Arsenal monthly PPG Line Chart

Line Chart PL xG Data with both xP and Points

This line chart visualizes Arsenal's expected goals (xG) data across Premier League matchweeks, comparing their xP (expected points) against actual Points earned. The visualization uses a red solid line for points and a green dashed line for xP, with both plotted against the same axis. Built with D3.js v7, the implementation uses `scaleLinear` for axes and the `line()` generator to create path elements. The data is loaded via `csvParse` from a GitHub gist containing the 2021-22 season statistics.

79% match

Scatter Plot PL xG Data with both xP and Points

This scatter plot visualizes Arsenal’s Premier League performance by overlaying actual points and expected points (xP) across matchweeks. Red and green circles distinguish the two metrics, with both plotted against the same axes. The visualization uses d3.scaleLinear for scales, d3.scaleOrdinal for coloring, and d3.axisLeft and d3.axisBottom for axes. Data is fetched as CSV and parsed with d3.csvParse, then filtered to Arsenal. The chart updates responsively with window dimensions and renders separate groups for points and xP values.

77% match

Scatter Plot PL xG Data

This scatter plot shows Arsenal’s points and expected points (xP) per matchweek across a Premier League season. A single SVG canvas displays two overlaid linear scales mapping matchweek to points and xP, with axes labeled accordingly. The code uses D3 v7 primitives like `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` from the `axes` module. Data is loaded via `csvParse` from a raw GitHub CSV, filtered for Arsenal, and rendered as circles using `selectAll('circle').join()`. The visualization clarifies how actual results compare to underlying performance metrics.

77% match

Final xP vs. Points for the 2021-2022 Premier League Season

This interactive scatter plot tracks Arsenal’s expected points (xP) and actual points across the 2021-2022 Premier League season. A sidebar of team crest buttons lets users switch teams, updating two overlaid line charts: a solid line for points and a dashed line for xP. Built with D3 v7, the visualization uses `scaleLinear`, `line`, and `axisBottom`/`axisLeft` from the `axes` module, with data fetched from CSV files via `csvParse`. A legend highlights line types, and hover effects scale crest images.

Table updated of PL xG Data with both xP and Points

This visualization displays Arsenal’s Premier League expected points (xP) and actual points across matchweeks, rendered as a table alongside a scatter plot with two overlaid line charts. The code uses D3 v7 APIs including `scaleLinear`, `line`, `axisLeft`, and `axisBottom` to draw axes and paths, while the table is built from parsed CSV data using `csvParse` and dynamic column mapping. Data comes from a GitHub-hosted CSV file, with xP and Points values converted to numbers.

Scatter Plot Simple PL xG Data

This scatter plot visualizes Arsenal's performance data from the 2021-22 Premier League season, displaying two overlapping datasets from a CSV file: actual points scored and expected points (xG) per matchweek. Both series appear as red and green circles plotted against matchweek on the x-axis, with no axes or labels visible. The visualization uses d3.scaleLinear for both coordinate mappings and d3.scaleOrdinal for color encoding, while data is fetched and parsed with d3.csvParse.

Scatter Plot Simple PL xG Data

Table of PL xG Data with both xP and Points

This example displays a table of Arsenal’s Premier League data, showing matchweek, expected points (xP), actual points, and expected points table position. The code fetches a CSV file from a GitHub gist, parses it with `d3.csvParse`, and filters rows for Arsenal. It builds an HTML table using D3’s selection and data-join methods, appending table headers and rows. The visualization also includes commented-out D3 line chart code using `d3.line()` and axes, but the active output is purely the tabular view.