모빌리티데이터팀 신입 데이터 분석가의 1년 회고

ݽ࠽ܻ౭ ؘ੉ఠ౱ नੑ ࠙ࢳо੄ 1֙ ഥҊ

ࣗѐ ӂਮജ • ҃৔೟ + ஹೊఠҕ೟ ੹ҕ੉ ݏ૑ ঋই ੉ز
• झఋ౟সҗ ؘ੉ఠী ҙब੉ ݆਺ • 2019.01 ॑஠ ؘ੉ఠ ࠙ࢳо ੑࢎ, ఋ׮ ؘ੉ఠ౱ ѐੋ੸ੋ ҙब  • بद ੤ࢤ, بद੄ ӝמ ١ بदী ҙब੉ ݆਺ • ׮নೠ بदܳ ҃೷ೞח Ѫਸ જইೣ • ࢲ਎݅ఀ Ѣ؀ೠ بदח ଺ইࠁӝ ൨ٜ׮ ఋ׮ؘ੉ఠ౱ • ର۝ ਍৔ ബਯച • ࣻਃ ৘ஏ, ର۝ ੤ߓ஖ ঌҊ્ܻ • ࢲ૚ ੗زച

੉ز੄ җѢ৬ അ੤

਋ܻо ੉زೞח ߑध਷ ӝࣿ੄ ߊ੹җ ೣԋ ߸ച ઺

ؘ੉ఠ۽ ࠁח   ࢲ਎੄ ੉ز ؘ੉ఠ۽ ಹח   ݽ࠽ܻ౭ ޙઁ
ഥҊ ETA ର۝ ਍৔  ബਯച

1. ؘ੉ఠ۽ ࠁח ࢲ਎੄ ੉ز

ৈ۞ٜ࠙਷য٣ࢲয়࣑աਃ

ࢲ਎੄੉زীҙೠݻо૑ࢎपٜ

1 ъթҳ 2 ઺ҳ 3 ࢲୡҳ 4 ৔١ನҳ 5 ઙ۽ҳ
6 ਊ࢑ҳ 7 ݃ನҳ 8 ࣠౵ҳ 9 ࢿزҳ 10 ࢲ؀ޙҳ 11 ҙঈҳ 12 ъࢲҳ 0.0147 13 ز੘ҳ 0.0135 14 ࢿ࠘ҳ 0.0123 15 ҳ۽ҳ 0.0106 ইஜ 8:00 ب଱૑ ࣽਤ (%) ইஜীࢎۈٜ੉ೱೞחҔ

ইஜ 8:00 ب଱૑ ࣽਤ (%) ইஜীࢎۈٜ੉ೱೞחҔ ب଱૑ ࢚ਤ 5ѐ ҳח
੹୓ ੉ز੄ ݻ %ܳ ର૑ೡөਃ? ࢲ਎੄ ҳח ୨ 25ѐ ੑפ׮. 1 ъթҳ 2 ઺ҳ 3 ࢲୡҳ 4 ৔١ನҳ 5 ઙ۽ҳ 6 ਊ࢑ҳ 7 ݃ನҳ 8 ࣠౵ҳ 9 ࢿزҳ 10 ࢲ؀ޙҳ 11 ҙঈҳ 12 ъࢲҳ 0.0147 13 ز੘ҳ 0.0135 14 ࢿ࠘ҳ 0.0123 15 ҳ۽ҳ 0.0106

ইஜ 8:00 ب଱૑ ࣽਤ (%) 24% 76% ইஜীࢎۈٜ੉ೱೞחҔ 1 ъթҳ
0.3041 2 ઺ҳ 0.1353 3 ࢲୡҳ 0.1324 4 ৔١ನҳ 0.0874 5 ઙ۽ҳ 0.0784 6 ਊ࢑ҳ 0.0657 7 ݃ನҳ 0.0369 8 ࣠౵ҳ 0.0318 9 ࢿزҳ 0.0282 10 ࢲ؀ޙҳ 0.0275 11 ҙঈҳ 0.0213 12 ъࢲҳ 0.0147 13 ز੘ҳ 0.0135 14 ࢿ࠘ҳ 0.0123 15 ҳ۽ҳ 0.0106

