Visualization is one of the most important skill sets in the arsenal of a data analyst! Let's tell some stories with data

1. VISUALIZATION
CCrause
01/10/2019

2. STORYTELLING BY
VISUALIZATION
In the world of Big Data, data visualization tools
and technologies are essential to analyze massive
amounts of information and make data-driven
decisions. Visualization skills is ,arguably, one of
the single most important skills that an analyst
should master. Our eyes are drawn to colors and
patterns. We can quickly identify red from blue,
square from circle. Our culture is visual, including
everything from art and advertisements to TV and
movies.

3. WHY DATA VISUALIZATION
IS IMPORTANT FOR ANY
CAREER
• Every STEM field benefits from understanding data
• Finance, marketing, sports, etc
• Helps leverage information

4. COMMON GENERAL TYPES
OF DATA VISUALIZATION:
• Charts
• Tables
• Graphs
• Maps
• Infographics
• Dashboards

5. BLOGS ABOUT DATA
VISUALIZATION
• http://www.storytellingwithdata.com/
• https://informationisbeautiful.net/
• http://www.visualisingdata.com/
• https://www.tableau.com/about/blog
• https://bbc.github.io/rcookbook/

6. CREATING
CHARTS
USING R
gapminder %>%
select(lifeExp,country) %>%
filter(country %in% c('South Africa',
'Canada', 'Botswana', 'Namibia',
'Italy', 'Croatia', 'United States'))
%>%
mutate(country = country %>%
fct_reorder(lifeExp))%>%
ggplot(aes(y = lifeExp,x = country,
fill = country))+
geom_boxplot()+
tidyquant::scale_fill_tq()+
labs(caption = 'Source:
GapmindernCompiled by Casper Crause',
x= '',
y = 'Life expectancy',
title ="Life ExpectancynThird-
world countries versus first-world
countries" )+
coord_flip()+
guides(fill = 'none')+
expand_limits(y = c(0,100))+
theme_minimal()

8. TOP SCHOOLS FOR
LEARNING
This is subject to opinion, but my favorite place to
learn Data Science is from Matt Dancho’s Business
Science University
Below is an example of creating plots that can
create valuable insights for your employer. Matt’s
core focus is teaching students how to apply data
science to Business and communicate insights in a
way that executives can understand