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2026

Data Visualization System

  • Java
  • JavaFX
  • AtlantaFX
  • Gson
  • JUnit
  • jpackage
  • Inno Setup
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Overview

A desktop app that detects column types in a CSV file or a pasted table and builds a dashboard of charts with grouping, aggregation and filters. It ships with ready-made dashboards for three real open datasets (Our World in Data, NASA, Istanbul Municipality).

01 · Problem

Real-world CSV files are messy: different encodings and delimiters, Turkish number and date formats, missing headers and broken rows. Turning such data into meaningful charts quickly means either fighting with Excel or moving to a large business intelligence tool.

02 · Solution

I built a desktop app in Java and JavaFX: It detects the file's encoding, delimiter, header row, number format and column types by itself. It offers seven chart types, with date grouping, breakdowns, top N and a colour-blind friendly palette. Filters can apply to the whole dashboard or to a single chart. Charts can be exported as PNG and their data as CSV, with protection against formula injection. Dashboards are saved as validated JSON project files. I wrote a small grouping and aggregation engine that computes everything in a single pass.

03 · Outcome

A Turkish and English app with light and dark themes, distributed as a Windows installer. It opens with ready-made dashboards built on real, properly licensed open data (CO₂ emissions, global temperature, Istanbul dam levels). It has 29 unit tests and passes a sweep of more than 61,000 chart combinations without errors.