Diverging Likert bar chart
Market Research — workplace satisfaction survey
Example from the compendium of canonical charts
Python Code
"""Market Research — Diverging Likert bar chart (workplace satisfaction survey)."""
from pathlib import Path
# ── Palette + theme (matching the Plotly Studio gallery these charts ship in) ──
VIOLET, TEAL, GREEN, PINK, ORANGE = "#845EEE", "#52B3D0", "#55B685", "#DA5597", "#E9A23B"
PRIMARY, SECONDARY = VIOLET, TEAL
COLORWAY = [VIOLET, TEAL, GREEN, PINK, ORANGE]
BG, TEXT, GRID, MUTED = "#ffffff", "#1c2024", "#d9d9e0", "#60646c"
FONT = "Inter, -apple-system, BlinkMacSystemFont, sans-serif"
COLORSCALE = [[0, "rgba(132, 94, 238, 0.05)"], [1, "rgba(132, 94, 238, 0.9)"]]
def apply_theme(fig):
"""Light gallery theme: white background, Inter font, soft gridlines."""
fig.update_layout(
paper_bgcolor=BG, plot_bgcolor=BG, colorway=COLORWAY,
font=dict(family=FONT, color=TEXT, size=12),
legend=dict(font=dict(color=TEXT)),
hoverlabel=dict(bgcolor="#f0f0f3", font=dict(color=TEXT, family=FONT), bordercolor=GRID),
)
fig.update_xaxes(gridcolor=GRID, linecolor=GRID, zerolinecolor=GRID)
fig.update_yaxes(gridcolor=GRID, linecolor=GRID, zerolinecolor=GRID)
def fetch_csv(url, **kwargs):
import io
import pandas as pd
import requests
r = requests.get(url, timeout=60)
r.raise_for_status()
return pd.read_csv(io.StringIO(r.text), **kwargs)
def fetch_json(url):
import requests
r = requests.get(url, timeout=60)
r.raise_for_status()
return r.json()
import plotly.graph_objects as go
# Hardcoded 5-point Likert survey (n=500): employee engagement statements
# Each entry: (statement, [SD%, D%, N%, A%, SA%]) — sums to 100
SURVEY = [
("I feel valued at work", [5, 10, 15, 40, 30]),
("Workload is manageable", [8, 22, 18, 35, 17]),
("Leadership communicates well", [6, 14, 20, 38, 22]),
("Growth opportunities available", [10, 18, 22, 32, 18]),
("Work-life balance is supported", [4, 12, 16, 42, 26]),
("Team collaborates effectively", [3, 8, 12, 45, 32]),
]
LEVEL_COLORS = {
"Strongly Disagree": PINK,
"Disagree": "#f0a8c0",
"Neutral": "#c8c8c8",
"Agree": "#7ec89a",
"Strongly Agree": GREEN,
}
def generate():
print("building diverging Likert chart (hardcoded workplace survey) …")
items = [row[0] for row in SURVEY]
sd = [row[1][0] for row in SURVEY]
dg = [row[1][1] for row in SURVEY]
nt = [row[1][2] for row in SURVEY]
ag = [row[1][3] for row in SURVEY]
sa = [row[1][4] for row in SURVEY]
nt_half = [v / 2 for v in nt]
fig = go.Figure()
# Left side (negative x): Neutral-half closest to center, D next, SD outermost.
# Neutral is split so its center lands on zero.
fig.add_trace(go.Bar(
y=items, x=[-v for v in nt_half], orientation="h",
name="Neutral", marker_color=LEVEL_COLORS["Neutral"],
legendrank=3, showlegend=False,
hovertemplate="%{y}: %{customdata:.0f}% Neutral<extra></extra>",
customdata=nt,
))
fig.add_trace(go.Bar(
y=items, x=[-v for v in dg], orientation="h",
name="Disagree", marker_color=LEVEL_COLORS["Disagree"],
legendrank=2,
hovertemplate="%{y}: %{customdata:.0f}% Disagree<extra></extra>",
customdata=dg,
))
fig.add_trace(go.Bar(
y=items, x=[-v for v in sd], orientation="h",
name="Strongly Disagree", marker_color=LEVEL_COLORS["Strongly Disagree"],
legendrank=1,
hovertemplate="%{y}: %{customdata:.0f}% Strongly Disagree<extra></extra>",
customdata=sd,
))
# Right side (positive x): Neutral-half closest to center, then Agree, SA outermost.
fig.add_trace(go.Bar(
y=items, x=nt_half, orientation="h",
name="Neutral", marker_color=LEVEL_COLORS["Neutral"],
legendrank=3,
hovertemplate="%{y}: %{customdata:.0f}% Neutral<extra></extra>",
customdata=nt,
))
fig.add_trace(go.Bar(
y=items, x=ag, orientation="h",
name="Agree", marker_color=LEVEL_COLORS["Agree"],
legendrank=4,
hovertemplate="%{y}: %{customdata:.0f}% Agree<extra></extra>",
customdata=ag,
))
fig.add_trace(go.Bar(
y=items, x=sa, orientation="h",
name="Strongly Agree", marker_color=LEVEL_COLORS["Strongly Agree"],
legendrank=5,
hovertemplate="%{y}: %{customdata:.0f}% Strongly Agree<extra></extra>",
customdata=sa,
))
fig.add_vline(x=0, line=dict(color=MUTED, width=1.5))
fig.update_layout(
barmode="relative",
xaxis=dict(
title="← Disagree | Agree →",
tickvals=[-70, -50, -25, 0, 25, 50, 70],
ticktext=["70%", "50%", "25%", "0", "25%", "50%", "70%"],
),
yaxis=dict(title=""),
legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="center", x=0.5),
margin=dict(t=80, b=60, l=220, r=40),
height=420,
)
apply_theme(fig)
return fig
fig = generate()
fig.show()
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