Overview

Dataset statistics

Number of variables97
Number of observations10000
Missing cells553579
Missing cells (%)57.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 MiB
Average record size in memory858.0 B

Variable types

Categorical35
Text6
Numeric8
DateTime8
Unsupported36
Boolean4

Dataset

Description산림복지서비스이용권시스템에서 추출한 기본제공정보입니다.
Author한국산림복지진흥원
URLhttps://www.data.go.kr/data/15088990/fileData.do

Alerts

개인정보동의여부(PRIVATE_AGREE) has constant value ""Constant
사용여부(USE_YN) has constant value ""Constant
등록일자(FRST_REGISTER_PNTTM) has constant value ""Constant
기관구분 (K008)(ORG_GB) is highly imbalanced (86.2%)Imbalance
기관단체구분 (K009)(ORG_GROUP_GB) is highly imbalanced (67.6%)Imbalance
기관상태(Y:삭제, N:승인, A:승인신청)(DEL_YN) is highly imbalanced (82.4%)Imbalance
사업년도(BIZ_YEAR).1 is highly imbalanced (94.8%)Imbalance
방문일련번호(VIS_SEQ) is highly imbalanced (93.5%)Imbalance
숙박형태(STAY_FLAG) is highly imbalanced (92.9%)Imbalance
버스대수(BUS_CNT) is highly imbalanced (94.6%)Imbalance
신청상태(REQ_STS).1 is highly imbalanced (93.4%)Imbalance
사업년도(BIZ_YEAR).2 is highly imbalanced (99.8%)Imbalance
사업차수(BIZ_NO) is highly imbalanced (99.7%)Imbalance
사업시작일(BIZ_START_DT) is highly imbalanced (99.8%)Imbalance
사업종료일(BIZ_END_DT) is highly imbalanced (99.8%)Imbalance
사용시작일(USE_START_DT) is highly imbalanced (99.8%)Imbalance
사용종료일(USE_END_DT) is highly imbalanced (99.8%)Imbalance
발급회차(ISSUE_SEQ) is highly imbalanced (99.8%)Imbalance
개인신청수(PER_REQ_CNT) is highly imbalanced (99.7%)Imbalance
단체신청수(GROUP_REQ_CNT) is highly imbalanced (99.9%)Imbalance
시설신청수(ORG_REQ_CNT) is highly imbalanced (99.7%)Imbalance
신청자지원금액(REQ_SUPPORT_AMT) is highly imbalanced (99.7%)Imbalance
가족지원금액(FAM_SUPPORT_AMT) is highly imbalanced (99.7%)Imbalance
기관단체 사업시작일(GROUP_START_DT) is highly imbalanced (99.9%)Imbalance
기관단체 사업 종료일(GROUP_END_DT) is highly imbalanced (99.9%)Imbalance
보장시설 사업시작일(ORGAN_START_DT) is highly imbalanced (99.8%)Imbalance
보장시설 사업종료일(ORGAN_END_DT) is highly imbalanced (99.8%)Imbalance
발급 신청 예산(REQ_TOTAL_AMT) is highly imbalanced (99.8%)Imbalance
지원인력 비율(GRP_SUP_CNT) is highly imbalanced (99.8%)Imbalance
수급자 비율(GRP_APP_CNT) is highly imbalanced (99.8%)Imbalance
사업시작일(BIZ_START_TIME) is highly imbalanced (99.8%)Imbalance
사업종료일(BIZ_END_TIME) is highly imbalanced (99.8%)Imbalance
이월총금액(PRE_TOTAL_AMT) is highly imbalanced (99.7%)Imbalance
개인총발급액(PER_TOTAL_AMT) is highly imbalanced (99.8%)Imbalance
시설총발급액(ORG_TOTAL_AMT) is highly imbalanced (99.8%)Imbalance
개인 배분 (이월금액)(PRE_PER_TOTAL_AMT) is highly imbalanced (99.7%)Imbalance
시설 배분 (이월금액)(PRE_ORG_TOTAL_AMT) is highly imbalanced (99.7%)Imbalance
코드(CODE) is highly imbalanced (99.6%)Imbalance
기관기타(ORG_ETC) has 9949 (99.5%) missing valuesMissing
기관명(ORG_NM) has 9408 (94.1%) missing valuesMissing
우편번호(ZIP_NO) has 9458 (94.6%) missing valuesMissing
주소(ADDR) has 9458 (94.6%) missing valuesMissing
상세주소(DETAIL_ADDR) has 9458 (94.6%) missing valuesMissing
등록일자(INPUT_DT) has 9409 (94.1%) missing valuesMissing
수정일자(UPDATE_DT) has 9473 (94.7%) missing valuesMissing
패키지ID(PCK_ID) has 10000 (100.0%) missing valuesMissing
패키지 제목(PCK_SJ) has 10000 (100.0%) missing valuesMissing
조회수(INQIRE_CO) has 10000 (100.0%) missing valuesMissing
패키지 게시시작인(PCK_BGNDE) has 10000 (100.0%) missing valuesMissing
패키지 게시종료일(PCK_ENDDE) has 10000 (100.0%) missing valuesMissing
패키지 수(PCK_CNT) has 10000 (100.0%) missing valuesMissing
금액(AMT) has 10000 (100.0%) missing valuesMissing
할인금액(DIS_AMT) has 10000 (100.0%) missing valuesMissing
테마(THEMA) has 10000 (100.0%) missing valuesMissing
시설코드(USE_FACILITY_CD) has 10000 (100.0%) missing valuesMissing
지역코드(AREA_CD) has 10000 (100.0%) missing valuesMissing
주소(ADDR).1 has 10000 (100.0%) missing valuesMissing
주소상세(AREA_TEL_NO) has 10000 (100.0%) missing valuesMissing
홈페이지(HOMEPAGE) has 10000 (100.0%) missing valuesMissing
패키지 시리얼넘버(PCK_CN) has 10000 (100.0%) missing valuesMissing
이벤트 시작일(EVNT_BGNDE) has 10000 (100.0%) missing valuesMissing
이벤트 종료일(EVNT_ENDDE) has 10000 (100.0%) missing valuesMissing
음식 시리얼넘버(FOOD_CN) has 10000 (100.0%) missing valuesMissing
시설사진 시리얼넘버(LODGE_CN) has 10000 (100.0%) missing valuesMissing
프로그램 시리얼넘버(PROGRM_CN) has 10000 (100.0%) missing valuesMissing
첫 방문일자(FRST_REGISTER_PNTTM) has 10000 (100.0%) missing valuesMissing
최종방문일자(LAST_UPDUSR_PNTTM) has 10000 (100.0%) missing valuesMissing
패키지ID(PCK_ID).1 has 10000 (100.0%) missing valuesMissing
사업년도(BIZ_YEAR) has 10000 (100.0%) missing valuesMissing
사업번호(BIZ_NO) has 10000 (100.0%) missing valuesMissing
신청일련번호(REQ_SEQ) has 10000 (100.0%) missing valuesMissing
일련번호(SEQ) has 10000 (100.0%) missing valuesMissing
신청상태(REQ_STS) has 10000 (100.0%) missing valuesMissing
신청일자(REQ_DT) has 10000 (100.0%) missing valuesMissing
취소일자(CANCEL_DT) has 10000 (100.0%) missing valuesMissing
확인일자(CONFIRM_DT) has 10000 (100.0%) missing valuesMissing
