The data is visualized to show complicated information in graphic forms. They are designed to easily compare data and tell stories using it, and they can be expressed in various forms according to the information structure.
Using charts, it is possible to express data of various types and sizes from several data points to large-scale multivariate data sets.
Chart
Comparisons
The guidelines for utilization cases are provided by adopting eight types with high PPT utilization among various types of charts.
Bar
Line Chart
Pie
Area
Scatter
Radar
Tree Map
Geospatial Maps
Bar
Bar charts provide a way to display data values shown with vertical bars.
They also are used to display the comparison between trend data and various data sets side by side.
They also are used to display the comparison between trend data and various data sets side by side.
Bar Chart 01
Bar charts are useful for organizing several data series and presenting trends following time.
Bar Chart 02
Lines are used together sometimes for better understanding of graphs.
Line Chart
Line charts are graphs which connect individual data points showing quantitative values for a specified time interval using lines.
They are used to show trend data or compare two or more data information.
They are used to show trend data or compare two or more data information.
Line Chart 01
Broken line charts are useful for presenting charts containing several data series and trends following time.
Line Chart 02
Multiple broken line charts show the relation between the independent and dependent values in multiple data sets.
Pie
Pie and doughnut charts are good for showing the relationship ratios between data.
The arcs of each segment show the proportional values of each piece of data.
The arcs of each segment show the proportional values of each piece of data.
Pie Chart
In a pie chart, the length of the arc (the central angle and area) of each piece is proportional to the amount represented by the piece.
Donut Chart
Doughnut charts are used to display proportions of categorical data, in which the size of each piece represents the proportion of each category.
Area
An area chart shows how the numeric values of one or more groups change according to progression of the second variable (generally the order of time) through combining a line chart and a bar chart.
Area charts are distinguished from line charts by adding a shade between a line and a baseline like bar charts.
Area charts are distinguished from line charts by adding a shade between a line and a baseline like bar charts.
Area Graph 01
Area charts are useful for emphasizing the change size following time.
Area Graph 02
Cumulative area charts also are used to show the relationship of parts to the whole.
Scatter
Scatter graphs show values for two different numeric variables using points.
The position of each point on the horizontal and vertical axes show the value of an individual data point.
Scatter graphs are used to observe the relationship between variables.
The position of each point on the horizontal and vertical axes show the value of an individual data point.
Scatter graphs are used to observe the relationship between variables.
Scatter Chart 01
Using a scatter graph, the correlation between the horizontal and vertical axis can be found.
Scatter Chart 02
Using a scatter graph, the correlation between multiple measurement values can be found.
Radar
A radar chart is a way to show several data points and changes among them. Radar charts are useful for comparing points of different data sets.
Radar Chart 01
Radar Chart 02
Radar Chart 03
Radar charts are convenient to stack various measurement targets together and compare them, and to intuitively figure out not only the proportion between each item, but also the balance and trend.
Tree Map
Tree maps are ideal for showing a large amount of hierarchical (tree structure) data.
The space of visualization is divided into rectangles whose size and order have been specified by quantitative variables.
The space of visualization is divided into rectangles whose size and order have been specified by quantitative variables.
Tree Map 01
Tree Map 02
In the visualization of a tree map, the largest rectangle is placed in the top left corner and the smallest in the bottom right corner.
Geospatial Map
Geospatial maps analyze spatial locations and visualize information layers using maps and 3D scenes.
Geospatial maps are frameworks which collect, manage, and analyze geospatial data or ground data.