Data Visualization.pptx

Data Visualization
Module-3
- Sheethal nayak k

Data visualization
• Proper data-visualization techniques greatly improve the
ability of the decision maker to interpret the analysis easily.
• Pictures conveys better than words
• Microsoft Excel is a ubiquitous tool used in business for basic
data visualization. Software tools such as Excel make it easy
for anyone to create many standard examples of data
visualization.

Effective Design Techniques
• One of the most helpful ideas for creating effective tables and
charts for data visualization is the idea of the data-ink ratio.
• Total amount of ink used in a table or chart.
• Data-ink is the ink used in a table or chart that is necessary to
convey the meaning of the data to the audience. Non-data-ink
is ink used in a table or chart that serves no useful purpose in
conveying the data to the audience.

Tables
Tables should be used when the
1. reader needs to refer to specific numerical values.
2. reader needs to make precise comparisons between different values
and not just relative comparisons.
3. values being displayed have different units or very different
magnitudes.

Table Design Principles
• In designing an effective table, keep in mind the data-ink ratio and avoid the
use of unnecessary ink in tables.
• Avoid using vertical lines in a table unless they are necessary for clarity.
• Horizontal lines are generally necessary only for separating column titles
from data values or when indicating that a calculation has taken place.
• Text-Left align & Numbers-Right align
• Use a type font, style, and size for the table consistent with the surrounding
text.
• Give Table and column title
• Group and sort data to highlight meaningful patterns.
• Include in your table only the data that you want your audience to focus on

Cross Tabulation
• Used to quantitatively analyze the relationship between
multiple variables.
• Enable researchers to understand the correlation between the
different variables.

PivotTable
A crosstabulation in Microsoft Excel is known as a PivotTable.

Charts
• Charts (or graphs) are visual methods for displaying data
• Most commonly used charts to display and analyze data are scatter charts,
line charts, and bar charts.
1. Scatter Charts
2. Line Charts
3. Bar Charts & Column Charts
4. Pie Charts
5. Bubble Charts
6. Heat Map

Charts
SCATTER CHARTS
A scatter chart is a graphical presentation of the relationship between
two quantitative variables.
Correlation
Regression

Charts
LINE CHARTS
Line charts are similar to scatter charts, but a line connects the points in
the chart. Line charts are very useful for time series data collected over
a period of time (minutes, hours, days, years, etc.).

Charts
BAR CHARTS AND COLUMN CHARTS
Bar charts and column charts provide a graphical summary of categorical and
quantitative data. Bar charts use horizontal bars to display the magnitude of the
quantitative variable. Column charts use vertical bars to display the magnitude of
the quantitative variable. Bar and column charts are very helpful in making
comparisons between categorical variables.

Charts
PIE CHART
A type of graph in which a circle is divided into sectors that each
represent a proportion of the whole.

Charts
BUBBLE CHART:
A bubble chart is a graphical means of visualizing three variables in a
two-dimensional graph and is therefore sometimes a preferred
alternative to a 3-D graph.

Charts
HEAT MAPS
A heat map is a two-dimensional graphical representation of data that uses different
shades of color to indicate magnitude.

Additional Charts for Multiple Variables

Advanced Data Visualization
Advanced Charts
1. Parallel-coordinates plot:
• Chart for examining data with more than two variables
• It allows a comparison of the samples or observations across
multiple numerical variables.
• Each feature/variable is represented by a separate axis.
• All the axis are equally spaced and parallel to each other.

Advanced Charts
1. Parallel-coordinates plot: HR: Home Runs
SB: Stolen Bases
AVG: Batting Average
1B: 1st Base
2B: 2nd Base

Advanced Charts
2. Treemap:
Treemapping is a data visualization technique that is used to
display hierarchical data using nested rectangles

Geographic Information Systems Charts
Merges maps and statistics to present data collected over
different geographic areas.

Data Dashboards
A data dashboard is a data-visualization tool that illustrates multiple metrics
and automatically updates these metrics as new data become available.
Principles of Effective Data Dashboards
1. A data dashboard should provide timely summary information on KPIs
that are important to the user.
2. A data dashboard should present all KPIs as a single screen that a user can
quickly scan to understand the business’s current state of operations.
3. The KPIs displayed in the data dashboard should convey meaning to its
user and be related to the decisions the user makes.
4. A data dashboard should call attention to unusual measures that may
require attention

Data Dashboards
5. Start with users, not the data
6. Choosing the Right Data Visualization
7. Telling a story
8. Provide Immediate Access to Relevant Info
9. Logical Layout
10. Minimalism: Less Is More
11. Round your numbers
12. Use size and position to make priorities clear
13. Double your margins
14. Have a clean, uncluttered dashboard

Data Visualization.pptx

More Related Content

What's hot (20)

Similar to Data Visualization.pptx (20)

Recently uploaded (20)

Data Visualization.pptx