등록일자(INPUT_DT).1 has 10000 (100.0%) missing valuesMissing
수정일자(UPDATE_DT).1 has 10000 (100.0%) missing valuesMissing
방문시설코드(VIS_FAC) has 9866 (98.7%) missing valuesMissing
신청인원(ISSUE_CNT) has 9866 (98.7%) missing valuesMissing
체크인일자(USE_START_DT) has 9867 (98.7%) missing valuesMissing
체크아웃일자(USE_END_DT) has 9867 (98.7%) missing valuesMissing
등록일자(INPUT_DT).2 has 9866 (98.7%) missing valuesMissing
수정일자(UPT_DT) has 3819 (38.2%) missing valuesMissing
서브 플래그(SUB_DN) has 10000 (100.0%) missing valuesMissing
시설번호(ORG_SEQ) has 9316 (93.2%) missing valuesMissing
메일수신여부(EMAIL_FLAG) has 3411 (34.1%) missing valuesMissing
지역코드(AREA_CD).1 has 9993 (99.9%) missing valuesMissing
일련번호(SEQ).1 has 1011 (10.1%) missing valuesMissing
사용여부(USE_YN) has 9998 (> 99.9%) missing valuesMissing
비고(BIGO) has 10000 (100.0%) missing valuesMissing
등록일자(INPUT_DT).3 has 9998 (> 99.9%) missing valuesMissing
수정일자(UPDATE_DT).2 has 9998 (> 99.9%) missing valuesMissing
지역코드(AREA_CD).2 has 9993 (99.9%) missing valuesMissing
등록일자(FRST_REGISTER_PNTTM) has 9993 (99.9%) missing valuesMissing
수정일자(LAST_UPDUSR_PNTTM) has 10000 (100.0%) missing valuesMissing
패키지ID(PCK_ID) is an unsupported type, check if it needs cleaning or further analysisUnsupported
패키지 제목(PCK_SJ) is an unsupported type, check if it needs cleaning or further analysisUnsupported
조회수(INQIRE_CO) is an unsupported type, check if it needs cleaning or further analysisUnsupported
패키지 게시시작인(PCK_BGNDE) is an unsupported type, check if it needs cleaning or further analysisUnsupported
패키지 게시종료일(PCK_ENDDE) is an unsupported type, check if it needs cleaning or further analysisUnsupported
패키지 수(PCK_CNT) is an unsupported type, check if it needs cleaning or further analysisUnsupported
금액(AMT) is an unsupported type, check if it needs cleaning or further analysisUnsupported
할인금액(DIS_AMT) is an unsupported type, check if it needs cleaning or further analysisUnsupported
테마(THEMA) is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설코드(USE_FACILITY_CD) is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역코드(AREA_CD) is an unsupported type, check if it needs cleaning or further analysisUnsupported
주소(ADDR).1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주소상세(AREA_TEL_NO) is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지(HOMEPAGE) is an unsupported type, check if it needs cleaning or further analysisUnsupported
패키지 시리얼넘버(PCK_CN) is an unsupported type, check if it needs cleaning or further analysisUnsupported
이벤트 시작일(EVNT_BGNDE) is an unsupported type, check if it needs cleaning or further analysisUnsupported
이벤트 종료일(EVNT_ENDDE) is an unsupported type, check if it needs cleaning or further analysisUnsupported
음식 시리얼넘버(FOOD_CN) is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설사진 시리얼넘버(LODGE_CN) is an unsupported type, check if it needs cleaning or further analysisUnsupported
프로그램 시리얼넘버(PROGRM_CN) is an unsupported type, check if it needs cleaning or further analysisUnsupported
첫 방문일자(FRST_REGISTER_PNTTM) is an unsupported type, check if it needs cleaning or further analysisUnsupported
최종방문일자(LAST_UPDUSR_PNTTM) is an unsupported type, check if it needs cleaning or further analysisUnsupported
패키지ID(PCK_ID).1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사업년도(BIZ_YEAR) is an unsupported type, check if it needs cleaning or further analysisUnsupported
사업번호(BIZ_NO) is an unsupported type, check if it needs cleaning or further analysisUnsupported
신청일련번호(REQ_SEQ) is an unsupported type, check if it needs cleaning or further analysisUnsupported
일련번호(SEQ) is an unsupported type, check if it needs cleaning or further analysisUnsupported
신청상태(REQ_STS) is an unsupported type, check if it needs cleaning or further analysisUnsupported
신청일자(REQ_DT) is an unsupported type, check if it needs cleaning or further analysisUnsupported
취소일자(CANCEL_DT) is an unsupported type, check if it needs cleaning or further analysisUnsupported
확인일자(CONFIRM_DT) is an unsupported type, check if it needs cleaning or further analysisUnsupported
등록일자(INPUT_DT).1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수정일자(UPDATE_DT).1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
서브 플래그(SUB_DN) is an unsupported type, check if it needs cleaning or further analysisUnsupported
비고(BIGO) is an unsupported type, check if it needs cleaning or further analysisUnsupported
수정일자(LAST_UPDUSR_PNTTM) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 07:46:42.042883
Analysis finished2023-12-12 07:46:43.798183
Duration1.76 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관구분 (K008)(ORG_GB)
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9408 
장애인복지시설
 
335
기타
 
101
아동복지시설
 
73
노인복지시설
 
44
Other values (4)
 
39

Length

Max length9
Median length4
Mean length4.1135
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9408
94.1%
장애인복지시설 335
 
