Skip to content

Python analysis challenge that pulls data from weather APIs, analyzes that data, and then visualizes the top "ideal" vacation hotel locations based on results.

Notifications You must be signed in to change notification settings

cdenq/ideal-vacation-by-weather-predictor

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ideal-vacation-by-weather-predictor

About What's the Weather Like

What's the Weather Like is a Python data analytics challenge consisting of two parts:

  1. WeatherPy pulls (Open Weather API, Google Geocode API), filters, and graphs world weather data to discover underlying trends with latitude vs. weather.
  2. VacationPy filters for cities based on predefined "ideal" weather conditions, visualizes a heatmap using GMaps, and queries and plots the nearest hotels to said cities.

Built with

  • Python
    • Pandas
    • Matplotlib
    • Citipy
    • Gmaps
  • APIs
    • Open Weather API
    • Google Geocode API
    • Google Places/Maps API

Technical Skills

  • API request, response storing
  • Cleaning, sorting, filtering
  • Plotting and subplotting (scatter, line, gmaps marker, gmaps heatmap)
  • Linear regression

Qualitative Skills

  • Synthesizing results for tentative conclusions
  • Acknowledging potential pitfalls with results and techniques

Screenshots

image1 image2 image3

About

Python analysis challenge that pulls data from weather APIs, analyzes that data, and then visualizes the top "ideal" vacation hotel locations based on results.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages