image_output_11.png image_output_24.png image_output_46.png image_output_25.png image_output_47.png image_output_17.png image_output_30.png image_output_14.png image_output_59.png image_output_39.png image_output_28.png image_output_23.png image_output_34.png image_output_13.png image_output_40.png image_output_5.png image_output_48.png image_output_18.png image_output_58.png image_output_21.png image_output_52.png image_output_60.png image_output_7.png image_output_56.png image_output_31.png image_output_20.png image_output_32.png image_output_53.png image_output_4.png image_output_51.png image_output_42.png image_output_35.png image_output_41.png image_output_57.png image_output_36.png image_output_8.png image_output_37.png image_output_16.png image_output_27.png image_output_54.png image_output_6.png image_output_45.png image_output_12.png image_output_22.png image_output_55.png application_vnd.jupyter.stderr_output_1.png image_output_3.png image_output_29.png image_output_44.png image_output_43.png image_output_2.png image_output_1.png image_output_10.png image_output_33.png image_output_50.png image_output_15.png image_output_49.png image_output_9.png image_output_19.png image_output_61.png image_output_38.png image_output_26.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

mapdata1 = pd.read_csv('../input/surviving-mars-maps/MapData-Evans-GP-Flatten.csv')
mapdata2 = pd.read_csv('../input/surviving-mars-maps/MapData-Evans-GP.csv')

mapdata1.shape

bl_col = mapdata1.select_dtypes(include='boolean')
int_col = mapdata1.select_dtypes(include='int').columns
str_col = mapdata1.select_dtypes(include='object').columns

for i, col in enumerate(bl_col):
    plt.figure(i)
    sns.countplot(x=col, data=bl_col)