For this week’s #contraquest, I want to share the project that means the most to me. A Data Analy...For this week’s #contraquest, I want to share the project that means the most to me. A Data Analy...
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For this week’s #contraquest, I want to share the project that means the most to me.
A Data Analysis of the Film Noir Era (1940–1962)
On the surface, it’s a data pipeline: raw Excel, Python ETL, Tableau dashboard... The minor reason it’s special is that I stepped outside my comfort zone and used Tableau instead of my usual Power BI.
But the major reason is personal. This topic, American Film Noir, takes me back to my last year of high school, when I wrote a monograph on the genre’s Golden Age. Revisiting it now, through the lens of data analysis, felt like reconnecting with a piece of my past.
Check it out on my GitHub repo, or read the Medium article.
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Geethasree's avatar
Love how you framed this as more than just a pipeline. Starting from raw Excel and layering Python + Tableau really shows the full analytical journey. The personal connection to Film Noir makes the insights feel much more grounded.
Ciro's avatar
Thank you! 😊
Yevhenii's avatar
🔥 Love this = clean analysis + very personal angle.
Ciro's avatar
Thank you, Yevhenii!
Varghese's avatar
This is a beautiful example of how data becomes storytelling when personal passion meets technical rigor.
What stands out isn’t just the Excel → Python ETL → Tableau pipeline, but the intentional choice to step outside your comfort zone and reconnect with a formative part of...
Ciro's avatar
Thank you, Varghese!
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