Overview

Dataset statistics

Number of variables60
Number of observations10000
Missing cells448432
Missing cells (%)74.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 MiB
Average record size in memory525.0 B

Variable types

Numeric9
Unsupported20
Text7
Categorical9
DateTime10
Boolean5

Dataset

Description산림복지전문업 지원 시스템에서 추출한 산림복지 전문가 회원정보에 관련한 정보입니다.
Author한국산림복지진흥원
URLhttps://www.data.go.kr/data/15089999/fileData.do

Alerts

직급우선순위(CLPST_PRRT) is highly imbalanced (98.3%)Imbalance
직급유형코드(CLPST_TPE_CD) is highly imbalanced (98.2%)Imbalance
유효여부(VLDTY_YN) is highly imbalanced (60.9%)Imbalance
인증유형코드(CRTFC_TPE_CD) is highly imbalanced (98.9%)Imbalance
인증기관코드(CRTFC_INSTT_CD) is highly imbalanced (98.9%)Imbalance
주소구분코드(ADDR_TPCD) is highly imbalanced (95.0%)Imbalance
유효여부(VLDTY_YN).1 is highly imbalanced (56.6%)Imbalance
회원구분_U01(USER_TP_CD) is highly imbalanced (98.9%)Imbalance
이메일수신여부(EMAIL_RCV_YN) is highly imbalanced (63.6%)Imbalance
탈퇴여부(OUT_YN) is highly imbalanced (95.0%)Imbalance
상위부서ID(UPPER_DPRTM_ID) is highly imbalanced (98.6%)Imbalance
주소구분코드(ADDR_TPCD).1 is highly imbalanced (96.0%)Imbalance
유효여부(VLDTY_YN).2 is highly imbalanced (55.4%)Imbalance
휴양림권역코드(RCRFR_DSTRC_CD) is highly imbalanced (99.2%)Imbalance
순번() has 9974 (99.7%) missing valuesMissing
컬럼(한글)(컬럼(영문)) has 10000 (100.0%) missing valuesMissing
직급ID(CLPST_ID) has 9974 (99.7%) missing valuesMissing
직급명(CLPST_NM) has 9974 (99.7%) missing valuesMissing
직급설명(CLPST_DSCRT) has 9992 (99.9%) missing valuesMissing
휴양림직책코드(RCRFR_RSOFF_CD) has 9977 (99.8%) missing valuesMissing
등록일시(RGSTN_DTM) has 9974 (99.7%) missing valuesMissing
최종수정일시(LAST_UPDT_DTM) has 9998 (> 99.9%) missing valuesMissing
유효여부(VLDTY_YN) has 9974 (99.7%) missing valuesMissing
순번().1 has 9944 (99.4%) missing valuesMissing
컬럼(한글)(컬럼(영문)).1 has 10000 (100.0%) missing valuesMissing
중복확인코드(DPLCT_CONF_CD) has 10000 (100.0%) missing valuesMissing
직원생년월일(EMP_BRTHD) has 10000 (100.0%) missing valuesMissing
성별구분코드(SXDST_TPCD) has 10000 (100.0%) missing valuesMissing
도로코드(ROAD_CD) has 10000 (100.0%) missing valuesMissing
전화번호지역코드(TLNO_ARCD) has 10000 (100.0%) missing valuesMissing
최종로그인일시(LAST_LOGIN_DTM) has 9944 (99.4%) missing valuesMissing
등록일시(RGSTN_DTM).1 has 9944 (99.4%) missing valuesMissing
최종수정일시(LAST_UPDT_DTM).1 has 9982 (99.8%) missing valuesMissing
유효여부(VLDTY_YN).1 has 9944 (99.4%) missing valuesMissing
컬럼(한글)(컬럼(영문)).2 has 10000 (100.0%) missing valuesMissing
직업_J01(JOB) has 9563 (95.6%) missing valuesMissing
관심분야(FVRT_CONT) has 9629 (96.3%) missing valuesMissing
순번().3 has 9957 (99.6%) missing valuesMissing
컬럼(한글)(컬럼(영문)).3 has 10000 (100.0%) missing valuesMissing
부서ID(DPRTM_ID) has 9957 (99.6%) missing valuesMissing
부서명(DPRTM_NM) has 9957 (99.6%) missing valuesMissing
부서설명(DPRTM_DSCRT) has 9957 (99.6%) missing valuesMissing
부서정렬순서(DPRTM_SRTNG_ORDR) has 9957 (99.6%) missing valuesMissing
부서유형코드(DPRTM_TPE_CD) has 9957 (99.6%) missing valuesMissing
부서URL(DPRTM_URL) has 10000 (100.0%) missing valuesMissing
부서전화번호(DPRTM_TLNO) has 9990 (99.9%) missing valuesMissing
부서팩스번호(DPRTM_FXNO) has 10000 (100.0%) missing valuesMissing
수신이메일(RCPTN_EMAIL) has 10000 (100.0%) missing valuesMissing
지번우편번호(LTNO_ZIPCD) has 10000 (100.0%) missing valuesMissing
지번주소(LTNO_ADDR) has 10000 (100.0%) missing valuesMissing
지번상세주소(LTNO_DTADD) has 10000 (100.0%) missing valuesMissing
도로코드(ROAD_CD).1 has 10000 (100.0%) missing valuesMissing
도로건물번호본번(ROAD_BLNO_ORN) has 10000 (100.0%) missing valuesMissing
도로건물번호부번(ROAD_BLNO_VCN) has 10000 (100.0%) missing valuesMissing
도로주소(ROAD_ADDR) has 10000 (100.0%) missing valuesMissing
도로상세주소(ROAD_DTADD) has 10000 (100.0%) missing valuesMissing
등록일시(RGSTN_DTM).2 has 9957 (99.6%) missing valuesMissing
최종수정일시(LAST_UPDT_DTM).2 has 9991 (99.9%) missing valuesMissing
유효여부(VLDTY_YN).2 has 9957 (99.6%) missing valuesMissing
순번().2 has unique valuesUnique
컬럼(한글)(컬럼(영문)) is an unsupported type, check if it needs cleaning or further analysisUnsupported
컬럼(한글)(컬럼(영문)).1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
중복확인코드(DPLCT_CONF_CD) is an unsupported type, check if it needs cleaning or further analysisUnsupported
직원생년월일(EMP_BRTHD) is an unsupported type, check if it needs cleaning or further analysisUnsupported
성별구분코드(SXDST_TPCD) is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로코드(ROAD_CD) is an unsupported type, check if it needs cleaning or further analysisUnsupported
전화번호지역코드(TLNO_ARCD) is an unsupported type, check if it needs cleaning or further analysisUnsupported
컬럼(한글)(컬럼(영문)).2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
컬럼(한글)(컬럼(영문)).3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부서URL(DPRTM_URL) is an unsupported type, check if it needs cleaning or further analysisUnsupported
부서팩스번호(DPRTM_FXNO) is an unsupported type, check if it needs cleaning or further analysisUnsupported
수신이메일(RCPTN_EMAIL) is an unsupported type, check if it needs cleaning or further analysisUnsupported
지번우편번호(LTNO_ZIPCD) is an unsupported type, check if it needs cleaning or further analysisUnsupported
지번주소(LTNO_ADDR) is an unsupported type, check if it needs cleaning or further analysisUnsupported
지번상세주소(LTNO_DTADD) is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로코드(ROAD_CD).1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로건물번호본번(ROAD_BLNO_ORN) is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로건물번호부번(ROAD_BLNO_VCN) is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로주소(ROAD_ADDR) is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로상세주소(ROAD_DTADD) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 23:07:34.947315
Analysis finished2023-12-12 23:07:36.313351
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번()
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing9974
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean16.653846
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:07:36.401261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median16
Q325.5
95-th percentile31.75
Maximum33
Range32
Interquartile range (IQR)18.25

