<jupyter_start><jupyter_text>Average trip duration for borrowed bicycles<jupyter_code>trip_stats.tripduration.mean()<jupyter_output><empty_output><jupyter_text>average age of people<jupyter_code>mean_birthyear = trip_stats.birthyear.mode()
mean_birthyear
2019-mean_birthyear<jupyter_output><empty_output><jupyter_text>average and mean precipitation per month<jupyter_code>weather_stats.Precipitation_In.mean()
weather_stats.Precipitation_In.median()<jupyter_output><empty_output><jupyter_text>average number of bikes given out<jupyter_code>station_stats['install_dockcount'].mean()
less = station_stats.loc[station_stats['install_dockcount'] > station_stats['current_dockcount']]
len(less)
greater = station_stats.loc[station_stats['install_dockcount'] < station_stats['current_dockcount']]
len(greater)<jupyter_output><empty_output><jupyter_text>most stores have less bikes taken out how many renters are male and female<jupyter_code>male = trip_stats.loc[trip_stats['gender'] == 'Male']
len(male)
female = trip_stats.loc[trip_stats['gender'] == 'Female']
len(female)<jupyter_output><empty_output><jupyter_text>highest humidity<jupyter_code>weather_stats.Max_Humidity.max()<jupyter_output><empty_output><jupyter_text>most common event<jupyter_code>weather_stats.Events.mode()<jupyter_output><empty_output>
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