We usually create charts to make a point or communicate a specific message.
Sometimes we need jobs just to provide a visual support for our claims.
For example you will find people seeing these sales are increasing at 10 percent along with a budget
or that the jobs in an index industry are exploding while using charts to compare different fields.
You must have heard people communicating these kinds of messages using charts.
The important point here is that there should be a message from your chart without a message.
Your chart will just be a picture dumped into a presentation slayed and in today's world with abundance
of easy techniques to create charts.
We are encountering more cases of random irrelevant data just dumped into charts without any message
or relevant outcome.
After completing this course I'm sure that you will be able to avoid such instances and we'll be able
to point out that random data dumps from the impactful and meaningful graphs so let's start with our
topic of communicating a message from a chart.
We first need to assign a category to the message that we are going to communicate.
Although several categories that we have and later on in this course we will learn how to choose the
best chart type depending on the underlying message category.
So let's look at these categories first.
The first category is when we want to compare one item to another item.
For example a chart may compare sales in each of the company's sales regions so we may want to compare
these sales performance in the north region.
What is this old region.
Second is comparing data over time.
For example a chart may display sales by months and indicate the trends over time.
Third is making relative comparisons an example of this is a common pie chart which we see during election
results.
The pie charts display the percentage of votes or these seats won by the different parties in the election
scenario.
Fourth type of messages comparing data relationships.
We may want to explore the relationship between two variables.
A common example of relationship between variables is marketing expenditure vs. sales.
You may want to see if increasing the marketing expenditure is increasing your sales or not.
The fifth category is frequency comparisons.
A common example of frequency comparison can be a histogram displaying how many students have scored
between 80 200.
How many of scored between 60 to 80 and how many of them have scored below 60.
The last category that we are going to talk about is identifying outliers and unusual situations.
If you have told a lot of data points creating a chart may help identify those data points which are
not representative.
That is data points which are mis recorded or miscalculated on having some issue with them.
For example if you are man factoring tennis balls of certain radius you can plot the radius of all these
manufactured balls over a chart to easily find out the only manufactured balls which are having different
dimensions.
I hope with this you will be able to assign your message to one of these categories.
Take some time to identify the last chart that you drew in your job and try to assign the message that
you communicated in that chart into one of these categories.
Think about it for next five seconds
in the next lecture.
We will look at different elements of charts so that we can start a journey of different chart types.
