Overview

Dataset statistics

Number of variables16
Number of observations10000
Missing cells70003
Missing cells (%)43.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory143.0 B

Variable types

Numeric1
Text1
Unsupported7
Categorical6
DateTime1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21706/F/1/datasetView.do

Alerts

Unnamed: 15 has constant value ""Constant
유동인구_속성조사_2009 is highly overall correlated with Unnamed: 4 and 5 other fieldsHigh correlation
Unnamed: 4 is highly overall correlated with 유동인구_속성조사_2009 and 1 other fieldsHigh correlation
Unnamed: 7 is highly overall correlated with 유동인구_속성조사_2009High correlation
Unnamed: 9 is highly overall correlated with 유동인구_속성조사_2009High correlation
Unnamed: 10 is highly overall correlated with 유동인구_속성조사_2009High correlation
Unnamed: 13 is highly overall correlated with 유동인구_속성조사_2009High correlation
Unnamed: 14 is highly overall correlated with 유동인구_속성조사_2009 and 1 other fieldsHigh correlation
Unnamed: 2 has 10000 (100.0%) missing valuesMissing
Unnamed: 3 has 10000 (100.0%) missing valuesMissing
Unnamed: 5 has 10000 (100.0%) missing valuesMissing
Unnamed: 6 has 10000 (100.0%) missing valuesMissing
Unnamed: 8 has 10000 (100.0%) missing valuesMissing
Unnamed: 11 has 10000 (100.0%) missing valuesMissing
Unnamed: 12 has 10000 (100.0%) missing valuesMissing
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 04:02:13.884686
Analysis finished2023-12-11 04:03:51.055555
Duration1 minute and 37.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유동인구_속성조사_2009
Real number (ℝ)

HIGH CORRELATION 

Distinct9999
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9961.8327
Minimum1
Maximum20000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T13:03:51.165935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1021.9
Q14978.5
median9902
Q314965
95-th percentile18978.1
Maximum20000
Range19999
Interquartile range (IQR)9986.5

Descriptive statistics

Standard deviation5766.1257
Coefficient of variation (CV)0.57882178
Kurtosis-1.1959081
Mean9961.8327
Median Absolute Deviation (MAD)4980
Skewness0.014064979
Sum99608365
Variance33248206
MonotonicityNot monotonic
2023-12-11T13:03:51.355488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5675 1
 
< 0.1%
9496 1
 
< 0.1%
17127 1
 
< 0.1%
5834 1
 
< 0.1%
1668 1
 
< 0.1%
11647 1
 
< 0.1%
2766 1
 
< 0.1%
6602 1
 
< 0.1%
11665 1
 
< 0.1%
533 1
 
< 0.1%
Other values (9989) 9989
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
3 1
< 0.1%
8 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
17 1
< 0.1%
20 1
< 0.1%
ValueCountFrequency (%)
20000 1
< 0.1%
19999 1
< 0.1%
19998 1
< 0.1%
19996 1
< 0.1%
19992 1
< 0.1%
19991 1
< 0.1%
19989 1
< 0.1%
19988 1
< 0.1%
19986 1
< 0.1%
19985 1
< 0.1%

Unnamed: 1
Text

Distinct1000
Distinct (%)10.0%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T13:03:51.739670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3765377
Min length6

Characters and Unicode

Total characters63759
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07-1137
2nd row08-105
3rd row24-150
4th row02-026
5th row03-935
ValueCountFrequency (%)
23-925 18
 
0.2%
07-068 17
 
0.2%
07-021 17
 
0.2%
23-343 15
 
0.2%
10-203 15
 
0.2%
24-3046 15
 
0.2%
09-3024 15
 
0.2%
16-022 15
 
0.2%
19-1217 15
 
0.2%
23-711 15
 
0.2%
Other values (990) 9842
98.4%
2023-12-11T13:03:52.296289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11485
18.0%
1 10621
16.7%
- 9999
15.7%
2 9407
14.8%
3 5091
8.0%
4 3711
 
5.8%
5 3223
 
5.1%
7 2714
 
4.3%
6 2551
 
4.0%
9 2491
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53760
84.3%
Dash Punctuation 9999
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11485
21.4%
1 10621
19.8%
2 9407
17.5%
3 5091
9.5%
4 3711
 