Descriptive statistics

Standard deviation10.388233
Coefficient of variation (CV)0.62377381
Kurtosis-1.351325
Mean16.653846
Median Absolute Deviation (MAD)9.5
Skewness0.073200595
Sum433
Variance107.91538
MonotonicityNot monotonic
2023-12-13T08:07:36.562934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
29 1
 
< 0.1%
21 1
 
< 0.1%
26 1
 
< 0.1%
2 1
 
< 0.1%
10 1
 
< 0.1%
32 1
 
< 0.1%
5 1
 
< 0.1%
19 1
 
< 0.1%
4 1
 
< 0.1%
30 1
 
< 0.1%
Other values (16) 16
 
0.2%
(Missing) 9974
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
33 1
< 0.1%
32 1
< 0.1%
31 1
< 0.1%
30 1
< 0.1%
29 1
< 0.1%
28 1
< 0.1%
26 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%
21 1
< 0.1%

컬럼(한글)(컬럼(영문))
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

직급ID(CLPST_ID)
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing9974
Missing (%)99.7%
Memory size156.2 KiB
2023-12-13T08:07:36.785555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length3.1153846
Min length2

Characters and Unicode

Total characters81
Distinct characters33
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row07
2nd row20
3rd row00
4th rowZONEADM
5th row16
ValueCountFrequency (%)
07 1
 
3.8%
20 1
 
3.8%
member 1
 
3.8%
drmnc 1
 
3.8%
10 1
 
3.8%
test 1
 
3.8%
04 1
 
3.8%
03 1
 
3.8%
02 1
 
3.8%
홍길동 1
 
3.8%
Other values (16) 16
61.5%
2023-12-13T08:07:37.169796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11
 
13.6%
1 8
 
9.9%
M 6
 
7.4%
D 5
 
6.2%
2 4
 
4.9%
E 4
 
4.9%
t 3
 
3.7%
N 3
 
3.7%
A 3
 
3.7%
m 2
 
2.5%
Other values (23) 32
39.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34
42.0%
Uppercase Letter 31
38.3%
Lowercase Letter 12
 
14.8%
Other Letter 3
 
3.7%
Connector Punctuation 1
 
1.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 6
19.4%
D 5
16.1%
E 4
12.9%
N 3
9.7%
A 3
9.7%
I 2
 
6.5%
R 2
 
6.5%
C 1
 
3.2%
L 1
 
3.2%
F 1
 
3.2%
Other values (3) 3
9.7%
Decimal Number
ValueCountFrequency (%)
0 11
32.4%
1 8
23.5%
2 4
 
11.8%
7 2
 
5.9%
5 2
 
5.9%
9 2
 
5.9%
6 2
 
5.9%
4 2
 
5.9%
3 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
t 3
25.0%
m 2
16.7%
e 2
16.7%
n 2
16.7%
s 1
 
8.3%
g 1
 
8.3%
i 1
 
8.3%
Other Letter
ValueCountFrequency (%)
홍 1
33.3%
동 1
33.3%
길 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 43
53.1%
Common 35
43.2%
Hangul 3
 
3.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 6
14.0%
D 5
11.6%
E 4
 
9.3%
t 3
 
7.0%
N 3
 
7.0%
A 3
 
7.0%
m 2
 
4.7%
I 2
 
4.7%
e 2
 
4.7%
n 2
 
4.7%
Other values (10) 11
25.6%
Common
ValueCountFrequency (%)
0 11
31.4%
1 8
22.9%
2 4
 
11.4%
7 2
 
5.7%
5 2
 
5.7%
9 2
 
5.7%
6 2
 
5.7%
4 2
 
5.7%
3 1
 
2.9%
_ 1
 
2.9%
Hangul
ValueCountFrequency (%)
홍 1
33.3%
동 1
33.3%
길 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78
96.3%
Hangul 3
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11
 
14.1%
1 8
 
10.3%
M 6
 
7.7%
D 5
 
6.4%
2 4
 
5.1%
E 4
 
5.1%
t 3
 
3.8%
N 3
 
3.8%
A 3
 
3.8%
m 2
 
2.6%
Other values (20) 29
37.2%
Hangul
ValueCountFrequency (%)
홍 1
33.3%
동 1
33.3%
길 1
33.3%

직급명(CLPST_NM)
Text

MISSING 

Distinct25
Distinct (%)96.2%
Missing9974
Missing (%)99.7%
Memory size156.2 KiB
2023-12-13T08:07:37.351871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.6153846
Min length2

Characters and Unicode

Total characters120
Distinct characters53
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row진흥경영주무
2nd row숲해설가
3rd row직책
4th row권역관리자
5th row문화홍보
ValueCountFrequency (%)
홍길동 2
 
7.7%
현장관리자 1
 
3.8%
진흥원팀원 1
 
3.8%
대국민정상회원 1
 
3.8%
대국민휴면회원 1
 
3.8%
진흥주무과원 1
 
3.8%
111 1
 
3.8%
행정지원과원 1
 
3.8%
관리소소장 1
 
3.8%
진흥원팀장 1
 
3.8%
Other values (15) 15
57.7%
2023-12-13T08:07:37.705872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 10
 
8.3%
흥 7
 
5.8%
진 7
 
5.8%
과 4
 
3.3%
무 4
 
3.3%
주 4
 
3.3%
정 4
 
3.3%
관 4
 
3.3%
리 4
 
3.3%
홍 3
 
2.5%
Other values (43) 69
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
97.5%
Decimal Number 3
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 10
 
