Data Visualization Patterns
Scatter plot chart
Scatter plot helps to display values from 2 variables by using points
A scatter plot is a data visualization method that uses Cartesian coordinates to display the relationship between two variables. The information in the scatter plot is displayed with the use of points, where each point has one variable's value defining the position on the X-axis and other variable's value defining the position on the Y-axis.
Several types of correlation are known that can be interpreted using scatter plot patterns. They include: positive (values increase together), negative (if one value increases then the other value decreases), linear, null (no correlation), U-shaped, and exponential.
Several types of correlation are known that can be interpreted using scatter plot patterns. They include: positive (values increase together), negative (if one value increases then the other value decreases), linear, null (no correlation), U-shaped, and exponential.
Lines or curves are fitted within the graph to aid in the analysis and are drawn as close to all the points as possible and to show how all the points condensed into one line would look.
Lines or curves located within the graph to aid in the analysis, and drawn as close as possible to all points to display how all points were brought together in one line. This is usually called the line of best fit and is widely used for estimation using interpolation.
Scatterplots are perfect when you have combined numerical information and you need to check whether one variable affects the other.
Lines or curves located within the graph to aid in the analysis, and drawn as close as possible to all points to display how all points were brought together in one line. This is usually called the line of best fit and is widely used for estimation using interpolation.
Scatterplots are perfect when you have combined numerical information and you need to check whether one variable affects the other.
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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