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Warm Up

There’s a password for today’s activity. Can you use your skills from yesterday to solve it?

Solve the alphabetic shift cipher!

AFCPPW RPCCQ

Advance to start a 5 minute timer

🕒

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Warm Up

There’s a password for today’s activity. Can you use your skills from yesterday to solve it?

Solve the alphabetic shift cipher!

AFCPPW RPCCQ

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...the answer is...

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...the answer is...

+2 decipher algorithm

*Strategy: Trial-and-error (AKA “brute force”)

AFCPPW RPCCQ

BGDQQX SQDDR

CHERRY TREES

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From Tables to Graphs

PART 2

5

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Data Visualization

LET’S TALK REAL QUICK ABOUT

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Is a scatter plot the right way to tell this data’s story?

1 min

REVIEW

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Data Visualization

Being able to read and interpret graphs gives all of us power–just like being able to read and write.

Data visualization is using graphs to present information and data.

It helps us understand the story of the data.

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Data Visualization

Being able to read and interpret graphs gives all of us power–just like being able to read and write.

Data visualization is using graphs to present information and data.

It helps us understand the story of the data.

Yesterday we looked at Scatterplots.

Today we are going to look at Histograms.

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Histograms

PART 2a:

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What is a histogram?

A graph that shows the spread of data.

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What is a histogram?

A graph that shows the spread of data.

Made by counting the number of data points that fall into ranges, called bins.

Bin

1

Bin

2

Bin

3

Bin

4

Bin

5

0

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A real world example

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Histogram Practice

A researcher measured the heights of a bunch of Cherry Trees.

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Histogram Practice

A researcher measured the heights of a bunch of Cherry Trees.

71 ft

65’

76’

81’

74’

+

+

+

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Histogram Practice

These are all the measurements of the cherry trees, in feet.

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

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Histogram Practice

What is the range of the data set?

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

Range: �Highest and lowest values in a set of numbers

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Show with a number of fingers

(Options on next slide)

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Histogram Practice

70

65

63

72

81

83

What is the range of the data set?

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

CHOICES

1: 87

2: 80

3: 70 to 87

4: 63 to 87

5: 70 to 80

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Histogram Practice

What is the range of the data set?

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

CHOICES

1: 87

2: 80

3: 70 to 87

4: 63 to 87

5: 70 to 80

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Histogram Practice

The range is 63 to 87

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

But how evenly is the data spread?

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Histogram Practice

The range is 63 to 87

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

But how evenly is the data spread?

Are there more high numbers, or low numbers?

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Histogram Practice

The range is 63 to 87

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

But how evenly is the data spread?

Are there more high numbers, or low numbers?

Are most of the trees older or younger?

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Histogram Practice

The range is 63 to 87

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

But how evenly is the data spread?

Are there more high numbers, or low numbers?

Are most of the trees older or younger?

Histograms help us see these patterns at a glance.

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Histogram Practice

Now we’ll start graphing the data in a �Dot Plot, a graph similar to a histogram but a bit easier to understand.

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Histogram Practice

Now we’ll start graphing the data in a �Dot Plot, a graph similar to a histogram but a bit easier to understand.

Each data point is represented on a graph as a single dot.

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Histogram Practice - Dot Plot

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

Record each measurement as a point on the graph

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Histogram Practice - Dot Plot

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

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Histogram Practice - Dot Plot

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

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Histogram Practice - Dot Plot

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

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Histogram Practice - Dot Plot

70

65

63

72

81

83

66

75

80

75

79

76

76

69

75

74

85

86

71

64

78

80

74

72

77

81

82

80

80

80

87

1 tree was 65’ tall

5 trees were 80’ tall

All points have been plotted

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Histogram Practice

Now we can turn this Dot Plot into a Histogram by binning the data.

>60’- 65’

>65’- 70’

>70’- 75’

>75’- 80’

>80’- 85’

>85’- 90’

Tree Height (feet)

Binning: �Separating data into sets of ranges.

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Combining data points �into bins

<1 min

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Histogram Practice

Now we can turn this Dot Plot into a Histogram by binning the data.