3.4%
기타 101
 
1.0%
아동복지시설 73
 
0.7%
노인복지시설 44
 
0.4%
지역자활센터 25
 
0.2%
부랑인복지시설 5
 
0.1%
한부모가족복지시설 5
 
0.1%
여성복지시설 4
 
< 0.1%

Length

2023-12-12T16:46:43.864347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:43.962500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9408
94.1%
장애인복지시설 335
 
3.4%
기타 101
 
1.0%
아동복지시설 73
 
0.7%
노인복지시설 44
 
0.4%
지역자활센터 25
 
0.2%
부랑인복지시설 5
 
< 0.1%
한부모가족복지시설 5
 
< 0.1%
여성복지시설 4
 
< 0.1%

기관기타(ORG_ETC)
Text

MISSING 

Distinct32
Distinct (%)62.7%
Missing9949
Missing (%)99.5%
Memory size156.2 KiB
2023-12-12T16:46:44.126563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length7.5490196
Min length2

Characters and Unicode

Total characters385
Distinct characters81
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)51.0%

Sample

1st row정신장애인재활시설
2nd row정신재활시설
3rd row비영리민간단체
4th row주간보호센터
5th row장애인평생교육시설
ValueCountFrequency (%)
정신재활시설 15
27.3%
종합사회복지관 4
 
7.3%
공동생활가정 2
 
3.6%
비영리민간단체 2
 
3.6%
정신요양시설 2
 
3.6%
장애인단체 2
 
3.6%
사단법인 1
 
1.8%
이용시설 1
 
1.8%
수동면노인회 1
 
1.8%
지체장애인협회 1
 
1.8%
Other values (24) 24
43.6%
2023-12-12T16:46:44.437935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 29
 
7.5%
설 28
 
7.3%
정 27
 
7.0%
신 24
 
6.2%
활 21
 
5.5%
재 18
 
4.7%
인 18
 
4.7%
회 14
 
3.6%
지 13
 
3.4%
애 13
 
3.4%
Other values (71) 180
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 377
97.9%
Space Separator 4
 
1.0%
Close Punctuation 2
 
0.5%
Open Punctuation 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 29
 
7.7%
설 28
 
7.4%
정 27
 
7.2%
신 24
 
6.4%
활 21
 
5.6%
재 18
 
4.8%
인 18
 
4.8%
회 14
 
3.7%
지 13
 
3.4%
애 13
 
3.4%
Other values (67) 172
45.6%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 377
97.9%
Common 8
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 29
 
7.7%
설 28
 
7.4%
정 27
 
7.2%
신 24
 
6.4%
활 21
 
5.6%
재 18
 
4.8%
인 18
 
4.8%
회 14
 
3.7%
지 13
 
3.4%
애 13
 
3.4%
Other values (67) 172
45.6%
Common
ValueCountFrequency (%)
4
50.0%
) 2
25.0%
( 1
 
12.5%
/ 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 377
97.9%
ASCII 8
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 29
 
7.7%
설 28
 
7.4%
정 27
 
7.2%
신 24
 
6.4%
활 21
 
5.6%
재 18
 
4.8%
인 18
 
4.8%
회 14
 
3.7%
지 13
 
3.4%
애 13
 
3.4%
Other values (67) 172
45.6%
ASCII
ValueCountFrequency (%)
4
50.0%
) 2
25.0%
( 1
 
12.5%
/ 1
 
12.5%

기관명(ORG_NM)
Text

MISSING 

Distinct560
Distinct (%)94.6%
Missing9408
Missing (%)94.1%
Memory size156.2 KiB
2023-12-12T16:46:44.661391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.9932432
Min length1

Characters and Unicode

Total characters4732
Distinct characters371
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

Unique532 ?
Unique (%)89.9%

Sample

1st row옥천지역자활센터
2nd row인정원
3rd row해남의집
4th row관저장애인주간보호센터
5th row홍복양로원
ValueCountFrequency (%)
집 10
 
1.5%
사회복지법인 10
 
1.5%
공동생활가정 5
 
0.7%
평화의집 4
 
0.6%
대동요양원 4
 
0.6%
우리집 3
 
0.4%
중증장애인거주시설 3
 
0.4%
정신재활시설 3
 
0.4%
노아의집 2
 
0.3%
은혜의집 2
 
0.3%
Other values (609) 641
93.3%
2023-12-12T16:46:45.004270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 169
 
3.6%
지 168
 
3.6%
원 150
 
3.2%
터 138
 
2.9%
센 128
 
2.7%
장 127
 
2.7%
애 121
 
2.6%
복 99
 
2.1%
활 98
 
2.1%
97
 
2.0%
Other values (361) 3437
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4598
97.2%
Space Separator 97
 
2.0%
Close Punctuation 14
 
0.3%
Open Punctuation 9
 
0.2%
Decimal Number 7
 
0.1%
Uppercase Letter 6
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 169
 
3.7%
지 168
 
3.7%
원 150
 
3.3%
터 138
 
3.0%
센 128
 
2.8%
장 127
 
2.8%
애 121
 
2.6%
복 99
 
2.2%
활 98
 
2.1%
동 97
 
2.1%
Other values (349) 3303
71.8%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
O 1
16.7%
A 1
16.7%
N 1
16.7%
Z 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 4
57.1%
3 2
28.6%
7 1
 
14.3%
Space Separator
ValueCountFrequency (%)
97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4598
97.2%
Common 128
 
2.7%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 169
 
3.7%
지 168
 
3.7%
원 150
 
3.3%
터 138
 
3.0%
센 128
 
2.8%
장 127
 
2.8%
애 121
 
2.6%
복 99
 
2.2%
활 98
 
2.1%
동 97
 
2.1%
Other values (349) 3303
71.8%
Common
ValueCountFrequency (%)
97
75.8%
) 14
 
10.9%
( 9
 
7.0%
1 4
 
3.1%
3 2
 
1.6%
7 1
 
0.8%
/ 1
 
0.8%
Latin
ValueCountFrequency (%)
S 2
33.3%
O 1
16.7%
A 1
16.7%
N 1
16.7%
Z 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4598
97.2%
ASCII 134
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 169
 
