Visualization

Analytics

Data Analytics 3 questions:

1. Where you are?

2. Where you have been?

3. Where you want to go?

4 Types of Analytics

1. Descriptive

2. Diagnostic

3. Predictive

4. Prescriptive

Visualizations

• Visualization is a graphical representation of data

• We can use visualizations to create reports and dashboards

Elements of graphs

• The Title: The title offers a short explanation of what is in your graph.

• The Legend: The legend tells what each line represents

• The Source :The source explains where you found the information that is in your graph

• Y-Axis: Typically, the y-axis has numbers for the amount of stuff being measured. The y-axis usually starts counting at 0 and can be divided into as many equal parts as you want to.

• X-Axis: Typically, the x-axis has numbers representing different time periods or names of things being compared

Different kinds of visualizations

Bar charts

• Bars should be of equal width and there should be an equal spacing in between.

Grouped / Clustered Bar Graph

Stacked Bar Graph

Bar graph vs Histogram

• The bars in a bar graph are not adjacent to each other. On the other hand, in a histogram two consecutive bars are adjacent

• Bar graph is created for discrete or categorical variables, histograms are for continuous variables on x axis and y axis represents the frequency or percentage in most cases

Column charts

Line chart

• Area chart

• Stacked area chart

• Ribbon chart

• Waterfall chart

• Scatter chart

• Pie chart

• Donut chart

• Treemap chart

• Map

• Funnel chart

• Gauge chart

• Cards

• KPI

• Slicer

• Table

• Matrix