Help me asap, use python codes. I'll give upvote

Write codes in Juryter notebook as required by the problems. Copy both code and output as screen grab or screen shot and paste them here. 1 Import dob_job_application_filings.csv into a DataFrame named data. Write codes to determine the first five columns of the dataset, and the names and frequency counts of the boroughs. Code and Output 2 Import auto.csv. Visualize how accel varies with weight. Code and Output 3 Import uber_jun.csv. Print the first eight lines of this dataframe. Melt the columns Lat and Lon into rows and assign this to a new dataframe. Rename the default variable column to Lat/Lon and the default value column to val. Print the first eight lines of this new dataframe. Code and Output P R Landmarke Adult Estal Loft Board City Owne L Y Y B D E 1 Job # Doc # Borough House# Street Name 2 1.22E408 2 MANHATTAN 386 PARK AVENUE SOUTH 3 5.2E408 1 STATEN ISLAND 107 KNOX PLACE 4 1.22E08 1 MANHATTAN 63 WEST 131 STREET 5 1.22.08 1 MANHATTAN 48 WEST 25TH STREET 6 1.22E+08 1 MANHATTAN 45 WEST 29 STREET 7 1.22E+08 1 MANHATTAN 350 FIFTH AVENUE 8 3.21E+08 1 BROOKLYN 437 TOMPKINS AVENUE 9 1.22E+08 1 MANHATTAN 99 JOHN ST 10 1.22-08 1 MANHATTAN 1355 FIRST AVENUE 11 1.22E+08 1 MANHATTAN 1 MANHATTAN PLAZA 12 1.22E08 1 MANHATTAN 591 LEXINGTON AVE 13 4.21E+08 1 QUEENS 33-14 DITMARS BLVD 14 4.21E-08 1 QUEENS 147-01 JAMAICA AVE 15 4.4E+08 1 QUEENS 150-15 14TH AVENUE 16 4.21E+08 1 QUEENS 34-20 JUNCTION BOULEVARD 17 1.22E+08 1 MANHATTAN 440 EAST 12TH STREET 18 1.22E+08 1 MANHATTAN 535 WEST 24TH STREET 19 3.21E+08 1 BROOKLYN 948 BROADWAY 20 3.215.08 1 BROOKLYN 50 KENT AVENUE 21 3.21E-08 1 BROOKLYN 875 GRAND ST 22 2.2E+08 1 BRONX 1 2247 WALTON AVENUE 23 1.22E+08 1 MANHATTAN 823 1 AV 24 4.21E-08 1 QUEENS 157-02 CROSS BAY BLVD. 25 2.2408 1 BRONX 100 BAYCHESTER AVENUE 26 2.4E08 1 BRONX 3555 BIVONA STREET 27 3.21E+08 1 BROOKLYN 153 HAVEMEYER STREET 28 1.22E+08 3 MANHATTAN 150 EAST 58TH STREET 29 1.22E+08 1 MANHATTAN 1290 AVENUE OF THE AMERICAS op + BRATTAYYAR 100 DAN AMERLI COLLE dob job application filings F G H 1 L M N N O Block Lot Bin # Job Type Job Status Job Status Descrp Latest Acti Building Ty Communit Cluster 857 38 1016890 A2 D APPLICATION PROCESSED ######## OTHER 105 342 1 5161350 A3 PRE-FILING ##### 1-2-3 FAM 501 1729 9 1053831 A2 Q PERMIT ISSUED - PARTIAL ######## OTHER 110 826 691015610 A D APPLICATION PROCESSED #### OTHER 105 831 7 1015754 A3 D APPLICATION PROCESSED #M# OTHER 105 835 41 1015862 A2 Q 0 PERMIT ISSUED - PARTIAL MANN OTHER 105 1846 9 3331251 A2 P PLAN EXAM - APPROVED AT OTHER 303 76 7502 1087867 A2 D APPLICATION PROCESSED IN OTHER 101 1447 27 1088591 AZ D APPLICATION PROCESSED ######## OTHER 108 9999 1 1813346 A2 P PLAN EXAM - APPROVED ######## OTHER 118 1306 50 1036464 A2 R PERMIT ISSUED - ENTIRE J ##### OTHER 106 832 57 4017011 A2 R PERMIT ISSUED - ENTIRE J # OTHER 401 9677 1 4206783 A2 D APPLICATION PROCESSED NON OTHER 412 4518 53 4102714 A2 H PLAN EXAM - IN PROCESS ## OTHER 407 1455 7 4035802 A1 D APPLICATION PROCESSED WITH OTHER 403 439 27 1005976 DM E APPLICATION PROCESSED ######## OTHER 103 696 13 1012366 A2 PLAN EXAM - APPROVED ######## OTHER 104 1586 34 3042898 A2 P PLAN EXAM - APPROVED ##### OTHER 303 2287 1 3251725 A2 P PLAN EXAM - APPROVED ## OTHER 301 2922 39 3070447 AZ D APPLICATION PROCESSED 1-2-3 FAM 301 3186 76 2014073 A2 D APPLICATION PROCESSED NON OTHER 205 1339 19 1038903 A3 R PERMIT ISSUED - ENTIRE