Thursday 28 August 2014

Team 3:Today’s class is about how to draw charts and graphs for a given data.


First of all charts and graphs are pictorial representation which makes the information clearer and easier to understand. News publishers use graphics all the time to show comparisons and explain important trends for things such as weather, gas prices, crime rate, or who is winning an election and by how much.

6 common reasons that we often have to make a chart:
1.         to Compare
2.         to show the Distribution
3.         to explain Parts of the Whole
4.         to tell the Trend over time
5.         to find out the Deviations
6.         to understand the Relationship

Types of charts that we use
Ø  To Compare :for comparison purpose we can use Bar Charts, Column Charts, Scatter Plots, Pie Charts, Line Charts, Data Tables
Ø  To Show the Distribution: To show distribution Column Charts, Scatter Plots, Line charts, Box Plots are used
Ø  To explain Parts of Whole: Column Charts, Bar Charts, Pie Charts, Data Table to show required parts from the whole data.
Ø  to tell the Trend over time :for clear representation of trend we can use Column Charts, Line Charts, Data Table
Ø  to find out the Deviations: to show deviation we can use Column Charts, Bar Charts, Line Charts, Data Table
Ø  to understand the Relationship: to show relationship between two or more variables we can use Scatter Plotline  Chart, Data Table

Other types of charts
Doughnut charts
Like a pie chart, a doughnut chart shows the relationship of parts to a whole; however, it can contain more than one data series. •This type of chart displays data in rings, where each ring represents a data series.

Radar chart
A radar chart compares the aggregate values of a number of data series. This chart displays changes in values relative to a center point. It can be displayed with markers for each data point.

bubble chart
A bubble chart is a type of xy (scatter) chart. It compares sets of three values and can be displayed with a 3-D visual effect. The size of the bubble, or data marker, indicates the value of a third variable. To arrange your data for a bubble chart, place the x values in one row or column, and enter corresponding y values and bubble sizes in the adjacent rows or columns. 

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