This bar chart displays depth (cm) by acquisition year using the aggregation sum. The data is about artworks.

This project contains slides illustrating: 1. Why bar graphs should not be used for continuous data 2. How to replace bar graphs with more informative graphics 3. Free resources for creating better graphics The notes for each slide include a detailed script. Investigators can use these slides for personal education or for training sessions. Our companion Flipbook (https://osf.io/h2q7w/) contains R code to make the different types of graphs shown in the slides.

Open data bar graph depicting lead service line replacements by month & year.

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

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching 149 zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than 394 zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just two percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of 19.2 percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached 6.7 zettabytes.

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

Between 1879 and 1910, most of modern-day Bosnia and Herzegovina (then known as Hercegovina) was a part of the Austro-Hungarian Empire. The data has been shown in a bar graph as the intervals are inconsistent, however from looking at the data we can see that the population grew gradually over this 31 year period, from 1.16 million people in 1879 to 1.90 million in 1910. Perhaps the most surprising thing in the graph is the disparity between the ratio of men to women. From 1885 to 1910 there is almost 100 thousand more men than women in Bosnia Hercegovina, although it is not clear whether this is an error in the data collection process, or a natural abnormality.

This dataset was developed within an analysis of research data generated and managed within the University of Bologna, with respect to the differences and commonalities between disciplines and potential challenges for institutional data support services and infrastructures. We are primarily mapping the type (e.g., image), content (e.g., scan of a manuscript) and format (e.g., .tiff) of managed data, thus sustaining the value of FAIR data as granular resources.

This dataset was used to produce land cover change analyses for Figures 3.6 (A & B) and Figures 3.7 (A &B) as part of a master's thesis titled- Repeatable methods for classification of alien and native vegetation in the Montane grasslands (2024).Twenty-four data entries are included: 11 non-hidden Markov model (HMM) GeoTIFFs; 11 hidden Markov model post-processed GeoTIFFs; r script containing pre-HMM analysis of land cover change illustrated using river plots and bar graph; and r script containing post-HMM analysis of land cover change displayed via river plots and bar graph. This dataset combines pre-HMM and HMM post-processed analyses from 1990 until 2020 to depict and quantify land lover changes between different land cover classes (i.e. aliens, NVF, grassland, mixed woody grassland, and forest) using river plots and bar graphs. Thus it produces Figures 3.6A & 3.7A (pre-HMM analyses), and Figures 3.6B & 3.7B (HMM post-processed analyses) in the above-mentioned thesis. Date of data collection: February 2020Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo

The global precipitation time series provides time series charts showing observations of daily precipitation as well as accumulated precipitation compared to normal accumulated amounts for various stations around the world. These charts are created for different scales of time (30, 90, 365 days). Each station has a graphic that contains two charts. The first chart in the graphic is a time series in the format of a line graph, representing accumulated precipitation for each day in the time series compared to the accumulated normal amount of precipitation. The second chart is a bar graph displaying actual daily precipitation. The total accumulation and surplus or deficit amounts are displayed as text on the charts representing the entire time scale, in both inches and millimeters. The graphics are updated daily and the graphics reflect the updated observations and accumulated precipitation amounts including the latest daily data available. The available graphics are rotated, meaning that only the most recently created graphics are available. Previously made graphics are not archived.

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

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

This application generates ice coverage bar graphs and data tables for the selected region and given dates.

This bar graph shows the load capacity of ships scrapped in Asia from 2006 to 2009. In 2008, the capacity of ships scrapped totalled 12.3 million metric tons.

United States - Producer Price Index by Commodity for Metals and Metal Products: Cold Finished Steel Bars and Bar Shapes, Stainless (DISCONTINUED) was 96.20000 Index Dec 2010=100 in December of 2017, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity for Metals and Metal Products: Cold Finished Steel Bars and Bar Shapes, Stainless (DISCONTINUED) reached a record high of 103.80000 in July of 2014 and a record low of 79.80000 in January of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity for Metals and Metal Products: Cold Finished Steel Bars and Bar Shapes, Stainless (DISCONTINUED) - last updated from the United States Federal Reserve on March of 2025.

This bar graph shows a distribution of brands proposed by E. Leclerc Drive in France in the third quarter of 2018, by type. That year, national brands accounted for more than 70 percent of the of the brands offered by E. Leclerc Drive.

This bar graph illustrates the number of establishments operating in activities of travel agencies (NAF rev.2 subclass 79.11Z) in France between 2007 and 2017. We can read that the number of establishments decreased from almost 5,200 in 2007 to around 4,600 for the year 2017.

The original imaging data and bar graph data for PCR in the study.

United States - Producer Price Index by Industry: Fabricated Structural Metal Manufacturing: Fabricated Structural Metal Bar Joists and Concrete Reinforcing Bars was 309.10700 Index Jun 1982=100 in January of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Fabricated Structural Metal Manufacturing: Fabricated Structural Metal Bar Joists and Concrete Reinforcing Bars reached a record high of 370.29500 in January of 2024 and a record low of 28.40000 in January of 1965. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Fabricated Structural Metal Manufacturing: Fabricated Structural Metal Bar Joists and Concrete Reinforcing Bars - last updated from the United States Federal Reserve on March of 2025.

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