Research Guides: Research Conference Help (URC &amp; GRC): Finding &amp; Presenting Data

Research Data Services Librarian

Patricia Condon

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603-862-1524

Business Librarian

Wendy Pothier

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Subjects: Business & Economics, Career Information

Primary Data

Presenting your data visually

Ten simple rules for better figures
Instead we aim to provide a basic set of rules to improve figure design and to explain some of the common pitfalls.

Choosing the right visual representation

The chart chooser
For quantitative data, this infographic helps guide selection of chart options.
The data visualisation catalogue
Project developed to create a library of different information visualisation types.
The data viz project
This is a website trying to present all relevant data visualizations, so you can find the right visualization and get inspired how to make them.
Qualitative chart chooser 3.0
In the new version, it was important for us to incorporate (1) the overall nature of the data, which drives the kind of story you can tell, (2) account for whether, in your analysis, you want to quantify the qualitative data or keep it purely qualitative, and (3) whether you want to highlight a word/phrase or display some kind of thematic analysis.

Using color effectively

What to consider when choosing colors for data visualization
Sometimes colors just make the shapes visible, sometimes they encode data or categories themselves.

Avoiding bias or misleading visuals

How to spot a misleading graph (TED-Ed)
When they’re used well, graphs can help us intuitively grasp complex data. But as visual software has enabled more usage of graphs throughout all media, it has also made them easier to use in a careless or dishonest way — and as it turns out, there are plenty of ways graphs can mislead and outright manipulate.
Misleading graph
In statistics, a misleading graph, also known as a distorted graph, is a graph that misrepresents data, constituting a misuse of statistics and with the result that an incorrect conclusion may be derived from it.

Secondary Data

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Selected sources for finding secondary data:

UNH Library Research Databases Library Databases of Statistics, Polls, Data

Government Data Sources https://www.data.gov

Graphs & Charts / Visualizations Statista (via UNH Library)

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Examples of visualized secondary data from Statista:

Kaiser Family Foundation. (February 26, 2021). Percentage of U.S. adults who would get vaccinated against COVID-19 if a FDA approved vaccine is available for free December 2020 to February 2021 [Graph]. In Statista. Retrieved March 30, 2021, from https://www-statista-com.unh.idm.oclc.org/statistics/1200296/covid-vaccination-willingness-among-us-adults/

Source: https://www-statista-com.unh.idm.oclc.org/chart/23833/covid-19-vaccination-doses-per-100-people/