8.5%
흥 7
 
6.0%
진 7
 
6.0%
과 4
 
3.4%
무 4
 
3.4%
주 4
 
3.4%
정 4
 
3.4%
관 4
 
3.4%
리 4
 
3.4%
홍 3
 
2.6%
Other values (42) 66
56.4%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
97.5%
Common 3
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 10
 
8.5%
흥 7
 
6.0%
진 7
 
6.0%
과 4
 
3.4%
무 4
 
3.4%
주 4
 
3.4%
정 4
 
3.4%
관 4
 
3.4%
리 4
 
3.4%
홍 3
 
2.6%
Other values (42) 66
56.4%
Common
ValueCountFrequency (%)
1 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
97.5%
ASCII 3
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 10
 
8.5%
흥 7
 
6.0%
진 7
 
6.0%
과 4
 
3.4%
무 4
 
3.4%
주 4
 
3.4%
정 4
 
3.4%
관 4
 
3.4%
리 4
 
3.4%
홍 3
 
2.6%
Other values (42) 66
56.4%
ASCII
ValueCountFrequency (%)
1 3
100.0%

직급설명(CLPST_DSCRT)
Text

MISSING 

Distinct7
Distinct (%)87.5%
Missing9992
Missing (%)99.9%
Memory size156.2 KiB
2023-12-13T08:07:37.861805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.75
Min length3

Characters and Unicode

Total characters54
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)75.0%

Sample

1st row진흥원 권역관리자
2nd row홍길동
3rd row진흥원 최고관리자
4th row현장관리자
5th row홍길동
ValueCountFrequency (%)
진흥원 4
33.3%
홍길동 2
16.7%
권역관리자 1
 
8.3%
최고관리자 1
 
8.3%
현장관리자 1
 
8.3%
111 1
 
8.3%
대국민휴면회원 1
 
8.3%
대국민정상회원 1
 
8.3%
2023-12-13T08:07:38.149502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 6
 
11.1%
진 4
 
7.4%
흥 4
 
7.4%
4
 
7.4%
관 3
 
5.6%
리 3
 
5.6%
1 3
 
5.6%
자 3
 
5.6%
민 2
 
3.7%
길 2
 
3.7%
Other values (15) 20
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
87.0%
Space Separator 4
 
7.4%
Decimal Number 3
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 6
 
12.8%
진 4
 
8.5%
흥 4
 
8.5%
관 3
 
6.4%
리 3
 
6.4%
자 3
 
6.4%
민 2
 
4.3%
길 2
 
4.3%
홍 2
 
4.3%
국 2
 
4.3%
Other values (13) 16
34.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47
87.0%
Common 7
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 6
 
12.8%
진 4
 
8.5%
흥 4
 
8.5%
관 3
 
6.4%
리 3
 
6.4%
자 3
 
6.4%
민 2
 
4.3%
길 2
 
4.3%
홍 2
 
4.3%
국 2
 
4.3%
Other values (13) 16
34.0%
Common
ValueCountFrequency (%)
4
57.1%
1 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47
87.0%
ASCII 7
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 6
 
12.8%
진 4
 
8.5%
흥 4
 
8.5%
관 3
 
6.4%
리 3
 
6.4%
자 3
 
6.4%
민 2
 
4.3%
길 2
 
4.3%
홍 2
 
4.3%
국 2
 
4.3%
Other values (13) 16
34.0%
ASCII
ValueCountFrequency (%)
4
57.1%
1 3
42.9%

직급우선순위(CLPST_PRRT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9974 
0
 
23
1
 
3

Length

Max length4
Median length4
Mean length3.9922
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9974
99.7%
0 23
 
0.2%
1 3
 
< 0.1%

Length

2023-12-13T08:07:38.287949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:38.401259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9974
99.7%
0 23
 
0.2%
1 3
 
< 0.1%

직급유형코드(CLPST_TPE_CD)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9974 
1
 
20
2
 
6

Length

Max length4
Median length4
Mean length3.9922
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9974
99.7%
1 20
 
0.2%
2 6
 
0.1%

Length

2023-12-13T08:07:38.503266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:38.604402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9974
99.7%
1 20
 
0.2%
2 6
 
0.1%

휴양림직책코드(RCRFR_RSOFF_CD)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)78.3%
Missing9977
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean31.043478
Minimum0
Maximum99
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:07:38.685802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.2
Q18
median15
Q325.5
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation37.23815
Coefficient of variation (CV)1.1995483
Kurtosis-0.0092519375
Mean31.043478
Median Absolute Deviation (MAD)8
Skewness1.3444144
Sum714
Variance1386.6798
MonotonicityNot monotonic
2023-12-13T08:07:38.787529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
99 5
 
0.1%
12 2
 
< 0.1%
30 1
 
< 0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
4 1
 
< 0.1%
2 1
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
7 1
 
< 0.1%
Other values (8) 8
 
0.1%
(Missing) 9977
99.8%
ValueCountFrequency (%)
0 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
12 2
< 0.1%
14 1
< 0.1%
ValueCountFrequency (%)
99 5
0.1%
30 1
 
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
17 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
12 2
 
< 0.1%

등록일시(RGSTN_DTM)
Date

MISSING 

Distinct6
Distinct (%)23.1%
Missing9974
Missing (%)99.7%
Memory size156.2 KiB
Minimum2000-01-01 00:00:00
Maximum2017-02-15 16:08:00
2023-12-13T08:07:38.883194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:39.009582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

최종수정일시(LAST_UPDT_DTM)
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2017-02-07 13:45:00
Maximum2017-02-21 21:50:00
2023-12-13T08:07:39.096201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:39.206732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

유효여부(VLDTY_YN)
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)7.7%
Missing9974
Missing (%)99.7%
Memory size97.7 KiB
True
 
24
False
 
2
(Missing)
9974 
ValueCountFrequency (%)
True 24
 
0.2%
False 2
 
< 0.1%
(Missing) 9974
99.7%
2023-12-13T08:07:39.287881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

순번().1
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)100.0%
Missing9944
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean38
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:07:39.393591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q118.5
median37
Q358.25
95-th percentile70.25
Maximum74
Range73
Interquartile range (IQR)39.75

Descriptive statistics

Standard deviation22.772392
Coefficient of variation (CV)0.59927346
Kurtosis-1.3487379
Mean38
Median Absolute Deviation (MAD)20.5
Skewness-0.066043211
Sum2128
Variance518.58182
MonotonicityNot monotonic
2023-12-13T08:07:39.789841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 1
 
