Question: import pandas as pd import numpy as np Summarize trip data 1) get a count of number of non-missing values for trip data 2) get

import pandas as pd import numpy as np

import pandas as pd import numpy as np Summarize trip data 1)

Summarize trip data

1) get a count of number of non-missing values for trip data

2) get frequency distribution for Start station

3) get descriptive statistics for all columns

4) get mode of end station

J 1 2 3 4 5 6 7 8 A B D E F G . Duration Start date End date Start static Start static End statio End statio Bike numt Member Type 1048876 ######## ######## 31213 17th & KS 31606 Potomac & W20784 Registered 223449 ######## ######## 31104 Adams Mi 31103 16th & Ha W20825 Registered 423494 ######## ######## 31627 M St & De 31614 11th & H SW20773 Registered 687015 ######## ######## 31404 9th & Ups 31281 8th & O St W01307 Registered 257919 ######## ######## 31602 Park Rd & 31400 Georgia & W21760 Registered 253959 ######## ######## 31123 14th & Gin 31102 11th & Ker W23036 Registered 402669 ######## ### 31263 10th & KS 31109 7th & T St W22539 Registered 744377 ######## ######## 31236 37th & OS 31917 N Lynn St W20893 Casual 776845 ######## ######## 31111 10th & US 31404 9th & Ups W00945 Registered 212823 ######## ######## 31124 14th & Irv 31117 15th & Eu. W22998 Registered 338103 ######## ######## 31202 14th & RS 31109 7th & T St W20006 Registered 883046 ################ 31307 3000 Conr 31224 19th & LS W00382 Casual 534500 ######## ### 31111 10th & US 31278 18th & RSW01141 Registered 9 10 11 12 13 14

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