6.9%
5 3223
 
6.0%
7 2714
 
5.0%
6 2551
 
4.7%
9 2491
 
4.6%
8 2466
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 9999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63759
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11485
18.0%
1 10621
16.7%
- 9999
15.7%
2 9407
14.8%
3 5091
8.0%
4 3711
 
5.8%
5 3223
 
5.1%
7 2714
 
4.3%
6 2551
 
4.0%
9 2491
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63759
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11485
18.0%
1 10621
16.7%
- 9999
15.7%
2 9407
14.8%
3 5091
8.0%
4 3711
 
5.8%
5 3223
 
5.1%
7 2714
 
4.3%
6 2551
 
4.0%
9 2491
 
3.9%

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 4
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
여자
5106 
남자
4893 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0002
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row여자
2nd row남자
3rd row남자
4th row남자
5th row남자

Common Values

ValueCountFrequency (%)
여자 5106
51.1%
남자 4893
48.9%
<NA> 1
 
< 0.1%

Length

2023-12-11T13:03:52.455176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:03:52.566505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여자 5106
51.1%
남자 4893
48.9%
na 1
 
< 0.1%

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 7
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
50~59세
2080 
20~29세
2071 
40~49세
1862 
30~39세
1835 
60세이상
1500 
Other values (2)
652 

Length

Max length6
Median length6
Mean length5.8498
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row60세이상
2nd row30~39세
3rd row60세이상
4th row60세이상
5th row60세이상

Common Values

ValueCountFrequency (%)
50~59세 2080
20.8%
20~29세 2071
20.7%
40~49세 1862
18.6%
30~39세 1835
18.4%
60세이상 1500
15.0%
15~19세 651
 
6.5%
<NA> 1
 
< 0.1%

Length

2023-12-11T13:03:52.673055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:03:52.773812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50~59세 2080
20.8%
20~29세 2071
20.7%
40~49세 1862
18.6%
30~39세 1835
18.4%
60세이상 1500
15.0%
15~19세 651
 
6.5%
na 1
 
< 0.1%

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 9
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
개인용무/집안일(병원,은행,관공서,종교,봉사활동등)
1616 
업무관련
1569 
여가/오락/친교/모임/식사(회식,음료포함)
1368 
출근
1135 
물건을사려고
951 
Other values (12)
3361 

Length

Max length28
Median length19
Mean length13.2647
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row개인용무/집안일(병원,은행,관공서,종교,봉사활동등)
2nd row출근
3rd row그냥걸으려고(운동,산책,기분전환 등)
4th row여가/오락/친교/모임/식사(회식,음료포함)
5th row그냥걸으려고(운동,산책,기분전환등)

Common Values

ValueCountFrequency (%)
개인용무/집안일(병원,은행,관공서,종교,봉사활동등) 1616
16.2%
업무관련 1569
15.7%
여가/오락/친교/모임/식사(회식,음료포함) 1368
13.7%
출근 1135
11.3%
물건을사려고 951
9.5%
귀가/퇴근/하교 865
8.6%
역/정류장/교통수단이용 587
 
5.9%
학업관련(학원/도서관) 474
 
4.7%
그냥걸으려고(운동,산책,기분전환 등) 371
 
3.7%
그냥걸으려고(운동,산책,기분전환등) 356
 
3.6%
Other values (7) 708
7.1%

Length

2023-12-11T13:03:52.903245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개인용무/집안일(병원,은행,관공서,종교,봉사활동등 1616
15.0%
업무관련 1569
14.5%
여가/오락/친교/모임/식사(회식,음료포함 1368
12.7%
출근 1135
10.5%
물건을사려고 951
8.8%
귀가/퇴근/하교 865
8.0%
역/정류장/교통수단이용 587
 
5.4%
학업관련(학원/도서관 474
 
4.4%
그냥걸으려고(운동,산책,기분전환 371
 
3.4%
등 371
 
3.4%
Other values (13) 1501
13.9%

Unnamed: 10
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
매일
3480 
주3~5회
2904 
주1~2회
1746 
월1~2회
1060 
오늘처음
434 
Other values (2)
376 

Length

Max length7
Median length5
Mean length3.9875
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row주3~5회
2nd row매일
3rd row매일
4th row월1~2회
5th row매일

