Overview

Dataset statistics

Number of variables9
Number of observations30
Missing cells30
Missing cells (%)11.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory78.4 B

Variable types

Numeric1
Unsupported1
Text2
Categorical5

Dataset

Description샘플 데이터
Author경기도일자리재단
URLhttps://www.bigdata-region.kr/#/dataset/6bdc2b8a-1c8e-4d7f-8283-dce654568303

Alerts

활동일시 has constant value ""Constant
등록일시 has constant value ""Constant
수정일시 has constant value ""Constant
데이터기준일자 has constant value ""Constant
활동SNS구분명 is highly imbalanced (64.7%)Imbalance
활동IP has 30 (100.0%) missing valuesMissing
이용자활동이력번호 has unique valuesUnique
활동IP is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 14:17:32.539700
Analysis finished2023-12-10 14:17:33.245675
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

이용자활동이력번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:17:33.330807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-10T23:17:33.530392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

활동IP
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

활동URL내용
Text

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:17:33.812750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length861
Median length147
Mean length100.03333
Min length35

Characters and Unicode

Total characters3001
Distinct characters66
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)46.7%

Sample

1st rowhttps://www.jobaba.net/thema/vocEduDtl.do?seq=69&currentPageNo=1&veCd1=02&veCd2=&searchText=&orderByType=01&mberSeq=20170923154330001&intrstType=&cntntsTypeCd=13&eduOrdtmTitle=&linkUrl=&recordCountPerPage=20&regUsr=&updUsr=
2nd rowhttps://www.jobaba.net/main/main.do
3rd rowhttps://www.jobaba.net/mber/myPage/rcmnInfo/list.do
4th rowhttps://www.jobaba.net/edutrn/list.do#page3_128349
5th rowhttps://www.jobaba.net/mber/myPage/rqtst/list.do
ValueCountFrequency (%)
https://www.jobaba.net/mber/mypage/rcmninfo/list.do 5
16.7%
http://adst.jobaba.net/cnts/edutrn/list.do 3
 
10.0%
https://www.jobaba.net/mber/mypage/rqtst/list.do 2
 
6.7%
https://www.jobaba.net/mber/mypage/cmmnmodul/recptlist.do 2
 
6.7%
https://www.jobaba.net/main/main.do 2
 
6.7%
https://www.jobaba.net/edutrn/127073 2
 
6.7%
https://www.jobaba.net/mber/mypage/youth/rqview.do?evtifosn=1&product=2&periodseq=91&seq=null 1
 
3.3%
https://www.jobaba.net/thema/vocedudtl.do?seq=69&currentpageno=1&vecd1=02&vecd2=&searchtext=&orderbytype=01&mberseq=20170923154330001&intrsttype=&cntntstypecd=13&eduordtmtitle=&linkurl=&recordcountperpage=20&regusr=&updusr 1
 
3.3%
https://www.jobaba.net/thema/custompolicylist.do 1
 
3.3%
https://www.jobaba.net/youngmall/youngmall.do 1
 
3.3%
Other values (10) 10
33.3%
2023-12-10T23:17:34.296065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 214
 
7.1%
t 205
 
6.8%
e 166
 
5.5%
p 147
 
4.9%
/ 145
 
4.8%
m 145
 
4.8%
r 134
 
4.5%
s 123
 
4.1%
n 103
 
3.4%
d 97
 
3.2%
Other values (56) 1522
50.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2028
67.6%
Other Punctuation 497
 
16.6%
Uppercase Letter 241
 
8.0%
Decimal Number 126
 
4.2%
Math Symbol 93
 
3.1%
Connector Punctuation 16
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 214
 
10.6%
t 205
 
10.1%
e 166
 
8.2%
p 147
 
7.2%
m 145
 
7.1%
r 134
 
6.6%
s 123
 
6.1%
n 103
 
5.1%
d 97
 
4.8%
o 95
 
4.7%
Other values (16) 599
29.5%
Uppercase Letter
ValueCountFrequency (%)
C 39
16.2%
P 28
11.6%
B 26
10.8%
E 25
10.4%
T 21
8.7%
D 17
7.1%
S 15
 
6.2%
A 11
 
4.6%
L 9
 
3.7%
I 9
 
3.7%
Other values (9) 41
17.0%
Decimal Number
ValueCountFrequency (%)
2 23
18.3%
0 21
16.7%
1 20
15.9%
8 18
14.3%
3 12
9.5%
9 9
 
7.1%
4 8
 
6.3%
7 7
 
5.6%
5 7
 
5.6%
6 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
/ 145
29.2%
. 93
18.7%
; 85
17.1%
& 84
16.9%
% 50
 
10.1%
: 30
 
6.0%
? 9
 
1.8%
# 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
= 92
98.9%
+ 1
 
1.1%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2269
75.6%
Common 732
 
24.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 214
 
9.4%
t 205
 
9.0%
e 166
 
7.3%
p 147
 
6.5%
m 145
 
6.4%
r 134
 
5.9%
s 123
 
5.4%
n 103
 
4.5%
d 97
 
4.3%
o 95
 
4.2%
Other values (35) 840
37.0%
Common
ValueCountFrequency (%)
/ 145
19.8%
. 93
12.7%
= 92
12.6%
; 85
11.6%
& 84
11.5%
% 50
 
6.8%
: 30
 
4.1%
2 23
 
3.1%
0 21
 
2.9%
1 20
 
2.7%
Other values (11) 89
12.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3001
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 214
 
7.1%
t 205
 
6.8%
e 166
 
5.5%
p 147
 
4.9%
/ 145
 
4.8%
m 145
 
4.8%
r 134
 
4.5%
s 123
 
4.1%
n 103
 
3.4%
d 97
 
3.2%
Other values (56) 1522
50.7%

활동일시
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2019-08-12 12:54
30 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-08-12 12:54
2nd row2019-08-12 12:54
3rd row2019-08-12 12:54
4th row2019-08-12 12:54
5th row2019-08-12 12:54

Common Values

ValueCountFrequency (%)
2019-08-12 12:54 30
100.0%

Length

2023-12-10T23:17:34.464472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:17:34.616969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-08-12 30
50.0%
12:54 30
50.0%

활동SNS구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
기타
28 
Naver
 
2

Length

Max length5
Median length2
Mean length2.2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 28
93.3%
Naver 2
 
6.7%

Length

2023-12-10T23:17:34.756099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:17:34.896313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 28
93.3%
naver 2
 
6.7%

등록일시
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2019-08-12 12:54
30 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-08-12 12:54
2nd row2019-08-12 12:54
3rd row2019-08-12 12:54
4th row2019-08-12 12:54
5th row2019-08-12 12:54

Common Values

ValueCountFrequency (%)
2019-08-12 12:54 30
100.0%

Length

2023-12-10T23:17:35.042291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:17:35.188253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-08-12 30
50.0%
12:54 30
50.0%

수정일시
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2019-08-12 12:54
30 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-08-12 12:54
2nd row2019-08-12 12:54
3rd row2019-08-12 12:54
4th row2019-08-12 12:54
5th row2019-08-12 12:54

Common Values

ValueCountFrequency (%)
2019-08-12 12:54 30
100.0%

Length

2023-12-10T23:17:35.324196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:17:35.487127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-08-12 30
50.0%
12:54 30
50.0%

활동컨텐츠URL내용
Text

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:17:35.718497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length861
Median length142.5
Mean length107.73333
Min length36

Characters and Unicode

Total characters3232
Distinct characters71
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)53.3%

Sample

1st rowhttps://www.jobaba.net/thema/vocEduDtl.do?seq=69&currentPageNo=1&veCd1=02&veCd2=&searchText=&orderByType=01&mberSeq=20170923154330001&intrstType=&cntntsTypeCd=13&eduOrdtmTitle=&linkUrl=&recordCountPerPage=20&regUsr=&updUsr=
2nd rowhttps://www.jobaba.net/sprtPlcy/info/list.do
3rd rowhttps://www.jobaba.net/mber/login/login.do?rtnPath=L21iZXIvbXlQYWdlL3JjbW5JbmZvL2xpc3QuZG8%253D
4th rowhttps://www.jobaba.net/edutrn/list.do
5th rowhttps://www.jobaba.net/mber/login/login.do?rtnPath=L21iZXIvbXlQYWdlL3lvdXRoL3ZpZXcuZG8%252FZXZ0aWZvU249MSZwcm9kdWN0PTI%253D
ValueCountFrequency (%)
https://www.jobaba.net/youngmall/youngmall.do 4
 
