Data Visualization Patterns
Polar charts
A polar chart used to plot cyclical info like hourly traffic to a website or the average monthly temperature, etc
The Polar chart is the data visualization type that is great for showing multivariate researches with an arbitrary number of variables as a two-dimensional diagram. A polar chart was made to sort out and present information in a manner the audience can easily interpret and take action on.
Designed by Florence Nightingale, a polar chart was first intended to show the extent of needless deaths in military hospitals of Great Britain during the Crimean War (1953-56).
It looks like a standard pie chart, with the exception of sectors that have equal angles and differ more in how far every sector extends from the center of the circle.
Each colored wedge's area, which is measured from the center, is proportional to the represented statistics.
It looks like a standard pie chart, with the exception of sectors that have equal angles and differ more in how far every sector extends from the center of the circle.
Each colored wedge's area, which is measured from the center, is proportional to the represented statistics.
Bullet chart is a bar chart with extended options and serves as an alternative to meters and gauges
Candlesticks chart mostly used in a trading sphere to visualize and analyze the price movements
Cohort chart visualizes a group of subjects or users who share a common characteristic over time
Correlation chart represents the table that indicates the correlation coefficients between different sets of variables
Distribution plot is intended to compare the range and distribution for groups of numerical information
Hexagonal binning is an alternative technique to visualize distributions when working with large sets of data
Matrix chart can be utilized as a management planning tool to examine and show the connection between sets of information
Polar chart is great to plot cyclical information like hourly traffic to a website or the average monthly temperature, etc
Prediction matrix helps to build and test sophisticated predictions
Production chart as Gantt is a popular type of bar chart that displays a list of tasks or activities against time
Radar chart helps to compare multiple quantitative variables
Roadmap chart helps to indicate outcomes (metrics that reflect business achievements)
Sankey chart shows the flow and the relationships between two different elements
Scatter plot helps to display values from 2 variables by using points
Sunburst chart helps to visualize hierarchical data
Timeline chart displays a list of events in chronological order
Treemap chart is a space-efficient and more compact method for showing hierarchies
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