Trading Analysis Blog

Market Insights, Performance Review & Strategy Notes

System Notice: 現在バックエンド改修・テスト中のため、同一タイトルの投稿が複数表示される場合があります。最新の日付を参照してください。

TidyTuesday: Game adaptations on screen: budgets, box office, and scores

TidyTuesday

Statistics

Exploring TidyTuesday’s game_films: theatrical video game adaptations, their budgets, grosses, and critic scores

Jun 2, 2026

chokotto

MakeoverMonday: US Migration as a Flow Network — From Choropleth to Origins and Destinations

MakeoverMonday

Python

Finance

Rethinking US migration by emphasizing origin–destination flows; I prototype encodings on a 5,470‑city link graph to stress‑test layout

May 18, 2026

chokotto

TidyTuesday: Mapping the global city link network (Wikidata Q-IDs)

TidyTuesday

Finance

TidyTuesday 2026-05-12 city links: mapping 5,470 cities and 10,596 edges from Wikidata Q-IDs

May 12, 2026

chokotto

MakeoverMonday: Mapping a Global City Network — 5,470 nodes, 10,596 ties

MakeoverMonday

Python

Finance

Reframing the 5,470-city, 10,596-link graph (Wikidata QIDs) into a map to surface geographic hubs

May 11, 2026

chokotto

TidyTuesday: Italian industrial production (ISTAT)

TidyTuesday

Data Viz

Economics

Beer, textiles, and shipbuilding in Italy: 150 years of official industrial production series from ISTAT (food & beverages, textiles, transport)

May 5, 2026

chokotto

MakeoverMonday: Recreational water quality - bacteria trends by region

MakeoverMonday

Python

Data Viz

Regional trends in enterococci (CFU / 100 ml) at NSW swim sites from Beachwatch monitoring, inspired by the 2025 Makeover Monday Thames / Fulham Reach brief

May 4, 2026

chokotto

TidyTuesday: Global Health Spending - Public, Private, and Out-of-Pocket

TidyTuesday

Data Viz

WHO GHED data on current health expenditure, financing schemes, and curative vs preventive shares for 2023 across countries

Apr 28, 2026

chokotto

MakeoverMonday: Global Oil Production - Who Still Moves the Map

MakeoverMonday

Python

Data Viz

Country-level oil output in terawatt-hours from Our World in Data: top producers, trajectories since 1990, and shifting shares of the world total

Apr 27, 2026

chokotto

MakeoverMonday: Global EV Sales by Region - Who Leads Adoption

MakeoverMonday

Python

Data Viz

Battery and plug-in sales from IEA via Our World in Data: China, Europe, US, and the rest of the world compared over time

Apr 21, 2026

chokotto

TidyTuesday: Repair Cafes - What Can (and Can’t) Be Fixed

TidyTuesday

Data Viz

Analyzing 200K+ repair attempts across 40 countries to find what breaks, what gets fixed, and where the repair movement is growing fastest

Apr 15, 2026

chokotto

TidyTuesday: Bird Sightings at Sea - New Zealand Logbooks

TidyTuesday

Data Viz

Seabird counts from 10-minute ship surveys near New Zealand (1969-1990): species, season, wind, and geography

Apr 14, 2026

chokotto

MakeoverMonday: Global Oil Production - Who Still Moves the Map

MakeoverMonday

Python

Data Viz

US overtakes Russia and Saudi Arabia while OPEC share shrinks - how 50 years of oil production reshaped the global energy map

Apr 14, 2026

chokotto

TidyTuesday: Coastal Ocean Temperature - How Warming Reaches the Depths

TidyTuesday

Climate

Data Viz

7 years of daily ocean temperatures at 7 depths reveal how warming penetrates coastal waters differently by season and depth

Apr 8, 2026

chokotto

MakeoverMonday: AI Workslop - The Hidden Cost of AI-Generated Noise

MakeoverMonday

Python

Productivity

Workers spend 4.5 hours/week cleaning up AI mistakes - Finance teams hit hardest with 85% reporting negative consequences

Apr 7, 2026

chokotto

TidyTuesday: One Million Digits of Pi - Patterns in Randomness

TidyTuesday

Mathematics

Data Viz

Exploring whether the digits of pi are truly uniform - frequency, convergence, streaks, and visual structure in 1M digits

Mar 31, 2026

chokotto

MakeoverMonday: London Unemployment - Young Londoners Hit Hardest

MakeoverMonday

Python

Economics

Data Viz

London leads UK regions in unemployment at 7.7%, with youth rates reaching 24.6% - a 35% surge in one year

Mar 30, 2026

chokotto

TidyTuesday: Olympic Schedule 2026 — When Complexity Peaks

TidyTuesday

Sports

System

Mapping the density, rhythm, and structural imbalance of 1,866 events across the Milan-Cortina 2026 Winter Olympics

Mar 24, 2026

chokotto

MakeoverMonday: Fastest Cars in the World — Speed, Power, and the Price of Extremes

MakeoverMonday

Python

Automotive

Data Viz

Mapping the relationship between top speed, horsepower, price, and exclusivity across the world’s 8 fastest production cars

Mar 23, 2026

chokotto

TidyTuesday: How Likely is ‘Likely’? - The Risk Hidden in Probability Words

TidyTuesday

Risk

Communication

Visualizing how 5,000+ people interpret common probability phrases and why verbal uncertainty creates decision risk

Mar 17, 2026

chokotto

MakeoverMonday: Mario Game Sales - Nintendo’s Compounding Franchise Engine

MakeoverMonday

Python

Gaming

Business

Franchise lifecycle, platform transitions, and hit concentration across 40 years of Mario titles

Mar 16, 2026

chokotto

TidyTuesday: Attention Analysis - SOFI vs IONQ

TidyTuesday

Finance

Social Sentiment

Static panel visualization of Reddit attention metrics (z-score, Share of Attention) with price overlay and bottom candidate detection

Feb 24, 2026

chokotto

MakeoverMonday: Attention Dashboard - SOFI vs IONQ

MakeoverMonday

Python

Finance

Social Sentiment

Reddit attention metrics (Raw Count, Share, z-score) overlaid with price data to identify bottom candidates

Feb 23, 2026

chokotto

TidyTuesday: Reddit Comment Counts - SOFI vs IONQ

TidyTuesday

Finance

Social Sentiment

Comparing daily Reddit discussion volume for SOFI and IONQ across investment subreddits with ggplot2

Feb 18, 2026

chokotto

MakeoverMonday: Reddit Comment Counts - SOFI vs IONQ

MakeoverMonday

Python

Finance

Social Sentiment

Comparing daily Reddit discussion volume for SOFI and IONQ across investment subreddits over the past 14 days

Feb 17, 2026

chokotto

TidyTuesday: Risk Valuation Matrices

TidyTuesday

Data Viz

Finance

Risk

Six risk matrices - R-multiple vs winrate, drawdown vs recovery, expectancy, losing streaks, exponential growth, consecutive losses - with ggplot2

Feb 11, 2026

chokotto

MakeoverMonday: Risk Valuation Matrices

MakeoverMonday

Data Viz

Python

Finance

Risk

Six risk matrices — R-multiple vs winrate, drawdown vs recovery, expectancy, losing streaks, exponential growth, consecutive losses — with your trading data

Feb 10, 2026

chokotto