02 Jan 2014
January 2, 2014

vtVisualizer…..Types of graphs

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hi Folks

Just wanted to share some information on the types of graphs vtVisualizer is able to generate. I hope you will like these visual treats generated from your very own CRM data!!

Happy visualizing!!

DZining line charts

What: A Series of data points connected by line segments is called a line chart.

Why: A line chart is often used to visualize a trend in data at user definite intervals of time.

How: 2 perpendicular lines, called axes (X-axis -horizontal – independent variable and Y-axis – vertical – dependent variable) together with a shifting trajectory.

Variation can be scatter plot and slope graphs.

About: A line graph helps us to determine the relation between two data sets where one set is dependent on the other. Independent data are drawn on horizontal x-axis ad dependent data are drawn on vertical y-axis. With line graphs, it is easier to make predictions about the results of the data which has not yet been recorded. To compare different data sets, where one is an independent variables and other data sets are dependent variables, a line chart is of great use. However, not more than 4 line charts can give you the best information in comparison of different data sets.

Examples:

  • Value of a company stock increasing over a period of one year in the stock market.
  • Year-on-year sales of two products of the same company

sample line blue

DZining Bar charts

What: A Vertical or horizontal representation of a discrete value using colored bars. Bar charts are used to compare the number or frequency for different categories of data.

Why: The length of the bars in a bar graph represent the quantitative value. The length of the bar starts from a Zero.

How: Vertical and horizontal columns/bars are represented using colors on a grid.

Variations could be stacked bar charts, grouped bar charts or waterfall bar charts.

About: Bar charts are one of the most commonly used charts because bar charts are the simplest and are most easily interpreted. The lengths of the bars correspond to the size of the category. There is a deliberate gap left between the bars and the bars are differently colored to increase its appeal. Bar charts can also be used to represent the negative data if we position the X-axis appropriately.

Examples:

  • Number of dishes sold in a restaurant over a week’s time
  • Revenue by facility region

sample bar

DZining Pie charts

What: A circular (angular) representation of percentage or proportional data and each percentage of a category is one slice of the Pie.

Why: The portion (angle) of the pie is the quantitative value of the constituent.

How: Each piece of the Pie is represented using different colors on the pie.

Variations could be donut or nested donuts.

About: Pie charts give the user a comprehensible way to understand data which is otherwise represented using a table. pie charts are best used when you need to represent some data as a percentage of the whole value. If you have fewer than 6 categories, the visibility of each category and its contribution to the whole pie is at its optimum level. If the number of categories go beyond 6, it becomes little difficult to comprehend the message the chart is trying to convey. If the categories are unevenly distributed, the comprehensibility of the Pie goes down. Pie chart is used best when there are uneven sized categories.

Examples:

  • Distribution of unique visitors to the website www.vtigress.com, month-wise

sample donut chart

DZining Funnel charts

What: A funnel like representation of progressively decreasing proportions of data as and when the data passes from one stage to another.

Why: Mostly used in visualizing and identifying problems in sales process in organizations because funnel charts best represent the various stages in a sales process and amount of potential revenue for each stage.

How: Each piece of the Pie is represented using different colors on the pie.

Variations could be donut or nested donuts.

About: Funnel charts do not use any axes. The area of each piece or segment of the funnel is proportional to the value of that segment. It is a single series chart representing the data as portions of 100%

Examples:

  • Distribution of the number of hits all pages of a website receives with the homepage hits being the maximum and then to the specialized content pages.
  • Sales contribution by each sales person in your company sales team

sample funnel chart

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