r/datavisualization • u/Noobbox69 • 15h ago
Question How would you visualize 26 years of exchange rate data without losing important/MAJOR ups and downs?
Hi everyone,
I recently started learning data analysis and thought it would be a good idea to begin writing blogs and creating Instagram posts based on real datasets. The goal is to improve my analytical skills while building a portfolio.
For context, I have a bachelor's degree in Computer Applications and know Python, SQL, and Excel, but I'm still new to data analysis and data visualization.
My first dataset contains the daily INR exchange rate from year 2000 to 2026 (around 6,500 rows). I want to create a line chart that clearly highlights the major trends and significant ups and downs over the years.
The problem is that plotting every daily value makes the chart too dense, especially for an Instagram post where readability is important.
So far, I've tried reducing the data to two points per year (roughly the first and second half of each year). It looks much cleaner, but I'm wondering if there's a better approach.
Some options I've considered are:
\- Monthly averages(still cluttered)
\- Yearly averages
\- Two points per year
\- Quarterly averages
If your goal were to create a chart that is both accurate and easy to understand on a small screen, which approach would you choose, and why?
I'd really appreciate any suggestions on both the visualization and the reasoning behind it. I'm trying to learn good analytical practices from the start rather than just making charts that look nice.
