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So you’ve decided to illustrate your blog post, report or presentation with some cool looking data visualizations. You’ve searched for relevant data, poured them into a spreadsheet and now you want to turn them into good looking and — more importantly — understandable charts and graphs. But which chart type to choose? Pie chart, bar chart, line chart or scatter plot? PurposeIt starts with a simple question: what is the purpose of your chart? Which aspect of your story do you aim to illustrate with your chart? In essence, there are 6 guiding principles that can steer data visualization:
Let’s look at each of them and see how these principles can help you create better charts and graphs. 1. ComparisonYou want to compare one set of values with another. A comparison tries to set one set of variables apart from another, and display how those variables interact, like the number of visitors to five competing websites in a certain period of time. These 4 chart types can best achieve this: Column chart Bar chart Line chart Two-axis chart 2. CompositionYou want to show how various parts of the data comprise the whole. A composition tries to collect different types of information that make up a whole and display them together in one chart. These 4 chart types can best achieve this: Pie or donut chart Stacked column chart Stacked area chart Waterfall chart 3. DistributionYou want to show the distribution of a set of values. A distribution tries to lay out a collection of related or unrelated information in order to find out how it correlates, if at all, and to understand if there’s any interaction between the variables. For instance in order to detect the outliers or to define normal ranges. These 4 chart types can best achieve this: Column chart Scatter plot Line chart Two-axis chart 4. DeviationYou want to show which values deviate from the norm. This is a variation of 1. Comparison, but aims to highlight the outliers or problem areas that need special attention. These 4 chart types can best achieve this: Column
chart Bar chart Line chart Area chart 5. RelationshipYou want to show the relationship between series of variables. This is again a variation of 1. Comparison, but takes the comparison one big step further in aiming to show the direct correlation (relationship) between the compared variables. These 3 chart types can best achieve this: Scatter plot Bubble
chart Two-axis chart 6. TrendYou want to understand the trend over time of some data variables. You will need to plot the time line on the X-axis. These 4 chart types can best achieve this: Line chart Column chart Scatter plot Area chart A simple chart type selectorI think this is a fairly concise overview of data visualization purposes and of the most often used chart types related to those purposes. I hope this overview will be of help to those who venture into the rich world of data visualization. To make life easier, we have created this chart type selector tool which will quickly guide you towards the most appropriate chart types for your story. Happy chartling! Disclaimer: all chart examples shown in this post were created with Chartlr, except the Scatter plot, Bubble chart and Two-axis chart. Originally published at blog.chartlr.com. What type of graph is best for showing a relationship between two variables?The most useful graph for displaying the relationship between two quantitative variables is a scatterplot. Many research projects are correlational studies because they investigate the relationships that may exist between variables.
Which chart type the best visual display of the relationship between two numeric variables?Slope Graphs. The most used graph for visualizing the relationship between two numeric variables is the scatter plot.
Which chart type provides the best visual display of the relationship between two numeric variables box and whisker chart radar chart combo chart XY scatter chart?A scatter plot displays values on two numeric variables using points positioned on two axes: one for each variable. Scatter plots are a versatile demonstration of the relationship between the plotted variables—whether that correlation is strong or weak, positive or negative, linear or non-linear.
Which chart type provides the best visual display of the relationship in Excel?Scatter charts show the relationships among the numeric values in several data series, or plot two groups of numbers as one series of xy coordinates. Scatter charts are typically used for displaying and comparing numeric values, such as scientific, statistical, and engineering data.
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