ࢲ਎੄઺बসޖ૑ҳ $#%$FOUSBM#VTJOFTT%JTUSJDU ৔١ನ ઺ҳ ઙ۽ ъթ

↟بद੄࢚স੸ӝמ੉޻૘ػ૑৉ٜ ↟݆਷੉ز੉઺बসޖ૑ҳܳ઺बਵ۽ੌযդ׮ ৔١ನ ъթ ઺ҳ ઙ۽ ࢲ਎੄઺बসޖ૑ҳ $#%$FOUSBM#VTJOFTT%JTUSJDU

৔١ನҳ ୹Ӕ ࢲ਎੄ թࢲଃী ݽৈ࢑׮

઺ҳ,ઙ۽ҳ ୹Ӕ ੌఠܳ ل۞ऱҊ ࢎۈٜ੉ ࢓Ҋ ੓׮

ъթҳ ୹Ӕ ъթ਷ সޖ૑ҳ৬ ઱Ѣ૑о ࢴৈ੓ח ݽण

बঠ ۽оࠇद׮

ࢎۈٜ਷য٣ࢲೞܖܳ݃ޖܻೡө ঠр 23:00 ഐ୹૑ ࣽਤ (%) 1 ъթҳ 2 ઺ҳ
3 ࢲୡҳ 4 ઙ۽ҳ 5 ਊ࢑ҳ 6 ݃ನҳ 7 ৔١ನҳ 8 ࢿزҳ 9 ࣠౵ҳ 10 ࢲ؀ޙҳ 11 ҙঈҳ 0.0109 12 ز੘ҳ 0.0101 13 ҟ૓ҳ 0.0079 14 ҳ۽ҳ 0.0065 15 ъࢲҳ 0.0064 ഐ୹૑ ࢚ਤ 5ѐ ҳח ੹୓ ੉ز੄ ݻ %ܳ ର૑ೡөਃ?

ࢎۈٜ਷য٣ࢲೞܖܳ݃ޖܻೡө ঠр 23:00 ഐ୹૑ ࣽਤ (%) 1 ъթҳ 0.4241 2
઺ҳ 0.1248 3 ࢲୡҳ 0.0982 4 ઙ۽ҳ 0.0791 5 ਊ࢑ҳ 0.0783 6 ݃ನҳ 0.052 7 ৔١ನҳ 0.0435 8 ࢿزҳ 0.0216 9 ࣠౵ҳ 0.0159 10 ࢲ؀ޙҳ 0.0146 11 ҙঈҳ 0.0109 12 ز੘ҳ 0.0101 13 ҟ૓ҳ 0.0079 14 ҳ۽ҳ 0.0065 15 ъࢲҳ 0.0064 20% 80%

ࢎۈٜ਷য٣ࢲೞܖܳ݃ޖܻೡө ঠр 23:00 ഐ୹૑ ࣽਤ (%) 1 ъթҳ 0.1897 2
ࢲୡҳ 0.1086 3 ਊ࢑ҳ 0.0817 4 ҙঈҳ 0.0741 5 ࣠౵ҳ 0.0694 6 ࢿزҳ 0.0694 7 ݃ನҳ 0.0667 8 ز੘ҳ 0.0607 9 ৔١ನҳ 0.0531 10 ҟ૓ҳ 0.0431 11 ઺ҳ 0.0406 12 ࢿ࠘ҳ 0.0398 13 ࢲ؀ޙҳ 0.0379 14 ਷ಣҳ 0.0339 15 ઙ۽ҳ 0.0312 ঠр 23:00 ب଱૑ ࣽਤ (%) 1 ъթҳ 0.4241 2 ઺ҳ 0.1248 3 ࢲୡҳ 0.0982 4 ઙ۽ҳ 0.0791 5 ਊ࢑ҳ 0.0783 6 ݃ನҳ 0.052 7 ৔١ನҳ 0.0435 8 ࢿزҳ 0.0216 9 ࣠౵ҳ 0.0159 10 ࢲ؀ޙҳ 0.0146 11 ҙঈҳ 0.0109 12 ز੘ҳ 0.0101 13 ҟ૓ҳ 0.0079 14 ҳ۽ҳ 0.0065 15 ъࢲҳ 0.0064

