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lessons/Data-Science/dot-plots-variability/langs/en-us/index.adoc
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lessons/Data-Science/dot-plots-variability/langs/en-us/pages/workbook-pages.txt
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compare-dot-plots-histograms.adoc | ||
compare-dot-plots-histograms.adoc | ||
match-dot-plots-histograms.adoc |
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...ns/Data-Science/histograms-variability/langs/en-us/assessments/assessments.adoc
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= Assessments | ||
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== Published Assessment | ||
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- Desmos File: | ||
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== Question Text | ||
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@n question 1 | ||
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- objective: | ||
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@n question 2 | ||
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- objective: | ||
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== Links to Documents Used for Thinking and Generating Content | ||
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- Desmos file? | ||
- Pyret file? | ||
- Google Doc? | ||
- Google Sheet? |
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...ograms-variability/langs/en-us/assessments/images-used-in-assessments/weeks.png
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lessons/Data-Science/histograms-variability/langs/en-us/images/histogram-a.png
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lessons/Data-Science/histograms-variability/langs/en-us/images/histogram-b.png
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lessons/Data-Science/histograms-variability/langs/en-us/images/histogram-c.png
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lessons/Data-Science/histograms-variability/langs/en-us/images/histogram-d.png
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lessons/Data-Science/histograms-variability/langs/en-us/images/lesson-images.json
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{ | ||
"histogram-a.png": { | ||
"description": "Histogram with 6 columns whose respective heights from left to right are 1, 1, 3, 3, 1, 1", | ||
"source" : "Created by the Bootstrap Team based on contrived data", | ||
"license" : "Creative Commons 4.0 - NC - SA" | ||
}, | ||
"histogram-b.png": { | ||
"description": "histogram with 10 bars equal in height based on contrived data", | ||
"source" : "Created by the Bootstrap Team", | ||
"license" : "Creative Commons 4.0 - NC - SA" | ||
}, | ||
"histogram-c.png": { | ||
"description": "Histogram with 9 bars whose heights from left to right are 0,1,3,3,1,0,0,1,1", | ||
"source" : "Created by the Bootstrap Team based on contrived data", | ||
"license" : "Creative Commons 4.0 - NC - SA" | ||
}, | ||
"histogram-d.png": { | ||
"description": "Histogram with 9 bars whose heights from left to right are 0,1,1,0,0,1,3,3,1", | ||
"source" : "Created by the Bootstrap Team based on contrived data", | ||
"license" : "Creative Commons 4.0 - NC - SA" | ||
}, | ||
"histogram-e.png": { | ||
"description": "Histogram with 11 bars whose heights from left to right are 0,2,2,1,0,0,0,0,1,2,2", | ||
"source" : "Created by the Bootstrap Team based on contrived data", | ||
"license" : "Creative Commons 4.0 - NC - SA" | ||
}, | ||
"pounds.png": { | ||
"description": "Histogram for the pounds column of the animals dataset", | ||
"source": "Created by the Bootstrap Team", | ||
"license": "Creative Commons 4.0 - NC - SA" | ||
}, | ||
"weeks.png": { | ||
"description": "Histogram for the weeks column of the animals dataset", | ||
"source": "Created by the Bootstrap Team", | ||
"license": "Creative Commons 4.0 - NC - SA" | ||
} | ||
} |
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lessons/Data-Science/histograms-variability/langs/en-us/index.adoc
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= From Dot Plots to Histograms | ||
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@description{Students are introduced to Histograms by comparing them to bar charts, learning to construct them by hand and in the programming environment.} | ||
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@ifproglang{pyret}{ | ||
@lesson-prereqs{contracts-tables-visualizations, ds-intro} | ||
} | ||
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@ifproglang{codap}{ | ||
@lesson-prereqs{codap-dot-plots-bar-charts} | ||
} | ||
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@keywords{histogram, bin, interval} | ||
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@add-to-lang{histogram} | ||
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[@lesson-intro-table] | ||
|=== | ||
| Lesson Goals | ||
| Students will be able to... | ||
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@objectives | ||
@objective{histograms-pyret} | ||
@objective{Make charts displaying frequency in Pyret and interpret them.} | ||
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| Student-facing Lesson Goals | ||
| | ||
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- Let's create histograms for datasets and learn how to interpret them. | ||
| Materials | ||
|[.materials-links] | ||
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@material-links | ||
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| Preparation | ||
| | ||
@preparation{ | ||
- There is an interactive Desmos activity in the lesson, as well as Desmos formative assessments. | ||
* Open the Desmos activity you plan to use (@starter-file{histograms}, @assessment{histograms-check1-desmos}, or @assessment{histograms-check2-desmos}) and make a code or link to share with students. | ||
* If you are using our Google Slides, add the appropriate link to the slide deck. | ||
* _If you're a first-time Desmos user, fear not!_ @dist-link{pages/desmos-instructions.adoc, _Here's what you need to do._} | ||
- There is an optional kinesthetic activity in this lesson that requires a ball of play-dough for each group of 3. | ||
} | ||
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| Assessments | ||
| @assessments | ||
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|=== | ||
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== Introduction to Dot Plots | ||