3.7%
지 168
 
3.7%
원 150
 
3.3%
터 138
 
3.0%
센 128
 
2.8%
장 127
 
2.8%
애 121
 
2.6%
복 99
 
2.2%
활 98
 
2.1%
동 97
 
2.1%
Other values (349) 3303
71.8%
ASCII
ValueCountFrequency (%)
97
72.4%
) 14
 
10.4%
( 9
 
6.7%
1 4
 
3.0%
S 2
 
1.5%
3 2
 
1.5%
O 1
 
0.7%
7 1
 
0.7%
/ 1
 
0.7%
A 1
 
0.7%
Other values (2) 2
 
1.5%

우편번호(ZIP_NO)
Real number (ℝ)

MISSING 

Distinct495
Distinct (%)91.3%
Missing9458
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean34361.762
Minimum1047
Maximum63619
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:46:45.126774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1047
5-th percentile7049.15
Q118446.5
median34786
Q351063
95-th percentile61508.3
Maximum63619
Range62572
Interquartile range (IQR)32616.5

Descriptive statistics

Standard deviation17769.041
Coefficient of variation (CV)0.51711669
Kurtosis-1.1774504
Mean34361.762
Median Absolute Deviation (MAD)16363.5
Skewness-0.030915235
Sum18624075
Variance3.1573881 × 108
MonotonicityNot monotonic
2023-12-12T16:46:45.240316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58263 3
 
< 0.1%
41000 3
 
< 0.1%
38449 3
 
< 0.1%
35428 3
 
< 0.1%
36173 2
 
< 0.1%
47584 2
 
< 0.1%
54988 2
 
< 0.1%
30009 2
 
< 0.1%
55454 2
 
< 0.1%
27348 2
 
< 0.1%
Other values (485) 518
 
5.2%
(Missing) 9458
94.6%
ValueCountFrequency (%)
1047 1
< 0.1%
1301 1
< 0.1%
1609 1
< 0.1%
1684 1
< 0.1%
1685 1
< 0.1%
1736 2
< 0.1%
1772 1
< 0.1%
2257 1
< 0.1%
3009 1
< 0.1%
3328 1
< 0.1%
ValueCountFrequency (%)
63619 1
< 0.1%
63545 1
< 0.1%
63305 1
< 0.1%
63210 1
< 0.1%
63199 1
< 0.1%
62407 1
< 0.1%
62382 1
< 0.1%
62367 1
< 0.1%
62349 1
< 0.1%
62204 1
< 0.1%

주소(ADDR)
Text

MISSING 

Distinct371
Distinct (%)68.5%
Missing9458
Missing (%)94.6%
Memory size156.2 KiB
2023-12-12T16:46:45.481140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length12.308118
Min length5

Characters and Unicode

Total characters6671
Distinct characters232
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique281 ?
Unique (%)51.8%

Sample

1st row충청북도 옥천군 옥천읍
2nd row전라남도 곡성군 곡성읍
3rd row전라남도 해남군 황산면
4th row대전광역시 서구 구봉로 13
5th row경기도 시흥시
ValueCountFrequency (%)
경기도 94
 
5.9%
경상북도 49
 
3.1%
서울특별시 45
 
2.8%
전라북도 39
 
2.4%
충청북도 38
 
2.4%
광주광역시 37
 
2.3%
전라남도 36
 
2.3%
대전광역시 32
 
2.0%
인천광역시 31
 
1.9%
경상남도 28
 
1.8%
Other values (563) 1167
73.1%
2023-12-12T16:46:45.840139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1054
 
15.8%
시 451
 
6.8%
도 346
 
5.2%
구 292
 
4.4%
광 214
 
3.2%
경 181
 
2.7%
북 164
 
2.5%
역 158
 
2.4%
남 151
 
2.3%
주 124
 
1.9%
Other values (222) 3536
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5108
76.6%
Space Separator 1054
 
15.8%
Decimal Number 461
 
6.9%
Dash Punctuation 48
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 451
 
8.8%
도 346
 
6.8%
구 292
 
5.7%
광 214
 
4.2%
경 181
 
3.5%
북 164
 
3.2%
역 158
 
3.1%
남 151
 
3.0%
주 124
 
2.4%
전 122
 
2.4%
Other values (210) 2905
56.9%
Decimal Number
ValueCountFrequency (%)
1 89
19.3%
2 65
14.1%
3 61
13.2%
5 45
9.8%
4 40
8.7%
7 38
8.2%
6 37
8.0%
9 31
 
6.7%
8 29
 
6.3%
0 26
 
5.6%
Space Separator
ValueCountFrequency (%)
1054
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5108
76.6%
Common 1563
 
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 451
 
8.8%
도 346
 
6.8%
구 292
 
5.7%
광 214
 
4.2%
경 181
 
3.5%
북 164
 
3.2%
역 158
 
3.1%
남 151
 
3.0%
주 124
 
2.4%
전 122
 
2.4%
Other values (210) 2905
56.9%
Common
ValueCountFrequency (%)
1054
67.4%
1 89
 
5.7%
2 65
 
4.2%
3 61
 
3.9%
- 48
 
3.1%
5 45
 
2.9%
4 40
 
2.6%
7 38
 
2.4%
6 37
 
2.4%
9 31
 
2.0%
Other values (2) 55
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5108
76.6%
ASCII 1563
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1054
67.4%
1 89
 
5.7%
2 65
 
4.2%
3 61
 
3.9%
- 48
 
3.1%
5 45
 
2.9%
4 40
 
2.6%
7 38
 
2.4%
6 37
 
2.4%
9 31
 
2.0%
Other values (2) 55
 
3.5%
Hangul
ValueCountFrequency (%)
시 451
 
8.8%
도 346
 
6.8%
구 292
 
5.7%
광 214
 
4.2%
경 181
 
3.5%
북 164
 
3.2%
역 158
 
3.1%
남 151
 
3.0%
주 124
 
2.4%
전 122
 
2.4%
Other values (210) 2905
56.9%

상세주소(DETAIL_ADDR)
Text

MISSING 

Distinct530
Distinct (%)97.8%
Missing9458
Missing (%)94.6%
Memory size156.2 KiB
2023-12-12T16:46:46.083034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length15.108856
Min length1

Characters and Unicode

Total characters8189
Distinct characters411
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique521 ?
Unique (%)96.1%

Sample

1st row중앙로 126 다목적회관3층
2nd row중앙로 37 인정원
3rd row연당길 35-48 해남의집
4th row1층 장애인주간보호센터
5th row미산로143번길 4 성진빌딩 3층
ValueCountFrequency (%)
3층 30
 
