Welcome to My Blog

A first post — what this site is about and a quick demo of the tools behind it.

Hello, world

Welcome to my corner of the internet. This blog is where I’ll share data science projects, interactive dashboards, and things I find interesting along the way.

The site is built with Quarto and deployed to Cloudflare Pages. Posts can include live R and Python code, and I plan to embed interactive Shiny dashboards directly into articles.

A quick demo

Here’s a simple visualization to make sure the R pipeline is working. Let’s look at the relationship between car weight and fuel efficiency:

library(ggplot2)

ggplot(mtcars, aes(x = wt, y = mpg, color = factor(cyl))) +
  geom_point(size = 3, alpha = 0.8) +
  geom_smooth(method = "lm", se = FALSE, linewidth = 0.8) +
  scale_color_manual(
    values = c("4" = "#7F5AF0", "6" = "#E09F3E", "8" = "#2D3A3A"),
    name = "Cylinders"
  ) +
  labs(
    x = "Weight (1,000 lbs)",
    y = "Miles per gallon"
  ) +
  theme_minimal(base_family = "sans") +
  theme(
    plot.background = element_rect(fill = "#FAF8F4", color = NA),
    panel.background = element_rect(fill = "#FAF8F4", color = NA),
    panel.grid.minor = element_blank(),
    panel.grid.major = element_line(color = "#E5E7EB"),
    legend.position = "top"
  )

Figure 1: Fuel efficiency drops as vehicle weight increases — no surprises there.

The colors above match the site’s Ember & Violet palette — violet for the primary data series, amber for the secondary, and deep forest for the third.

This post was generated as part of the initial site setup. Real content starts next.

What’s coming

• Deep dives into datasets I find interesting
• Interactive Shiny dashboards embedded right in the posts
• Technical notes on R, Python, and data engineering

Stay tuned.