Crafting an Informative House Price Dashboard Using Tableau for Comprehensive Insights

Gustiyan Islahuzaman
2 min readOct 31, 2023

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🏠 Project Highlight: Exploring Comprehensive House Price Analysis with Tableau

The housing market is a dynamic landscape, shaped by numerous factors that influence property prices. In an effort to unveil the intricacies of this market, I embarked on a journey to construct a House Price Analysis Dashboard using Tableau. This project has not only expanded my technical proficiency but also deepened my comprehension of housing market trends. For a detailed exploration of the dashboard, you can check out this provided link.

House Price Dashboard

Here’s an insight into the key questions and detailed analysis I pursued:

  1. Distribution of Sale Prices: Unveiling the Tale of Prices The fundamental exploration of the distribution of sale prices served as the cornerstone of the analysis. Calculating crucial summary statistics such as mean and median sale prices provided a clear snapshot of the market’s pricing structure, offering an understanding of the market’s landscape.
  2. Impact of Dwelling Types: Deciphering Influence on Sale Prices Delving into the varied types of dwellings (MSSubClass) shed light on their impact on the distribution of sale prices. This analysis aimed to discern whether certain dwelling types are correlated with higher or lower sale prices, offering vital insights for potential buyers and sellers.
  3. Zoning Classifications: Unveiling Area Influence on Prices Understanding the significance of zoning classifications (MSZoning) was pivotal. Analyzing the most prevalent zoning classifications within the dataset and their correlation with sale prices provided essential insights into how location and zoning affect property values.
  4. Lot Size and Street Type: Probing House Characteristics The analysis further extended to the primary characteristics of houses, focusing on the lot size (LotArea) and street type (Street). This exploration aimed to uncover correlations between these features and the associated sale prices.
  5. Quality and Condition Impact: Evaluating Market Perception Investigating the correlation between the overall quality (OverallQual) and overall condition (OverallCond) ratings of houses and their sale prices provided crucial insights. Understanding how these factors influence market value can be invaluable for making informed decisions for both buyers and sellers.

By employing Tableau’s dynamic visualization capabilities, this House Price Analysis Dashboard offers an interactive and comprehensive understanding of the housing market. The amalgamation of these diverse factors paints a detailed picture, facilitating informed decision-making for individuals navigating the real estate sphere.

Stay tuned for a detailed walkthrough and insights shared in my Medium article as I unravel the process and discoveries from this enriching project. Dive into the realm of housing market insights and equip yourself with the knowledge to make more informed real estate decisions.

Feel free to follow along and explore the depths of the housing market analysis through my Medium article for a comprehensive understanding of this enriching Tableau project.

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Gustiyan Islahuzaman
Gustiyan Islahuzaman

Written by Gustiyan Islahuzaman

Data Analyst focused on Power BI dashboard creation. Sharing tips and tricks for data analysis with Python, R, SQL, Excel, Looker Studio, Tableau, and Power BI.