Report Showcase

Team Performance Radar Chart

Radar / Spider Chart: Time of possession, Passing yards, Rushing yards, First downs, Total plays

Yards Metrics

Grouped Bar Chart : Total yards, Passing yards, Rushing yards, Yards per play

Top 10 Grouped Bar Plots

top 10 "grouped bar plot"

Pie Plot Total Others

"pie plot" for "Total", merge to Others under 5

CPI Prediction 2026 Range

Range Bar Chart with color and explain

Top 10 Highest Grossing Films 2025

Top 10 Bar Chart (Ranked) X-axis: Film Title (Ranked by Rank), Y-axis: Gross

Market Share of Distributors by Total Gross Visualization

Make a Treemap , Sum of Total Gross (Grouped by Distributor) To show the Market Share of each distributor in the dataset. This highlights the most financially dominant studios/distributors in the current sample. Merge to Others under 3%.

Gross vs. Total Gross: Film Revenue Visualization

top 10 Area Chart : Gross (Current) vs. Total Gross (Lifetime) To visually compare the current revenue contribution (Gross) to the film's overall financial success (Total Gross). For films like Wicked, the small Gross relative to the huge Total Gross shows it's a legacy title in its long run. For The Chosen, the two are equal, showing its performance in its initial window.

Total Sales Top 10 Developers

Top 10 Total Sales Console "stacked bar plot" by Developers, display total number, sort desc, looking good

Metacritic Score vs. Total Sales Scatterplot by Console

Scatterplot Metacritic Score vs Total Sales by Console¶

Germany vs. Slovakia: Match Statistics

Please generate a horizontal stacked proportional bar chart to visualize the following football match statistics for Germany vs. Slovakia. The chart should be structured as a series of horizontal bars, with one bar for each statistical metric. Each bar will represent 100% of the total value for that metric, proportionally divided between the two teams. Data Labels: The absolute value for each team (e.g., '22' and '6') must be displayed inside its respective colored segment on the bar. Metric Labels: Each bar should be clearly labeled with its metric name (e.g., 'Total Shots', 'Possession %'). Styling: Use clean, contrasting colors for the two teams to ensure readability. The text labels inside the bars should be easy to read (e.g., light-colored text on dark bars).

Germany's Goal-Scoring Events

Generate a Horizontal Timeline Chart (or Strip Plot) to visualize the goal-scoring events for Germany, based on the minute and player data。 Scale: The chart should display a continuous horizontal timeline from 0 to 90 minutes. Halves Visualization: Use distinct background shading (or vertical lines) to clearly separate the First Half (0-45 minutes) from the Second Half (46-90 minutes). Event Markers: Place a clear marker (e.g., a diamond or vertical line) on the main timeline for each goal minute. Annotations: Annotate each marker with the corresponding player's name and the minute of the goal (e.g., 'Sané (36)'). The text labels should be offset (alternating above and below the line) to prevent overlap.

Pump.Fun Monthly Revenue in USD: Line Plot

month revenue usd "line plot"

Daily Revenue USD Line Plot

"daily_revenue_usd" "line plot"

Locked vs Unlocked Total Committed USDT Pie Chart

Locked vs Unlocked "total_committed_usdt" "donut plot"

Locked vs Unlocked Unique Bidders Pie Chart

Locked vs Unlocked unique_bidders "pie plot"

Hourly Trends: Total Bids Across All Timeframes

Hourly trend showing total bids activity for All timeframe

Top 5 Gross

Top 5 Gross Revenue (Bar Chart) Chart Description: A Bar Chart should be constructed using the Top 5 'Release' titles on the X-axis and their 'Gross' revenue on the Y-axis, colored using a single, vibrant, cool color (e.g., a rich teal or deep blue) to convey professionalism and stability.

Top 5 Films Scatter Plot: Theaters vs. Average Gross with Highlighted Peak Performance

Top 5 Efficiency (Scatter Plot) Chart Description: A Scatter Plot should be created using the 'Theaters' count on the X-axis and 'Average' gross on the Y-axis for the Top 5 films based on 'Gross,' where all points are colored with a neutral shade like charcoal gray, reserving a pop of bright orange to highlight the movie with the highest 'Average' for maximum impact.

Weekly Change Rate Diverging Bar Chart for Films

Weekly Change Rate ($\% \pm LW$) (Diverging Bar Chart)Chart Description: A Diverging Bar Chart is ideal for plotting the '$\% \pm LW$' values, where warm red is used for negative drops (e.g., $-35.5\%$) and a contrasting cool green is used for positive changes (e.g., $+608.4\%$), focusing only on the films with valid change data (excluding new releases).

Top 10 Player by Total Points, Rebounds, and Assists

Make a "stacked bar plot" chart of Top 10 "pts"+"reb"+"ast" by "player_name" "season" Display "player_name" "season" on bar, show number on bar label

Top 10 Average USG% for Number One Picks

Make a Chart of "Top 10 average usg_pct as %", as Top 10 Number One Pick ... Data Filter: draft_number = 1

Scatter Plot: Volume vs. Efficiency

Scatter Plot: Volume vs. Efficiency Axes: average usg_pct (Usage Rate) vs. average ts_pct (True Shooting %). Filter data: Only show average pts >= 20 and average usg_pct> 0.3 or average ts_pct > 0.5 Display info: bubble small, one color show player_name, show avg pts.