बঠदр1. ୹ߊ ب଱

ইஜदр". ୹ߊ ب଱

ݽ࠽ܻ౭ؘ੉ఠ࠙ࢳоח઱۽যڃؘ੉ఠܳࠁաਃ Origin - Destination data • ౠ੿ दр زউ যו
૑৉੄ ࢎۈٜ੉ য٣۽ ੉زೞӡ ਗೞחо? • ࠂ੟ೠ بद ࣘ ੉ز ಁఢী ؀ೠ Ѫ

ݽ࠽ܻ౭ؘ੉ఠ࠙ࢳоח઱۽যڃؘ੉ఠܳࠁաਃ Origin - Destination data • ؘ੉ఠࣁ౟ ৘द id created_at_kr
status origin_lng origin_lat origin_gu destination_lng destination_lat dest_si dest_gu 1 2019-01-30T00:25:20 CANCELED 127.0414496 37.51002284 ъթҳ 127.1909267 37.56209539 ҃ӝ ೞթद 2 2019-011-27T15:37:40 ACCEPTED 127.0563954 37.54280202 ࢿزҳ 126.8721171 37.45949251 ҃ӝ ҟݺद 3 2019-09-16T17:52:19 ARRIVED_AT 127.0613762 37.51048997 ъթҳ 127.1375613 37.59445381 ҃ӝ ҳܻद 4 2019-04-22T19:43:07 PICKED_UP 127.1105661 37.51265727 ࣠౵ҳ 126.9714429 37.40572274 ҃ӝ উনद 5 2019-07-07T21:33:56 RIDING 127.0127873 37.49320677 ࢲୡҳ 127.0709374 37.27701722 ҃ӝ ਊੋद 6 2019-10-30T21:35:33 DROPPED_OFF 127.0018494 37.58132881 ࢿزҳ 127.1243009 37.32402575 ҃ӝ ౵઱द 7 2019-09-27T21:41:36 DISPATCHING 127.0730746 37.5113235 ࣠౵ҳ 126.983202 37.39739958 ҃ӝ ੄৴द 8 2019-12-24T22:53:23 CANCELED 126.9696439 37.5635487 ઺ҳ 126.9936623 37.43394209 ҃ӝ җୌद ഐ୹૑ / ਤ҃ب ب଱૑ / ਤ҃ب दр

ݽ࠽ܻ౭ؘ੉ఠ࠙ࢳоח઱۽যڃؘ੉ఠܳࠁաਃ Origin - Destination data • ؘ੉ఠࣁ౟ ৘द id created_at_kr
status origin_lng origin_lat origin_gu destination_lng destination_lat dest_si dest_gu 1 2019-01-30T00:25:20 CANCELED 127.0414496 37.51002284 ъթҳ 127.1909267 37.56209539 ҃ӝ ೞթद 2 2019-011-27T15:37:40 ACCEPTED 127.0563954 37.54280202 ࢿزҳ 126.8721171 37.45949251 ҃ӝ ҟݺद 3 2019-09-16T17:52:19 ARRIVED_AT 127.0613762 37.51048997 ъթҳ 127.1375613 37.59445381 ҃ӝ ҳܻद 4 2019-04-22T19:43:07 PICKED_UP 127.1105661 37.51265727 ࣠౵ҳ 126.9714429 37.40572274 ҃ӝ উনद 5 2019-07-07T21:33:56 RIDING 127.0127873 37.49320677 ࢲୡҳ 127.0709374 37.27701722 ҃ӝ ਊੋद 6 2019-10-30T21:35:33 DROPPED_OFF 127.0018494 37.58132881 ࢿزҳ 127.1243009 37.32402575 ҃ӝ ౵઱द 7 2019-09-27T21:41:36 DISPATCHING 127.0730746 37.5113235 ࣠౵ҳ 126.983202 37.39739958 ҃ӝ ੄৴द 8 2019-12-24T22:53:23 CANCELED 126.9696439 37.5635487 ઺ҳ 126.9936623 37.43394209 ҃ӝ җୌद ഐ୹ ஂࣗ ٘ۄ੉ߡ ഐ୹ ࣻۅ ٘ۄ੉ߡ ب଱ थё ఑थ ਍೯ थё ೞର ؀ӝ ࢚క 다양한 상태 값을 가짐