JAW OTHER 106 13972 64 4292707 A2 D APPLICATION PROCESSED ######## OTHER 410 5141 3 2087397 A2 R PERMIT ISSUED - ENTIRE ######## OTHER 210 5263 40 2093875 A3 H PLAN EXAM - IN PROCESS ##### OTHER 212 2421 7 3063168 A2 P PLAN EXAM - APPROVED #### OTHER 301 1312 41 1036915 A2 P PLAN EXAM - APPROVED #HAN OTHER ## 106 1267 1 1034510 AZ D APPLICATION PROCESSED NO OTHER 105 DET 10 COM A ADDUCATIOIDcreen M. Turn LE Y Y A A B c D F G H 1 mpe 000+ displ hp 250 304 91 250 97 3525 119 4 4 4 8 8 4 4 4 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 20 cyl 18 9 36.1 18.5 34.3 32.9 32.2 22 15 17 44 24.5 32 14 15 13 36 31 32 21.5 19 17 16 15 23 26 32 24 auto 108 121 302 302 97 151 135 351 400 307 79 119 71 8 D E F weight accel yr 88 3139 14.5 193 4732 18.5 60 1800 16.4 98 19 78 2188 15.8 100 2615 14.8 75 2265 15.2 76 2511 18 130 4295 14.9 140 3449 10.5 52 2130 24.6 88 2740 16 84 2295 11.6 148 4657 13.5 150 3761 9.5 130 4098 14 58 1825 18.6 82 2720 19.4 65 1836 21 110 2720 13.5 95 3264 16 110 3907 21 140 4141 14 170 3563 10 78 2592 18.5 90 2265 15.5 96 2665 13.9 95 2372 15 109 H J origin name color 71 US ford mustang red 70 US hi 1200d green 78 Asia honda civic cucc blue 77 US ford granada red 80 Europe audi 4000 blue 81 Asia datsun 200sx blue 80 Asia toyota corolla blue 72 Europe volkswagen 411 (sw) blue 77 US mercury cougar brougham green 70 US ford torino green 82 Europe ww pickup blue 77 US pontiac sunbird coupe blue 82 US dodge rampage blue 75 US ford Itd green 70 US chevrolet monte carlo green 72 US chevrolet chevelle concours green 77 Europe renault 5 gt! blue 82 US chevy s-10 blue 74 Asia toyota corolla 1200 blue 77 Asia mazda rx-4 black 75 US plymouth valiant custom red 75 US buick century red 74 US ford gran torino green 70 US dodge challenger se green 75 US pontiac astro blue 73 Europe fiat 124 sport coupe blue 82 Asia toyota celica gt blue 70 Asia toyota corona mark ii blue L size marker 27.37034 o 62.19951 o 9x 34.515630 13.29818 s 18.99507 x 14.25063 x 17.51422 5 51.24174 o 33.04334 o 12.6025 s 20.85444 o 14.63063 0 60.24347 0 39.292 0 46.6489 0 9.251736 s 20.55111 o 9.3636 x 20.55111 x 29.5936 o 42.4018 0 47.633 0 35.2638 0 18.6624 o 14.25063 s 19.7284 x 15.62884 x 2 CEA 8 8 4 4 80 4 3 6 6 8 225 231 302 383 140 8 4 98 4 4 . 4 144 113 551 20 LC + + Ready A 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 B C D E Date/Time Lat Lon Base 0 ######## 40.7293 -73.992 B02512 1 #### ### 40.7131 -74.0097 B02512 2 ######## 40.3461 -74.661 B02512 3 #### 40.7555 -73.9833 B02512 4 ######## 40.688 -74.1831 B02512 5 ######## 40.7152 -73.9917 B02512 6 ## 40.7282 -73.991 B02512 7 ### ## 40.3042 -73.9794 B02512 8 ######## 40.727 -73.9915 B02512 9 ##### 40.7221 -73.9965 B02512 10 ######## 40.7153 -74.0146 B02512 11 ######## 40.6176 -74.0197 B02512 12 ######## 40.7025 -73.9897 B02512 13 #### ## 40.735 -74.165 B02512 14 ######## 40.7357 -74.0068 B02512 15 ######## 40.6904 -73.9572 B02512 16 ######## 40.7384 -73.9857 B02512 17 ######## 40.7406 -74.0066 B02512 18 ######## 40.7535 -73.9813 B02512 19 ### 40.722 -73.9804 B02512 20 ##### ## 40.8095 - 74.1037 B02512 21 ######## 40.7482 -73.9745 B02512 22 ######## 40.7043 -73.933 B02512 23 ######## 40.7298 -73.9898 B02512 24 ######## 40.7397 -74.0053 B02512 25 #### ## 40.7607 -74.0025 B02512 26 ######## 40.7578 -73.9703 B02512 27 ######## 40.7349 -73.985 B02512 29 ##44444 10 712 72077 DO212 uberjun 17 18 19 20 21 22 23 24 25 26 27 28 29 20 Ready