Overview and Background:

Utilized Google Maps API data to generage a travel itinerary based on weather preferences.

This project was broken up into three parts:

Part 1: Get the Weather Description and Amount of Precipitation for Each City

Used OpenWeatherMap.com API data to generate a list of random cities and extract weather data. The data was exported to a CSV file that would later be used to determine cities that we could visit on vacation.

Part 2: Have Customers Narrow Their Travel Searches Based on Temperature and Precipitation

In order to ensure that a customer is able to plan a vacation that is ideal for their preferred weather conditions, prompts were added to request information from the customer. These inputs were as follows:

The temperature range they would like to stay within.

Whether they minded rain or snow during their trip.

At the time of the original analysis, there were 72 cities with rainfall, and 0 with snowfall.

In order to determine an enjoyable travel route, I chose the following parameters as my travel preferences:

Minimum temperature: 60 degrees Farenheit

Maximum temperature: 75 degrees Farenheit

Open to rainfall, but excluded any cities with snowfall

Here is the final map of cities that fit this criteria:

Part 3: Create a Travel Itinerary with a Corresponding Map

I chose four cities in Brazil that fit our criteria listed above. Here is the final travel itinerary:

Here are the individual cities, as well as the hotel name and weather conditions for each city.

Start: The Pousada Chao Earth Hotel in Santa Luzia, Brazil

First Stop: The Chácara Sombra do Altíssimo Hotel in Santa Isabel, Brazil


Second Stop: The Ilha Flat Hotel in Ilhabela, Brazil


End: The Pousada Porto Praia Hotel in Arraial Do Cabo, Brazil