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

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

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

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

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You must have heard people communicating these kinds 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 dumped into a presentation slayed and in today's world with abundance

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of easy techniques to create charts.

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We are encountering more cases of random irrelevant data just dumped into charts without any message

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or relevant outcome.

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

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to point out that random data dumps from the impactful and meaningful graphs so let's start with our

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topic of communicating a message from a chart.

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We first need to assign a category to the message that we are going to communicate.

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Although several categories that we have and later on in this course we will learn how to choose the

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best chart type depending on the underlying 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.

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For example a chart may compare sales in each of the company's sales regions so we may want to compare

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these sales performance in the north region.

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What is this old region.

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Second is comparing data over time.

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For example a chart may display sales by months and indicate the trends over time.

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

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results.

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

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scenario.

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Fourth type of messages comparing data relationships.

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We may want to explore the relationship between two variables.

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A common example of relationship between variables is marketing expenditure vs. sales.

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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 comparisons.

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A common example of frequency comparison can be a histogram displaying how many students have scored

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between 80 200.

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How many of scored between 60 to 80 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 told a lot 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 mis recorded or miscalculated on having some issue with them.

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For example if you are man factoring tennis balls of certain radius you can plot the radius of all these

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

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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 next five seconds

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in the next lecture.

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We will look at different elements of charts so that we can start a journey of different chart types.