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Political AnalysisReleased: June 15, 2024

Parliament Analysis

A searchable look at parliamentary proposals, voting patterns, and party behavior in Turkey.

D3.jsReactPythonPandas
Open projectView source

My roleData analysis, story framing, and interactive development

Parliament Analysis

Subject

Legislative data

Proposals and party behavior are translated into searchable views.

Interface

React + D3

Readers can compare patterns instead of working through raw records.

Data work

Python + Pandas

The source material is cleaned and structured before publication.

Why I made it

Parliamentary records matter, but their official form is difficult to read at scale. I built a clearer way to explore who proposed what, how parties behaved, and how those patterns changed.

What I built

  1. 01

    Cleaned and structured the parliamentary records with Python and Pandas.

  2. 02

    Built React and D3 views for searching, filtering, and comparing the data.

  3. 03

    Added editorial context so the interface explains the patterns without closing off exploration.

The key decision

The hard part was reducing institutional complexity without hiding it. I kept the original categories traceable while giving readers a much simpler path through the records.

Under the hood

Python and Pandas prepare the source records, while React and D3 power the searchable reader-facing interface.

Outcome

The project turns difficult institutional records into a tool that readers can inspect directly.

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