Crypto in Real Estate — Public Perception (Qualitative + Sentiment)

Goal: Assess how cryptocurrency could be used in real estate and compare perceptions between crypto users and real‑estate professionals across UK, India, UAE.

Highlights

• Semi‑structured interviews, coded into 6 themes: Benefits · Risks · Trust · Regulations · Future · Suggestions.
• Sentiment analysis in R (AFINN / BING) quantifies tone by theme, region, and group.
• Users → speed, low fees, transparency, tokenisation (positive).
• Professionals → regulation/AML/KYC, custody risk, volatility (cautious).
• Regulatory clarity is the main unlock; UAE more open; UK cautious; India mixed.

Repo Layout

data/        # CSV outputs used to build figures
results/     # ready-to-use figures for portfolio & slides
scripts/     # R scripts (part 1: thematic, part 2: sentiment)
docs/        # 1-page recruiter summary (MD + PDF)

Reproduce (R)

# Install packages
source('install_packages.R')

# Run analyses (adapt file paths as needed)
source('scripts/part1_thematic_analysis.R')
source('scripts/part2_sentiment_analysis.R')

Stack: R (tidyverse, tidytext, ggplot2, readr, dplyr, stringr, forcats, tidyr)

This project shows mixed‑method analysis (qualitative + quantitative), practical stakeholder insights, and clear visual communication.

Visual Highlights

Comparison of mental models (Users vs Professionals)

Key Themes

Sentiment Words