Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This bar chart displays self-employed workers (% of total employment) by region using the aggregation average. The data is about regions.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Trinidad and Tobago's Concessional tariffs (simple average, all products) is 55.72% which is the 32nd highest in the world ranking. Transition graphs on Concessional tariffs (simple average, all products) in Trinidad and Tobago and comparison bar charts (USA vs. Japan vs. Trinidad and Tobago), (Bahrain vs. Estonia vs. Trinidad and Tobago) are used for easy understanding. Various data can be downloaded and output in csv format for use in EXCEL free of charge.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Explore detailed charts on Chad’s presidential election results, with percentage votes broken down by political parties across election years. Discover and analyze election trends, voter and political party shifts, and party performance through these charts to deepen your understanding of African elections and Chad democracy.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Dominica's Concessional tariffs (simple average, all products) is 58.73% which is the 11th highest in the world ranking. Transition graphs on Concessional tariffs (simple average, all products) in Dominica and comparison bar charts (USA vs. China vs. Japan vs. Dominica), (Antigua vs. Barbuda vs. Saint Kitts vs. Nevis vs. Dominica) are used for easy understanding. Various data can be downloaded and output in csv format for use in EXCEL free of charge.
The “All Activity Trend” shows the number of positive cases that were interviewed (bar graph) and the percentage of those interviewed who reported each select high to moderate exposure activity types (i.e. personal care, dining out, social-related activities, work, travel, gym/fitness, sports, and faith-related events) during their exposure period (trend lines) on a weekly basis.Note: Data subject to change on a daily basis. Data are restricted to positive cases with a completed contact tracing interview. Possible exposure data are collected during the contact tracing interview as self-reported activities occurring within the 2-week period before the date of symptom onset for symptomatic individuals or the date of test sample collection for asymptomatic individuals. Data collection methods were altered starting the week of Dec 11 for gym/fitness and sports, so should not be compared to previous values.* High to Moderate Exposure Activity Types are not exhaustive and include travel, personal care, faith events, work, dining out, social events, gym/fitness, and sports.Data is updated on a weekly basis.
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.
U.S. Government Workshttps://www.usa.gov/government-works
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Source: Behavioral Risk Factor Surveillance System (BRFSS), 2012 & 2014.
U.S. Government Workshttps://www.usa.gov/government-works
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Source for 2012 national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for 2012 state data: State Observational Survey of Seat Belt Use, 2012. Source for 2014 national data: National Highway Traffic Safety Administration's (NHTSA) National Occupant Protection Use Survey (NOPUS), 2014. Source for 2014 state data: National Highway Traffic Safety Administration's (NHTSA) State Observation of Seat Belt Use, 2014
This bar graph illustrates the percentage range of reduced meetings team owners and administrators of paid Slack teams have perceived in 2015, after having adopted Slack. Approximately ** percent of respondents said that they have experienced a reduction in meetings of ** to ** percent. Approximately ** percent said that they have not seen any reduction in meetings.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Explore detailed charts on guinea's presidential election results, with percentage votes broken down by political parties across election years. These visualizations provide essential insights into guinea's political and electoral landscape, supporting research for political scientists, students, historians, election observers, journalists, and civil society members. Discover and analyze election trends, voter and political party shifts, and party performance through these charts to deepen your understanding of African elections and guinea democracy.
This bar chart shows the percentage of Millennials (young people aged 18 to 34 years old) who posted a message or a picture on social media when doing a cultural activity in France in 2018. It displays that almost ** percent of responding Millennials declared that they often or systematically shared on social media while visiting a historical monument.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This bar chart displays self-employed workers (% of total employment) by ISO 2 country code using the aggregation average, weighted by population. The data is about countries.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This Python script visualizes data related to the brand value of the Indian Premier League (IPL), its constituent teams, and a comparison with other major football leagues. It uses matplotlib for creating the plots and numpy for numerical operations. The script generates four key visualizations:
IPL Brand Value Over Time: A line plot illustrating the growth of the IPL's brand value in billion dollars from 2009 to 2024. This chart shows the increasing financial strength and popularity of the league over the years.
Top 10 IPL Team Brand Values (2024): A bar chart displaying the brand values (in million dollars) of the top 10 IPL teams in 2024. This visualization allows for a comparison of the brand strength of different teams within the league. The numerical value of each bar is displayed on top of the bar.
Growth Rate of IPL Team Brand Values (2024): Another bar chart presenting the growth rates (in percentage) of the top 10 IPL teams' brand values in 2024. This plot highlights the teams with the highest growth potential and increasing popularity. The growth rate in percentage is displayed on top of the bar.
Comparison of IPL and Football League Brand Values: A bar chart comparing the brand values (in billion dollars) of the IPL (top 5 teams), Bundesliga, and English Premier League (EPL). This visualization contextualizes the IPL's financial strength in comparison to other prominent sports leagues worldwide.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This bar chart displays alternative and nuclear energy (% of total energy use) by region using the aggregation average. The data is about regions.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Explore detailed charts on gabon's presidential election results, with percentage votes broken down by political parties across election years. These visualizations provide essential insights into gabon's political and electoral landscape, supporting research for political scientists, students, historians, election observers, journalists, and civil society members. Discover and analyze election trends, voter and political party shifts, and party performance through these charts to deepen your understanding of African elections and gabon democracy.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows the areas of principal soil groups which are divided into 48 subgroups. Two graphs are included. One is a bar chart showing the principal soil groups and their distribution by provinces and territories. The other is a pie chart displaying the percentage areas of principal soil groups.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Antigua and Barbuda's Tariff rates (MFN, simple average, all products) is 9.91% which is the 66th highest in the world ranking. Transition graphs on Tariff rates (MFN, simple average, all products) in Antigua and Barbuda and comparison bar charts (USA vs. China vs. Japan vs. Antigua and Barbuda), (Seychelles vs. Cayman Islands vs. Antigua and Barbuda) are used for easy understanding. Various data can be downloaded and output in csv format for use in EXCEL free of charge.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate that shows six condensed maps of the distribution of plants producing the following: leather footwear, womens and childrens factory made clothing, synthetic textiles and silks, mens factory made clothing, cotton textiles, and rubber products. All data for these maps is for 1954 with the exception of the rubber products map which is for 1955. Each map is accompanied by a bar graph and pie chart. The bar graphs show the value of production by major categories of products. The pie charts show the percentage distribution of persons employed in each manufacturing industry by province.
This bar chart shows the percentage of French people trusting or not artificial intelligence in 2019. It reveals that nearly ** percent of respondents declared that they did not trust artificial intelligence.
This bar chart shows the percentage of French willing to move out from the city or not in order to live closer to nature. It appears that the majority of respondents stated that they would be ready to leave the city to be closer to nature. Thus, 34 percent of the surveyed would probably leave the city, while 23 percent declared they would sure move out from the city if they had the opportunity.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This bar chart displays self-employed workers (% of total employment) by region using the aggregation average. The data is about regions.