2. ؘ੉ఠ۽ ಹח ݽ࠽ܻ౭ ޙઁ

https://dribbble.com/shots/4153309-The-Wait ޖ঱оӝ׮ܻח਋ܻ੄ݽण jj

ର۝ഐ୹ ର۝ب଱ ݾ੸૑୹ߊ ݾ੸૑ب଱ Icons made by Freepik from www.ﬂaticon.com
is licensed by CC 3.0 BY ఋ׮҃೷ৈ੿

ର۝ഐ୹ ର۝ب଱ ݾ੸૑୹ߊ ݾ੸૑ب଱ Icons made by Freepik from www.ﬂaticon.com
is licensed by CC 3.0 BY ఋ׮҃೷ৈ੿ 데이터로 사용자 경험을 개선한 이야기

ETA ۆ? • Estimated time of arrival ( ৘࢚ ب଱
दр ) • ର۝ਸ ഐ୹ೞҊ Ҋёীѱ ب଱ೞӝө૑ ݽ࠽ܻ౭ী.-੸ਊೞӝ

ݽ࠽ܻ౭ী.-੸ਊೞӝ 주요 호출 취소 사유

&5"ޙઁܳ೧Ѿೞחߑߨٜ ର۝ਸט۰ࢲ  Әߑب଱ೞѱ݅ٚ׮

ର۝ਸט۰ࢲ  Әߑب଱ೞѱ݅ٚ׮ تҗदр੉ٚ׮ അप੸ੋޙઁ &5"ޙઁܳ೧Ѿೞחߑߨٜ

&5"ޙઁܳ೧Ѿೞחߑߨٜ ࠙ױਤ۽߈ৢܿਸೠ׮ ର۝ਸט۰ࢲ  Әߑب଱ೞѱ݅ٚ׮ تҗदр੉ٚ׮ അप੸ੋޙઁ

&5"ޙઁܳ೧Ѿೞחߑߨٜ ࠙ੋؘ࠙ਵ۽ ցޖࠗ੿ഛೞ׮ ࠙ױਤ۽߈ৢܿਸೠ׮ ର۝ਸט۰ࢲ  Әߑب଱ೞѱ݅ٚ׮ تҗदр੉ٚ׮ അप੸ੋޙઁ

&5"ޙઁܳ೧Ѿೞחߑߨٜ ࠙ੋؘ࠙ਵ۽ ցޖࠗ੿ഛೞ׮ ࠙ױਤ۽߈ৢܿਸೠ׮ ର۝ਸט۰ࢲ  Әߑب଱ೞѱ݅ٚ׮ تҗदр੉ٚ׮ അप੸ੋޙઁ ؊੿ഛೠчਸઁҕ೧ঠೠ׮

&5"ޙઁܳ೧Ѿೞחߑߨٜ ݠन۞׬ ݽ؛ਸ ੸ਊ೧ࠁ੗ ࠙ੋؘ࠙ਵ۽ ցޖࠗ੿ഛೞ׮ ࠙ױਤ۽߈ৢܿਸೠ׮ ର۝ਸט۰ࢲ  Әߑب଱ೞѱ݅ٚ׮
تҗदр੉ٚ׮ അप੸ੋޙઁ ؊੿ഛೠчਸઁҕ೧ঠೠ׮

೐۽ં౟ݾ੸ ↟Ҋёীѱࠁ׮੿ഛೠ৘࢚ب଱दрਸࠁৈ઱੗ ↟੉ఎਸ݄Ҋ ࢲ࠺झ૕ਸ֫੉חੌ ӝઓ&5" ֎੉ߡ"1* ࠁ੿&5" .-ݽ؛ ↟ ٘ۄ੉ߡҗѢ਍೯ಁఢ

