For each graph, a clear and detailed legend is required. Depending on the format, graphs may have the following elements: a figure number, (2) a caption (not a title), (3) a headnote, (4) a data field, (5) axes and scales, (6) symbols, (7) legends, and (8) a credit or source line. A legend should always be placed below the graph with each element labeled.
A legend should not repeat the labels used for the other elements of the graph. If it does, then it has failed to serve its purpose. Avoid using abbreviations in legended items; say instead what the item is and why it is significant. For example, rather than saying "EIA", explain that this is the name of an organization that produces energy information reports.
Items in a legend that are not related to each other should be separated by commas. For example, the three types of graphs in the following picture would each have their own separate legend:
One way to make sure that your legend is clear and concise is to answer these questions: What is being shown in the graph? Why is it important? What other things could be included in the graph?
Overall, a good legend will help readers understand the data presented in the graph while providing additional information about the content within it.
A graph's legend represents the data presented on the graph's Y-axis, commonly known as the graph series. This is data from the columns of the associated grid report that often indicates metrics. A graph legend is often shown as a box to the right or left of your graph. It usually contains four items: a label for the series, an indicator for whether the series is increasing or decreasing, an identifier for the company that produced the data, and sometimes a statistical calculation such as "up from last year."
Do not confuse a graph's legend with the axis labels you may see listed in the upper-right corner of a chart. Those are called title blocks and they contain information about the variables used in creating the chart. A graph's legend is always contained within the border of the plot area and it describes different series found within the grid report corresponding to the chart.
The term "legend" also refers to the entire section containing all the series information for a chart. You can manipulate this section via the API or through other code by using the ChartDataService class.
For example, let's say you have a line chart that shows sales revenue over time.
A caption, axes and scales, symbols, and a data field should always be included in graphs. Plotting symbols must be clear, readable, and create strong contrast between the foreground and background figures. They should not overlap or cover up other elements on the page.
The data field should include a title for the point being made by the graph, along with any relevant labels for the axes.
The type of graph should be stated in the caption. Bar charts, pie charts, line graphs, and scatter plots are all acceptable. Avoid using more than one type of graph in one picture; it can become confusing for readers.
Chart legends are explanatory notes that appear outside the chart area (but within the graphic itself), providing information about what is shown in the image. They can help readers understand the relationship between different parts of the picture. Labels should not repeat information contained in the legend unless this helps to clarify things for readers.
Graphs are useful tools for presenting data, but they can also be used to make interesting pictures. Keep an eye out for ways you can use graphs as illustrations in your writing, and don't be afraid to experiment!
Graphs and charts are visual representations of data relationships that are meant to make the data easier to grasp and recall. Graphs and charts are frequently used to depict trends, patterns, and connections between collections of data. The types of graphs and charts available for use in reporting systems include bar graphs, line graphs, pie charts, and scatter plots.
Bar graphs display one variable on the horizontal axis and another variable on the vertical axis. They show the relationship between two variables by arranging groups of data into columns with different heights. Each group represents a single category or value of one variable. Categories can be categorized by time (e.g., monthly sales figures) or by something else (e.g., gender). Values can be measured continuously (e.g., dollar amounts) or categorically (e.g., male/female). Bar graphs are often used when there is no need to display information about multiple values. For example, if you were creating a graph showing sales figures over time, a bar graph would be appropriate because you only want to see one figure on the horizontal axis at a time.
Line graphs display two variables on the same axis. One variable is represented by a series of points connected by a line. The other variable varies according to where it is placed on the graph.
Graphs are a wonderful approach to create a visual representation of collected data. The graph, however, will be meaningless without proper labeling. As a result, label the x- and y-axes and title your graph so that others may understand it without having to ask what it depicts.
Graphs are a popular way to visually depict data connections. A graph's objective is to convey data that is too many or complex to be fully expressed in words and in less space. However, do not use graphs for little quantities of data that may be expressed in a phrase. For example, if you were to use a graph to show how many times each word appears in the dictionary, the result would be meaningless.
A graph can be used instead of or as well as words to explain relationships between two items. For example, one could describe the relationship between body temperature and heat loss from the human body by using both a graph and appropriate words. The heat lost through radiation, convection, and evaporation could be represented by different colors on a body temperature vs time graph. Similarly, one could use a graph to show the effects of various drugs on blood pressure over time. The results of an experiment could also be illustrated by means of a graph. For example, one could plot the weight gained by rats during feeding experiments against the amount of food consumed. This would illustrate whether the animals preferred more to less food as they got fatter.
Graphs are useful tools for presenting information because they help to reduce ambiguity about connections between items. For example, one could use a graph to show the effects of different doses of aspirin on the reduction of pain after surgery.