txt Table of potential of mean force (kcal/mol) vs COM separation (nm) for the MA/CActd complex.- PMF_CActd_CActd.txt Table of potential of mean force (kcal/mol) vs COM separation (nm) for the CActd/CActd complex.

Raw gaze, interview and other data from 50 secondary school students (grade 10 - 12) solving statical graph tasks: estimating or comparing the mean from histograms, case-value plots, (stacked) dotplots and horizontal histograms. It contains some processed data. Furthermore, it contains all relevant information needed to reproduce or replicate this data collection process, for example, the design of the data collection, html-files with the webpages that were used, letters to participants, sizes and screen shots of AOIs, heatmaps and static gazeplots. Also: transcripts, legends, overview of tasks. (Note, these data are not processed for a specific article)

This bar chart displays companies by employee type using the aggregation count. The data is filtered where the sector is Information Technology. The data is about companies.

This bar chart displays LinkedIn followers (followers) by company using the aggregation sum. The data is filtered where the sector is Information Technology. The data is about companies.

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.

Dataset

This dataset was created by Pranjal Pandey

Contents

The County of San Mateo subscribes to Nextdoor, a social networking site based on where participants live: https://nextdoor.com/. This data shows participation in Nextdoor by area, posts, categories and date. No post content is shared in this dataset.

The global Bar Graph Array market, valued at $156 million in 2025, is projected to experience robust growth, driven by increasing demand across diverse applications. The Compound Annual Growth Rate (CAGR) of 8.5% from 2025 to 2033 indicates significant expansion potential. Key application segments include traffic indication, switch indication, and safety indication, reflecting the critical role of bar graph arrays in conveying visual information in various industries. The prevalence of bright red, high-performance green, high-performance yellow, super lime green, and super lime yellow types underscores the importance of color accuracy and visibility in different operational contexts. Market growth is further fueled by advancements in LED technology, enhancing brightness, energy efficiency, and lifespan. This leads to wider adoption across automotive, industrial automation, and consumer electronics sectors. Geographic growth is expected to be particularly strong in rapidly developing economies in Asia-Pacific and other regions, driven by increasing infrastructure development and industrialization. While specific restraining factors are not provided, potential challenges could include competition from alternative display technologies and fluctuations in raw material costs. However, continuous innovation in display technology and increasing demand for user-friendly interfaces are anticipated to offset these challenges. Established players like Broadcom, London Electronics Limited, and others are expected to lead the market, while smaller companies focusing on niche applications are likely to further drive innovation and competition. The market's success hinges on consistent technological improvements that enhance both the performance and cost-effectiveness of bar graph arrays. The ongoing development of more energy-efficient and brighter LEDs, alongside miniaturization efforts, will continue to drive adoption across diverse industries and geographical regions. This positive trajectory is expected to significantly impact the growth of the global market through the forecast period. The integration of bar graph arrays into sophisticated systems demanding high reliability and precise visual feedback will also contribute to the growth and ongoing demand.

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.

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.

The dataset includes demographic information setting forth the number of filings made by business entities with the Department of State’s Division of Corporations. Such filings are categorized by type and filer.

Summary data of each city's contribution to reduction measures of greenhouse gas emissions in the County.

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

This bar chart displays employees (people) by Instagram link using the aggregation sum. The data is filtered where the sector is Information Technology. The data is about companies.