Binning: �Separating data into sets of ranges

>60’- 65’

>65’- 70’

>70’- 75’

>75’- 80’

>80’- 85’

>85’- 90’

Tree Height (feet)

If a tree is taller than 60’, and up to 65’ tall, it goes in this bin.

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Histogram Practice

Now we can turn this Dot Plot into a Histogram by binning the data.

>60’- 65’

>65’- 70’

>70’- 75’

>75’- 80’

>80’- 85’

>85’- 90’

Tree Height (feet)

If a tree is 65.1’, it goes in this bin, because it is >65’.

Binning: �Separating data into sets of ranges

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Histogram Practice

When we bin the data, this Dot Plot is almost a Histogram.

>60’- 65’

>65’- 70’

>70’- 75’

>75’- 80’

>80’- 85’

>85’- 90’

Tree Height (feet)

In a histogram, the bars go up to the height of the dots (the number of trees in the bin)

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Histogram Practice

This is a Histogram.

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PART 2b

Analyzing the Data

Organizing and exploring data to unlock its meaning

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Analyzing the Data

What is the most common range of tree heights?

Another way of asking the question:

(Which bin has the most trees?)

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Analyzing the Data

What is the most common range of tree heights? (Which bin has the most trees?)

75’-80’

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Analyzing the Data

What is the most common range of tree heights? 75’ - 80’

What is the range of the whole data set?

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Analyzing the Data

What is the most common bin for the tree heights? 75’ - 80’

What is the range of the whole data set?

60’-90’

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Analyzing the Data

What is the most common range of tree heights? 75’ - 80’

What is the range of the whole data set? 60’ - 90’

You may remember we said the range was 63’-87’, but histograms are just giving us a quick snapshot of the data.

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A Quick Review

Next, we’ll be making our own histogram, so let’s review.

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A Quick Review

Next, we’ll be making our own histogram, so let’s review.

First, we found the range of the cherry tree data (the highest and lowest numbers in the data set).

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A Quick Review

Next, we’ll be making our own histogram, so let’s review.

First, we found the range of the cherry tree data (the highest and lowest numbers in the data set.

Then we created a dot plot with the data.

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A Quick Review

Next, we’ll be making our own histogram, so let’s review.

First, we found the range of the cherry tree data (the highest and lowest numbers in the data set.

Then we created a dot plot with the data.

Then we binned the data into groups with ranges of equal sizes to create a binned dot plot.

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A Quick Review

Next, we’ll be making our own histogram, so let’s review.

First, we found the range of the cherry tree data (the highest and lowest numbers in the data set.

Then we created a dot plot with the data.

Then we binned the data into groups with ranges of equal sizes.

Lastly, we drew bars up to the height of our binned points to create a histogram.

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Check in

✎ Answer Questions 1-7 on your worksheet.

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Next time, you’re going to make your own histogram from the bird song data, as the reviewer suggested.

You’ll also figure out why female song in barn swallows has been missed until 2020.

END OF PART 2

Matt Wilkins

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REVIEW

ANALYZING -

BIN -

RANGE -

VOCAB

CONCEPTS

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REVIEW

ANALYZING - doing an analysis; organizing and exploring data to unlock its meaning

BIN - a range of values for combining data.

Example: school grades could be broken up into 4 bins:

“great”: 90-100

“good”: 80-89

“acceptable”: 70-79

“needs work”: 0-69

RANGE - a set of two numbers: the least and the greatest number in a data set. Usually expressed as Small Number – Big Number

Example: school grades are often scored with a range of 0-100

Other systems may have a range of 0-4 or 0-5

VOCAB

CONCEPTS

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REVIEW

BINNING - combining groups of observations into ranges. Classifying people into “short,” “average,” and “tall” is a type of binning with named categories.

How tall is tall? What do you think the ranges should be for height categories at your school?

CONCEPTS

VOCAB

CONCEPTS

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REVIEW

BINNING - combining groups of observations into ranges. Classifying people into “short,” “average,” and “tall” is a type of binning with named categories.

How tall is tall? What do you think the ranges should be for height categories at your school?

HISTOGRAM

SCATTER PLOT

BINNED DOT PLOT

(UNBINNED) DOT PLOT

CONCEPTS

VOCAB

CONCEPTS