Codeless Visualization — Import Data, See Charts (Under Construction)

HARSH KUMARHARSH KUMAR
2 min read

Codeless Visualization is a tiny tool I’m building to turn raw files into clear visuals—without writing a single line of code. Bring your CSV or Excel. Get instant charts. That’s the idea.

🚧 Status: This project is under construction. You can read what’s coming and what already works below. New features are being added week by week.

Why this project?

Most of us have data sitting in spreadsheets. Making sense of it shouldn’t require a BI team. Codeless Visualization aims to give you one simple flow: import → understand → share.

What works today (alpha)

  • Import a CSV/XLSX and preview the table

  • Auto-detect basic column types (text, number, date)

  • Quick preview charts (draft: line, bar, donut) based on your columns

Note: Exports and saved dashboards are not live yet.

How it will work (soon)

  1. Drop your file (CSV/Excel; Google Sheets link next)

  2. The app profiles your columns (types, missing values, unique counts)

  3. It suggests charts (e.g., line for time series, bar for categories)

  4. You pin the ones you like to a mini dashboard

  5. Export visuals as PNG or share a link

Roadmap

  • 🔁 Save & reopen dashboards

  • 📊 More charts (histogram, box plot, heatmap)

  • 🧭 Time-grouping (day/week/month)

  • ✍️ Simple calculated fields (e.g., revenue = price × qty)

  • 🔒 Private, local-first processing

Who is it for?

  • Founders/product folks who need a quick dashboard

  • Marketers turning campaign sheets into visuals

  • Students learning EDA without code

Follow the build

If you want early access or have a dataset to test with, ping me. I’ll share the alpha link as soon as it’s stable.

🏗️ Under Construction: Features, UI, and performance will evolve. Expect rough edges for now—and fast improvements.

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Written by

HARSH KUMAR
HARSH KUMAR

Experienced Full Stack Developer with over 2 years of expertise in building responsive, scalable, and user-centric web applications. Proficient in developing dynamic frontend interfaces using React, Next.js, and Material UI, while seamlessly integrating backend services with Prisma ORM and real-time WebSocket communication. Strong foundation in Python-based web scraping, creating efficient tools for data extraction and analysis. Adept at managing databases, implementing payment gateways like Stripe, and designing admin dashboards for intuitive data visualization. Skilled in working within collaborative development environments, using Git for version control, and delivering successful projects for global clients across Australia and Europe.