Episode 134

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Published on:

5th Nov 2024

134: The Greatest Data Analyst of All Time (John Snow)

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Travel back to 1854 London and see how data visualization saved lives. John Snow’s use of data analytics to fight cholera is a groundbreaking story that still inspires analysts today.

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⌚ TIMESTAMPS

00:24 The Cholera Outbreak in London

01:04 John Snow's Revolutionary Hypothesis

02:58 Lessons for Modern Data Analysts

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Transcript
Avery:

Today I'm going to tell you the story of one of the earliest and one of

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the greatest data analysts of all time.

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It's a story that had such a big

impact on my life that I actually

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named my consulting company, Snow

Data Science, after this guy.

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His name is John Snow.

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And no, not the guy from Game of

Thrones, but an English physician

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from the mid 1800s who saved a

country from a deadly outbreak of

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cholera using only data analytics.

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London, 1854, and there's a terrifying

disease sweeping the streets.

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Cholera.

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People are dropping like flies

and no one really knows why.

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In fact, over 500 people had died in

this small area in the last 10 days.

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At the time, most people believed that

cholera was spread through the air via

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bad smells and what's called bad air.

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Some people even believed that cholera

was really only coming out of the

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cemeteries from people who had already

previously passed of the disease.

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Basically, no one knew what was

going on in the disease world.

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No one knew how people were getting

sick, They just knew that people were

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getting sick at an alarming rate.

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And with that knowledge, 75 percent of

that part of the city, Soho, fled due

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to fear of contracting the disease.

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Dr.

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Jon Snow was determined to

figure out why these people were

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getting sick and how to fix it.

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You see, Jon was a doctor, and

he had this crazy idea that maybe

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cholera wasn't spread through the

air, but rather through water.

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And to us, that sounds pretty simple.

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But at the time, it was

a revolutionary idea.

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But no one would believe him.

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So he knew he needed data to prove it.

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So John hit the streets.

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He started talking to people

who had gotten sick and asked

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them a series of questions.

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One of which was crucially,

Where are you getting your water?

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And after interviewing dozens

of folks, he looked at his notes

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and realized many had mentioned

getting water from the same well.

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Which was the pump down on Broad Street.

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A curious note, but nothing concrete.

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John realized he needed more.

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And here's where Snow did

something revolutionary and

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thought like a data analyst.

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He created a map of the streets of London

and plotted every cholera case on it.

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Each water pump was highlighted

with a simple black circle, and each

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case of cholera was indicated by a

simple black line stacked on top of

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the other one to represent multiple

contractions at the same residence.

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After constructing the graph, he found

that most of the deaths clustered around

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one pump, the pump on Broad Street.

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This gave him the data driven evidence

that maybe the disease was indeed in

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the water, specifically at that pump.

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This wasn't just a cool visualization that

he made, it was data analytics in action.

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Armed with his data evidence,

he headed to the local officials

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and presented his theory.

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He showed them his map and asked them to

remove the handle of the pump which would

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literally shut water down to that area.

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The government obliged

and shut the pump down.

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And guess what?

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The cholera outbreak

slowed nearly immediately.

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People stopped getting sick.

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People stopped dying.

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And the population of

London returned to the city.

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This analysis didn't only save

lives, it actually changed

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public health care forever.

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Jon Snow's work is considered

one of the earliest examples

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of data analytics in the UK.

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and is still referred to

in pandemics or outbreaks.

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Here are three simple ways that you and

I can be great analysts like Jon Snow.

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Number one, visualize our data.

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We as humans are not very

good at remembering numbers.

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We can only really take a

look at 10 numbers at a time.

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If you don't believe me, try to memorize a

telephone number in less than 10 seconds,

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and if you can, you're above average.

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If you don't believe me,

just try to remember this.

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Number 8 0 1 5 7 2 2 7 7 8 4 3 2 1 7.

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Go ahead and try to repeat that

in the comments down below.

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If you get it, you're above average.

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We as humans are just not good

at dealing with numbers, but

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we are good at visualizing.

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Our eyes are extremely powerful, and

so instead of trying to just understand

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data inside of a notebook or instead

of a spreadsheet, when we visualize

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data, that helps us understand it

better, and that was the key to success.

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To John, figuring out what

was causing this disease.

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Number two, we can storytell with data.

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Notice that John didn't go to the

government and just, you know, show them

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the map or just tell them the theory.

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He combined the two.

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He told a story.

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In fact, they actually asked, well,

what is happening with this green

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area right here and this green

area right here that you see on

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the map, they're not getting sick.

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Why are they not getting sick?

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Even though they're really close

to this well, and he actually

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went and interviewed those people

and found out that one was a bar.

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And they said, quote, no

one drinks water here.

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So those people were actually saved

from cholera by only drinking beer.

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And the second one was actually

a prison where they actually have

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their own well inside of the prison.

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So he was able to illustrate the

full story with the data that was

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able to convince the government

that this was the cause, even though

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everyone thought it was in the air,

that it was actually in the water.

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And number three, another

thing that Jon Snow did very

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well is explain the outliers.

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If you look at the map, you'll

notice that towards the bottom

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and even some other places.

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There are outliers.

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There are people who contracted

cholera that were not close to

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this pump and not using this pump.

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This would actually hurt his

hypothesis, and he knew that.

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So he actually went to those areas to talk

with those people and found out that many

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of them had relatives or they had recently

visited that pump just a couple days ago.

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So the outliers did not

hurt his case, they actually

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ended up supporting his case.

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If you want to be a great analyst

like Jon Snow, go ahead and hit

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subscribe to get future episodes

that will help you get there.

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Data Career Podcast: Helping You Land a Data Analyst Job FAST
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Avery Smith

Avery Smith is the host of The Data Career Podcast & founder of Data Career Jumpstart, an online platform dedicated to helping individuals transition into and advance within the data analytics field. After studying chemical engineering in college, Avery pivoted his career into data, and later earned a Masters in Data Analytics from Georgia Tech. He’s worked as a data analyst, data engineer, and data scientist for companies like Vaporsens, ExxonMobil, Harley Davidson, MIT, and the Utah Jazz. Avery lives in the mountains of Utah where he enjoys running, skiing, & hiking with his wife, dog, and new born baby.