RiskThinking.AI

Work Assement for UI/UX developer position at RiskThinking.AI

Deployed on Vercel

Production Build

Technologies

• NextJS (Base Framework)
• TailwindCSS (Styling)
• Leaflet (Map)
• AgGrid (Data Table)
• ChartJS (Charts)
• Mobx-react-lite (state management)

Problem Statement

Problem 1: Implement a Map with Location Markers and Risk Indicators

Objective: Create an interactive map that displays the geographic locations from the provided dataset and highlights the relative risk levels using color-coded markers.

Tasks:

1. Set up a Next.js boilerplate app with the following command under Node v16 environment

   yarn create next-app risk-viz --ts --tailwind --eslint --src-dir --import-alias "@/*" --experimental-app

   or

   npx create-next-app@latest risk-viz --ts --tailwind --eslint --src-dir --import-alias "@/*" --experimental-app

2. Load and parse the sample datasets.
3. Integrate a mapping library (e.g., Mapbox, Leaflet, Google Maps).
4. Implement a control for users to select different decades.
5. Display the locations (Lat, Long) from the dataset as markers on the map of a given decade year.
6. Color-code the markers based on their Risk Rating (climate risk score) derived from the dataset.
7. Add interactivity to the map, such as zooming and panning, and display a tooltip with the Asset Name and Business Category on marker hover.

Problem 2: Create a Data Table with Sorting and Filtering Capabilities

Objective: Display the climate risk data in a table format, allowing users to sort and filter the dataset.

Tasks:

1. Create a data table component.
2. Load and display the sample dataset with a given year selection (from Problem 1) in the table.
3. Implement sorting functionality on reasonable columns.
4. Implement filter functionality on reasonable columns, especially risk factors.

Problem 3: Visualize Risk Over Time with Line Graphs

Objective: Create a line graph to visualize the changes in risk levels over time for a given location, Asset or Business Category.

Tasks:

1. Set up a charting library (e.g., Chart.js, D3.js, Highcharts).
2. Implement a line graph component that displays the Risk Rating over time (Year) for a selected location (Lat, Long), Asset, or Business Category.
3. Add interactivity to the graph, such as tooltips displaying Asset Name, Risk Rating, Risk Factors, and Year.
4. Implement controls for selecting different locations, Assets, or Business Categories to visualize their risk levels over time.
   • You may need to perform some data aggregation in order to achieve this.

Problem 4: Integrate Components and Optimize Performance

Objective: Combine the components from the previous problems into a cohesive web app, ensuring optimal performance and user experience.

Tasks:

1. Design a user interface that integrates the map, data table, and line graph components.
2. Implement state management to handle user interactions and data flow between components (e.g., selecting a location on the map updates the line graph and data table).
3. Optimize the app's performance by implementing lazy loading for components and efficient data handling, such as pagination for the data table.
4. (Bonus) Implement reasonable tests for utility functions, data flow hooks, and React components.