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=== Overview | ||
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=== Launch | ||
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=== Investigate | ||
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=== Synthesize | ||
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== From Dot Plots to Histograms | ||
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=== Overview | ||
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=== Launch | ||
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A histogram is another data visualization commonly used to display quantitative data. Let's explore the ways that histograms are similar to and different from dot plots. | ||
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@QandA{ | ||
@Q{What do you Notice about the dot plot (left) and the histogram (right), which both display the same quantitative dataset?} | ||
@A{Possible responses: the histogram has bars that are touching; I can see that the gaps and peaks are in the same place; I can't see individual data points.} | ||
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@Q{What do you Wonder about the dot plot and histogram?} | ||
@A{Possible responses: Why do we need two displays that are so similar? How do I read and interpret a histogram? What are histograms useful for?} | ||
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[cols="^.^8a,^.^1,^.^8a", frame="none", grid="none"] | ||
|=== | ||
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| @image{images/pounds.png, 350} | | @image{images/pounds.png, 350} | ||
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|=== | ||
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} | ||
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=== Investigate | ||
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Now, let's think more deeply about the sort of information that dot plots and histograms provide us. | ||
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@lesson-instruction{ | ||
- Turn to @printable-exercise{compare-dot-plots-histograms.adoc}. At the top of the page, there is a dot plot on the left and a histogram on the right. | ||
- First: Use *only the dot plot* to answer the questions. Record your responses in the *middle* column of the table. If there is a question that you *cannot* answer, put an X. | ||
} | ||
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Next, we'll use a histogram to answer the same questions. | ||
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@QandA{ | ||
@Q{Given that this is your first time interpreting a histogram: What questions do you have about doing reading a histogram?} | ||
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@A{Possible questions include: | ||
- *How is this different from a bar chart?* Histograms show the distribution of quantitative data, not categorical. Histograms' bars cannot be reordered, as they allow us to see the shape of a dataset. We can reorder bars in a bar chart. | ||
- *Are the values on the tick marks included in the bar?* On a histogram, each bar _includes_ the left-end value but not the right-end value.} | ||
- *How was the size of the intervals (bins) determined?* We will explore this in a different lesson; bin size varies depending on the data being displayed. | ||
} | ||
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@lesson-instruction{ | ||
- Return to @printable-exercise{compare-dot-plots-histograms.adoc}. | ||
- Use *only the histogram* to answer the same set of questions. Record your responses in the *right-hand* column of the table. If there is a question that you cannot answer, put an X. | ||
- Respond to the questions in the Reflection section. | ||
} | ||
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@teacher{Invite students to share their responses, emphasizing the important idea that histograms display aggregate information rather than individual cases.} | ||
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@strategy{Histograms Don't Display Individual Data Points!}{ | ||
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Dot plots and histograms have a lot in common... so why is interpreting histograms a challenge for many students? | ||
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According to research conducted by Bakker, Biehler, and Konold (2014), students are inclined to view data as _individual cases_. Histograms, however, display _aggregate information_. | ||
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How do we prevent this misconception? The authors have two recommendations: | ||
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- Spend ample time learning about data visualizations _where individual cases are visible_ to establish a solid foundation. | ||
- When aggregate plots *are* introduced, pair them with representations that allow students to see individual cases. | ||
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} | ||
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Lets think more deeply about dot plots and histograms, two data visualizations of both the frequency and distribution of quantitative data. | ||
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@lesson-instruction{ | ||
- Complete @printable-exercise{match-dot-plots-histograms.adoc}. | ||
- What was your strategy for matching dot plots and histograms? | ||
} | ||
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=== Synthesize | ||
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@QandA{ | ||
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@Q{How are the two displays alike?} | ||
@A{They both display the frequency and distribution of quantitative data. They both show the total number of values.} | ||
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@Q{How are the two displays different?} | ||
@A{We can see individual points on the dot plot, but on the histogram, we just get a collective overview of the data. There is no way to single out one particular animal's weight on the histogram.} | ||
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@Q{When might a histogram be more useful than a dot plot? WHen might a dot plot be more useful than a histogram?} | ||
@A{If we have a large dataset and we want to get a collective overview of the data, a histogram would be more useful. If we need to look at individual data points in a smaller dataset, we should use a dot plot.} | ||
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} |
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...ence/histograms-variability/langs/en-us/pages/compare-dot-plots-histograms.adoc
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= Comparing Dot Plots and Histograms | ||
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== Notice and Wonder | ||
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@vspace{1ex} | ||
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[cols="^.^1a,^.^1a"] | ||
|=== | ||
| @image{../images/weeks.png, 250} | @image{../images/weeks.png, 250} | ||
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|=== | ||
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@n What do you Notice about the dot plot (left) and the histogram (right), which both display the same quantitative dataset (weeks at the shelter)? @fitb{}{} | ||
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@fitb{}{} | ||
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@fitb{}{} | ||
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@n What do you Wonder? @fitb{}{} | ||
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@fitb{}{} | ||
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@fitb{}{} | ||
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== Dot Plots versus Histogram | ||
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@vspace{1ex} | ||
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[cols="<.^4a,^.^1a, ^.^1a", options="header", shading="none"] | ||
|=== | ||
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| Question | Dot Plot | Histogram | ||
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| (a) How many animals were in the shelter for fewer than 10 weeks? | | | ||
| (b) How many animals were in the shelter for exactly 30 weeks? | | | ||
| (c) What is the longest amount of time that an animal stayed in the shelter? | | | ||
| (d) How many animals were in the shelter for at least 5 weeks but not more than 25? | | | ||
| (e) Are there any gaps in the data? | | | ||
| (f) Are there any peaks in the data? | | | ||
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|=== | ||
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== Reflect | ||
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@n When you answered the questions using the dot *plot*: | ||
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... Which questions were *easy* to answer? @fitb{10em}{} | ||
... Which questions were *hard* to answer? @fitb{10em}{} | ||
... Which questions were *impossible* to answer? @fitb{10em}{} | ||
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@n When you answered the questions using the *histogram*: | ||
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... Which questions were *easy* to answer? @fitb{10em}{} | ||
... Which questions were *hard* to answer? @fitb{10em}{} | ||
... Which questions were *impossible* to answer? @fitb{10em}{} | ||
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|
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...cience/histograms-variability/langs/en-us/pages/match-dot-plots-histograms.adoc
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= Comparing Dot Plots and Histograms | ||
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== Notice and Wonder | ||
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@vspace{1ex} | ||
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[cols="^.^1a,^.^1a"] | ||
|=== | ||
| @image{../images/weeks.png, 250} | @image{../images/weeks.png, 250} | ||
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|=== | ||
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@n What do you Notice about the dot plot (left) and the histogram (right), which both display the same quantitative dataset (weeks at the shelter)? @fitb{}{} | ||
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@fitb{}{} | ||
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@fitb{}{} | ||
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@n What do you Wonder? @fitb{}{} | ||
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@fitb{}{} | ||
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@fitb{}{} | ||
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== Dot Plots versus Histogram | ||
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@vspace{1ex} | ||
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[cols="<.^4a,^.^1a, ^.^1a", options="header", shading="none"] | ||
|=== | ||
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| Question | Dot Plot | Histogram | ||
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| (a) How many animals were in the shelter for fewer than 10 weeks? | | | ||
| (b) How many animals were in the shelter for exactly 30 weeks? | | | ||
| (c) What is the longest amount of time that an animal stayed in the shelter? | | | ||
| (d) How many animals were in the shelter for at least 5 weeks but not more than 25? | | | ||
| (e) Are there any gaps in the data? | | | ||
| (f) Are there any peaks in the data? | | | ||
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|=== | ||
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== Reflect | ||
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@n When you answered the questions using the dot *plot*: | ||
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... Which questions were *easy* to answer? @fitb{10em}{} | ||
... Which questions were *hard* to answer? @fitb{10em}{} | ||
... Which questions were *impossible* to answer? @fitb{10em}{} | ||
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@n When you answered the questions using the *histogram*: | ||
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||
... Which questions were *easy* to answer? @fitb{10em}{} | ||
... Which questions were *hard* to answer? @fitb{10em}{} | ||
... Which questions were *impossible* to answer? @fitb{10em}{} | ||
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|
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lessons/Data-Science/histograms-variability/langs/en-us/pages/workbook-pages.txt
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compare-dot-plots-histograms.adoc |
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lessons/Data-Science/histograms-variability/langs/en-us/proglang.txt
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pyret | ||
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