&5"ҙ۲ؘ੉ఠఐ࢝ दрীٮܲ&5"౟۪٘ ਘ߹ दр؀߹ 6ਘ ର۝ ૐର റ хࣗ ୶ࣁ
୹Ӕ दр ృӔ दр

&5"ҙ۲ؘ੉ఠఐ࢝ ૑৉ীٮܲಣӐ&5" Aҳ Bҳ

٘ۄ੉ߡী ٮܲ ಞରо ௼׮ &5"ҙ۲ؘ੉ఠఐ࢝ ৘࢚ ب଱ दрࠁ׮ ןח ҃ೱࢿ
= SUM(੉੹ ۄ੉٘ Ѥٜ੄ पઁ ࣗਃ दр) / SUM(੉੹ ۄ੉٘ Ѥٜ੄ ৘࢚ ࣗਃ दр)

٘ۄ੉ߡী ٮܲ ಞରо ௼׮ &5"ҙ۲ؘ੉ఠఐ࢝

٘ۄ੉ߡী ٮܲ ಞରо ௼׮ &5"ҙ۲ؘ੉ఠఐ࢝ ডр ןח ࢿೱ 1.0 ~
1.5

٘ۄ੉ߡী ٮܲ ಞରо ௼׮ &5"ҙ۲ؘ੉ఠఐ࢝ ן૑ ঋח ࢿೱ

ࢎਊೠೖ୛ٜ ٘ۄ੉ߡןח҃ೱࢿ Ҋё੄৘ডஂࣗా҅஖ ӝઓ&5" दр ਃੌ ର۝_ഐ୹૑ࢎ੉੄Ѣܻ ਤب ҃ب ߸ࣻ
઺ਃب

ࢎਊೠೖ୛ٜ ٘ۄ੉ߡןח҃ೱࢿ Ҋёۄ੉٘ஂࣗా҅஖ ޖ঱оࡐݡ਷Ѫэ਷ו՝

ࢎਊೠೖ୛ٜ ٘ۄ੉ߡןח҃ೱࢿ Ҋёۄ੉٘ஂࣗా҅஖ ղо݅ٚݽ؛࠙ੌନয়חѪҗ࠙ੌନןѱѪਸҳ࠙ೞ૑ޅೣ അपੌନয়חѪҗןѱয়חѪ੄৔ೱ਷׮ܰ׮

ݽ࠽ܻ౭ী.-੸ਊೞӝ ಣо ૑಴ ੤੿੄ • ੌ߈੸ਵ۽ ॳ੉ח MSE ࣚप ೣࣻ۽
೟णೠ׮ݶ • Ҋёীѱ ןח Ѫҗ ࡈܻ য়ח Ѫਸ ڙэ੉ ੋध

ݽ࠽ܻ౭ী.-੸ਊೞӝ ಣо ૑಴ ੤੿੄ • Ҋё ҃೷ী ؊ աࢂ ৔ೱਸ
઱ח Ѫ਷ ןѱ য়ח Ѫ • ٮۄࢲ ןѱ য়ח Ѫী ಕօ౭ܳ ؊ ઱ب۾ • ࣚप ೣࣻܳ ੤੿੄ • ࠺؀ட੸ ਤ೷ (Asymmetrical risk) • ੌ߈੸ਵ۽ ॳ੉ח MSE ࣚप ೣࣻ۽ ೟णೠ׮ݶ • Ҋёীѱ ןח Ѫҗ ࡈܻ য়ח Ѫਸ ڙэ੉ ੋध