13.3%
https://www.jobaba.net/mber/login/login.do?rtnpath=l21izxivbxlqywdll2ntbw5nb2r1bc9yzwnwdexpc3quzg8%253d 3
 
10.0%
https://www.jobaba.net/edutrn/dtl.do 3
 
10.0%
https://www.jobaba.net/mber/login/login.do?rtnpath=l21izxivbxlqywdll3jjbw5jbmzvl2xpc3quzg8%253d 2
 
6.7%
https://www.jobaba.net/edutrn/127073 2
 
6.7%
https://www.jobaba.net/edutrn/dtl.do?seq=129013&recordcountperpage=18&orderbytype=desc&orderbykey=&schtag=&schtype=&schtxt=&schcl1cd=&schcl2cd=&srchnewpurpscd=&srchnewstlecd=&srchdtlyn=&srchlegalcd=&srchlfccd=&srchspclztrgetcd=&srchedupdcd=&srchoperstat=&srchorpnstimecd=&srchtrnctcd=&srchrqtmthcd=&srchepmtstatcd=&srchnewpurpscd_=&srchnewstlecd_=&srchlegalcd_=&srchlfccd_=&srchspclztrgetcd_=&srchedupdcd_=&srchoperstat_=&srchorpnstimecd_=&srchtrnctcd_=&srchrqtmthcd_=&srchepmtstatcd_=&schtxt_=&rqting=&eduing=&rqtexprc=&searchkind=01&startdatevalue=&enddatevalue=&startday=&endday=&searchday=&searchdatevalue=&cnttype=&recordcountperpage=18&regusr=&updusr=&currentpageno=2 1
 
3.3%
https://www.jobaba.net/thema/vocedudtl.do?seq=69&currentpageno=1&vecd1=02&vecd2=&searchtext=&orderbytype=01&mberseq=20170923154330001&intrsttype=&cntntstypecd=13&eduordtmtitle=&linkurl=&recordcountperpage=20&regusr=&updusr 1
 
3.3%
https://www.jobaba.net/sprtplcy/info/view.do?seq=5127 1
 
3.3%
https://www.jobaba.net/mber/login/login.do 1
 
3.3%
https://www.jobaba.net/fntn/dtl.do?seq=8839 1
 
3.3%
Other values (11) 11
36.7%
2023-12-10T23:17:36.185981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 195
 
6.0%
a 185
 
5.7%
p 135
 
4.2%
e 135
 
4.2%
/ 134
 
4.1%
d 115
 
3.6%
n 115
 
3.6%
o 111
 
3.4%
r 109
 
3.4%
b 106
 
3.3%
Other values (61) 1892
58.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2038
63.1%
Uppercase Letter 446
 
13.8%
Other Punctuation 419
 
13.0%
Decimal Number 232
 
7.2%
Math Symbol 83
 
2.6%
Connector Punctuation 14
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 195
 
9.6%
a 185
 
9.1%
p 135
 
6.6%
e 135
 
6.6%
d 115
 
5.6%
n 115
 
5.6%
o 111
 
5.4%
r 109
 
5.3%
b 106
 
5.2%
w 103
 
5.1%
Other values (16) 729
35.8%
Uppercase Letter
ValueCountFrequency (%)
Z 42
 
9.4%
C 39
 
8.7%
L 31
 
7.0%
W 30
 
6.7%
P 30
 
6.7%
X 28
 
6.3%
N 27
 
6.1%
T 22
 
4.9%
D 21
 
4.7%
Q 20
 
4.5%
Other values (15) 156
35.0%
Decimal Number
ValueCountFrequency (%)
2 63
27.2%
3 39
16.8%
1 33
14.2%
5 27
11.6%
0 21
 
