diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 00000000..a0d63844
Binary files /dev/null and b/.DS_Store differ
diff --git a/NVDA.csv b/NVDA.csv
new file mode 100644
index 00000000..28127131
--- /dev/null
+++ b/NVDA.csv
@@ -0,0 +1,6317 @@
+Date,Open,High,Low,Close,Adj Close,Volume
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\ No newline at end of file
diff --git a/README.md b/README.md
index d557c109..8bd6e3da 100644
--- a/README.md
+++ b/README.md
@@ -1,125 +1,30 @@
 Final Project - Interactive Data Visualization  
 ===
 
-The key learning experience of this course is the final project. 
-You will design a web site and interactive visualizations that answer questions you have, provide an exploratory interface to some topic of your own choosing, or take on a more ambitious experiment than A3. 
-You will acquire the data, design your visualizations, implement them, and critically evaluate the results. 
-
-The path to a good visualization is going to involve mistakes and wrong turns. 
-It is therefore important to recognize that mistakes are valuable in finding the path to a solution, to broadly explore the design space, and to iterate designs to improve possible solutions. 
-To help you explore the design space, we will hold events such as feedback sessions in which you propose your idea and initial designs and receive feedback from the class and staff.
-
-Proposals / Idea Generation
+Website
 ---
+Link to the website: https://yifuyuan.github.io/final
+<img width="1193" alt="image" src="https://github.com/YifuYuan/final/assets/90162512/641d11ee-0029-4556-af29-5a808b0c314b">
 
-Submit project ideas using [this Google Form](https://docs.google.com/forms/d/e/1FAIpQLSc72vId8keotkEvLrB9Ef3Nt0e1uh_-mWmQ5okyPM5_q2a89Q/viewform?usp=sf_link).
-
-You're encouraged to submit many ideas-- staff will help you identify the most promising ones and possible roadblocks.
 
-Please stick to 1-4 folks per team.
 
-Final Project Materials
+Other Materials
 ---
-For your final project you must hand in the following items.
-
-### Process Book
-
-An important part of your project is your process book. Your process book details your steps in developing your solution, including the alternative designs you tried, and the insights you got. Develop your process book out of the project proposal. Equally important to your final results is how you got there! Your process book is the place you describe and document the space of possibilities you explored at each step of your project. It is not, however, a journal or lab notebook that describes every detail - you should think carefully about the important decisions you made and insights you gained and present your reasoning in a concise way.
-
-We strongly advise you to include many figures in your process book, including photos of your sketches of potential designs, screen shots from different visualization tools you explored, inspirations of visualizations you found online, etc. Several images illustrating changes in your design or focus over time will be far more informative than text describing those changes. Instead, use text to describe the rationale behind the evolution of your project.
-
-Your process book should include the following topics. Depending on your project type the amount of discussion you devote to each of them will vary:
-
-- Overview and Motivation: Provide an overview of the project goals and the motivation for it. Consider that this will be read by people who did not see your project proposal.
-- Related Work: Anything that inspired you, such as a paper, a web site, visualizations we discussed in class, etc.
-- Questions: What questions are you trying to answer? How did these questions evolve over the course of the project? What new questions did you consider in the course of your analysis?
-- Data: Source, scraping method, cleanup, etc.
-- Exploratory Data Analysis: What visualizations did you use to initially look at your data? What insights did you gain? How did these insights inform your design?
-- Design Evolution: What are the different visualizations you considered? Justify the design decisions you made using the perceptual and design principles you learned in the course. Did you deviate from your proposal?
-- Implementation: Describe the intent and functionality of the interactive visualizations you implemented. Provide clear and well-referenced images showing the key design and interaction elements.
-- Evaluation: What did you learn about the data by using your visualizations? How did you answer your questions? How well does your visualization work, and how could you further improve it?
-
-As this will be your only chance to describe your project in detail make sure that your process book is a standalone document that fully describes your results and the final design. 