1.9%
2층 28
 
1.8%
1층 25
 
1.6%
201호 11
 
0.7%
12 7
 
0.5%
202호 7
 
0.5%
7
 
0.5%
집 7
 
0.5%
9 6
 
0.4%
17 6
 
0.4%
Other values (1224) 1415
91.3%
2023-12-12T16:46:46.430844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1038
 
12.7%
1 456
 
5.6%
로 318
 
3.9%
2 302
 
3.7%
3 282
 
3.4%
길 249
 
3.0%
0 196
 
2.4%
- 175
 
2.1%
4 169
 
2.1%
5 168
 
2.1%
Other values (401) 4836
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4787
58.5%
Decimal Number 2103
25.7%
Space Separator 1038
 
12.7%
Dash Punctuation 175
 
2.1%
Open Punctuation 29
 
0.4%
Close Punctuation 29
 
0.4%
Uppercase Letter 12
 
0.1%
Other Punctuation 9
 
0.1%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 318
 
6.6%
길 249
 
5.2%
동 136
 
2.8%
원 130
 
2.7%
호 121
 
2.5%
층 111
 
2.3%
지 108
 
2.3%
번 98
 
2.0%
인 96
 
2.0%
장 80
 
1.7%
Other values (371) 3340
69.8%
Decimal Number
ValueCountFrequency (%)
1 456
21.7%
2 302
14.4%
3 282
13.4%
0 196
9.3%
4 169
 
8.0%
5 168
 
8.0%
6 159
 
7.6%
7 128
 
6.1%
9 122
 
5.8%
8 121
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
S 3
25.0%
D 2
16.7%
A 2
16.7%
B 2
16.7%
O 1
 
8.3%
N 1
 
8.3%
Z 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
t 3
42.9%
a 1
 
14.3%
k 1
 
14.3%
g 1
 
14.3%
l 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 3
33.3%
@ 2
22.2%
; 2
22.2%
& 2
22.2%
Space Separator
ValueCountFrequency (%)
1038
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4787
58.5%
Common 3383
41.3%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 318
 
6.6%
길 249
 
5.2%
동 136
 
2.8%
원 130
 
2.7%
호 121
 
2.5%
층 111
 
2.3%
지 108
 
2.3%
번 98
 
2.0%
인 96
 
2.0%
장 80
 
1.7%
Other values (371) 3340
69.8%
Common
ValueCountFrequency (%)
1038
30.7%
1 456
13.5%
2 302
 
8.9%
3 282
 
8.3%
0 196
 
5.8%
- 175
 
5.2%
4 169
 
5.0%
5 168
 
5.0%
6 159
 
4.7%
7 128
 
3.8%
Other values (8) 310
 
9.2%
Latin
ValueCountFrequency (%)
t 3
15.8%
S 3
15.8%
D 2
10.5%
A 2
10.5%
B 2
10.5%
a 1
 
5.3%
O 1
 
5.3%
k 1
 
5.3%
g 1
 
5.3%
l 1
 
5.3%
Other values (2) 2
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4787
58.5%
ASCII 3402
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1038
30.5%
1 456
13.4%
2 302
 
8.9%
3 282
 
8.3%
0 196
 
5.8%
- 175
 
5.1%
4 169
 
5.0%
5 168
 
4.9%
6 159
 
4.7%
7 128
 
3.8%
Other values (20) 329
 
9.7%
Hangul
ValueCountFrequency (%)
로 318
 
6.6%
길 249
 
5.2%
동 136
 
2.8%
원 130
 
2.7%
호 121
 
2.5%
층 111
 
2.3%
지 108
 
2.3%
번 98
 
2.0%
인 96
 
2.0%
장 80
 
1.7%
Other values (371) 3340
69.8%

기관단체구분 (K009)(ORG_GROUP_GB)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9408 
시설
 
592

Length

Max length4
Median length4
Mean length3.8816
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9408
94.1%
시설 592
 
5.9%

Length

2023-12-12T16:46:46.545100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:46.625992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9408
94.1%
시설 592
 
5.9%

기관상태(Y:삭제, N:승인, A:승인신청)(DEL_YN)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9409 
N
 
536
Y
 
53
A
 
2

Length

Max length4
Median length4
Mean length3.8227
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9409
94.1%
N 536
 
5.4%
Y 53
 
0.5%
A 2
 
< 0.1%

Length

2023-12-12T16:46:46.704562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:46.780760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9409
94.1%
n 536
 
5.4%
y 53
 
0.5%
a 2
 
< 0.1%

등록일자(INPUT_DT)
Date

MISSING 

Distinct543
Distinct (%)91.9%
Missing9409
Missing (%)94.1%
Memory size156.2 KiB
Minimum2016-08-29 16:39:20
Maximum2021-04-12 23:40:16
2023-12-12T16:46:46.873165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:46:46.977577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일자(UPDATE_DT)
Date

MISSING 

Distinct527
Distinct (%)100.0%
Missing9473
Missing (%)94.7%
Memory size156.2 KiB
Minimum2016-12-21 15:18:16
Maximum2021-05-07 12:25:08
2023-12-12T16:46:47.079867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:46:47.181612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

패키지ID(PCK_ID)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

패키지 제목(PCK_SJ)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

조회수(INQIRE_CO)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

패키지 게시시작인(PCK_BGNDE)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

패키지 게시종료일(PCK_ENDDE)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

패키지 수(PCK_CNT)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

금액(AMT)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

할인금액(DIS_AMT)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

테마(THEMA)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

시설코드(USE_FACILITY_CD)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지역코드(AREA_CD)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

주소(ADDR).1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

주소상세(AREA_TEL_NO)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

홈페이지(HOMEPAGE)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

패키지 시리얼넘버(PCK_CN)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

이벤트 시작일(EVNT_BGNDE)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

이벤트 종료일(EVNT_ENDDE)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

음식 시리얼넘버(FOOD_CN)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

시설사진 시리얼넘버(LODGE_CN)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

프로그램 시리얼넘버(PROGRM_CN)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

첫 방문일자(FRST_REGISTER_PNTTM)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

최종방문일자(LAST_UPDUSR_PNTTM)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

패키지ID(PCK_ID).1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

사업년도(BIZ_YEAR)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

사업번호(BIZ_NO)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

신청일련번호(REQ_SEQ)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

일련번호(SEQ)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

신청상태(REQ_STS)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

신청일자(REQ_DT)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

취소일자(CANCEL_DT)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

확인일자(CONFIRM_DT)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

등록일자(INPUT_DT).1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

수정일자(UPDATE_DT).1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

사업년도(BIZ_YEAR).1
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9866 
2018
 
132
2019
 
1
2020
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9866
98.7%
2018 132
 
1.3%
2019 1
 
< 0.1%
2020 1
 
< 0.1%

Length

2023-12-12T16:46:47.281802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:47.359722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9866
98.7%
2018 132
 