< 0.1%
31 1
 
< 0.1%
28 1
 
< 0.1%
12 1
 
< 0.1%
29 1
 
< 0.1%
23 1
 
< 0.1%
43 1
 
< 0.1%
13 1
 
< 0.1%
40 1
 
< 0.1%
30 1
 
< 0.1%
Other values (46) 46
 
0.5%
(Missing) 9944
99.4%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
74 1
< 0.1%
72 1
< 0.1%
71 1
< 0.1%
70 1
< 0.1%
69 1
< 0.1%
68 1
< 0.1%
67 1
< 0.1%
66 1
< 0.1%
65 1
< 0.1%
64 1
< 0.1%

컬럼(한글)(컬럼(영문)).1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

인증유형코드(CRTFC_TPE_CD)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9990 
1
 
10

Length

Max length4
Median length4
Mean length3.997
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9990
99.9%
1 10
 
0.1%

Length

2023-12-13T08:07:39.937984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:40.031410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9990
99.9%
1 10
 
0.1%

인증기관코드(CRTFC_INSTT_CD)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9990 
1
 
10

Length

Max length4
Median length4
Mean length3.997
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9990
99.9%
1 10
 
0.1%

Length

2023-12-13T08:07:40.124284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:40.223614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9990
99.9%
1 10
 
0.1%

중복확인코드(DPLCT_CONF_CD)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

직원생년월일(EMP_BRTHD)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

성별구분코드(SXDST_TPCD)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

주소구분코드(ADDR_TPCD)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9944 
1
 
56

Length

Max length4
Median length4
Mean length3.9832
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9944
99.4%
1 56
 
0.6%

Length

2023-12-13T08:07:40.320346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:40.408892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9944
99.4%
1 56
 
0.6%

도로코드(ROAD_CD)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호지역코드(TLNO_ARCD)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

최종로그인일시(LAST_LOGIN_DTM)
Date

MISSING 

Distinct24
Distinct (%)42.9%
Missing9944
Missing (%)99.4%
Memory size156.2 KiB
Minimum2014-04-25 13:36:00
Maximum2021-09-02 15:02:00
2023-12-13T08:07:40.490783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:40.593984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

등록일시(RGSTN_DTM).1
Date

MISSING 

Distinct31
Distinct (%)55.4%
Missing9944
Missing (%)99.4%
Memory size156.2 KiB
Minimum2019-06-18 19:12:00
Maximum2021-09-02 15:02:00
2023-12-13T08:07:40.706530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:40.814417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

최종수정일시(LAST_UPDT_DTM).1
Date

MISSING 

Distinct15
Distinct (%)83.3%
Missing9982
Missing (%)99.8%
Memory size156.2 KiB
Minimum2020-06-05 10:05:00
Maximum2021-09-02 15:02:00
2023-12-13T08:07:40.915912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:41.023122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

유효여부(VLDTY_YN).1
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)3.6%
Missing9944
Missing (%)99.4%
Memory size97.7 KiB
True
 
51
False
 
5
(Missing)
9944 
ValueCountFrequency (%)
True 51
 
0.5%
False 5
 
0.1%
(Missing) 9944
99.4%
2023-12-13T08:07:41.130611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

순번().2
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6055.0933
Minimum1
Maximum12061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:07:41.263384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile612.95
Q13043.75
median6076.5
Q39057.25
95-th percentile11457.05
Maximum12061
Range12060
Interquartile range (IQR)6013.5

Descriptive statistics

Standard deviation3477.5348
Coefficient of variation (CV)0.57431565
Kurtosis-1.1976724
Mean6055.0933
Median Absolute Deviation (MAD)3006
Skewness-0.012515636
Sum60550933
Variance12093248
MonotonicityNot monotonic
2023-12-13T08:07:41.409019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10949 1
 
< 0.1%
3648 1
 
< 0.1%
8989 1
 
< 0.1%
1773 1
 
< 0.1%
9487 1
 
< 0.1%
5020 1
 
< 0.1%
10002 1
 
< 0.1%
3695 1
 
< 0.1%
2230 1
 
< 0.1%
7846 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
12061 1
< 0.1%
12060 1
< 0.1%
12059 1
< 0.1%
12058 1
< 0.1%
12057 1
< 0.1%
12056 1
< 0.1%
12055 1
< 0.1%
12053 1
< 0.1%
12049 1
< 0.1%
12048 1
< 0.1%

컬럼(한글)(컬럼(영문)).2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

회원구분_U01(USER_TP_CD)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9990 
100
 
10

Length

Max length3
Median length1
Mean length1.002
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 9990
99.9%
100 10
 
0.1%

Length

2023-12-13T08:07:41.554372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:41.675994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9990
99.9%
100 10
 
0.1%

직업_J01(JOB)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)4.6%
Missing9563
Missing (%)95.6%
Infinite0
Infinite (%)0.0%
Mean17.691076
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:07:41.765811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q111
median15
Q331
95-th percentile31
Maximum31
Range30
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.183549
Coefficient of variation (CV)0.63215769
Kurtosis-1.4608547
Mean17.691076
Median Absolute Deviation (MAD)13
Skewness0.017599577
Sum7731
Variance125.07178
MonotonicityNot monotonic
2023-12-13T08:07:41.903494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
31 159
 
1.6%
2 64
 
0.6%
12 60
 
0.6%
15 59
 
0.6%
11 35
 
0.4%
1 14
 
0.1%
22 7
 
0.1%
13 7
 
0.1%
5 7
 
0.1%
21 5
 
0.1%
Other values (10) 20
 
0.2%
(Missing) 9563
95.6%
ValueCountFrequency (%)
1 14
 
0.1%
2 64
0.6%
3 3
 
< 0.1%
5 7
 
0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
11 35
0.4%
12 60
0.6%
13 7
 
0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
31 159
1.6%
26 1
 
< 0.1%
23 1
 
< 0.1%
22 7
 
0.1%
21 5
 
0.1%
20 4
 
< 0.1%
19 1
 
< 0.1%
18 4
 
< 0.1%
17 1
 
< 0.1%
15 59
 
0.6%

이메일수신여부(EMAIL_RCV_YN)
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9306 
False
 
694
ValueCountFrequency (%)
True 9306
93.1%
False 694
 
6.9%
2023-12-13T08:07:42.003651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관심분야(FVRT_CONT)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)3.5%
Missing9629
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean9.9919137
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:07:42.080482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median12
Q312
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.7463408
Coefficient of variation (CV)0.37493727
Kurtosis0.011000942
Mean9.9919137
Median Absolute Deviation (MAD)1
Skewness-1.0680754
Sum3707
Variance14.03507
MonotonicityNot monotonic
2023-12-13T08:07:42.198378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
12 135
 
1.4%
14 45
 
0.4%
13 37
 
0.4%
5 33
 
0.3%
8 27
 
0.3%
1 23
 
0.2%
10 19
 
0.2%
7 19
 
0.2%
11 15
 
0.1%
3 10
 
0.1%
Other values (3) 8
 
0.1%
(Missing) 9629
96.3%
ValueCountFrequency (%)
1 23
0.2%
3 10
 
0.1%
4 3
 
< 0.1%
5 33
0.3%
6 1
 
< 0.1%
7 19
0.2%
8 27
0.3%
9 4
 
< 0.1%
10 19
0.2%
11 15
0.1%
ValueCountFrequency (%)
14 45
 
0.4%
13 37
 
0.4%
12 135
1.4%
11 15
 
0.1%
10 19
 
0.2%
9 4
 
< 0.1%
8 27
 
0.3%
7 19
 
0.2%
6 1
 
< 0.1%
5 33
 
0.3%

탈퇴여부(OUT_YN)
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9944 
True
 
56
ValueCountFrequency (%)
False 9944
99.4%
True 56
 
0.6%
2023-12-13T08:07:42.295994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

최근접속일시(LAST_LOG_IN)
Date

Distinct9844
Distinct (%)98.5%
Missing8
Missing (%)0.1%
Memory size156.2 KiB
Minimum2016-11-30 00:43:00
Maximum2021-09-08 17:06:00
2023-12-13T08:07:42.386141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:42.509848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록일자(RGST_DT)
Date

Distinct9852
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-11-30 00:43:00
Maximum2021-09-08 17:06:00
2023-12-13T08:07:42.630190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:42.753964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일자(UPDT_DT)
Date

Distinct9883
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-11-30 09:10:00
Maximum2021-09-08 17:06:00
2023-12-13T08:07:42.874856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:43.004055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

순번().3
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)100.0%
Missing9957
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean29.232558
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:07:43.146170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q113.5
median29
Q346.5
95-th percentile56.9
Maximum59
Range58
Interquartile range (IQR)33

Descriptive statistics

Standard deviation18.306696
Coefficient of variation (CV)0.62624337
Kurtosis-1.27929
Mean29.232558
Median Absolute Deviation (MAD)17
Skewness0.092331192
Sum1257
Variance335.13511
MonotonicityNot monotonic
2023-12-13T08:07:43.269892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
8 1
 
< 0.1%
28 1
 
< 0.1%
12 1
 
< 0.1%
29 1
 
< 0.1%
23 1
 
< 0.1%
43 1
 
< 0.1%
13 1
 
< 0.1%
40 1
 
< 0.1%
30 1
 
< 0.1%
53 1
 
< 0.1%
Other values (33) 33
 
0.3%
(Missing) 9957
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
59 1
< 0.1%
58 1
< 0.1%
57 1
< 0.1%
56 1
< 0.1%
55 1
< 0.1%
53 1
< 0.1%
52 1
< 0.1%
51 1
< 0.1%
50 1
< 0.1%
48 1
< 0.1%

컬럼(한글)(컬럼(영문)).3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

부서ID(DPRTM_ID)
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing9957
Missing (%)99.6%
Memory size156.2 KiB
2023-12-13T08:07:43.464247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.3023256
Min length2

Characters and Unicode

Total characters228
Distinct characters35
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row2000005
2nd row3000007
3rd row0112
4th row0104
5th rowtest
ValueCountFrequency (%)
2000005 1
 
2.3%
dept4 1
 
2.3%
0103 1
 
2.3%
guest 1
 
2.3%
layoff 1
 
2.3%
admin 1
 
2.3%
2000008 1
 
2.3%
mmng 1
 
2.3%
1000000 1
 
2.3%
11 1
 
2.3%
Other values (33) 33
76.7%
2023-12-13T08:07:43.761626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 87
38.2%
1 27
 
11.8%
2 14
 
6.1%
9 9
 
3.9%
3 9
 
3.9%
t 8
 
3.5%
e 7
 
3.1%
d 6
 
2.6%
p 6
 
2.6%
M 5
 
2.2%
Other values (25) 50
21.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
70.2%
Uppercase Letter 36
 
15.8%
Lowercase Letter 32
 
14.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 5
13.9%
E 4
11.1%
A 4
11.1%
T 3
8.3%
N 3
8.3%
R 2
 
5.6%
F 2
 
5.6%
G 2
 
5.6%
P 2
 
5.6%
D 2
 
5.6%
Other values (7) 7
19.4%
Decimal Number
ValueCountFrequency (%)
0 87
54.4%
1 27
 
16.9%
2 14
 
8.8%
9 9
 
5.6%
3 9
 
5.6%
4 4
 
2.5%
6 3
 
1.9%
5 3
 
1.9%
7 2
 
1.2%
8 2
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
t 8
25.0%
e 7
21.9%
d 6
18.8%
p 6
18.8%
m 2
 
6.2%
g 1
 
3.1%
n 1
 
3.1%
s 1
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Common 160
70.2%
Latin 68
29.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 8
 
11.8%
e 7
 
10.3%
d 6
 
8.8%
p 6
 
8.8%
M 5
 
7.4%
E 4
 
5.9%
A 4
 
5.9%
T 3
 
4.4%
N 3
 
4.4%
R 2
 
2.9%
Other values (15) 20
29.4%
Common
ValueCountFrequency (%)
0 87
54.4%
1 27
 
16.9%
2 14
 
8.8%
9 9
 
5.6%
3 9
 
5.6%
4 4
 
2.5%
6 3
 
1.9%
5 3
 
1.9%
7 2
 
1.2%
8 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 87
38.2%
1 27
 
11.8%
2 14
 
6.1%
9 9
 
3.9%
3 9
 
3.9%
t 8
 
3.5%
e 7
 
3.1%
d 6
 
2.6%
p 6
 
2.6%
M 5
 
2.2%
Other values (25) 50
21.9%

부서명(DPRTM_NM)
Text

MISSING 

Distinct42
Distinct (%)97.7%
Missing9957
Missing (%)99.6%
Memory size156.2 KiB
2023-12-13T08:07:43.965196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.7674419
Min length2

Characters and Unicode

Total characters248
Distinct characters104
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st row성과
2nd row경북
3rd row국립나주숲체원
4th row국립산림치유원(문필)
5th rowtest
ValueCountFrequency (%)
11 2
 
4.7%
한국산림복지진흥원 1
 
2.3%
국립청도숲체원 1
 
2.3%
임시부서 1
 
2.3%
국립칠곡숲체원 1
 
2.3%
대국민탈퇴회원그룹 1
 
2.3%
직원휴직회원그룹 1
 
2.3%
직원최고관리자그룹 1
 
2.3%
홍보.마케팅 1
 
2.3%
식수조회 1
 
2.3%
Other values (32) 32
74.4%
2023-12-13T08:07:44.278551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 17
 
6.9%
국 12
 
4.8%
립 9
 
3.6%
숲 9
 
3.6%
산 7
 
2.8%
체 7
 
2.8%
림 6
 
2.4%
성 5
 
2.0%
치 5
 
2.0%
회 5
 
2.0%
Other values (94) 166
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
92.3%
Decimal Number 4
 
1.6%
Close Punctuation 4
 
1.6%
Open Punctuation 4
 
1.6%
Lowercase Letter 4
 
1.6%
Other Punctuation 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 17
 
7.4%
국 12
 
5.2%
립 9
 
3.9%
숲 9
 
3.9%
산 7
 
3.1%
체 7
 
3.1%
림 6
 
2.6%
성 5
 
2.2%
치 5
 
2.2%
회 5
 
2.2%
Other values (86) 147
64.2%
Lowercase Letter
ValueCountFrequency (%)
t 2
50.0%
e 1
25.0%
s 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
92.3%
Common 15
 
6.0%
Latin 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 17
 
7.4%
국 12
 
5.2%
립 9
 
3.9%
숲 9
 
3.9%
산 7
 
3.1%
체 7
 
3.1%
림 6
 
2.6%
성 5
 
2.2%
치 5
 
2.2%
회 5
 
2.2%
Other values (86) 147
64.2%
Common
ValueCountFrequency (%)
1 4
26.7%
) 4
26.7%
( 4
26.7%
. 2
13.3%
/ 1
 
6.7%
Latin
ValueCountFrequency (%)
t 2
50.0%
e 1
25.0%
s 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
92.3%
ASCII 19
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 17
 
7.4%
국 12
 
5.2%
립 9
 
3.9%
숲 9
 
3.9%
산 7
 
3.1%
체 7
 
3.1%
림 6
 
2.6%
성 5
 
2.2%
치 5
 
2.2%
회 5
 
2.2%
Other values (86) 147
64.2%
ASCII
ValueCountFrequency (%)
1 4
21.1%
) 4
21.1%
( 4
21.1%
. 2
10.5%
t 2
10.5%
e 1
 
5.3%
s 1
 
5.3%
/ 1
 
5.3%

부서설명(DPRTM_DSCRT)
Text

MISSING 

Distinct42
Distinct (%)97.7%
Missing9957
Missing (%)99.6%
Memory size156.2 KiB
2023-12-13T08:07:44.499933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length20
Mean length12.418605
Min length2

Characters and Unicode

Total characters534
Distinct characters110
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st row국립자연휴양림관리소 행정지원과 성과
2nd row국립자연휴양림관리소 강원경북권역
3rd row국립나주숲체원
4th row국립산림치유원(문필)
5th rowtesttesttesttesttesttesttesttesttest
ValueCountFrequency (%)
국립자연휴양림관리소 17
23.9%
행정지원과 4
 
5.6%
휴양경영과 3
 
4.2%
11 2
 
2.8%
임시부서 2
 
2.8%
한국산림복지진흥원 1
 
1.4%
대국민탈퇴회원그룹 1
 
1.4%
직원휴면회원그룹 1
 
1.4%
정보시스템 1
 
1.4%
최고관리자그룹 1
 
1.4%
Other values (38) 38
53.5%
2023-12-13T08:07:44.836534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 29
 
5.4%
28
 
5.2%
립 26
 
4.9%
휴 23
 
4.3%
림 23
 
4.3%
원 22
 
4.1%
양 22
 
4.1%
관 21
 
3.9%
리 20
 
3.7%
자 19
 
3.6%
Other values (100) 301
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 455
85.2%
Lowercase Letter 36
 
6.7%
Space Separator 28
 
5.2%
Decimal Number 4
 
0.7%
Open Punctuation 4
 
0.7%
Close Punctuation 4
 
0.7%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 29
 
6.4%
립 26
 
5.7%
휴 23
 
5.1%
림 23
 
5.1%
원 22
 
4.8%
양 22
 
4.8%
관 21
 
4.6%
리 20
 
4.4%
자 19
 
4.2%
연 17
 
3.7%
Other values (91) 233
51.2%
Lowercase Letter
ValueCountFrequency (%)
t 18
50.0%
e 9
25.0%
s 9
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Decimal Number
ValueCountFrequency (%)
1 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 455
85.2%
Common 43
 
8.1%
Latin 36
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 29
 
6.4%
립 26
 
5.7%
휴 23
 
5.1%
림 23
 
5.1%
원 22
 
4.8%
양 22
 
4.8%
관 21
 
4.6%
리 20
 
4.4%
자 19
 
4.2%
연 17
 
3.7%
Other values (91) 233
51.2%
Common
ValueCountFrequency (%)
28
65.1%
1 4
 
9.3%
( 4
 
9.3%
) 4
 
9.3%
. 2
 
4.7%
/ 1
 
2.3%
Latin
ValueCountFrequency (%)
t 18
50.0%
e 9
25.0%
s 9
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 455
85.2%
ASCII 79
 
14.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 29
 
6.4%
립 26
 
5.7%
휴 23
 
5.1%
림 23
 
5.1%
원 22
 
4.8%
양 22
 
4.8%
관 21
 
4.6%
리 20
 
4.4%
자 19
 
4.2%
연 17
 
3.7%
Other values (91) 233
51.2%
ASCII
ValueCountFrequency (%)
28
35.4%
t 18
22.8%
e 9
 
11.4%
s 9
 
11.4%
1 4
 
5.1%
( 4
 
5.1%
) 4
 
5.1%
. 2
 
2.5%
/ 1
 
1.3%

부서정렬순서(DPRTM_SRTNG_ORDR)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)46.5%
Missing9957
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean9.9767442
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:07:44.944374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q319
95-th percentile31.8
Maximum35
Range34
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.669024
Coefficient of variation (CV)1.1696224
Kurtosis-0.6128252
Mean9.9767442
Median Absolute Deviation (MAD)2
Skewness1.0092576
Sum429
Variance136.16611
MonotonicityNot monotonic
2023-12-13T08:07:45.050189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 14
 
0.1%
2 6
 
0.1%
27 3
 
< 0.1%
3 3
 
< 0.1%
7 2
 
< 0.1%
28 1
 
< 0.1%
11 1
 
< 0.1%
29 1
 
< 0.1%
32 1
 
< 0.1%
20 1
 
< 0.1%
Other values (10) 10
 
0.1%
(Missing) 9957
99.6%
ValueCountFrequency (%)
1 14
0.1%
2 6
0.1%
3 3
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
35 1
 
< 0.1%
34 1
 
< 0.1%
32 1
 
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%
28 1
 
< 0.1%
27 3
< 0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%
18 1
 
< 0.1%

상위부서ID(UPPER_DPRTM_ID)
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9957 
3000002
 
