

Step 1: Understand the Data & Identify Interactive Elements
The first step in this project was to thoroughly understand the data and identify interactive elements that would enhance the user experience. The goal of this project is to provide users with a clear understanding of the weather forecast for a specific location.
Additionally, the platform offers recommendations on what to wear based on the weather conditions.

Step 2: Interactive Buttons, Filters, & Slicers
In this step, I incorporated interactive month and day slicers to allow users to easily navigate through different dates and view weather forecasts for specific periods. The slicers enable users to select a particular month and day, instantly displaying relevant weather data, making it easier to plan ahead and track weather changes over time.
This interactive feature enhances the user experience by providing an intuitive and dynamic way to explore weather patterns and forecasted conditions.

Step 3: Forecast Predictions for the Future
The next step focuses on providing forecast predictions for upcoming days, weeks, or even months. By leveraging historical data and advanced forecasting models, users can gain insights into future weather conditions for their selected location.
The ability to view future predictions ensures that users are always prepared, with a clear understanding of what to expect in the days ahead.


Skills Practiced: 💻 Writing Beginner/Intermediate Code 👩💻 Filtering & Summarizing Data 🔗 Sorting & Grouping Data

Key Learning Outcomes: - Load data and manipulate it - Tableau’s interface and connect - Present data using easy-to-understand visualizations - Dashboard-composition best practices, add interactive or explanatory elements

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