9.1%
9 16
 
6.9%
8 15
 
6.5%
7 10
 
4.3%
4 6
 
2.6%
6 2
 
0.9%
Other Punctuation
ValueCountFrequency (%)
/ 134
32.0%
. 88
21.0%
; 68
16.2%
& 67
16.0%
: 30
 
7.2%
? 17
 
4.1%
% 14
 
3.3%
# 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
= 83
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2484
76.9%
Common 748
 
23.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 195
 
7.9%
a 185
 
7.4%
p 135
 
5.4%
e 135
 
5.4%
d 115
 
4.6%
n 115
 
4.6%
o 111
 
4.5%
r 109
 
4.4%
b 106
 
4.3%
w 103
 
4.1%
Other values (41) 1175
47.3%
Common
ValueCountFrequency (%)
/ 134
17.9%
. 88
11.8%
= 83
11.1%
; 68
9.1%
& 67
9.0%
2 63
8.4%
3 39
 
5.2%
1 33
 
4.4%
: 30
 
4.0%
5 27
 
3.6%
Other values (10) 116
15.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 195
 
6.0%
a 185
 
5.7%
p 135
 
4.2%
e 135
 
4.2%
/ 134
 
4.1%
d 115
 
3.6%
n 115
 
3.6%
o 111
 
3.4%
r 109
 
3.4%
b 106
 
3.3%
Other values (61) 1892
58.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2019-08-12
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-08-12
2nd row2019-08-12
3rd row2019-08-12
4th row2019-08-12
5th row2019-08-12

Common Values

ValueCountFrequency (%)
2019-08-12 30
100.0%

Length

2023-12-10T23:17:36.395090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:17:36.534340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-08-12 30
100.0%

Interactions

2023-12-10T23:17:32.818314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:17:36.639502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자활동이력번호활동URL내용활동SNS구분명활동컨텐츠URL내용
이용자활동이력번호1.0000.0000.0000.000
활동URL내용0.0001.0001.0000.964
활동SNS구분명0.0001.0001.0000.000
활동컨텐츠URL내용0.0000.9640.0001.000
2023-12-10T23:17:36.776407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용자활동이력번호활동SNS구분명
이용자활동이력번호1.0000.000
활동SNS구분명0.0001.000

Missing values

2023-12-10T23:17:32.979531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:17:33.170668image/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.

