A chart, also called a graph, is a graphical representation of data, in which “the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart”. A chart can represent tabular numeric data, functions or some kinds of qualitative structure and provides different info.
A graph or graphic representation, is a type of representation of data, usually numerical, using graphic resources (lines, vectors, surfaces or symbols), to visually manifest the mathematical relationship or statistical correlation they have with each other. It is also the name of a set of points that are expressed in Cartesian coordinates and serve to analyze the behavior of a process or a set of elements or signs that allow the interpretation of a phenomenon. The graphic representation allows to establish values that have not been obtained experimentally but through interpolation (reading between points) and extrapolation (values outside the experimental range).
The term “chart” as a graphical representation of data has multiple meanings:
A data chart is a type of diagram or graph, that organizes and represents a set of numerical or qualitative data.
Maps that are adorned with extra information for a specific purpose are often known as charts, such as a nautical chart or aeronautical chart, typically spread over several map sheets.
Other domain specific constructs are sometimes called charts, such as the chord chart in music notation or a record chart for album popularity.
Charts are often used to ease understanding of large quantities of data and the relationships between parts of the data. Charts can usually be read more quickly than the raw data. They are used in a wide variety of fields, and can be created by hand or by computer using a charting application. Certain types of charts are more useful for presenting a given data set than others. For example, data that presents percentages in different groups are often displayed in a pie chart, but may be more easily understood when presented in a horizontal bar chart. On the other hand, data that represents numbers that change over a period of time might be best shown as a line chart.
A chart can take a large variety of forms, however there are common features that provide the chart with its ability to extract meaning from data.
Typically the data in a chart is represented graphically, since humans are generally able to infer meaning from pictures quicker than from text. Text is generally used only to annotate the data.
One of the most important uses of text in a graph is the title. A graph’s title usually appears above the main graphic and provides a succinct description of what the data in the graph refers to.
Dimensions in the data are often displayed on axes. If a horizontal and a vertical axis are used, they are usually referred to as the x-axis and y-axis respectively. Each axis will have a scale, denoted by periodic graduations and usually accompanied by numerical or categorical indications. Each axis will typically also have a label displayed outside or beside it, briefly describing the dimension represented. If the scale is numerical, the label will often be suffixed with the unit of that scale in parentheses. For example, “Distance traveled (m)” is a typical x-axis label and would mean that the distance traveled, in units of meters, is related to the horizontal position of the data within the chart.
Within the graph a grid of lines may appear to aid in the visual alignment of data. The grid can be enhanced by visually emphasizing the lines at regular or significant graduations. The emphasized lines are then called major grid lines and the remainder are minor grid lines.
The data of a chart can appear in all manner of formats, and may include individual textual labels describing the datum associated with the indicated position in the chart. The data may appear as dots or shapes, connected or unconnected, and in any combination of colors and patterns. Inferences or points of interest can be overlaid directly on the graph to further aid information extraction.
When the data appearing in a chart contains multiple variables, the chart may include a legend (also known as a key). A legend contains a list of the variables appearing in the chart and an example of their appearance. This information allows the data from each variable to be identified in the chart.
Types of charts:
Common charts:
Four of the most common charts are:
Histogram:
A histogram consists of tabular frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to the frequency of the observations in the interval; first introduced by Karl Pearson.
Bar chart:
A bar chart is a chart with rectangular bars with lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally. The first known bar charts are usually attributed to Nicole Oresme, Joseph Priestley, and William Playfair.
Pie chart:
A pie chart shows percentage values as a slice of a pie; first introduced by William Playfair.
Line chart:
A line chart is a two-dimensional scatterplot of ordered observations where the observations are connected following their order. The first known line charts are usually credited to Francis Hauksbee, Nicolaus Samuel Cruquius, Johann Heinrich Lambert and William Playfair.
Other common charts are:
Timeline chart, Organizational chart, Tree chart, Flow chart, Area chart, Cartogram, Pedigree chart
Examples of less common charts are:
Bubble chart:
A bubble chart is a two-dimensional scatterplot where a third variable is represented by the size of the points.
Polar area diagram:
A polar area diagram, sometimes called a Coxcomb chart, is an enhanced form of pie chart developed by Florence Nightingale.
Waterfall chart:
A waterfall chart also known as a “Walk” chart, is a special type of floating-column chart.
Radar chart:
A radar chart or “spider chart” or “doi” is a two-dimensional chart of three or more quantitative variables represented on axes starting from the same point.
Tree map:
A tree map where the areas of the rectangles correspond to values. Other dimensions can be represented with colour or hue.
Streamgraph:
A streamgraph, a stacked, curvilinear area graph displaced around a central axis
GapChart:
A GapChart, a time series chart showing evolving gaps and equalities between series. Other dimensions can be represented with colour or hue.
Some types of charts have specific uses in a certain field:
Open-high-low-close chart:
Stock market prices are often depicted with an open-high-low-close chart with a traditional bar chart of volume at the bottom.
Candlestick chart:
Candlestick charts are another type of bar chart used to describe price movements of an equity over time.
Kagi chart:
A Kagi chart is a time-independent stock tracking chart that attempts to minimise noise.
Sparkline:
Alternatively, where less detail is required, and chart size is paramount, a Sparkline may be used.
Interest rates, temperatures, etc., at the close of the period are plotted with a line chart.
Project planners use a Gantt chart to show the timing of tasks as they occur over time.
Some of the better-known named charts are:
Gantt chart:
An Allele chart is a chart originating from the study of genetics to show the interaction of two data points in a grid.
A Gantt chart helps in scheduling complex projects.
Nolan chart:
The Nolan chart and the Pournelle chart classify political philosophies according to two axes of variation.
PERT chart:
A PERT chart is often used in project management.
Smith chart:
The Smith chart serves in radio electronics.
There are dozens of other types of charts. Here are some of them: Control chart, Greninger chart, Heatmap, Natal chart, Nomogram, Pareto chart, Run chart, Strip chart, Structure chart, Vowel chart
Common plots: Box plot, Dot plot (statistics), Probability plot, Scatterplot, Biplot
Chart software:
While charts can be drawn by hand, computer software is often used to automatically produce a chart based on entered data. For examples of commonly used software tools, see List of charting software.
Source From Wikipedia