Common Values

ValueCountFrequency (%)
매일 3480
34.8%
주3~5회 2904
29.0%
주1~2회 1746
17.5%
월1~2회 1060
 
10.6%
오늘처음 434
 
4.3%
6개월1~3회 375
 
3.8%
<NA> 1
 
< 0.1%

Length

2023-12-11T13:03:53.022153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:03:53.137346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매일 3480
34.8%
주3~5회 2904
29.0%
주1~2회 1746
17.5%
월1~2회 1060
 
10.6%
오늘처음 434
 
4.3%
6개월1~3회 375
 
3.8%
na 1
 
< 0.1%

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Unnamed: 13
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
보통
4958 
약간만족
1927 
약간불만족
1696 
매우만족
885 
매우불만족
533 

Length

Max length5
Median length4
Mean length3.2313
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row약간불만족
2nd row보통
3rd row매우만족
4th row매우만족
5th row약간불만족

Common Values

ValueCountFrequency (%)
보통 4958
49.6%
약간만족 1927
 
19.3%
약간불만족 1696
 
17.0%
매우만족 885
 
8.8%
매우불만족 533
 
5.3%
<NA> 1
 
< 0.1%

Length

2023-12-11T13:03:53.263250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:03:53.363172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보통 4958
49.6%
약간만족 1927
 
19.3%
약간불만족 1696
 
17.0%
매우만족 885
 
8.8%
매우불만족 533
 
5.3%
na 1
 
< 0.1%

Unnamed: 14
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
(전업)주부
2095 
(대)학생
1686 
사무/기술직
1509 
자영업
1010 
판매/서비스직
999 
Other values (6)
2701 

Length

Max length7
Median length6
Mean length5.5438
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row(전업)주부
2nd row사무/기술직
3rd row무직/기타
4th row자영업
5th row무직/기타

Common Values

ValueCountFrequency (%)
(전업)주부 2095
20.9%
(대)학생 1686
16.9%
사무/기술직 1509
15.1%
자영업 1010
10.1%
판매/서비스직 999
10.0%
무직/기타 843
8.4%
전문/자유직 789
 
7.9%
일용/작업직 486
 
4.9%
경영/관리직 345
 
3.5%
생산/운수직 237
 
2.4%

Length

2023-12-11T13:03:53.491491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전업)주부 2095
20.9%
대)학생 1686
16.9%
사무/기술직 1509
15.1%
자영업 1010
10.1%
판매/서비스직 999
10.0%
무직/기타 843
8.4%
전문/자유직 789
 
7.9%
일용/작업직 486
 
4.9%
경영/관리직 345
 
3.5%
생산/운수직 237
 
2.4%

Unnamed: 15
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
Minimum2009-01-01 00:00:00
Maximum2009-01-01 00:00:00
2023-12-11T13:03:53.614148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:03:53.699163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T13:02:15.993640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T13:03:53.766515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유동인구_속성조사_2009Unnamed: 4Unnamed: 7Unnamed: 9Unnamed: 10Unnamed: 13Unnamed: 14
유동인구_속성조사_20091.0000.1290.0820.1910.1700.1970.185
Unnamed: 40.1291.0000.0690.3320.0690.0000.690
Unnamed: 70.0820.0691.0000.4910.1330.0560.673
Unnamed: 90.1910.3320.4911.0000.4160.1060.611
Unnamed: 100.1700.0690.1330.4161.0000.0780.125
Unnamed: 130.1970.0000.0560.1060.0781.0000.111
Unnamed: 140.1850.6900.6730.6110.1250.1111.000
2023-12-11T13:03:53.892224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 9Unnamed: 14Unnamed: 7Unnamed: 4Unnamed: 10Unnamed: 13
Unnamed: 91.0000.2920.2610.2610.2140.054
Unnamed: 140.2921.0000.4360.5380.0660.046
Unnamed: 70.2610.4361.0000.0500.0490.038
Unnamed: 40.2610.5380.0501.0000.0500.000
Unnamed: 100.2140.0660.0490.0501.0000.053
Unnamed: 130.0540.0460.0380.0000.0531.000
2023-12-11T13:03:53.999772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유동인구_속성조사_2009Unnamed: 4Unnamed: 7Unnamed: 9Unnamed: 10Unnamed: 13Unnamed: 14
유동인구_속성조사_20091.0001.0001.0001.0001.0001.0001.000
Unnamed: 41.0001.0000.0500.2610.0500.0000.538
Unnamed: 71.0000.0501.0000.2610.0490.0380.436
Unnamed: 91.0000.2610.2611.0000.2140.0540.292
Unnamed: 101.0000.0500.0490.2141.0000.0530.066
Unnamed: 131.0000.0000.0380.0540.0531.0000.046
Unnamed: 141.0000.5380.4360.2920.0660.0461.000

