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Blue Sky

Data Analytics Project

Power BI: Public Weather Data

Clear Blue Sky

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.

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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.

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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.

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© 2023 by Lydia Reilly. All rights reserved.

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