9
*
 
8
2000002
 
6
opengov
 
6
Other values (8)
 
14

Length

Max length7
Median length4
Mean length4.0075
Min length1

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9957
99.6%
3000002 9
 
0.1%
* 8
 
0.1%
2000002 6
 
0.1%
opengov 6
 
0.1%
2000001 3
 
< 0.1%
1000000 3
 
< 0.1%
MEMBERS 2
 
< 0.1%
TEMP 2
 
< 0.1%
2000006 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

Length

2023-12-13T08:07:45.167764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9957
99.6%
3000002 9
 
0.1%
8
 
0.1%
2000002 6
 
0.1%
opengov 6
 
0.1%
2000001 3
 
< 0.1%
1000000 3
 
< 0.1%
members 2
 
< 0.1%
temp 2
 
< 0.1%
2000006 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

부서유형코드(DPRTM_TPE_CD)
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)14.0%
Missing9957
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean6.5348837
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:07:45.308251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation20.697767
Coefficient of variation (CV)3.167274
Kurtosis18.658097
Mean6.5348837
Median Absolute Deviation (MAD)1
Skewness4.4400694
Sum281
Variance428.39756
MonotonicityNot monotonic
2023-12-13T08:07:45.716769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 21
 
0.2%
3 12
 
0.1%
2 4
 
< 0.1%
99 2
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
(Missing) 9957
99.6%
ValueCountFrequency (%)
1 21
0.2%
2 4
 
< 0.1%
3 12
0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
99 2
 
< 0.1%
ValueCountFrequency (%)
99 2
 
< 0.1%
5 2
 
< 0.1%
4 2
 
< 0.1%
3 12
0.1%
2 4
 
< 0.1%
1 21
0.2%

부서URL(DPRTM_URL)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

부서전화번호(DPRTM_TLNO)
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing9990
Missing (%)99.9%
Memory size156.2 KiB
2023-12-13T08:07:45.892424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.8
Min length10

Characters and Unicode

Total characters118
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

Unique10 ?
Unique (%)100.0%

Sample

1st row061-338-8400
2nd row054-639-3400
3rd row042-718-1501
4th row033-340-6316
5th row054-977-8773
ValueCountFrequency (%)
061-338-8400 1
10.0%
054-639-3400 1
10.0%
042-718-1501 1
10.0%
033-340-6316 1
10.0%
054-977-8773 1
10.0%
054-639-3422 1
10.0%
033-912-9000 1
10.0%
0421231234 1
10.0%
061-399-1800 1
10.0%
054-370-8500 1
10.0%
2023-12-13T08:07:46.224669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24
20.3%
- 18
15.3%
3 17
14.4%
4 11
9.3%
1 10
8.5%
9 7
 
5.9%
2 7
 
5.9%
6 6
 
5.1%
8 6
 
5.1%
5 6
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100
84.7%
Dash Punctuation 18
 
15.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
24.0%
3 17
17.0%
4 11
11.0%
1 10
10.0%
9 7
 
7.0%
2 7
 
7.0%
6 6
 
6.0%
8 6
 
6.0%
5 6
 
6.0%
7 6
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24
20.3%
- 18
15.3%
3 17
14.4%
4 11
9.3%
1 10
8.5%
9 7
 
5.9%
2 7
 
5.9%
6 6
 
5.1%
8 6
 
5.1%
5 6
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24
20.3%
- 18
15.3%
3 17
14.4%
4 11
9.3%
1 10
8.5%
9 7
 
5.9%
2 7
 
5.9%
6 6
 
5.1%
8 6
 
5.1%
5 6
 
5.1%

부서팩스번호(DPRTM_FXNO)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

수신이메일(RCPTN_EMAIL)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

주소구분코드(ADDR_TPCD).1
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9957 
1
 
43

Length

Max length4
Median length4
Mean length3.9871
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9957
99.6%
1 43
 
0.4%

Length

2023-12-13T08:07:46.386791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:46.508949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9957
99.6%
1 43
 
0.4%

지번우편번호(LTNO_ZIPCD)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지번주소(LTNO_ADDR)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지번상세주소(LTNO_DTADD)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

도로코드(ROAD_CD).1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

도로건물번호본번(ROAD_BLNO_ORN)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

도로건물번호부번(ROAD_BLNO_VCN)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

도로주소(ROAD_ADDR)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

도로상세주소(ROAD_DTADD)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

등록일시(RGSTN_DTM).2
Date

MISSING 

Distinct18
Distinct (%)41.9%
Missing9957
Missing (%)99.6%
Memory size156.2 KiB
Minimum2000-01-01 00:00:00
Maximum2020-11-10 22:13:00
2023-12-13T08:07:46.598960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:46.697227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

최종수정일시(LAST_UPDT_DTM).2
Date

MISSING 

Distinct6
Distinct (%)66.7%
Missing9991
Missing (%)99.9%
Memory size156.2 KiB
Minimum2012-11-08 10:30:00
Maximum2020-11-10 22:13:00
2023-12-13T08:07:46.813396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:07:46.906542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

유효여부(VLDTY_YN).2
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)4.7%
Missing9957
Missing (%)99.6%
Memory size97.7 KiB
True
 
39
False
 
4
(Missing)
9957 
ValueCountFrequency (%)
True 39
 
0.4%
False 4
 
< 0.1%
(Missing) 9957
99.6%
2023-12-13T08:07:47.018661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휴양림권역코드(RCRFR_DSTRC_CD)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9988 
10
 
6
20
 
4
30
 
2

Length

Max length4
Median length4
Mean length3.9976
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9988
99.9%
10 6
 
0.1%
20 4
 
< 0.1%
30 2
 
< 0.1%

Length

2023-12-13T08:07:47.117368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:07:47.211460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9988
99.9%
10 6
 
