#datarepresentation

[visual-sculptors]

Understanding Information Visuals: The Role of Charts, Graphs, and Infographics in Data Representation

Categories of Information Visuals: Common Questions Answered

1. What are the primary categories of information visuals, and how do they differ in terms of data representation?

The primary categories of information visuals include charts (bar, line, pie), graphs (scatter plots, histograms), maps (heat maps, choropleth), and infographics. These differ in data representation: charts display trends or comparisons, graphs show relationships, maps visualize geographic data, and infographics combine text and visuals for storytelling, often summarizing complex information in an engaging format.

2. How can the choice of information visual category impact the effectiveness of data communication in a presentation?

The choice of information visual category—such as charts, graphs, or diagrams—affects clarity, engagement, and comprehension. Different visuals convey information differently; for example, bar charts emphasize comparisons, while line graphs show trends over time. Selecting the appropriate visual helps the audience grasp key insights quickly, making the communication more effective and enhancing retention of the information presented.

3. What roles do charts, graphs, and infographics play in the categorization of information visuals, and when is each type most appropriately used?

Charts, graphs, and infographics are tools for visualizing data. Charts, like bar or line graphs, are best for showing trends or comparisons. Graphs are ideal for displaying relationships between variables. Infographics combine text and visuals to present complex information clearly and engagingly, making them suitable for storytelling or summarizing data. Each serves a specific purpose based on the information's needs.

4. How can understanding the different categories of information visuals enhance a designer's ability to convey complex information clearly and effectively?

Understanding different categories of information visuals, such as charts, graphs, and infographics, helps designers choose the most appropriate format for the data. This enhances clarity by tailoring the visual to the type of information, making it easier for the audience to grasp complex concepts quickly. Effective visuals can improve engagement and retention of information.

5. What are some common challenges faced when selecting the appropriate category of information visual for a specific dataset, and how can these challenges be addressed?

Common challenges include understanding the dataset's nature, audience needs, and visual complexity. Misalignment can lead to misinterpretation. These challenges can be addressed by clearly defining the data's purpose, considering the audience's familiarity with visuals, and experimenting with different formats to find the most effective representation. Testing visuals with users can also provide valuable feedback.

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[cubittarchive-blog]

Out of Data Research Group

Out of Data Research Group  – comprised of Goldsmiths MFA Curating students Katie Yook, Ashley Janke and Johanna Hardt – is working with Cubitt Gallery into early 2018 to conceive an event based on research into Cubitt’s Archive, which dates back to 1991.

The collective investigates how an archive informs the identity of a cultural institution and explores possibilities and limits of visual data-representation means such as graphs and maps. In what way can data analysis be appropriated in a creative and critical way? How can it incorporate ideas of identity in flux?

Out of Data’s curatorial approach is situated in the socio-political by challenging the authority of objective data as ‘truth’ in relation to knowledge production. Through this approach, the collective questions numerical means of representation normally taken at face value.

[jennifercrouch]

An incomprehensible plot of some unrelated things..... #research #decimal #medicalilluminations #datarepresentation using #evidence, #visualisation and #statistical #thinking to improve #healthcare - #research

[fortinetguru]

LDAP servers - FortiAnalyzer - FortiOS 6.2.3

LDAP servers – FortiAnalyzer – FortiOS 6.2.3

LDAP servers

Lightweight Directory Access Protocol (LDAP) is an Internet protocol used to maintain authentication data that may include departments, people, groups of people, passwords, email addresses, and printers. LDAP consists of a datarepresentation scheme, a set of defined operations, and a request/response network.

If you have configured LDAP support and an administrator is required to…

[isaidyoithinkyoubettergo]

Yeah I'll show Irish election data for this project and use paper...that will be easy ....-_- #college #finalYear #IrishElection #DataRepresentation

[randomscameacross-blog]

How to make your graphs understandable?

* label the axis clearly * show the units of measurement in axis * select the ranges carefully * avoid too much information in one graph * show the title of the graph * add legends as necessary * choose colors to differentiate multiple curves in one graph * if colors are not allowed then choose dotted, dashed, solid lines to differentiate multiple lines in a graph * show grid lines when necessary * mark the origin clearly with values

[ideasthoughtsandeverythinge-blog]

3D modelling tutorial

https://www.youtube.com/watch?v=sHN1_GBwqcw 

[capturetheocean]

The human body is in data overload. credit: Jungyeon Roh/New York Times