Aster Monthly Trading Fees: Total Trade, Funding, Liquidation, Mint, and Burn

month "stacked bar plot" of "total_trade_fee" "total_funding_fee" "liqFee" "mintFeeUsd""burnFeeUsd", show thousand usd

Accumulated Income

"stacked line plot", only "Accumulated_income" in million.

Top 10 Views

top 10 "views" "bar plot"

Views vs. Hours Watched: Efficiency in Video Titles

top 10 Views vs. Hours Watched EfficiencyChart: Bubble Chart or Dual-Axis Line/Column Chart.Focus: Plotting views vs. hours for efficiency). Insight: Identify titles that drive high volume (views) versus those that capture high commitment (hours).

Top 10 Titles by View Reach Leaderboard

Reach Leaderboard (Views) Chart: Vertical Column Chart. Focus: Top 10 titles ranked by views (Total View Count/Reach). Color Design: Use a single-hue sequential gradient of a vibrant Blue (#407BFF to a lighter blue). The column for the highest-viewed title should be emphasized with a bold stroke or slightly darker saturation. Insight: Which titles have the broadest audience reach?

Football Performance Radar Chart

Radar / Spider Chart: Time of possession, Passing yards, Rushing yards, First downs, Tackles

Interactive Team Performance Radar Chart

Radar / Spider Chart: Time of possession, Passing yards, Rushing yards, First downs,  Tackles Create a comparative Radar Chart to visualize the team's performance against a specific opponent or the league average. Normalize all metrics onto a standardized scale (e.g., 0-100 or percentiles) to resolve scale discrepancies between time, yards, and counts. Group offensive metrics (Passing, Rushing, First Downs) and defensive metrics (Tackles) on adjacent axes to ensure logical data organization. Implement interactive tooltips that display the actual raw values (e.g., specific yardage or time) upon hovering. Apply distinct team colors with semi-transparent fill areas to clearly identify performance overlaps and gaps.

NFL Team Offensive Yardage Comparison

A stacked bar chart comparing the total offensive yardage breakdown between the Dallas Cowboys and Kansas City Chiefs. The chart has two vertical bars, one labeled "Dallas Cowboys" and the other "Kansas City Chiefs". Each bar is divided into two stacked segments with distinct colors: the bottom segment represents "Rushing Yards" and the top segment represents "Passing Yards". Data labels clearly show the yardage for each segment and the total height of the bar (e.g., Cowboys bar shows 137 Rushing + 320 Passing = 457 Total; Chiefs bar shows 119 Rushing + 243 Passing = 362 Total). The title of the chart is "Total Offense Breakdown: Passing vs. Rushing".

Platform 7day_average_% change.

"bar plot" of "Platform" "Δavg_7d", desc order, use some color

Platform Market Share (Last 7 Days)

"pie plot" of "Platform""market_share_7d", merge to other under 5%.

Friend or Enemy — Saudi Arabia

Create one chart:"100% Stacked Horizontal Bar Chart" of "Group", show "Category" and display percent number on bar. Use title : Friend or Enemy — Saudi Arabia .

All Adults History: Friend or Enemy — Saudi Arabia

Curve line plot of "Category" "Poll_Date" "Percentage", use title : [All Adults History] Friend or Enemy — Saudi Arabia

城市占地面积环形图

按照"城市"制作"占地面积"的"donut plot"

Top 10 County Bar Plot

统计数量最多的10个"区县"的"bar plot"，采用多色彩优化美观

城市床位数统计饼图

按照"城市"统计"床位数"的饼图

Top 10 Growth Rates

top 10 "Growth Rate" desc "bar plot"

Global Population Density 2022

"Continent" "Density (per km²)" "bar plot"

Top 10 30Years.Inc

top 10 "30Years.Inc"

Claimed and Unclaimed Addresses

use "address_claimed" and "unclaimed_address" to make "pie plot", display number and percent

$LINEA claimed

use "amount_claimed" and "amount_left" make "pie plot", display percent and amount.

Annual Storm Counts by Magnitude

Storm per Year per Magnitute

Tornado Fatalities Through the Years: Line Plot

Tornado Fatalities through the Years "line plot"

Monthly Tornado Frequency Histogram

Number of Tornadoes by Month, "histogram plot"

Daily Total LP Fees and Protocol Fees

Daily "total_lp_fees" and "total_protocol_fees" "stacked bar plot"

V4 and V0-V3 Protocol Fees by Block Date

"stacked bar plot" of "v4_protocol_fees" and "v0_v3_protocol_fees" by "block_date_no_time"

LP Fees for WETH and Clanker by Block Date

"lp_fees_weth" and "lp_fees_clanker" "stacked bar plot" by "block_date_no_time"