Scatter plot
A scatter plot is a chart that represents observations as points positioned according to their values on two or more coordinate axes.
Pandas Workout: 200 exercises to make you a stronger data analyst
A scatter plot displays individual observations as points positioned according to two numerical variables.
- How it is used
- Explores relationships between numeric DataFrame columns and visually checks correlation patterns.
- How deep it goes
- Works through pandas and Seaborn plotting calls, filtering, grouping, color encoding, and scatter matrices rather than plotting internals.
- Examples
- Uses city coordinates, weather temperatures, taxi trips, oil prices, ice cream, miles driven, and university tuition data.
- What you can do after
- Apply it via pandas or Seaborn to plot two numeric columns, filter observations, and encode groups with color or markers.
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Effective Data Analysis
A scatterplot is a graph that displays paired numerical observations as points to reveal relationships between variables.
- How it is used
- Visualizes correlations and communicates potentially useful relationships before complete statistical modeling.
- How deep it goes
- Explains point-based relationship inspection, linearity checks, and regression overlays, while deferring comprehensive predictive analysis.
- Examples
- Uses rat sightings versus weather and production-cost variables versus product margin as analytical examples.
- What you can do after
- Evaluate relationships visually, communicate correlation findings, and prepare variables for regression analysis.
Statistics Every Programmer Needs
A scatterplot is a two-dimensional graph that represents paired observations as points to show relationships between variables.
- How it is used
- Supports exploratory analysis before regression by revealing relationships, patterns, outliers, and potential modeling problems.
- How deep it goes
- Explains points, axes, relationship direction, outliers, and regression fit, but does not provide the complete plotting implementation here.
- Examples
- Uses eight paired observations, a fitted regression line, a highlighted point, and positive, negative, and neutral relationship figures.
- What you can do after
- Apply via Matplotlib to inspect paired numeric data and investigate potential outliers before fitting or evaluating regression models.
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Starting Data Analytics with Generative AI and Python
A scatter plot is a chart that represents observations as points positioned according to two quantitative or categorical variables.
- How it is used
- Uses point positions and color to explore relationships and regional patterns during descriptive analysis.
- How deep it goes
- Demonstrates data preparation and visual refinement, but defers detailed interpretation and further analysis.
- Examples
- Demonstrates delivery time by customer state and seller state, including a log-scaled, consistently ordered scatter plot.
- What you can do after
- Apply it via Python, pandas, Matplotlib, and Seaborn to inspect patterns in prepared business data.
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Statistics Slam Dunk
A scatterplot displays observations as points positioned by the values of two variables, or by one variable against an index or sequence.
- How it is used
- Uses indexed points to inspect distributions and possible outliers during exploratory data analysis.
- How deep it goes
- Demonstrates R construction and interpretation, but stops short of making visual outlier identification definitive.
- Examples
- Uses hustle deflections, indexed observation positions, annotations, and side-by-side histogram and boxplot comparisons.
- What you can do after
- Apply it via R’s qplot to inspect a variable and compare suspected outliers with other visualizations.
Build Financial Software with Generative AI (From Scratch)
A scatterplot is a visualization that represents paired quantitative observations as points positioned on two axes.
- How it is used
- Uses paired ACH-batch measures to spot unusually large dollar amounts or item counts and support future fraud detection and risk management.
- How deep it goes
- Defines a Recharts component, transforms totals, configures axes and rendering, then discusses tooltip, tick, and color tradeoffs.
- Examples
- Uses ACH batches plotted by record count and total credits plus debits, with company-specific colors and an integrated batch view.
- What you can do after
- Build it from scratch as a typed Recharts component that renders supplied ACH batches and highlights company-specific points.
Read how Build Financial Software with Generative AI (From Scratch) explains scatter plot →
D3.js in Action, Third Edition
A scatterplot displays a collection of data points positioned along coordinate axes to show relationships between variables.
- How it is used
- Builds relationship visualizations by assembling axes, scales, bound data, and circles.
- How deep it goes
- Explains construction, encodings, filtering, animation, and DOM integration without developing statistical interpretation.
- Examples
- Uses temperature records, cetacean populations, framework retention and user counts, and animated regional filters.
- What you can do after
- Build it from scratch with D3 using axes, scales, circles, data joins, additional encodings, and animated filtering.
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Delivering Machine Learning Projects: From design to deployment
A scatter plot is a graph that represents paired observations as points on coordinate axes.
- How it is used
- Uses paired-variable plots during exploratory data analysis to reveal dataset properties and challenge misleading summary statistics.
- How deep it goes
- Explains visual inspection and sampling implications, but stops short of plotting mechanics or statistical derivation.
- Examples
- Uses Anscombe’s Quartet and restaurant tips-versus-bills data to expose differing relationships and dispersal.
- What you can do after
- Evaluate data relationships visually, detect misleading summaries and uneven dispersal, and improve sampling decisions for modeling.
Read how Delivering Machine Learning Projects: From design to deployment explains scatter plot →
Related concepts
- datasetuses · A dataset is an organized collection of related data items, records, or observations treated as a unit for storage, processing, analysis, or computation.
- latitudeuses · Latitude is the angular geographic coordinate specifying a location’s position north or south of the equator.
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