Stock Price Animation – Team 4

📊 Project Objective

Visualize and analyze time-series stock price data for five major tech companies using animation.

Goals:

• Understand stock trends over time.
• Animate the stock prices to visualize dynamics.
• Compare price movements between companies.

📁 Dataset Used

File: World-Stock-Prices-Dataset.csv

Fields of interest:

• Date: Daily record
• Ticker: Stock symbol
• Close: Closing price
• Brand_Name: Full company name

🛠️ Libraries Used

```r library(data.table) # Fast file reading
library(dplyr) # Data manipulation
library(ggplot2) # Base plotting
library(gganimate) # Animation support for ggplot
library(gifski) # Renders animations to GIF
library(transformr) # Smooth transitions in gganimate

🧹 Data Preprocessing – Step 1

✅ Dataset Overview

• The dataset includes daily stock prices for numerous companies worldwide.
• Key fields: Date, Ticker, Close, Brand_Name.

🧹 Data Preprocessing – Step 2

🔍 Company Selection

• Filtered for 5 major tech companies:
  • Apple (AAPL)
  • Alphabet (GOOGL)
  • Microsoft (MSFT)
  • Amazon (AMZN)
  • Tesla (TSLA)
• Focused analysis improves comparison and visual clarity.

🧹 Data Preprocessing – Step 3

🗓️ Date Conversion

• Converted the Date column from string to Date format.
• Essential for accurate chronological plotting and animation.

🧹 Data Preprocessing – Step 4

🏷️ Label Creation

• Created a new Label column:
  "Brand_Name (Ticker)"
• Improves legend readability in visualizations.

🧹 Data Preprocessing – Step 5

🧽 Final Data Refinement

• Filtered the dataset to include only selected companies.
• Result: A clean, focused subset ready for visualization.

📈 Plot Construction – Step 1

🧱 Base Plot Setup

• X-axis: Date
  
• Y-axis: Close (closing stock price)
  
• Colored by: Label to distinguish between companies.

📈 Plot Construction – Step 2

✨ Animation Design

• Used gganimate for smooth transitions over time.
• Applied transition_reveal(along = Date) to draw lines gradually.
• Subtitle dynamically shows the current date using {frame_along}.

🎞️ Animation Rendering

🛠️ Rendering to GIF

• Rendered the animation using gifski_renderer().
• Output settings:
  • Resolution: 900x550 px
  • Duration: 20 seconds
  • Frame Rate: 25 fps
• Saved the output as stock_animation.gif.

🖼️ Animated Visualization

📊 Stock Price Movement Over Time

📊 End of Presentation

Thank you!