Data Sources: MarketCapWatch.

We selected only publicly listed Japanese companies (Market Cap>USD $10 Billion) with significant operations in the white goods sector (large household appliances such as refrigerators, washing machines, and air conditioners). Market cap data as of Aug 22, 2025 (converted to USD where appropriate).

I visualized the 3 sector model of the economy, indicating the size of the labor force in each component. Where available, each sector is also broken down into subsectors, allowing you to see the relative GDP per workers for each sector (with some idea about what kinds of subsectors are most productive).

There is a more detailed version for desktop; I originally posted this on r/dataisbeautiful and got some criticism for the choice of groups, I think I've refined it more this time.

please give me feedback on what I could improve and what isn't clear, thanks :)

I created this infographic to highlight 11 essential DevOps tools that teams use to modernize infrastructure.

It includes various categories such as:

• Infrastructure as Code (IaC): Terraform, AWS CloudFormation
• Configuration Management: Ansible, Chef
• CI/CD Tools: BuildPiper, Jenkins, GitLab
• Monitoring and Security: Prometheus, Grafana, Aqua Security
• Secret Management: Hashicorp Vault

The idea was to create a quick visual reference for DevOps engineers and teams planning modernization initiatives.

👉 What other tools would you add to this list? Do you think there are emerging solutions that should be included in the next version?

Source: Market capitalization (USD) as of Aug 2025, sourced from MarketCapWatch, Nasdaq’s 2025 defense stock review, and Forbes’ 2025 defense picks, cross‑checked with recent filings.

Data Sources: Market capitalization figures were collected from MarketCapWatch as of mid‑2025, ensuring consistent currency conversion to USD. Chocolate/confectionery sales data was drawn from the latest publicly available market research published by ExpertMarketResearch.com and EmergenResearch.com.

This original research compares total visits to the top 10 AI chatbots and search engines from April 2024 to March 2025. Despite 81% YoY growth to 55.2 billion visits, AI chatbots still account for just 2.96% of search engine traffic—showing a 34x gap. Google leads with 1.63 trillion visits, 26x more daily traffic than ChatGPT. Data sourced from Semrush and the study by OneLittleWeb.

Every tech boom has a few quiet winners. In the AI era, data storage companies are one of them.

Since the start of the AI boom, companies like Seagate pulling ahead with a ~$31.2B market cap in 2025, with Western Digital trailing but still riding the AI wave. From 2020 to 2025, data storage companies are seeing major gains as cloud providers and enterprises scrambled to store AI workloads and training datasets.

AI models don’t just need compute, they require tangible permanent storage. Traditional hard drives remain the cost-effective backbone for:

• Cloud storage expansion
• AI training data repositories
• Enterprise hybrid cloud setups
• Hyperscale data centers

It’s a reminder that storage demand doesn’t disappear when the training run ends—the data has to live somewhere.

Data sources: Yahoo Finance

Tools used: AVA Data Visualization

Source: MarketCapWatch - A website that ranks all listed companies worldwide