-[Here](http://dataviscourse.net/2015/assets/process_books/bansal_cao_hou.pdf) are a [few examples](http://dataviscourse.net/2015/assets/process_books/walsh_trevino_bett.pdf) of process books from a similar course final.
+Link to the video: [Screen-Cast Video](https://youtu.be/ZUxVT9aPjww)
 
-Tip: Start your process book on Day 1. Make entries after each meeting, and trim / edit as needed towards the end of the project. Many folks use either slides software (like PowerPoint) or Google Docs to make this book, as both allow for flexible layouts and export to PDF.
+Link to the process book: [Process Book](process_book.pdf)
 
 
-### Project Website
-
-Create a public website for your project using GitHub pages or another web hosting service of your choice. 
-The web site should contain your interactive visualization, summarize the main results of the project, and tell a story. 
-Consider your audience (the site should be public if possible, unless you're running an experiment, etc.) and keep the level of discussion at the appropriate level. 
-Your process book and data should be linked from the web site as well. 
-Also embed your interactive visualization and your screen-cast in your website. 
-If you are not able to publish your work (e.g., due to confidential data) please let us know in your project proposal.
-
-### Project Screen-Cast
-
-Each team will create a two minute screen-cast with narration showing a demo of your visualization and/or some slides. 
-
-You can use any screencast tool of your choice, such as Camtasia or Loom (new and recommended). 
-Please make sure that the sound quality of your video is good -- it may be worthwhile to invest in an external USB microphone-- campus IT should have some you can borrow. 
-Upload the video to an online video-platform such as YouTube or Vimeo and embed it into your project web page. 
-For our final project presentation day, we will show as many videos in class as possible, and ask teams to field questions.
-
-We will strictly enforce the two minute time limit for the video, so please make sure you are not running longer. 
-Use principles of good storytelling and presentations to get your key points across. Focus the majority of your screencast on your main contributions rather than on technical details. 
-What do you feel is the best part of your project? 
-What insights did you gain? 
-What is the single most important thing you would like your audience to take away? Make sure it is front and center rather than at the end.
-
-Outside Libraries/References
+Overview
 ---
+### Non-obvious Features
+When the initial investment value is typed in and calculated, the market value updates itself everytime a new historical period is selected. 
 
-For this project you *do not* have to write everything from scratch.
-
-You may *reference* demo programs from books or the web, and *include* popular web libraries like Material UI, React, Svelte, etcetera. 
-
-Please *do not* use libraries on top of d3 without consulting staff, however. 
-Libraries like nvd3.js look tempting, but such libraries often have poor defaults and result in poor visualizations.
-There may be exceptions.
-Instead, draw from the numerous existing d3 examples on the web.
-
-If you use outside sources please provide a References section with links at the end of your Readme.
-
-Resources
----
-The "[Data is Plural](https://tinyletter.com/data-is-plural/archive)" weekly letter often contains interesting datasets.
-
-KAGGLE IS BANNED! You may propose to use a dataset from there if you really have a deep/cool idea, but please run it by me first.
-
-Think of something you're interested in, go find data on it! Include data collection and processing as part of your work on this project.
-
-Requirements
----
-
-Store the following in your GitHub repository:
-
-- Code - All web site files and libraries assuming they are not too big to include
-- Data - Include all the data that you used in your project. If the data is too large for github store it on a cloud storage provider, such as Dropbox or Yousendit.
-- Process Book- Your Process Book in PDF format.
-- README - The README file must give an overview of what you are handing in: which parts are your code, which parts are libraries, and so on. The README must contain URLs to your project websites and screencast videos. The README must also explain any non-obvious features of your interface.
-
-GitHub Details
----
-
-- Fork the repo. You now have a copy associated with your username.
-- Make changes to index.html to fulfill the project requirements. 
-- Make sure your "main" branch matches your "gh-pages" branch. See the GitHub Guides referenced above if you need help.
-- Edit the README.md with a link to your gh-pages or other external site: for example http://YourUsernameGoesHere.github.io/DataVisFinal/index.html
-- To submit, make a [Pull Request](https://help.github.com/articles/using-pull-requests/) on the original repository.