1.3%
2019 1
 
< 0.1%
2020 1
 
< 0.1%

방문일련번호(VIS_SEQ)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9866 
1
 
133
2
 
1

Length

Max length4
Median length4
Mean length3.9598
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9866
98.7%
1 133
 
1.3%
2 1
 
< 0.1%

Length

2023-12-12T16:46:47.467196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:47.547998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9866
98.7%
1 133
 
1.3%
2 1
 
< 0.1%

방문시설코드(VIS_FAC)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)9.7%
Missing9866
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean44.753731
Minimum14
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:46:47.830928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile14
Q116
median20
Q367
95-th percentile91.4
Maximum177
Range163
Interquartile range (IQR)51

Descriptive statistics

Standard deviation31.923413
Coefficient of variation (CV)0.71331288
Kurtosis0.34966186
Mean44.753731
Median Absolute Deviation (MAD)6
Skewness0.72762258
Sum5997
Variance1019.1043
MonotonicityNot monotonic
2023-12-12T16:46:47.916062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
67 21
 
0.2%
15 19
 
0.2%
18 17
 
0.2%
16 13
 
0.1%
90 13
 
0.1%
20 11
 
0.1%
14 10
 
0.1%
66 9
 
0.1%
64 8
 
0.1%
94 6
 
0.1%
Other values (3) 7
 
0.1%
(Missing) 9866
98.7%
ValueCountFrequency (%)
14 10
0.1%
15 19
0.2%
16 13
0.1%
18 17
0.2%
20 11
0.1%
64 8
 
0.1%
66 9
0.1%
67 21
0.2%
68 3
 
< 0.1%
70 3
 
< 0.1%
ValueCountFrequency (%)
177 1
 
< 0.1%
94 6
 
0.1%
90 13
0.1%
70 3
 
< 0.1%
68 3
 
< 0.1%
67 21
0.2%
66 9
0.1%
64 8
 
0.1%
20 11
0.1%
18 17
0.2%

신청인원(ISSUE_CNT)
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)50.0%
Missing9866
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean38.902985
Minimum0
Maximum216
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:46:48.019192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.65
Q121.25
median32.5
Q348.75
95-th percentile81.4
Maximum216
Range216
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation29.48043
Coefficient of variation (CV)0.75779353
Kurtosis10.514205
Mean38.902985
Median Absolute Deviation (MAD)13.5
Skewness2.4387243
Sum5213
Variance869.09578
MonotonicityNot monotonic
2023-12-12T16:46:48.122993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 5
 
0.1%
60 5
 
0.1%
28 5
 
0.1%
20 5
 
0.1%
34 4
 
< 0.1%
38 4
 
< 0.1%
46 4
 
< 0.1%
25 4
 
< 0.1%
22 4
 
< 0.1%
0 3
 
< 0.1%
Other values (57) 91
 
0.9%
(Missing) 9866
98.7%
ValueCountFrequency (%)
0 3
< 0.1%
4 2
< 0.1%
5 2
< 0.1%
6 2
< 0.1%
7 1
 
< 0.1%
8 2
< 0.1%
9 2
< 0.1%
10 1
 
< 0.1%
11 3
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
216 1
< 0.1%
153 1
< 0.1%
125 1
< 0.1%
115 1
< 0.1%
90 1
< 0.1%
88 1
< 0.1%
84 1
< 0.1%
80 2
< 0.1%
79 2
< 0.1%
74 1
< 0.1%

숙박형태(STAY_FLAG)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9867 
1박2일
 
96
당일
 
37

Length

Max length4
Median length4
Mean length3.9926
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> 9867
98.7%
1박2일 96
 
1.0%
당일 37
 
0.4%

Length

2023-12-12T16:46:48.227010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:48.310213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9867
98.7%
1박2일 96
 
1.0%
당일 37
 
0.4%

체크인일자(USE_START_DT)
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)64.7%
Missing9867
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20180789
Minimum20180115
Maximum20200611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:46:48.405784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180115
5-th percentile20180309
Q120180419
median20180517
Q320180710
95-th percentile20181016
Maximum20200611
Range20496
Interquartile range (IQR)291

Descriptive statistics

Standard deviation1949.4129
Coefficient of variation (CV)9.6597455 × 10-5
Kurtosis86.819496
Mean20180789
Median Absolute Deviation (MAD)106
Skewness9.0695177
Sum2.684045 × 109
Variance3800210.6
MonotonicityNot monotonic
2023-12-12T16:46:48.521631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180426 4
 
< 0.1%
20180405 3
 
< 0.1%
20180418 3
 
< 0.1%
20180406 3
 
< 0.1%
20180516 3
 
< 0.1%
20180801 3
 
< 0.1%
20180626 3
 
< 0.1%
20180614 3
 
< 0.1%
20180505 3
 
< 0.1%
20180517 3
 
< 0.1%
Other values (76) 102
 
1.0%
(Missing) 9867
98.7%
ValueCountFrequency (%)
20180115 1
< 0.1%
20180222 1
< 0.1%
20180223 1
< 0.1%
20180228 1
< 0.1%
20180301 1
< 0.1%
20180307 1
< 0.1%
20180308 1
< 0.1%
20180309 1
< 0.1%
20180313 1
< 0.1%
20180314 1
< 0.1%
ValueCountFrequency (%)
20200611 1
< 0.1%
20190626 1
< 0.1%
20181029 1
< 0.1%
20181024 1
< 0.1%
20181019 1
< 0.1%
20181017 2
< 0.1%
20181016 1
< 0.1%
20181011 2
< 0.1%
20180926 1
< 0.1%
20180913 2
< 0.1%