Sample

이용자활동이력번호활동IP활동URL내용활동일시활동SNS구분명등록일시수정일시활동컨텐츠URL내용데이터기준일자
01<NA>https://www.jobaba.net/thema/vocEduDtl.do?seq=69&amp;currentPageNo=1&amp;veCd1=02&amp;veCd2=&amp;searchText=&amp;orderByType=01&amp;mberSeq=20170923154330001&amp;intrstType=&amp;cntntsTypeCd=13&amp;eduOrdtmTitle=&amp;linkUrl=&amp;recordCountPerPage=20&amp;regUsr=&amp;updUsr=2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/thema/vocEduDtl.do?seq=69&amp;currentPageNo=1&amp;veCd1=02&amp;veCd2=&amp;searchText=&amp;orderByType=01&amp;mberSeq=20170923154330001&amp;intrstType=&amp;cntntsTypeCd=13&amp;eduOrdtmTitle=&amp;linkUrl=&amp;recordCountPerPage=20&amp;regUsr=&amp;updUsr=2019-08-12
12<NA>https://www.jobaba.net/main/main.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/sprtPlcy/info/list.do2019-08-12
23<NA>https://www.jobaba.net/mber/myPage/rcmnInfo/list.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/mber/login/login.do?rtnPath=L21iZXIvbXlQYWdlL3JjbW5JbmZvL2xpc3QuZG8%253D2019-08-12
34<NA>https://www.jobaba.net/edutrn/list.do&amp;#35;page3_1283492019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/edutrn/list.do2019-08-12
45<NA>https://www.jobaba.net/mber/myPage/rqtst/list.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/mber/login/login.do?rtnPath=L21iZXIvbXlQYWdlL3lvdXRoL3ZpZXcuZG8%252FZXZ0aWZvU249MSZwcm9kdWN0PTI%253D2019-08-12
56<NA>https://www.jobaba.net/mber/myPage/rcmnInfo/list.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/mber/login/login.do?rtnPath=L21iZXIvbXlQYWdlL2lucXVpcnkvaW5xdWlyeUxpc3QuZG8%253D2019-08-12
67<NA>https://www.jobaba.net/mber/myPage/rcmnInfo/list.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/mber/login/login.do?rtnPath=L21iZXIvbXlQYWdlL3JjbW5JbmZvL2xpc3QuZG8%253D2019-08-12
78<NA>https://www.jobaba.net/mber/myPage/cmmnModul/recptList.do?currentPageNo=1&amp;srchStartDate=&amp;srchEndDate=&amp;srchTempYn=&amp;srchVeryfyStatusCd=&amp;srchBsnsTitle=%EC%B2%AD%EB%85%842019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/mber/login/login.do?rtnPath=L21iZXIvbXlQYWdlL2NtbW5Nb2R1bC9yZWNwdExpc3QuZG8%252FY3VycmVudFBhZ2VObz0xJnNyY2hTdGFydERhdGU9JnNyY2hFbmREYXRlPSZzcmNoVGVtcFluPSZzcmNoVmVyeWZ5U3RhdHVzQ2Q9JnNyY2hCc25zVGl0bGU97LKt64WE2019-08-12
89<NA>https://www.jobaba.net/mber/myPage/cmmnModul/recptList.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/mber/login/login.do?rtnPath=L21iZXIvbXlQYWdlL2NtbW5Nb2R1bC9yZWNwdExpc3QuZG8%253D2019-08-12
910<NA>https://www.jobaba.net/mber/myPage/cmmnModul/recptList.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/mber/login/login.do?rtnPath=L21iZXIvbXlQYWdlL2NtbW5Nb2R1bC9yZWNwdExpc3QuZG8%253D2019-08-12
이용자활동이력번호활동IP활동URL내용활동일시활동SNS구분명등록일시수정일시활동컨텐츠URL내용데이터기준일자
2021<NA>https://www.jobaba.net/mber/myPage/rcmnInfo/list.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/mber/login/login.do?rtnPath=L21iZXIvbXlQYWdlL2NtbW5Nb2R1bC9yZWNwdExpc3QuZG8%253D2019-08-12
2122<NA>https://www.jobaba.net/mber/myPage/rqtst/list.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/mber/login/login.do?rtnPath=L21iZXIvbXlQYWdlL3lvdXRoL3ZpZXcuZG8%252FZXZ0aWZvU249MiZwcm9kdWN0PTI%253D2019-08-12
2223<NA>https://www.jobaba.net/edutrn/1270732019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/edutrn/1270732019-08-12
2324<NA>https://www.jobaba.net/thema/exprcDtl.do?currentPageNo=3&amp;firstRecordIndex=8&amp;seq=772&amp;viewType=&amp;cntntsSeCd=02&amp;tabId=cate_living&amp;pageType=dtl2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/thema/exprcDtl.do?currentPageNo=3&amp;firstRecordIndex=8&amp;seq=772&amp;viewType=&amp;cntntsSeCd=02&amp;tabId=cate_living&amp;pageType=dtl2019-08-12
2425<NA>https://www.jobaba.net/edutrn/1270732019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/edutrn/1270732019-08-12
2526<NA>https://www.jobaba.net/mber/login/nonLogin.do?tp=w&amp;rtnPath=%252Fmain%252Fmain.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/mber/login/login.do?rtnPath=L21haW4vbWFpbi5kbw%253D%253D2019-08-12
2627<NA>https://www.jobaba.net/main/main.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/youngMall/youngMall.do2019-08-12
2728<NA>https://www.jobaba.net/fntn/dtl.do?seq=88392019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/fntn/dtl.do?seq=88392019-08-12
2829<NA>https://www.jobaba.net/youngMall/youngMall.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/mber/login/login.do2019-08-12
2930<NA>https://www.jobaba.net/edutrn/list.do2019-08-12 12:54기타2019-08-12 12:542019-08-12 12:54https://www.jobaba.net/edutrn/list.do&amp;#35;page2_1290132019-08-12