-
-Grading
----
-
-- Process Book - Are you following a design process that is well documented in your process book?
-- Solution - Is your visualization effective in answering your intended questions? Was it designed following visualization principles?
-- Implementation - What is the quality of your implementation? Is it appropriately polished, robust, and reliable?
-- Presentation - Are your web site and screencast clear, engaging, and effective?
-Your individual project score will also be influenced by your peer evaluations.
+### Files
+* index.html & script.js: These two files contain the essential part of the visualization. The script.js is from a stock price visualization template with basic functions, and extra features are built on top of it, including the stock price tooltip, historical area selection, and market value calculation. 
+* styles.css: It was created to polish the overall style, mostly done with the help of the ChatGPT. 
 
 References
 ---
-
-- This final project is adapted from https://www.dataviscourse.net/2020/project/
+- Data source: https://finance.yahoo.com/quote/NVDA
+- Stock price visualization template: https://github.com/datavizdad/d3areachartseries/blob/main/part%203/scriptvideo3.js
diff --git a/index.html b/index.html
new file mode 100644
index 00000000..a4a386b1
--- /dev/null
+++ b/index.html
@@ -0,0 +1,52 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>NVIDIA Stock Price</title>
+  <style>
+    rect {
+      pointer-events: all;
+      fill-opacity: 0;
+      stroke-opacity: 0;
+      z-index: 1;
+    }
+
+    .tooltip {
+    position: absolute;
+    padding: 5px;
+    background-color: rgb(11, 40, 65);
+    color: white;
+    border: 0px solid white;
+    border-radius: 0px;
+    display: none;
+    opacity: .75;
+    font-size: 14px;
+  }
+
+  .tooltip-line {
+  stroke-opacity: 0.5;
+} 
+  </style>
+  <link rel="stylesheet" href="styles.css"> 
+ </head>
+
+<body>
+
+  <div id="chart-container"></div>
+  <div id="slider-range"></div>
+  <div id="calculator-container">
+    <input type="number" id="multiplier-input" placeholder="$ Initial Investment" />
+    <button id="calculate-button">Calculate</button>
+    <div id="calculation-result"></div>
+  </div>
+ 
+  
+  <script src="https://d3js.org/d3.v7.min.js"></script>
+  <script src="https://unpkg.com/d3-simple-slider"></script>
+  
+  <script src="script.js"></script>
+</body>
+
+</html>
\ No newline at end of file
diff --git a/process_book.pdf b/process_book.pdf
new file mode 100644
index 00000000..ba605186
Binary files /dev/null and b/process_book.pdf differ
diff --git a/script.js b/script.js
new file mode 100644
index 00000000..27d12719
--- /dev/null
+++ b/script.js
@@ -0,0 +1,425 @@
+// Set dimensions and margins for the chart
+const margin = { top: 70, right: 60, bottom: 50, left: 80 };
+const width = 900 - margin.left - margin.right;
+const height = 500 - margin.top - margin.bottom;
+
+// Set up the x and y scales
+const x = d3.scaleTime()
+  .range([0, width]);
+
+const y = d3.scaleLinear()
+  .range([height, 0]);
+
+// Create the SVG element and append it to the chart container
+const svg = d3.select("#chart-container")
+  .append("svg")
+  .attr("width", width + margin.left + margin.right)
+  .attr("height", height + margin.top + margin.bottom)
+  .append("g")
+  .attr("transform", `translate(${margin.left},${margin.top})`);
+
+// create tooltip div
+
+const tooltip = d3.select("body")
+  .append("div")
+  .attr("class", "tooltip");
+
+// Create a second tooltip div for raw date
+
+const tooltipRawDate = d3.select("body")
+  .append("div")
+  .attr("class", "tooltip");
+