ݽ࠽ܻ౭ী.-੸ਊೞӝ ಣо ૑಴ ੤੿੄

ݽ࠽ܻ౭ী.-੸ਊೞӝ ಣо ૑಴ ੤੿੄ weight = 0.4  residual = y_true
- y_predict  grad = np.where(residual<0, -2.0*residual, -2.0*weight*residual) য়ରо 0ࠁ׮ ௾ ҃਋৬ ੘਷ ҃਋ী ಁօ౭ܳ ׮ܰѱ ઱ח ೣࣻܳ ੿੄ Params = {  ‘objective’ : custom_asymmetric_objective } ݾ੸ೣࣻܳ ੤੿੄ೠ ೣࣻ۽ ૑੿

ݽ࠽ܻ౭ী.-੸ਊೞӝ Ѿҗ

ݽ؛݂ ױ҅ীࢲ ו՛ Ѫ • അपী ੸ਊೡ ٸח ׮নೠ ૑಴ٜਸ
ೣԋ Ҋ޹೧ঠೠ׮ • ఋ׮ ࢎ۹ • ੿ഛب ૑಴ : MAE • ࠺૑פझ ૑಴ : ૑п ࠺ਯਸ ծ୶ח Ѫ / Ҋё ҃೷ ೱ࢚ ੿ഛب  ૑಴ ࠺૑פझ ҙ੼   ૑಴ ݽ࠽ܻ౭ী.-੸ਊೞӝ

ߓನ ળ࠺ ױ҅ ݽ࠽ܻ౭ী.-੸ਊೞӝ

ߓನ ળ࠺ ױ҅ • ݽ؛݂਷ ৮߷ೞѱ ՘լ׮ • ੉ઁ ࣁ࢚ਵ۽
ղࠁղ੗ ݽ࠽ܻ౭ী.-੸ਊೞӝ ࠁ੿ ݽ؛ ӝઓ ETA ࠁ੿ ETA

ߓನ റ ݽ࠽ܻ౭ী.-੸ਊೞӝ

ঌ ࣻ হח ਗੋ ݽ࠽ܻ౭ী.-੸ਊೞӝ • যڃ ࠙ನ੄ ೖ୛ٜ੉ ٜয৳ח૑ী
؀ೠ ۽Ӧਸ ೞ૑ ঋও׮ ࠁ੿ ݽ؛ ӝઓ ETA ࠁ੿ ETA

ঌ ࣻ হח ਗੋ ݽ࠽ܻ౭ী.-੸ਊೞӝ ࠗपೠ ۽Ӧ • पઁ ч
• ৘ஏ ч • যڃ ࠙ನ੄ ೖ୛ٜ੉ ٜয৳ח૑ী ؀ೠ ۽Ӧਸ ೞ૑ ঋও׮ • ٮۄࢲ ݽ؛੉ ৵ Ӓۧѱ ৘ஏ೮ח૑ ঌ ࣻо হ׮ ࠁ੿ ݽ؛ ӝઓ ETA ࠁ੿ ETA

ੌױ ܀ߔ ݽ࠽ܻ౭ী.-੸ਊೞӝ • ٘ۄ੉۠ - ࢲ࠺झীח ੸ਊೞ૑ ঋҊ पઁ
ജ҃ীࢲ పझ౟݅ ૓೯ ࠁ੿ ݽ؛ ӝઓ ETA ࠁ੿ ETA ӝઓ ETA

ੌױ ܀ߔ ݽ࠽ܻ౭ী.-੸ਊೞӝ • ٘ۄ੉۠ - ࢲ࠺झীח ੸ਊೞ૑ ঋҊ पઁ
ജ҃ীࢲ పझ౟݅ ૓೯ • ࠻௪ܻ৬ క࠶۽۽ ݽפఠ݂ بҳܳ ݃۲ೞҊ ۽Ӓܳ ऺইࠆ ࠁ੿ ݽ؛ ӝઓ ETA ࠁ੿ ETA ӝઓ ETA

