This document discusses data visualization and provides best practices for visualizing data. It defines data visualization as translating information into visual formats like charts and graphs to make insights and trends easier for people to understand. The document recommends finding the story in the data, cleaning and sorting it, selecting appropriate visual elements to represent it, avoiding exaggeration, and citing sources. It highlights how visuals help illustrate data creatively, uncover new insights, engage audiences, represent big data, and drive decision making. The importance of using word clouds to reveal audience thoughts in an exciting, emotional, and engaging way is also covered, along with ten examples of word cloud generating tools.

1. Data Visualization

2. What is Data Visualization?
• Data visualization is the practice of translating information into a
visual context, such as a map or graph, to make data easier for the
human brain to understand and pull insights from.
➔ Visualizing data helps you tell the story.
• By using visual elements like charts, graphs, maps, word clouds,
data visualization tools provide an accessible way to see and
understand trends and patterns in data.

4. Data Visualization best practices
What do you want
them to know &
what decision
should they take?
Align the goal to
the stakeholders
needs.
Target
Audience
Find the story
in your data.
Clean and sort your
data.
Are there patterns,
trends, comparisons,
surprises, success,
failures?
Visualize
the data
This is where you
select the
appropriate
elements you can
use to represent
your data.
Avoid
exaggeration
Use of so many visuals
can be misleading or
even cause distraction
to the audience while
you present.
Keep it simple even
with colours.
Cite your
sources.
Include the source
of your information
e.g
Source: Ubos
Report, 2020

5. Importance of Data Visualization
Visuals help illustrate data creatively
which makes it easy for the audience to
remember.
Visuals help uncover new insights and easily
engage with others.
It helps in giving identity of communication
shared. Through branding and logo
placement
Visuals help represent big data which
makes it easily understandable.
It provides for actionable indicators to
drive decision making
Creates lasting
impression
Drives Action
Makes big data
digestible
Good for
identification
Easily share with
others
Why visualize
your data

6. Importance of using Word Clouds
A Word Cloud is a collection or cluster of words depicted in different
sizes.
• They are quick to produce, easy to read and simple to understand.
• Word Clouds help reveal what your audience really think
• Word Clouds are exciting and emotional
• Word Clouds are engaging

7. Ten examples of Word Cloud generating tools
1. MonkeyLearn WordCloud Generator | Free word clouds powered by AI
2. WordArt.com | Design-led word art generator
3. Wordclouds.com | Highly customizable tag cloud creator
4. WordItOut | Simple word cloud generator
5. Jason Davies | Wordle-inspired word cloud generator
6. TagCrowd | Multilingual word cloud generator
7. Abcya | Fun word art generator for kids & teachers
8. Tagxedo | Create word clouds from URLs
9. Mentimeter | Interactive word cloud generator
10.Word Clouds in Python | Create word cloud tool with code
Online