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[MUSIC]

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Hey, NBA fans,
who's the greatest rebounder of all time?

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Some might say Wilt Chamberlain.

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Wilt retired in 1973 after
collecting almost 24,000 rebounds.

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Over 2,000 more than any
other player's career total.

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Wilt once grabbed a record 55
rebounds in a single game.

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These days, few NBA teams average
more than 55 rebounds per game.

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These are really big numbers.

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Wilt must have been the greatest
rebounder ever, right?

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Not so fast.

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In 2010, a sports writer named
Ben Morris published a series

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of posts on his Skeptical Sports
website called The Case for

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Dennis Rodman that took a closer look
at the NBA's greatest rebounders.

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In the 1960-61 Season, Wilt averaged
over 27 rebounds per game, the most ever.

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That number towers over Dennis Rodman's
peak season of 18.7 rebounds in 1991-92.

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But Wilt played almost
every minute of every game.

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Meaning, he was on the court 48
minutes per night versus Rodman's 40.

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In addition, the game moved at a much
faster pace in the early 60s than

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in the early 90s, and players made
shots at a much lower percentage.

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A typical game in 1961 featured 147

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rebounding opportunities
from missed shots per game.

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By 1991, rebounding opportunities
had dropped to just 84 per game.

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To make a more direct
comparison between the players,

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Morris used a statistic called
Total Rebounding Percentage.

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Total rebounding percentage means,
of all the missed shots available,

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what percentage were
rebounded by each player?

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By that metric,
the results weren't even close.

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In each of Rodman's six best seasons,

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he grabbed over 25% of the rebounds
available while he was on the court.

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Even in Wilt's best season, he rebounded
only 20% of the missed shots available.

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So Wilt may have the most career rebounds.

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But Morris's charts demonstrate that
the most efficient rebounder of all time

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was Dennis Rodman.

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Hi, my name is Anwar.

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I'm a designer, a developer,
and then teacher at Treehouse.

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My pronouns are he/him.

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I'm here today to introduce you to
the fundamentals of data visualization.

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What is data visualization?

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A simple answer might be something like
the graphic representation of data.

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But to get a better understanding of what
practitioners of data visualization do,

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let's start with the term data.

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By data I mean raw,
unorganized facts and numbers.

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In the intro to this video,
we learned that Wilt Chamberlain gathered

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almost 24,000 rebounds in his NBA career.

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But on its own,
what do we learn from that number?

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If I told that statistic to a random
person walking down the street,

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they would have difficulty making
use of that data for two reasons.

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The number lacks context.

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Very few people have any idea how
many rebounds the average basketball

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player collects over a career.

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Without comparing 24,000 rebounds to
the performance of other players,

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this statistic is meaningless.

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Large numbers are intimidating.

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If I asked you to picture
five basketballs,

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that shouldn't be a problem for
most of us.

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If I ask you to picture 20 basketballs,
that's a bit tougher but

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we might accomplish it by
forming mental groupings.

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Four groups,
each containing five basketballs.

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But 24,000 basketballs?

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That's a hard number to remember and
impossible to visualize.

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Practitioners of data
visualization take raw,

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hard to grasp data like
24,000 rebounds and

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turn that data into information by
providing context and a purpose.

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In the opening of this video,
we received enough context to understand

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that Wilt Chamberlains
24,000 is a lot of rebounds,

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over 2,000 more than
the next closest player.

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We also learn from Ben Morris
that the number 24,000 doesn't,

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by itself, tell a complete story.

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The purpose of Morris's
data visualizations was to

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demonstrate that Dennis Rodman was
the most effective rebounder of all

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time by comparing actual minutes spent
on the court and calculating who

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grabbed the highest percentage of
missed shots available to rebound.

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During this course,
we'll learn to do something similar.

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We'll learn how to convert data into
information by providing context and

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a purpose.

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And we'll take a look at different
visual means of telling our

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audience a meaningful story.

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We'll start the preparations for
that process in our next video.