য়ܨо լ؍ ਗੋ ݽ࠽ܻ౭ী.-੸ਊೞӝ • ઱ਃೠ ೖ୛ ઺ ೞաо ࢲ۽
׮ܲ ࠙ನܳ о૑Ҋ ੓঻׮ (ࢲ۽ ׮ܲ ױਤ ޙઁ) Train ױ҅

׮ܲ ࠙ನܳ о૑Ҋ ੓঻׮ (ࢲ۽ ׮ܲ ױਤ ޙઁ) Train ױ҅ Test ױ҅

׮ܲ ࠙ನܳ о૓׮ • ߓನ ੉੹ী ݽפఠ݂ਸ ؀࠺೮׮ݶ Әߑ ೧Ѿ೮ਸ ޙઁ • ѐߊ੗৬ ഈস җ੿ীࢲ ੄ࢎ ࣗా ޙઁ Train ױ҅ Test ױ҅

ݽ࠽ܻ౭ী.-੸ਊೞӝ ઱য૓  ؘ੉ఠࣇ ࠙ࢳ ߂ ݽ؛݂ ઱য૓   ಣо ૑಴ 
(MAE,RMSE) ঌ؍ Ѫ

઱য૓  ؘ੉ఠࣇ ࠙ࢳ ߂ ݽ؛݂ ઱য૓   ಣо ૑಴  (MAE,RMSE)
࠙ࢳ ߂ ݽ؛݂ ࢜۽ ੿੄ೞח   ಣо૑಴ ࢜۽ ݅٘ח  ؘ੉ఠࣇ ߓನ ߂   ݽפఠ݂ ঌ؍ Ѫ ೧ঠ೮؍ Ѫ ݽ࠽ܻ౭ী.-੸ਊೞӝ

2. ؘ੉ఠ۽ ಹח فߣ૩ ݽ࠽ܻ౭ ޙઁ

٘ۄ੉ߡоغযࠇद׮ ੉ ࢚ടীࢲ ѐੋ੉ ղܾ ࣻ ੓ח ୭੸੄ ࢶఖ਷? ৘࢚
ࣻਃ

٘ۄ੉ߡоغযࠇद׮ ѐੋ ౸ױೡ ࣻ ੓ח ୭੸੄ ࢶఖ ৘࢚ ࣻਃ

Ӓۢ٘ۄ੉ߡоৈ۞ݺ੉ۄݶ ৘࢚ ࣻਃ

৘࢚ ࣻਃ بद ੹୓ ҙ੼ীࢲח ୭੸੉ ইצ Ѿҗ Ӓۢ٘ۄ੉ߡоৈ۞ݺ੉ۄݶ

੹୓੄ҙ੼ 'MFFU ীࢲ୭੸੄ࢶఖ ৘࢚ ࣻਃ

੹୓੄ҙ੼ 'MFFU ীࢲ୭੸੄ࢶఖ ৘࢚ ࣻਃ ର۝਍৔ബਯച

੹୓੄ҙ੼ 'MFFU ীࢲ୭੸੄ࢶఖ ৘࢚ ࣻਃ ର۝਍৔ബਯച ݠन۞׬दр߹૑৉߹ࣻਃPSҕәਸ৘ஏ ୭੸ചݽ؛੉৘ஏೠчܳ߄ఔਵ۽୭੸ച +

• Linear Programming • Integer Programming • Routing • Packing
• Network Flows • Assignment • Scheduling Operation research

ݽ࠽ܻ౭৬୭੸ച

֎౟ਕ௼ • ֢٘৬ ݂௼۽ ੉ܖয૓ ֎౟ਕ௼

֢٘ /PEF ੿੄ೞӝ -20 -20 -20 -10 -50 -40 90
30 • ֢٘ח ౠ੿ೠ ૑৉੉ۄҊ ೡ ࣻ ੓׮ • ҕә ֢٘ : թח ର۝੉ ߊࢤೞח ૑৉ • ࣻਃ ֢٘ : ࣻਃо ߊࢤೞח ૑৉

݂௼ -JOL ੿੄ೞӝ • ݂௼ח ֢٘৬ ֢٘ܳ োѾೠ׮ • ݂௼ܳ
ా೧ ੉زਸ ೡ ҃਋ীח ࠺ਊ੉ ߊࢤ • അपীࢲח Ѣܻ ഑਷ ࣗਃ दр 30 5 10 12 12 20 5 10