+// Create our gradient  
+
+const gradient = svg.append("defs")
+  .append("linearGradient")
+  .attr("id", "gradient")
+  .attr("x1", "0%")
+  .attr("x2", "0%")
+  .attr("y1", "0%")
+  .attr("y2", "100%")
+  .attr("spreadMethod", "pad");
+
+gradient.append("stop")
+  .attr("offset", "0%")
+  .attr("stop-color", "#85bb65")
+  .attr("stop-opacity", 1);
+
+gradient.append("stop")
+  .attr("offset", "100%")
+  .attr("stop-color", "#85bb65")
+  .attr("stop-opacity", 0);
+
+// Load and process the data
+d3.csv("NVDA.csv").then(data => {
+  // Parse the Date and convert the Close to a number
+  const parseDate = d3.timeParse("%Y-%m-%d");
+  data.forEach(d => {
+    d.Date = parseDate(d.Date);
+    d.Close = +d.Close;
+  });
+
+  // Set the domains for the x and y scales
+  x.domain(d3.extent(data, d => d.Date));
+  y.domain([0, d3.max(data, d => d.Close)]);
+
+  svg.append("g")
+    .attr("class", "x-axis")
+    .attr("transform", `translate(0,${height})`)
+    .style("font-size", "14px")
+    .call(d3.axisBottom(x)
+      .tickValues(x.ticks(d3.timeYear.every(1)))
+      .tickFormat(d3.timeFormat("%Y")))
+    .selectAll(".tick line")
+    .style("stroke-opacity", 1)
+  svg.selectAll(".tick text")
+    .attr("fill", "#777");
+
+  // Add the y-axis
+  svg.append("g")
+    .attr("class", "y-axis")
+    .attr("transform", `translate(${width},0)`)
+    .style("font-size", "14px")
+    .call(d3.axisRight(y)
+      .ticks(10)
+      .tickFormat(d => {
+        if (isNaN(d)) return "";
+        return `$${d.toFixed(2)}`;
+      }))
+    .selectAll(".tick text")
+    .style("fill", "#777");
+
+  // Set up the line generator
+  const line = d3.line()
+    .x(d => x(d.Date))
+    .y(d => y(d.Close));
+
+  // Create an area generator
+  const area = d3.area()
+    .x(d => x(d.Date))
+    .y0(height)
+    .y1(d => y(d.Close));
+
+  // Add the area path
+  svg.append("path")
+    .datum(data)
+    .attr("class", "area")
+    .attr("d", area)
+    .style("fill", "url(#gradient)")
+    .style("opacity", .5);
+
+  // Add the line path
+  const path = svg.append("path")
+    .datum(data)
+    .attr("class", "line")
+    .attr("fill", "none")
+    .attr("stroke", "#85bb65")
+    .attr("stroke-width", 1)
+    .attr("d", line);
+
+  // Add a circle element
+
+  const circle = svg.append("circle")
+    .attr("r", 0)
+    .attr("fill", "red")
+    .style("stroke", "white")
+    .attr("opacity", 0.7)
+    .style("pointer-events", "none");
+
+  // Add red lines extending from the circle to the date and value
+
+  const tooltipLineX = svg.append("line")
+    .attr("class", "tooltip-line")
+    .attr("id", "tooltip-line-x")
+    .attr("stroke", "red")
+    .attr("stroke-width", 1)
+    .attr("stroke-dasharray", "2,2");
+
+  const tooltipLineY = svg.append("line")
+    .attr("class", "tooltip-line")
+    .attr("id", "tooltip-line-y")
+    .attr("stroke", "red")
+    .attr("stroke-width", 1)
+    .attr("stroke-dasharray", "2,2");
+
+  // create a listening rectangle
+
+  const listeningRect = svg.append("rect")
+    .attr("width", width)
+    .attr("height", height);
+
+
+  // create the mouse move function
+
+  listeningRect.on("mousemove", function (event) {
+    const [xCoord] = d3.pointer(event, this);
+    const bisectDate = d3.bisector(d => d.Date).left;
+    const x0 = x.invert(xCoord);
+    const i = bisectDate(data, x0, 1);
+    const d0 = data[i - 1];
+    const d1 = data[i];
+    const d = x0 - d0.Date > d1.Date - x0 ? d1 : d0;
+    const xPos = x(d.Date);
+    const yPos = y(d.Close);
+
+    // UpDate the circle position
+
+    circle.attr("cx", xPos).attr("cy", yPos);
+
+
+    // Add transition for the circle radius
