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Gallery: Comparative chart

15 unique examples
Showing visual types:Comparative chart Icon for removing this tag Icon for how to create this kind of visualisation

How to create your own

Create your own: comparative chart

  • Comparative charts are used to compare things such as performance, ranks, changes or characteristics. Basic comparative charts can be created in standard applications such as Excel using line graphs.

Circular connection graph

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Academic citations between journals (inner circle) and fields (outer journal)
Average rating: 5.1 (17 votes)
Visual types:

comparative chart

Credit rating chart

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Rank comparison diagram, comparing credit ratings of nations by different credit ratings agencies.
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Visual types:

comparative chart

Cross-Reference visualisation

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Textual cross references found in the Bible.
Average rating: 6.8 (5 votes)
Visual types:

comparative chart

Double conditioning-plot

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A conditioning plot with splines added. It allows the visualisation of a variable distribution conditional on the values of the relevant groups of interest.
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Double document shared word diagrams

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Double Document Shared Word Diagrams compare and contrast two documents by showing both the unique and shared vocabulary and its distribution across the two documents of interest. The two columns of squares represent the two documents. The leftmost column of word circles shows the highest frequency non-trivial words found in document 1 but not document 2. The rightmost column of word circles shows those words unique to 2 and the central column shows the words that are common to both.<br />You can also input your text and generate your own visualisation.
Average rating: 5.8 (4 votes)

Effect plot

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Effect plots work by identifying high-order terms in a generalised linear model, a statistical technique. Once these terms are identified fitted values are derived and plotted for the relevant groups.
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Interactions chart

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Interactive chart enabling users to explore interactions between ethnicity, gender, type of abuse and likelihood of being a victim of child abuse. Values can be displayed using bars, bubbles, colours and position on the chart.
Average rating: 3 (1 votes)

Interactive time series

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This visualisation offers some specialised information about a couple of economic indicators: cumulative percentage of change of some currencies against the dollar and the annualized percentage of change in exports. The information is displayed for six developing economies as a way to show the relationship between monetary policy (adopting floating currencies) and the change in the exports. It gives detailed information for each country in order to convey its message to a relatively specialized audience.
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Parallel Sets (ParSets)

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Parallel Sets is a technique for visualizing categorical data. It helps you get away from representing individual data points, and instead show sets and subsets of items with certain combinations of criteria.<br />This example illustrates the people on board the Titanic. In a way, ParSets is a mix between parallel coordinates and treemaps/mosaic plots.
Average rating: 3.8 (10 votes)

Profile diagram

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Visualisation used to show the relative position of research objects. In the example there are four brands rated for several dimensions in a survey.
Average rating: 10 (1 votes)

Rank comparison diagram

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Comparison of ranking of sectors in FTSE 100 between March 2007 and March 2009.
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Visual types:

table, comparative chart

Scatterplot matrices

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This is a lattice plot that displays scatter plots for three variables grouped in three clusters, in the example. Useful for a quick visualisation of the contingencies of the data set.
Average rating: 2 (1 votes)

Sieve plot

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Visualisation useful in the display of contingency tables. The rectangles are proportional to the expected counts for each combination.
Average rating: 4 (2 votes)

Ternary plot

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A type of scatterplot, this visualisation allows the representation of three variables. In the example, the plot presents the proportions of employment in the primary, secondary and tertiary sectors for 12 European countries in 1978, 1986 and 1997.
Average rating: 5 (2 votes)

Visualising surveys

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Comparison of what is important for people of different ethnic groups in making an area a good place to live.
Average rating: 8.1 (9 votes)