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We usually create charts to make a point or communicate a specific message.

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Sometimes we need charts just to provide a visual support for our claims.

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For example, you will find people seeing the sales are increasing at 10 percent along with the budget,

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or that the jobs in this industry are exploding while using charts to compare different fields.

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You must have heard people communicating these kind of messages using charts.

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The important point here is that there should be a message from your chart without a message.

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Your chart will just be a picture dump into a presentation slide.

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And in today's world, with abundance of easy techniques to create charts, we are encountering more

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cases of random, irrelevant data just dumped into the charts without any message or relevant outcome.

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After completing this course, I'm sure that you will be able to avoid such instances and will be able

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to point out random data dumps from the impactful and meaningful graphs.

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So let's start with our topic of communicating a message from a attack we first need to assign a category

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to the message that we are going to communicate out of several categories that we have.

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And later on in this course, we will learn how to choose the best type, depending on the underlying

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message category.

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So let's look at these categories first.

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The first category is when we want to compare one item to another item, for example, a chart may compare

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sales in each of the companies sales regions.

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So we may want to compare the sales performance in the north region versus this old region, second

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is comparing data over time.

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For example, a chart may display sales by month and indicate the trend over time.

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Stories making relative comparisons, an example of this is a common pie chart, which we see during

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election results.

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The pie charts display the percentage of votes or the seats won by the different parties in the election

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scenario, the type of messages comparing data relationships.

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We may want to explore the relationship between two variables a common example of a relationship between

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variables marketing, expenditure versus sales.

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So you may want to see if increasing the marketing expenditure is increasing your sales or not.

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The fifth category is frequency convergence, a common example of frequency comparison can be a histogram

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displaying how many students have scored between 80 to 100, how many have scored between 60 to 80,

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and how many of them have scored below 60.

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The last category that we are going to talk about is identifying outliers and unusual situations.

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If you have thousands of data points, creating a chart may help identify those data points which are

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not representative.

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That is data points which are recorded or miscalculated or having some issue with them.

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For example, if you are manufacturing tennis balls of certain radius, you can plot the radius of all

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the manufactured balls over a chart to easily find all the only manufactured balls which are having

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different dimensions.

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I hope with this you will be able to assign your message to one of these categories.

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Take some time to identify the last chart that you drew in your job and try to assign the message that

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you communicated in that chart into one of these categories.

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Think about it for the next five seconds.

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In the next lecture, we will look at different elements of charts so that we can start a journey of

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different types.