Missing values

2023-12-11T13:03:50.463374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T13:03:50.715101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T13:03:50.920235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

유동인구_속성조사_2009Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15
5677567507-1137<NA><NA>여자<NA><NA>60세이상<NA>개인용무/집안일(병원,은행,관공서,종교,봉사활동등)주3~5회<NA><NA>약간불만족(전업)주부2009
6273627108-105<NA><NA>남자<NA><NA>30~39세<NA>출근매일<NA><NA>보통사무/기술직2009
186111860924-150<NA><NA>남자<NA><NA>60세이상<NA>그냥걸으려고(운동,산책,기분전환 등)매일<NA><NA>매우만족무직/기타2009
1424142202-026<NA><NA>남자<NA><NA>60세이상<NA>여가/오락/친교/모임/식사(회식,음료포함)월1~2회<NA><NA>매우만족자영업2009
3377337503-935<NA><NA>남자<NA><NA>60세이상<NA>그냥걸으려고(운동,산책,기분전환등)매일<NA><NA>약간불만족무직/기타2009
2347234502-280<NA><NA>남자<NA><NA>60세이상<NA>개인용무/집안일(병원,은행,관공서,종교,봉사활동등)월1~2회<NA><NA>보통무직/기타2009
2128212602-205<NA><NA>남자<NA><NA>30~39세<NA>업무관련주3~5회<NA><NA>보통생산/운수직2009
3010300803-1002<NA><NA>남자<NA><NA>20~29세<NA>여가/오락/친교/모임/식사(회식,음료포함)월1~2회<NA><NA>매우만족(대)학생2009
139991399719-112<NA><NA>여자<NA><NA>50~59세<NA>개인용무/집안일(병원,은행,관공서,종교,봉사활동등)주1~2회<NA><NA>보통무직/기타2009
117201171815-814<NA><NA>여자<NA><NA>30~39세<NA>물건을사려고월1~2회<NA><NA>약간만족전문/자유직2009
유동인구_속성조사_2009Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15
132841328217-5001<NA><NA>남자<NA><NA>20~29세<NA>출근주1~2회<NA><NA>매우만족사무/기술직2009
4544454205-435<NA><NA>여자<NA><NA>20~29세<NA>귀가/퇴근/하교주3~5회<NA><NA>매우만족판매/서비스직2009
178801787823-641<NA><NA>남자<NA><NA>20~29세<NA>귀가/퇴근/하교주3~5회<NA><NA>약간만족사무/기술직2009
8900889811-3186<NA><NA>여자<NA><NA>40~49세<NA>개인용무/집안일(병원,은행,관공서,종교,봉사활동등)월1~2회<NA><NA>보통(전업)주부2009
2727272502-849<NA><NA>여자<NA><NA>20~29세<NA>누군가를데리러(또는 데려다 주러)월1~2회<NA><NA>매우만족(대)학생2009
9483948112-2069<NA><NA>남자<NA><NA>60세이상<NA>개인용무/집안일(병원,은행,관공서,종교,봉사활동등)매일<NA><NA>매우불만족일용/작업직2009
101521015013-817<NA><NA>남자<NA><NA>40~49세<NA>그냥걸으려고(운동,산책,기분전환등)매일<NA><NA>매우만족생산/운수직2009
3669366704-2005<NA><NA>남자<NA><NA>20~29세<NA>여가/오락/친교/모임/식사(회식,음료포함)매일<NA><NA>약간만족(대)학생2009
5776577407-1176<NA><NA>여자<NA><NA>20~29세<NA>학업관련(학원/도서관)매일<NA><NA>보통(대)학생2009
195701956825-2049<NA><NA>여자<NA><NA>50~59세<NA>귀가/퇴근/하교매일<NA><NA>약간만족판매/서비스직2009