Original subtitles

Welcome to this section.

In this section, we're going to now move into looking at our graphical views of our data.

So, so far, we've been looking at tables and we've been looking at text views of the data.

With graphical views, we're able to actually be able to see the patterns within the data.

So we get a different visual representation of the data and being able to understand it.

We're going to start with the clustered column graph.

We're going to see the common bar.

Graphs are really great when we want to understand how big something is or how small something is,

how much bigger one thing is than the other.

So we're going to start with the clustered column, and then we're going to move into the 100% and the

stacked column graph.

And what we're going to see is the ability to be able to see how one item contributes to the other.

So we're going to be able to see how these items are contributing to the total.

Then we're going to move across to our trend graphs.

So with our trend graphs, we've got a few graphs that we can be looking at, can look at our line graph

or area graph.

So our line graph gives us a representation of how data changes over time.

And this is basically our trends that we're looking for.

So line graphs are also great when you want to understand forecasting how the things move out into the

future, we're going to see that area.

Graphs give us very similar view to what line graphs do, but they're coloring in the area before.

So they give us an ability to understand how big or how small something is.

Then I'm going to look at a your visualization for the ribbon graph, which actually gives us the view

of being able to see how items are ranked.

So you can see which item is biggest by following how it is ranked throughout the graph.

But you'll see in the lesson how we do this.

Then we're going to look at some additional graphs.

When we look at our pie graph, look at a tree graph, and these will give you different visual representations.

Also going to be looking at a scatterplot and the bubble plot which could allow us to be able to see

correlations between data.

And we're going to be looking at the decomposition tree, which allows us to see how the components

of an item make something up.

But yet again, let's jump into the lessons and I will see you there.