0.1%
20 4
 
< 0.1%
30 2
 
< 0.1%

Sample

순번()컬럼(한글)(컬럼(영문))직급ID(CLPST_ID)직급명(CLPST_NM)직급설명(CLPST_DSCRT)직급우선순위(CLPST_PRRT)직급유형코드(CLPST_TPE_CD)휴양림직책코드(RCRFR_RSOFF_CD)등록일시(RGSTN_DTM)최종수정일시(LAST_UPDT_DTM)유효여부(VLDTY_YN)순번().1컬럼(한글)(컬럼(영문)).1인증유형코드(CRTFC_TPE_CD)인증기관코드(CRTFC_INSTT_CD)중복확인코드(DPLCT_CONF_CD)직원생년월일(EMP_BRTHD)성별구분코드(SXDST_TPCD)주소구분코드(ADDR_TPCD)도로코드(ROAD_CD)전화번호지역코드(TLNO_ARCD)최종로그인일시(LAST_LOGIN_DTM)등록일시(RGSTN_DTM).1최종수정일시(LAST_UPDT_DTM).1유효여부(VLDTY_YN).1순번().2컬럼(한글)(컬럼(영문)).2회원구분_U01(USER_TP_CD)직업_J01(JOB)이메일수신여부(EMAIL_RCV_YN)관심분야(FVRT_CONT)탈퇴여부(OUT_YN)최근접속일시(LAST_LOG_IN)등록일자(RGST_DT)수정일자(UPDT_DT)순번().3컬럼(한글)(컬럼(영문)).3부서ID(DPRTM_ID)부서명(DPRTM_NM)부서설명(DPRTM_DSCRT)부서정렬순서(DPRTM_SRTNG_ORDR)상위부서ID(UPPER_DPRTM_ID)부서유형코드(DPRTM_TPE_CD)부서URL(DPRTM_URL)부서전화번호(DPRTM_TLNO)부서팩스번호(DPRTM_FXNO)수신이메일(RCPTN_EMAIL)주소구분코드(ADDR_TPCD).1지번우편번호(LTNO_ZIPCD)지번주소(LTNO_ADDR)지번상세주소(LTNO_DTADD)도로코드(ROAD_CD).1도로건물번호본번(ROAD_BLNO_ORN)도로건물번호부번(ROAD_BLNO_VCN)도로주소(ROAD_ADDR)도로상세주소(ROAD_DTADD)등록일시(RGSTN_DTM).2최종수정일시(LAST_UPDT_DTM).2유효여부(VLDTY_YN).2휴양림권역코드(RCRFR_DSTRC_CD)
10948<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10949<NA>1<NA>Y<NA>N2020-12-15 20:322020-12-15 20:322020-12-15 20:32<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3118<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3119<NA>1<NA>Y<NA>N2018-10-31 19:432018-10-31 19:432018-11-13 9:41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10513<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10514<NA>1<NA>Y<NA>N2021-06-07 17:132021-06-07 17:132021-06-07 17:21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6545<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6546<NA>1<NA>Y<NA>N2019-09-11 12:392019-09-11 12:392019-09-11 12:39<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1124<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1125<NA>1<NA>Y<NA>N2017-09-11 10:392017-09-11 10:392017-09-11 10:39<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5760<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5761<NA>1<NA>N<NA>N2019-07-18 11:342019-07-18 11:342019-07-18 11:34<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10531<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10532<NA>1<NA>Y<NA>N2020-12-21 20:542020-12-21 20:542020-12-21 20:54<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10915<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10916<NA>1<NA>Y<NA>N2020-12-16 12:082020-12-16 12:082020-12-16 12:08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2313<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2314<NA>1<NA>Y<NA>N2018-11-28 17:172018-11-28 17:172019-02-01 13:11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
11056<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11057<NA>1<NA>Y<NA>N2020-12-23 11:302020-12-23 11:302020-12-23 11:30<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
순번()컬럼(한글)(컬럼(영문))직급ID(CLPST_ID)직급명(CLPST_NM)직급설명(CLPST_DSCRT)직급우선순위(CLPST_PRRT)직급유형코드(CLPST_TPE_CD)휴양림직책코드(RCRFR_RSOFF_CD)등록일시(RGSTN_DTM)최종수정일시(LAST_UPDT_DTM)유효여부(VLDTY_YN)순번().1컬럼(한글)(컬럼(영문)).1인증유형코드(CRTFC_TPE_CD)인증기관코드(CRTFC_INSTT_CD)중복확인코드(DPLCT_CONF_CD)직원생년월일(EMP_BRTHD)성별구분코드(SXDST_TPCD)주소구분코드(ADDR_TPCD)도로코드(ROAD_CD)전화번호지역코드(TLNO_ARCD)최종로그인일시(LAST_LOGIN_DTM)등록일시(RGSTN_DTM).1최종수정일시(LAST_UPDT_DTM).1유효여부(VLDTY_YN).1순번().2컬럼(한글)(컬럼(영문)).2회원구분_U01(USER_TP_CD)직업_J01(JOB)이메일수신여부(EMAIL_RCV_YN)관심분야(FVRT_CONT)탈퇴여부(OUT_YN)최근접속일시(LAST_LOG_IN)등록일자(RGST_DT)수정일자(UPDT_DT)순번().3컬럼(한글)(컬럼(영문)).3부서ID(DPRTM_ID)부서명(DPRTM_NM)부서설명(DPRTM_DSCRT)부서정렬순서(DPRTM_SRTNG_ORDR)상위부서ID(UPPER_DPRTM_ID)부서유형코드(DPRTM_TPE_CD)부서URL(DPRTM_URL)부서전화번호(DPRTM_TLNO)부서팩스번호(DPRTM_FXNO)수신이메일(RCPTN_EMAIL)주소구분코드(ADDR_TPCD).1지번우편번호(LTNO_ZIPCD)지번주소(LTNO_ADDR)지번상세주소(LTNO_DTADD)도로코드(ROAD_CD).1도로건물번호본번(ROAD_BLNO_ORN)도로건물번호부번(ROAD_BLNO_VCN)도로주소(ROAD_ADDR)도로상세주소(ROAD_DTADD)등록일시(RGSTN_DTM).2최종수정일시(LAST_UPDT_DTM).2유효여부(VLDTY_YN).2휴양림권역코드(RCRFR_DSTRC_CD)
6936<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6937<NA>1<NA>Y<NA>N2019-12-21 21:002019-12-21 21:002019-12-21 21:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7904<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7905<NA>1<NA>Y<NA>N2020-11-25 19:352020-11-25 19:352020-11-25 19:35<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4949<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4950<NA>1<NA>Y<NA>N2018-12-06 17:132018-12-06 17:132018-12-06 17:13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8298<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8299<NA>1<NA>Y<NA>N2020-08-26 21:542020-08-26 21:542020-08-26 21:54<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
785<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>786<NA>1<NA>N<NA>N2017-01-09 10:492017-01-09 10:492018-12-01 12:55<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
10971<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10972<NA>1<NA>Y<NA>N2020-12-28 11:422020-12-28 11:422021-05-17 20:06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
114<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>115<NA>131Y<NA>N2016-12-02 16:482016-12-02 16:482017-11-30 15:08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8010<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8011<NA>1<NA>Y<NA>N2020-10-24 13:342020-10-24 13:342020-10-24 13:34<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6716<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6717<NA>1<NA>Y<NA>N2020-01-31 9:362020-01-31 9:362020-01-31 14:20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3399<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3400<NA>1<NA>Y<NA>N2018-11-28 13:132018-11-28 13:132018-11-28 13:18<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>