체크아웃일자(USE_END_DT)
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)66.2%
Missing9867
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean20180791
Minimum20180116
Maximum20200612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:46:48.633277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20180116
5-th percentile20180309
Q120180420
median20180518
Q320180711
95-th percentile20181017
Maximum20200612
Range20496
Interquartile range (IQR)291

Descriptive statistics

Standard deviation1949.2402
Coefficient of variation (CV)9.658889 × 10-5
Kurtosis86.836329
Mean20180791
Median Absolute Deviation (MAD)106
Skewness9.0707672
Sum2.6840452 × 109
Variance3799537.3
MonotonicityNot monotonic
2023-12-12T16:46:48.741279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180406 4
 
< 0.1%
20180713 4
 
< 0.1%
20180518 4
 
< 0.1%
20180802 3
 
< 0.1%
20180425 3
 
< 0.1%
20180427 3
 
< 0.1%
20180627 3
 
< 0.1%
20180420 3
 
< 0.1%
20180419 3
 
< 0.1%
20180412 2
 
< 0.1%
Other values (78) 101
 
1.0%
(Missing) 9867
98.7%
ValueCountFrequency (%)
20180116 1
< 0.1%
20180223 2
< 0.1%
20180301 1
< 0.1%
20180302 1
< 0.1%
20180307 1
< 0.1%
20180308 1
< 0.1%
20180309 1
< 0.1%
20180313 1
< 0.1%
20180315 2
< 0.1%
20180322 1
< 0.1%
ValueCountFrequency (%)
20200612 1
< 0.1%
20190627 1
< 0.1%
20181029 1
< 0.1%
20181025 1
< 0.1%
20181019 1
< 0.1%
20181018 1
< 0.1%
20181017 2
< 0.1%
20181012 2
< 0.1%
20180926 1
< 0.1%
20180914 2
< 0.1%

버스대수(BUS_CNT)
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9866 
0
 
125
1
 
7
2
 
2

Length

Max length4
Median length4
Mean length3.9598
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> 9866
98.7%
0 125
 
1.2%
1 7
 
0.1%
2 2
 
< 0.1%

Length

2023-12-12T16:46:48.842093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:48.922741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9866
98.7%
0 125
 
1.2%
1 7
 
0.1%
2 2
 
< 0.1%

신청상태(REQ_STS).1
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9866 
승인대기
 
132
방문승인
 
2

Length

Max length4
Median length4
Mean length4
Min length4

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> 9866
98.7%
승인대기 132
 
1.3%
방문승인 2
 
< 0.1%

Length

2023-12-12T16:46:49.001319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:49.077523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9866
98.7%
승인대기 132
 
1.3%
방문승인 2
 
< 0.1%

등록일자(INPUT_DT).2
Date

MISSING 

Distinct10
Distinct (%)7.5%
Missing9866
Missing (%)98.7%
Memory size156.2 KiB
Minimum2018-02-19 16:18:47
Maximum2020-03-11 16:51:43
2023-12-12T16:46:49.160847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:46:49.237465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

주소번호(ZIP)
Real number (ℝ)

Distinct6352
Distinct (%)63.8%
Missing51
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean29356.315
Minimum1003
Maximum135010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:46:49.341465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1003
5-th percentile2524
Q112165
median27346
Q346304
95-th percentile61146.6
Maximum135010
Range134007
Interquartile range (IQR)34139

Descriptive statistics

Standard deviation18954.614
Coefficient of variation (CV)0.64567415
Kurtosis-1.1994136
Mean29356.315
Median Absolute Deviation (MAD)15984
Skewness0.18780214
Sum2.9206598 × 108
Variance3.5927739 × 108
MonotonicityNot monotonic
2023-12-12T16:46:49.466892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54657 21
 
0.2%
61510 17
 
0.2%
6764 17
 
0.2%
11493 16
 
0.2%
42613 13
 
0.1%
46010 13
 
0.1%
21342 13
 
0.1%
18439 12
 
0.1%
10906 12
 
0.1%
6370 11
 
0.1%
Other values (6342) 9804
98.0%
(Missing) 51
 
0.5%
ValueCountFrequency (%)
1003 1
 
< 0.1%
1004 1
 
< 0.1%
1006 1
 
< 0.1%
1010 3
< 0.1%
1011 1
 
< 0.1%
1014 1
 
< 0.1%
1015 1
 
< 0.1%
1021 1
 
< 0.1%
1022 1
 
< 0.1%
1024 1
 
< 0.1%
ValueCountFrequency (%)
135010 1
< 0.1%
63640 1
< 0.1%
63635 1
< 0.1%
63634 1
< 0.1%
63629 1
< 0.1%
63626 1
< 0.1%
63619 1
< 0.1%
63611 1
< 0.1%
63606 1
< 0.1%
63596 1
< 0.1%

개인정보동의여부(PRIVATE_AGREE)
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-12T16:46:49.550371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록일자(REG_DT)
Date

Distinct9990
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2011-04-21 00:00:00
Maximum2021-06-14 11:10:50
2023-12-12T16:46:49.631199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:46:49.742457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일자(UPT_DT)
Date

MISSING 

Distinct6172
Distinct (%)99.9%
Missing3819
Missing (%)38.2%
Memory size156.2 KiB
Minimum2017-01-11 17:25:52
Maximum2021-06-14 17:26:01
2023-12-12T16:46:49.866050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:46:49.985121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

서브 플래그(SUB_DN)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

시설번호(ORG_SEQ)
Real number (ℝ)

MISSING 

Distinct627
Distinct (%)91.7%
Missing9316
Missing (%)93.2%
Infinite0
Infinite (%)0.0%
Mean11425.848
Minimum104
Maximum32545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:46:50.095698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104
5-th percentile1357.3
Q14663.25
median8693
Q317773.25
95-th percentile29497.2
Maximum32545
Range32441
Interquartile range (IQR)13110

Descriptive statistics

Standard deviation8428.2208
Coefficient of variation (CV)0.7376451
Kurtosis-0.48605472
Mean11425.848
Median Absolute Deviation (MAD)6068
Skewness0.68077639
Sum7815280
Variance71034906
MonotonicityNot monotonic
2023-12-12T16:46:50.201976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16613 4
 
