An area chart is based on a line chart, but with the area between the line and the x-axis shaded or colored to illustrate volume.…

Continue reading

A correspondence analysis is the standard tool for creating brand maps. It shows which brands compete with which other brands and the basis for that…

Continue reading

Popular amongst researchers is the importance vs. performance scatterplot. This is where you have a series of items that you place in a grid, where…

Continue reading

Snake plot is the term used to describe a line chart on its side. So rather than the lines running left-right (x-axis) they run up-down…

Continue reading

Most market researchers know the pain of having to hunt through huge numbers of crosstabs to find the interesting ones. In my younger days (shhh…),…

Continue reading

Want to save a heap of time narrowing down thousands of crosstabs to just the ones you need? This post describes which buttons to push…

Continue reading

Modern tools for analyzing conjoint analysis, such as hierarchical Bayes, produce rich data showing preferences for each person in a market. The main deliverable from…

Continue reading

Indifference curves are a way of showing relative preferences for quantities of two things (e.g., preferences for price versus delivery times for fast food). This…

Continue reading

While choice-based conjoint analysis represents one of the more sophisticated techniques used in market research, presentation of its results commonly consists only of a simulator,…

Continue reading

Box plots are a tidy way to illustrate statistical properties of a set of numeric data. A box plot will typically show you the median…

Continue reading

Q understands how important visualizing data can be in finding and communicating the story you want to tell with your data. Q has a selection…

Continue reading

Histograms may look like bar charts, but they plot data in an entirely different way. While bar charts depict the frequency of occurrences, or averages,…

Continue reading

Heatmaps are a powerful visualization for depicting the distribution of data. Unlike traditional charts, like bar charts or pie charts, heatmaps are represented by matrices.…

Continue reading

A density plot is a smoothed histogram. Like the histogram, they are used to visualize the distribution of numeric values. A smoothing algorithm is applied…

Continue reading

The most standard way for graphically representing categorical data is with a column chart. The advantage of using column charts is that you can easily…

Continue reading

Geographic map visualizations are a great way to show comparative values across countries, states, or regions. The geographic map shades the color of leach location…

Continue reading

One of the most basic and widely used visualizations is the pie chart which has been around since 1801! Pie charts are very effective when…

Continue reading

Radar charts are a great way to visualize two-dimensional data and show differences in sub-groups. I'll show you an easy way to create them in Q.

Continue reading

A streamgraph is a type of stacked area chart. It is modified so that the streams are centered around the y-axis and often has a…

Continue reading

The data In this post I use a table of the following Pick Any – Grid. Correspondence analysis To create a correspondence analysis plot in…

Continue reading

A time series graph allows viewers to explore sequences of data ordered by time. By zooming in or out, time series can be explored on…

Continue reading

Palm trees are useful for visualizing multivariate data. They are particularly good at decomposing performance or scoring data. In such a case, the frond (leaf)…

Continue reading

There a two different methods of creating a bar chart in Q - using the built in chart options or R visualizations. I'll show you both.

Continue reading

A Pyramid chart is a bar chart where the bars grow out from the center, rather than from the left or right. Pyramid charts are…

Continue reading