Chartgeist-Style Venn Diagram with Labeled Items — lets-plot

An editorial, WIRED "Chartgeist"-style three-circle Venn diagram where pop-culture items — products, people, trends, apps — are plotted as labeled points inside each zone rather than represented as numeric counts. Three overlapping circles define witty, opinionated categories (e.g., "Overhyped", "Actually Useful", "Secretly Loved"), and each item lives in exactly one of the seven interior regions (or outside all circles). Unlike a classic proportional Venn, the "data" here is categorical set-membership plus a human label, making the plot ideal for commentary, taxonomy, and discussion rather than quantitative analysis.

Chartgeist-Style Venn Diagram with Labeled Items rendered with lets-plot

Python source (lets-plot)

""" anyplot.ai
venn-labeled-items: Chartgeist-Style Venn Diagram with Labeled Items
Library: letsplot 4.9.0 | Python 3.14.4
Quality: 87/100 | Created: 2026-04-25
"""

import os

import numpy as np
import pandas as pd
from lets_plot import (
    LetsPlot,
    aes,
    coord_fixed,
    element_blank,
    element_rect,
    geom_polygon,
    geom_text,
    ggplot,
    ggsave,
    ggsize,
    theme,
    theme_void,
)


LetsPlot.setup_html()

# Theme tokens
THEME = os.getenv("ANYPLOT_THEME", "light")
PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F"

# Okabe-Ito categorical (positions 1, 2, 3)
COLOR_A = "#009E73"
COLOR_B = "#C475FD"
COLOR_C = "#4467A3"

# Geometry — three equally sized overlapping circles
RADIUS = 1.5
centers = {"A": (-0.85, 0.50), "B": (0.85, 0.50), "C": (0.00, -1.00)}
circle_meta = [
    {"key": "A", "name": "Overhyped", "color": COLOR_A},
    {"key": "B", "name": "Actually Useful", "color": COLOR_B},
    {"key": "C", "name": "Secretly Loved", "color": COLOR_C},
]

theta = np.linspace(0, 2 * np.pi, 240)

# Items distributed across the seven interior zones (+ outside)
items = [
    # A — Overhyped
    ("NFTs", -2.00, 1.05),
    ("Metaverse", -2.05, 0.55),
    ("Smart Fridges", -1.95, 0.05),
    # B — Actually Useful
    ("Google Maps", 2.00, 1.05),
    ("Spreadsheets", 2.05, 0.55),
    ("Calendar Apps", 1.95, 0.05),
    # C — Secretly Loved
    ("Roller Skating", -0.75, -2.05),
    ("Soap Operas", 0.75, -2.05),
    # A ∩ B
    ("ChatGPT", 0.00, 1.20),
    ("Smartwatches", 0.00, 0.85),
    # A ∩ C
    ("Crocs", -1.05, -0.20),
    ("Vinyl Records", -1.00, -0.60),
    # B ∩ C
    ("Dolly Parton", 1.05, -0.20),
    ("Spotify", 1.00, -0.60),
    # A ∩ B ∩ C
    ("Sourdough", 0.00, 0.15),
    ("TikTok", 0.00, -0.30),
    # outside
    ("Beige Walls", -3.10, -2.50),
]
items_df = pd.DataFrame(items, columns=["label", "x", "y"])

# Plot
plot = ggplot() + coord_fixed(xlim=[-4.0, 4.0], ylim=[-3.5, 3.5])

# Three overlapping circles with semi-transparent fills
for c in circle_meta:
    cx, cy = centers[c["key"]]
    circle_df = pd.DataFrame({"x": cx + RADIUS * np.cos(theta), "y": cy + RADIUS * np.sin(theta)})
    plot = plot + geom_polygon(
        aes(x="x", y="y"), data=circle_df, fill=c["color"], color=c["color"], alpha=0.22, size=1.4
    )

# Item labels (serif, INK)
plot = plot + geom_text(aes(x="x", y="y", label="label"), data=items_df, size=8, family="serif", color=INK)

# Category names outside each circle, in the circle's color
plot = plot + geom_text(
    x=-2.40, y=1.95, label="Overhyped", size=13, family="serif", fontface="bold", color=COLOR_A, hjust=1.0
)
plot = plot + geom_text(
    x=2.40, y=1.95, label="Actually Useful", size=13, family="serif", fontface="bold", color=COLOR_B, hjust=0.0
)
plot = plot + geom_text(
    x=0.00, y=-2.85, label="Secretly Loved", size=13, family="serif", fontface="bold", color=COLOR_C, hjust=0.5
)

# Hint label for the "outside" item cluster
plot = plot + geom_text(
    x=-3.10,
    y=-2.20,
    label="(neither here nor there)",
    size=6,
    family="serif",
    fontface="italic",
    color=INK_MUTED,
    hjust=0.5,
)

# Editorial kicker + canonical anyplot.ai title line
plot = plot + geom_text(
    x=0, y=3.20, label="Chartgeist 2026", size=18, family="serif", fontface="bold_italic", color=INK, hjust=0.5
)
plot = plot + geom_text(
    x=0, y=2.70, label="venn-labeled-items · letsplot · anyplot.ai", size=7, family="serif", color=INK_MUTED, hjust=0.5
)

# Theme — gridless editorial background
plot = (
    plot
    + theme_void()
    + theme(
        plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
        panel_background=element_rect(fill=PAGE_BG, color=PAGE_BG),
        legend_position="none",
        axis_text=element_blank(),
        axis_title=element_blank(),
        axis_ticks=element_blank(),
    )
)

plot = plot + ggsize(1200, 1200)

# Save
ggsave(plot, f"plot-{THEME}.png", path=".", scale=3)
ggsave(plot, f"plot-{THEME}.html", path=".")

Part of Chartgeist-Style Venn Diagram with Labeled Items on anyplot.ai.

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