+
+    circle.transition()
+      .duration(50)
+      .attr("r", 5);
+
+    // Update the position of the red lines
+
+    tooltipLineX.style("display", "block").attr("x1", xPos).attr("x2", xPos).attr("y1", yPos).attr("y2", height);
+    tooltipLineY.style("display", "block").attr("y1", yPos).attr("y2", yPos).attr("x1", 0).attr("x2", width);
+
+
+    // add in our tooltip
+
+    tooltip
+    .style("display", "block")
+    // .style("left", `${width + 90}px`)
+    // .style("top", `${yPos + 68}px`)
+    .style("left", `${xPos+190}px`)
+    .style("top", `${yPos+20}px`)
+    .style("border", "1px solid green") // Green border
+    .style("padding", "10px")            // Padding for some space inside the tooltip
+    .style("border-radius", "5px")      // Rounded corners for the tooltip
+    .style("font-size", "1em")             // Increased font size for larger text
+    .style("font-weight", "bold")       // Bold font for emphasis
+    .style("pointer-events", "none")    // Ensures the tooltip doesn't interfere with mouse events
+      .html(`$${d.Close !== undefined ? d.Close.toFixed(2) : 'N/A'}`);
+
+
+    tooltipRawDate
+      .style("display", "block")
+      .style("left", `${xPos + 170}px`)
+      .style("top", `${height + 52}px`)
+      .style("border-radius", "5px")
+      .html(`${d.Date !== undefined ? d.Date.toISOString().slice(0, 10) : 'N/A'}`);
+
+  });
+
+  // listening rectangle mouse leave function
+
+  listeningRect.on("mouseleave", function () {
+    circle.transition().duration(50).attr("r", 0);
+    tooltip.style("display", "none");
+    tooltipRawDate.style("display", "none");
+    tooltipLineX.attr("x1", 0).attr("x2", 0);
+    tooltipLineY.attr("y1", 0).attr("y2", 0);
+    tooltipLineX.style("display", "none");
+    tooltipLineY.style("display", "none");
+  });
+
+  // Define the slider
+  const sliderRange = d3
+    .sliderBottom()
+    .min(d3.min(data, d => d.Date))
+    .max(d3.max(data, d => d.Date))
+    .width(300)
+    .tickFormat(d3.timeFormat('%Y-%m-%d'))
+    .ticks(3)
+    .default([d3.min(data, d => d.Date), d3.max(data, d => d.Date)])
+    .fill('#85bb65');
+
+
+  sliderRange.on('onchange', val => {
+    // Set new domain for x scale
+    x.domain(val);
+
+    // Filter data based on slider values
+    const filteredData = data.filter(d => d.Date >= val[0] && d.Date <= val[1]);
+
+    // Update the line and area to new domain
+    svg.select(".line").attr("d", line(filteredData));
+    svg.select(".area").attr("d", area(filteredData));
+    // Set new domain for y scale based on new data
+    y.domain([0, d3.max(filteredData, d => d.Close)]);
+
+
+    // Update the x-axis with new domain
+    svg.select(".x-axis")
+      .transition()
+      .duration(300) // transition duration in ms
+      .call(d3.axisBottom(x)
+        .tickValues(x.ticks(d3.timeYear.every(1)))
+        .tickFormat(d3.timeFormat("%Y")));
+
+    // Update the y-axis with new domain
+    svg.select(".y-axis")
+      .transition()
+      .duration(300) // transition duration in ms
+      .call(d3.axisRight(y)
+        .ticks(10)
+        .tickFormat(d => {
+          if (d <= 0) return "";
+          return `$${d.toFixed(2)}`;
+        }));
+
+    // Remove any existing highlight
+    svg.selectAll(".highlight-area").remove();
+
+  });
+
+  // Add the slider to the DOM
+  const gRange = d3
+    .select('#slider-range')
+    .append('svg')
+    .attr('width', 800)
+    .attr('height', 100)
+    .append('g')
+    .attr('transform', 'translate(250,30)');
+
+  gRange.call(sliderRange);
+
+  // Add the chart title
+
+  svg.append("text")
+    .attr("class", "chart-title")
