Data for generating a bar chart on feedback counts by category for Type AI.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
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.
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.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
This bar chart displays companies by revenue type and is filtered where the industry is Diversified Telecommunication Services. The data is about companies.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
The Department of Public Safety and Correctional Services (DPSCS) submits these data to the Governor's Office each month for each of Maryland's prisons and jails. This dataset shows totals across those facilities: population totals, contraband seizures, searches, assaults, hearing officer reports, disciplinary action, identification document issuance, and IWIF statistics. Statistical analyses and data formatting are performed by Department of Information Technology (DoIT).
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
This bar chart displays companies by employee type using the aggregation count and is filtered where the industry is Diversified Telecommunication Services. The data is about companies.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
This horizontal bar chart displays revenues ($) by employee type using the aggregation sum and is filtered where the country is Japan. The data is about companies.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
In this project, we aimed to map the visualisation design space of visualisation embedded in right-to-left (RTL) scripts. We aimed to expand our knowledge of visualisation design beyond the dominance of research based on left-to-right (LTR) scripts. Through this project, we identify common design practices regarding the chart structure, the text, and the source. We also identify ambiguity, particularly regarding the axis position and direction, suggesting that the community may benefit from unified standards similar to those found on web design for RTL scripts. To achieve this goal, we curated a dataset that covered 128 visualisations found in Arabic news media and coded these visualisations based on the chart composition (e.g., chart type, x-axis direction, y-axis position, legend position, interaction, embellishment type), text (e.g., availability of text, availability of caption, annotation type), and source (source position, attribution to designer, ownership of the visualisation design). Links are also provided to the articles and the visualisations. This dataset is limited for stand-alone visualisations, whether they were single-panelled or included small multiples. We also did not consider infographics in this project, nor any visualisation that did not have an identifiable chart type (e.g., bar chart, line chart). The attached documents also include some graphs from our analysis of the dataset provided, where we illustrate common design patterns and their popularity within our sample.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
This horizontal bar chart displays companies by revenue type and is filtered where the industry is Diversified Telecommunication Services. The data is about companies.
The PERM Sponsorship Trends linear chart visualizes the number of PERM cases filed by Inspire Nail Bar And from 2020 to 2023, highlighting the company’s long-term sponsorship patterns. The horizontal bar chart titled Distribution of Job Fields Receiving PERM Sponsorship further categorizes sponsored roles by job type.
The PERM Sponsorship Trends linear chart visualizes the number of PERM cases filed by Pombal Bar Restaurant Dba Madrid Lisboa from 2020 to 2023, highlighting the company’s long-term sponsorship patterns. The horizontal bar chart titled Distribution of Job Fields Receiving PERM Sponsorship further categorizes sponsored roles by job type.
This bar chart presents a ranking of the most worn jewelry types in France in a survey from January 2019. It appears that the most worn type of jewelry in France were rings, with more than 60 percent of respondents mentioning this type of jewels, compared to 57 percent for necklaces.
This bar chart shows the types of motorization of French cars in 2018. It shows that, in this survey, 57 percent of respondents had a car running on diesel.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
This horizontal bar chart displays companies by employee type and is filtered where the country is Mauritania. The data is about companies.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Crude oil trading charts are graphical representations of the price movements of crude oil over a specific period of time, providing valuable information for traders and investors. Learn how different types of charts, such as line charts, bar charts, and candlestick charts, are used to identify patterns and make informed trading decisions. Discover how technical indicators enhance analysis, and where to access customizable real-time charts. Explore the power of crude oil trading charts in analyzing market t
The PERM Sponsorship Trends linear chart visualizes the number of PERM cases filed by The Black Sheep Kitchen Bar from 2020 to 2023, highlighting the company’s long-term sponsorship patterns. The horizontal bar chart titled Distribution of Job Fields Receiving PERM Sponsorship further categorizes sponsored roles by job type.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This bar chart displays net energy imports (% of energy use) by democracy type and is filtered where the region is Eastern Asia. The data is about countries.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This bar chart displays urban population (people) by democracy type and is filtered where the region is Middle Africa. The data is about countries.
This bar chart presents the market shares of various types of tires distributed by sales channel in France in 2017. That year, specialized traders held more than 60 percent of the van tire sales.
The PERM Sponsorship Trends linear chart visualizes the number of PERM cases filed by Studio Pokebar from 2020 to 2023, highlighting the company’s long-term sponsorship patterns. The horizontal bar chart titled Distribution of Job Fields Receiving PERM Sponsorship further categorizes sponsored roles by job type.
Data for generating a bar chart on feedback counts by category for Type AI.