-20 -20 -20 -10 -50 -40 90 30 • ਋ܻо
૒੽ ੿੄ೠ ֎౟ਕ௼ 30 5 10 12 12 20 5 10 ֎౟ਕ௼

ݽ࠽ܻ౭৬୭੸ച ݂௼੄ ࠺ਊਸ ੿੄ п ֢٘੄ ҕәҗ ࣻਃܳ ੿੄ ࣛߡܳ
ࢶ঱ೞҊ, ֎౟ਕ௼ܳ ҳࢿ https://developers.google.com/optimization/ﬂow/mincostﬂow

-20 -10 -50 -40 90 30 ݽ࠽ܻ౭৬୭੸ച • ࠺ਊਸ ୭ࣗചೞݶࢲ
ҕә ֢٘ীࢲ ࣻਃ ֢٘۽ ੉زदఃח ߑध • Min cost ﬂow problem

ݽ࠽ܻ౭৬୭੸ച 0 4 5 3 1 2 20 10 50
40 50 • ࣛߡ(Solver)о ળ ׹

ݽ࠽ܻ౭৬୭੸ച 0 4 5 3 1 2 20 10 50
40 50 • ࣛߡ(Solver)о ળ ׹ • അपীࢲ Ҋ۰೧ঠೡ ࢎ೦ٜ • ੉ز ઺ী ௒੉ ੟൧ ࣻب ੓׮ • ҕә਷ োࣘ੸ਵ۽ ߊࢤೠ׮

3. ഥҊ

.-ݽ؛ਸ݅٘חѪҗपઁജ҃ীࢲ࠺झೞחѪ ݽ؛݂ Ӓ ੉റܳ ࢤпೞӝ • ߓನ റীب উ੿੸ਵ۽ ҙܻೡ
ࣻ ੓ח ജ҃ਸ ݃۲೧فח Ѫ੉ ઺ਃ (ݽפఠ݂) ࢚ടী ݏח ݾ੸ೣࣻ ଺ӝ • ೙ਃೞ׮ݶ ࣚप ೣࣻܳ ੤੿੄೧ঠೡ ࣻب ੓׮ • Objective is subjective !

بݫੋীҙೠ੉ঠӝ ־ҳաীѱ ੓ਸ п੗੄ بݫੋ • ೧׼ بݫੋীࢲח ݠन۞׬, ٩۞׬੉
੹ࠗо ইק ࣻ ੓Ҋ • ഑਷ ׮ܲ ӝߨٜҗ ೣԋ ॳৈঠ ࡄਸ ߊೡ ٸо ੓ח Ѫ э׮

౱೒ۨ੉੄઺ਃࢿ ഒ੗ࢲ ݽٚ Ѫਸ ೡ ࣻח হӝী • ؘ੉ఠূ૑פয +
ؘ੉ఠ࠙ࢳо + ѐߊ੗ + ਍৔౱ • ׮নೠ ૒ҵ੄ ࢎۈٜҗ ഈসਵ۽ ޙઁܳ ೧Ѿ೧աоҊ ੓਺ ઱߸ਵ۽ࠗఠ ݆੉ ߓ਋ӝ • જ਷ ࢎࣻ, ׮ܲ ૒ҵ੄ زܐ

ߊ಴ܳب৬઱दҊ ೦࢚৔хਸ઱חLZMF https://zzsza.github.io/

଻ਊ ؘ੉ఠӒܛ • ఋ׮ؘ੉ఠ౱ • ؘ੉ఠࢎ੉঱झ౱ • оѺ੹ۚ౱ • ؘ੉ఠূ૑פয݂౱
• URL : bit.ly/ؘ੉ఠঠ֥੗॑஠଻ਊ ؘ੉ఠ౱ • ؘ੉ఠূ૑פয • ؘ੉ఠࢎ੉঱౭झ౟ • URL : https://tadacareer.vcnc.co.kr/

хࢎ೤פ׮

모빌리티데이터팀 신입 데이터 분석가의 1년 회고

모빌리티데이터팀 신입 데이터 분석가의 1년 회고

More Decks by SOCAR

Other Decks in Programming

Featured

Transcript