Analyzing weather patterns with respect to latitude.
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Updated
Jun 23, 2020 - Jupyter Notebook
Analyzing weather patterns with respect to latitude.
Weather Analysis as approaching to equator.
This is a python script to visualize the weather of 500+ cities across the world of varying distance from the equator.
Maps visualizing relationship between weather data and hotel locations
This project is in two parts. First, WeatherPy visualizes the weather of 500+ cities across the world of varying distances from the equator, using Python script, CityPy, and OpenWeatherMap APIs. The second part, VacationPy, uses Jupiter-Gmaps and the Google Places API to create a heatmap and filter down cities.
"What's the weather like as we approach the equator?"
Analysis & graphic visualization of the weather of 500+ cities across the world.
I used Python, Jupyter Notebook and the city PI module to get the cities for more than 700 random latitudes and longitudes then I requested on the open weather map API and retrieve the JSON weather data from these cities. I then added the weather data to the Panda’s dataframe. From there I used Matplotlib to create a series of scatter plots to s…
Python-based NumPy & SciPy Statistical Analysis of Latitude Position vs Weather Performed on a 500+ City Data Set Created by Python CityPy & OpenWeatherMap API Representative of Weather Worldwide
Using OpenWeatherMap API, retrieve the JSON weather data from different cities. Using Matplotlib, create a series of scatter plots showing relationship between the latitude and a variety of weather parameters for over 1500 cities around the world. Perform statistical calculations on the weather parameters using linear regression to predict futur…
API and Weather Data visualization: Data Visualization based on weather data, vacation itinerary and vacation search
Visualization analysis of weather in 500+ cities at different latitudes relative to the equator line. The visualizations show temperature, humidity, cloudiness, wind speed using OpenWeatherMap API and Citypy module.
Visualizing weather and Gmaps locations using a live API
This project analyzes top vacation cities based on weather data from Open Weather's API and is visualized using Google Map's API.
Python API Requests & JSON Visualizing the Weather of 500+ Cities Around the World
This project is in two parts. The first part (WeatherPy) visualizes the weather of 500+ cities across the world of varying distance from the equator, using Python script, CityPy and OpenWeatherMap APIs. The second part (VacationPy) uses jupyter-gmaps and the Google Places API to create a heatmap of these cities, filter down to the cities with an…
Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.
Top vacation cities are analyzed using data from Open Weather API. It is then visualized using Google Maps API.
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