+    .attr("x", margin.left - 115)
+    .attr("y", margin.top - 100)
+    .style("font-size", "30px")
+    .style("font-weight", "bold")
+    .style("font-family", "sans-serif")
+    .text("NVIDIA Corporation (NVDA)");
+
+  //------------------------------------------------------------------------------
+
+  // Variables to hold the selected stock prices
+let firstClickPrice = null;
+let secondClickPrice = null;
+let firstClickPriceHolder = null;
+let secondClickPriceHolder = null;
+let priceDifference = null;
+
+let firstClickDate = null;
+let secondClickDate = null;
+
+
+// Add a click event listener to the listening rectangle
+listeningRect.on("click", function(event) {
+  const [xCoord] = d3.pointer(event, this);
+  const x0 = x.invert(xCoord);
+  const i = d3.bisector(d => d.Date).left(data, x0, 1);
+  const selectedData = data[i - 1];
+
+  if (firstClickDate === null) {
+    firstClickPrice = selectedData.Close;
+    firstClickDate = selectedData.Date;
+  } else {
+    secondClickPrice = selectedData.Close;
+    secondClickDate = selectedData.Date;
+    priceDifference = secondClickPrice - firstClickPrice;
+
+    
+
+    // Display the price difference
+    d3.select("#price-difference-container").html(
+      `Buy: $${firstClickPrice.toFixed(2)}<br>
+       Sell: $${secondClickPrice.toFixed(2)}`
+    );
+
+    // After calculating the price difference and updating the display, call updateCalculation
+  if (secondClickPrice !== null) { 
+    updateCalculation();
+  }
+
+    // Record this pair of price for calculation
+    firstClickPriceHolder = firstClickPrice;
+    secondClickPriceHolder = secondClickPrice;
+
+    // Draw the highlighted area
+    drawHighlightedArea(data, firstClickDate, secondClickDate);
+
+    // Reset the click prices for the next pair of clicks
+    firstClickPrice = null;
+    secondClickPrice = null;
+    // Reset for the next pair of clicks
+    firstClickDate = null;
+    secondClickDate = null;
+  }
+});
+
+
+
+function drawHighlightedArea(data, firstClickDate, secondClickDate) {
+  // Ensure that the dates are in the correct order
+  const startDate = firstClickDate < secondClickDate ? firstClickDate : secondClickDate;
+  const endDate = firstClickDate < secondClickDate ? secondClickDate : firstClickDate;
+
+  // Filter the dataset to get the points between the two clicks
+  const filteredData = data.filter(d => d.Date >= startDate && d.Date <= endDate);
+
+  // Determine the color based on the comparison of the closing prices
+  const startData = data.find(d => d.Date.getTime() === firstClickDate.getTime());
+  const endData = data.find(d => d.Date.getTime() === secondClickDate.getTime());
+  const fillColor = startData.Close > endData.Close ? "red" : "green";
+
+  // Use the existing area generator to create the highlighted area
+  const highlightArea = d3.area()
+    .x(d => x(d.Date))
+    .y0(height)
+    .y1(d => y(d.Close));
+
+  // Remove any existing highlight
+  svg.selectAll(".highlight-area").remove();
+
+  // Add the new highlight path
+  svg.append("path")
+    .datum(filteredData) 
+    .attr("class", "highlight-area")
+    .attr("d", highlightArea) 
+    .attr("fill", fillColor)
+    .attr("opacity", 0.5)
+    .lower(); 
+}
+
+
+d3.select("#chart-container").append("div")
+  .attr("id", "price-difference-container")
+  .style("position", "absolute")
+  .style("left", "50%") 
+  .style("bottom", "-180px") 
+  .style("transform", "translateX(-50%)") 
+  .style("padding", "10px")
+  .style("background", "#fff")
+  .style("border", "1px solid #ddd")
+  .style("border-radius", "5px")
+  .style("font-size", "1.2em")
+  .style("text-align", "center") // 
+  .style("box-shadow", "0px 2px 4px rgba(0,0,0,0.2)"); 
+
+  // Function to perform the multiplication and display the result
+function performCalculation() {
+  const multiplier = parseFloat(d3.select("#multiplier-input").property("value"));
+    const priceDifference = secondClickPriceHolder - firstClickPriceHolder;
+    // Update the calculation as per the new requirement
+    const result = (multiplier / firstClickPriceHolder) * secondClickPriceHolder;
+    // Display the updated result
+    d3.select("#calculation-result").html(`Market Value: $${result.toFixed(2)}`);
+}
+
+// Event listener for the calculate button
+d3.select("#calculate-button").on("click", performCalculation);
+
+function updateCalculation() {
+  const multiplier = parseFloat(d3.select("#multiplier-input").property("value"));
+  // Ensure we have a valid multiplier, first price, and second price
+  if (!isNaN(multiplier) && firstClickPrice !== null && secondClickPrice !== null) {
+    const priceDifference = secondClickPrice - firstClickPrice;
+    // Update the calculation as per the new requirement
+    const result = (multiplier / firstClickPrice) * secondClickPrice;
+    // Display the updated result
+    d3.select("#calculation-result").html(`Market Value: $${result.toFixed(2)}`);
+  }
+}
+  
+
+});
diff --git a/styles.css b/styles.css
new file mode 100644
index 00000000..6626bf69
--- /dev/null
+++ b/styles.css
@@ -0,0 +1,83 @@
+#chart-container {
+  position: relative;
+  width: 100%; /* Adjust width as needed */
+  max-width: 1000px; /* Same as your SVG width or as per your layout */
+  margin: auto;
+}
+
+#price-difference-container {
+  position: absolute;
+  left: 50%;
+  bottom: 10px; /* Adjust distance from the bottom as needed */
+  transform: translateX(-50%);
+  background-color: rgba(255, 255, 255, 0.9);
+  border: 1px solid #ccc;
+  padding: 10px;
+  border-radius: 5px;
+  text-align: center;
+  box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
+}
+
+#calculator-container {
+  position: absolute;
+  left: 50%;
+  transform: translateX(-50%);
+  bottom: 70px; /* Adjust this to place it above the price-difference-container */
+  text-align: center;
+  padding: 10px;
+}
+
+#calculator-container input,
+#calculator-container button {
+  margin: 5px;
+  padding: 12px 15px;
+  border: 3px solid #ccc;
+  border-radius: 7px;
+  box-sizing: border-box; /* To include padding in width */
+}
+
+#calculator-container button {
+  cursor: pointer;
+  background-color: #85bb65; /* A color that matches your color scheme */
+  color: white;
+  border: none;
+}
+
+#calculator-container button:hover {
+  background-color: #6da556;
+}
+
+#calculation-result {
+  margin-top: 10px;
+  background-color: #f8f8f8;
+  border: 1px solid #e7e7e7;
+  padding: 10px;
+  border-radius: 5px;
+  display: inline-block; /* To fit content width */
+}
+
+#slider-range {
+  position: relative; /* Use relative positioning for the parent */
+  text-align: center; /* Center the slider within the text-align context */
+  margin: 20px 0; /* Add some vertical space around the slider */
+}
+
+/* Additional styles for the slider (if needed) */
+.d3-slider-horizontal {
+  margin: 0 auto; /* Horizontally center the inline-block or block slider */
+  display: inline-block; /* Change this as needed */
+}
+
+
+/* Additional style for tooltips and axis to maintain consistency */
+.tooltip,
+.axis path,
+.axis line {
+  font-family: 'Open Sans', sans-serif; /* Choose a font that matches your design */
+}
+
+/* Style for the tooltip */
+.tooltip {
+  pointer-events: none; /* Ignore mouse events */
+  opacity: 0.9;
+}