World_Weather_Analysis

Overview of the analysis

With this challenge we can apply analysis, visualization and statistical skills by retrieving specific data through Google Maps APIs

Results

1. First we need to retreive the information needed to make the analysis, so we decided to use np.random.uniform function in order to create the coordenates for the analysis

#Create a set of random lats y lngs combinations

lats=np.random.uniform(low=-90.000, high=90.000, size=2000)
lngs=np.random.uniform(low=-180.000, high=180.000, size=2000)
lat_lngs=zip(lats,lngs)
lat_lngs

2. Then we need to filter the data with the preferred characteristics of the desired destinations
3. After we had our filter data we have to add marker layer to the desired map with gmaps
4. Finally, we selected four random cities to plan a vacation and randomly selected four Brazil's cities. Below is the itinerary which starts and end in Ontario.

Start at: Ontario, US -Visit Cabo San Lucas, Mx -VIsit Xaltianguis, Mx -Visit Puerto Escondido, Mx -Finish with Nata, Pa With the use of waypoints we were able to map the driving route to visit these four cities

WE CAN ENJOY OUR VACATIONS IN MEXICO