3.5.1: Project Check-In 3
- Page ID
- 59114
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\(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)Project Check-In: Visualizing Your Housing Data
By this point in the semester, you’ve built a strong foundation for analyzing the housing dataset you’ve collected or been assigned:
- Data Overview: You wrote a short summary describing where your data came from, what it represents, and what region or question you’re exploring.
- Summary Statistics: You calculated basic descriptive statistics (mean, median, standard deviation, five-number summary) for at least one continuous variable.
- Visual Representations: Now it's time to deepen your understanding of that data by graphing it!
Goal of This Check-In
In this step, you’ll create a few appropriate visualizations based on the variables in your housing dataset. This is your chance to turn numbers into a story — showing patterns, trends, clusters, and outliers that might influence how people understand prices in a neighborhood, square footage across home types, or rental fluctuations over time.
What to Include
-
Create 2–3 Visualizations
Choose visuals appropriate for your data:- A bar chart or pie chart for a categorical variable (e.g., housing type, region, style)
- A histogram, boxplot, or dot plot for a quantitative variable (e.g., price, square footage)
- If collected over time, consider a time plot
-
Label and Caption Each Chart
For each graph you create, include:- Clear title and labeled axes
- A brief caption (1–2 sentences) explaining what it shows and why it's useful
- Optional: annotate or highlight any interesting features (peaks, gaps, trends, etc.)
-
Add These to Your Project Overview
Update your project write-up or slide deck so your visualizations follow your summary statistics section. You're starting to shape a narrative for your reader!
What to Consider as You Visualize
- Do my visuals reinforce or challenge what I saw in the summary statistics?
- Are there any trends, clusters, or potential outliers that are now more obvious?
- Does it look like my data is symmetric or skewed?
- What questions do these visualizations raise?
Project Builder: Where You Should Be Now
- Executive Summary (Project description + how data was collected)
- Summary Statistics Table (for at least one continuous variable)
- Visualizations added with captions + variable context
You’ll continue building and refining this throughout the next chapters — especially once we explore relationships between variables, begin comparing groups, and get into deeper analysis.
Optional Extension
If working in Google Sheets or Excel: try sorting your dataset by one variable before visualizing it. Does that sorting reveal new shapes or gaps that weren’t as visible before?


