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You can use link to the dataset in my Google Drive : https://drive.google.com/file/d/1HtPmVOFeYprczsDIi0eOyA8qBqLW_RUE/view

In my own data research, you'll find the following analyses:

Data Retrieval and Preprocessing:

  • Download the real estate data for sales transactions from the provided link.
  • Load the data into Python and perform necessary data preprocessing steps, such as handling missing values and data type conversions.

Data Overview:

  • Provide a summary of the dataset, including the number of records, number of features, and basic statistics (e.g., mean, median, min, max) for key numeric variables.
  • Describe the columns in the dataset and their respective meanings.

Time Series Analysis:

  • Analyze the trends in real estate sales over time.
  • Create visualizations, such as line plots or bar graphs, to illustrate the changes in sales over different time periods (e.g., months, quarters, years).

Property Type Analysis:

  • Explore the different types of properties sold in Dubai.
  • Determine the most common property types and visualize their distribution using pie charts or bar plots.

Price Distribution:

  • Investigate the distribution of property prices in Dubai.
  • Create a histogram to display the frequency distribution of property prices.

Location Analysis:

  • Analyze the geographic distribution of real estate sales in Dubai.
  • Use maps or geographical plots to visualize the areas with the highest sales volume.

Seasonal Patterns:

  • Identify any seasonal patterns in real estate sales data.
  • Explore if there are specific times of the year when sales tend to peak or drop.

Correlation Analysis:

  • Investigate potential correlations between property prices and other relevant features in the dataset.
  • Create correlation matrices and visualize correlations using heatmaps.

Price Prediction

  • You can attempt to build a simple price prediction model based on property features like size, location, and property type.

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Detailed analysis of the property market for the period Jan-June 2023 of Dubai

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