import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) # Any results you write to the current directory are saved as output. import matplotlib.pyplot as plt import seaborn as sns %matplotlib inline
path = "F:\\kaggleDataSet\\" facility_tiers = pd.read_csv(path + os.listdir(path)[1]) facility_tiers.head()
facility_gh = pd.read_csv(path + os.listdir(path)[0])
facility_gh.head()
plt.figure(figsize=(12, 4)) ax = sns.countplot(facility_gh['Region']) plt.title('Distribution of Regions')
plt.figure(figsize=(20, 6)) ax = sns.countplot(facility_gh['Ownership']) plt.title('Distribution of Ownership')
from mpl_toolkits.basemap import Basemap fig = plt.figure() m = Basemap(projection='cyl', llcrnrlon=-180, urcrnrlon=180, llcrnrlat=-90, urcrnrlat=90, resolution='c',lat_ts=True) m.drawcoastlines() m.fillcontinents(color='#04BAE3', lake_color='#FFFFFF') m.drawcountries() m.drawmapboundary(fill_color='#FFFFFF') mloc = m(facility_gh['Latitude'].tolist(), facility_gh['Longitude'].tolist()) m.scatter(mloc[1], mloc[0], color='red', lw=3, alpha=0.3, zorder=5)