< 0.1%
19015 4
 
< 0.1%
9367 3
 
< 0.1%
566 3
 
< 0.1%
6854 3
 
< 0.1%
2859 3
 
< 0.1%
9170 3
 
< 0.1%
31757 2
 
< 0.1%
3260 2
 
< 0.1%
29990 2
 
< 0.1%
Other values (617) 655
 
6.6%
(Missing) 9316
93.2%
ValueCountFrequency (%)
104 1
< 0.1%
109 1
< 0.1%
110 1
< 0.1%
128 1
< 0.1%
129 1
< 0.1%
131 1
< 0.1%
132 1
< 0.1%
145 1
< 0.1%
215 2
< 0.1%
232 2
< 0.1%
ValueCountFrequency (%)
32545 1
< 0.1%
32165 1
< 0.1%
31967 1
< 0.1%
31757 2
< 0.1%
31707 1
< 0.1%
31600 1
< 0.1%
31564 1
< 0.1%
31552 1
< 0.1%
31534 1
< 0.1%
31498 1
< 0.1%

문자수신여부(SMS_FLAG)
Boolean

Distinct2
Distinct (%)< 0.1%
Missing53
Missing (%)0.5%
Memory size97.7 KiB
True
8262 
False
1685 
(Missing)
 
53
ValueCountFrequency (%)
True 8262
82.6%
False 1685
 
16.9%
(Missing) 53
 
0.5%
2023-12-12T16:46:50.286635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

메일수신여부(EMAIL_FLAG)
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing3411
Missing (%)34.1%
Memory size97.7 KiB
False
3471 
True
3118 
(Missing)
3411 
ValueCountFrequency (%)
False 3471
34.7%
True 3118
31.2%
(Missing) 3411
34.1%
2023-12-12T16:46:50.347608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지역코드(AREA_CD).1
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing9993
Missing (%)99.9%
Memory size156.2 KiB
2023-12-12T16:46:50.462091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.4285714
Min length3

Characters and Unicode

Total characters31
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row대전광역시
2nd row경기도
3rd row경상남도
4th row세종특별자치시
5th row인천광역시
ValueCountFrequency (%)
대전광역시 1
14.3%
경기도 1
14.3%
경상남도 1
14.3%
세종특별자치시 1
14.3%
인천광역시 1
14.3%
충청북도 1
14.3%
강원도 1
14.3%
2023-12-12T16:46:50.705429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 4
 
12.9%
시 3
 
9.7%
광 2
 
6.5%
역 2
 
6.5%
경 2
 
6.5%
대 1
 
3.2%
자 1
 
3.2%
강 1
 
3.2%
북 1
 
3.2%
청 1
 
3.2%
Other values (13) 13
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 4
 
12.9%
시 3
 
9.7%
광 2
 
6.5%
역 2
 
6.5%
경 2
 
6.5%
대 1
 
3.2%
자 1
 
3.2%
강 1
 
3.2%
북 1
 
3.2%
청 1
 
3.2%
Other values (13) 13
41.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 4
 
12.9%
시 3
 
9.7%
광 2
 
6.5%
역 2
 
6.5%
경 2
 
6.5%
대 1
 
3.2%
자 1
 
3.2%
강 1
 
3.2%
북 1
 
3.2%
청 1
 
3.2%
Other values (13) 13
41.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 4
 
12.9%
시 3
 
9.7%
광 2
 
6.5%
역 2
 
6.5%
경 2
 
6.5%
대 1
 
3.2%
자 1
 
3.2%
강 1
 
3.2%
북 1
 
3.2%
청 1
 
3.2%
Other values (13) 13
41.9%

일련번호(SEQ).1
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)0.9%
Missing1011
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.0436089
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:46:50.812141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum165
Range164
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.8541525
Coefficient of variation (CV)3.3539454
Kurtosis140.62477
Mean2.0436089
Median Absolute Deviation (MAD)0
Skewness10.149399
Sum18370
Variance46.979406
MonotonicityNot monotonic
2023-12-12T16:46:50.916646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 8456
84.6%
2 133
 
1.3%
3 58
 
0.6%
4 26
 
0.3%
5 17
 
0.2%
8 12
 
0.1%
10 12
 
0.1%
6 11
 
0.1%
28 11
 
0.1%
21 10
 
0.1%
Other values (68) 243
 
2.4%
(Missing) 1011
 
10.1%
ValueCountFrequency (%)
1 8456
84.6%
2 133
 
1.3%
3 58
 
0.6%
4 26
 
0.3%
5 17
 
0.2%
6 11
 
0.1%
7 5
 
0.1%
8 12
 
0.1%
9 4
 
< 0.1%
10 12
 
0.1%
ValueCountFrequency (%)
165 1
< 0.1%
153 1
< 0.1%
133 1
< 0.1%
117 1
< 0.1%
112 1
< 0.1%
107 1
< 0.1%
87 1
< 0.1%
86 1
< 0.1%
84 1
< 0.1%
83 1
< 0.1%

사업년도(BIZ_YEAR).2
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
2016
 
1
2020
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
2016 1
 
< 0.1%
2020 1
 
< 0.1%

Length

2023-12-12T16:46:51.013088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:51.093722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
2016 1
 
< 0.1%
2020 1
 
< 0.1%

사업차수(BIZ_NO)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
1
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
1 2
 
< 0.1%

Length

2023-12-12T16:46:51.176886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:51.250378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
1 2
 
< 0.1%

사업시작일(BIZ_START_DT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
20160601
 
1
20200203
 
1

Length

Max length8
Median length4
Mean length4.0008
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
20160601 1
 
< 0.1%
20200203 1
 
< 0.1%

Length

2023-12-12T16:46:51.338453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:51.419401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
20160601 1
 
< 0.1%
20200203 1
 
< 0.1%

사업종료일(BIZ_END_DT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
20161228
 
1
20200229
 
1

Length

Max length8
Median length4
Mean length4.0008
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
20161228 1
 
< 0.1%
20200229 1
 
< 0.1%

Length

2023-12-12T16:46:51.508449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:51.593738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
20161228 1
 
< 0.1%
20200229 1
 
< 0.1%

사용여부(USE_YN)
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing9998
Missing (%)> 99.9%
Memory size97.7 KiB
False
 
2
(Missing)
9998 
ValueCountFrequency (%)
False 2
 
< 0.1%
(Missing) 9998
> 99.9%
2023-12-12T16:46:51.659100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비고(BIGO)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

등록일자(INPUT_DT).3
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2016-07-19 11:27:18
Maximum2020-01-31 10:04:02
2023-12-12T16:46:51.960498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:46:52.030269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

수정일자(UPDATE_DT).2
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2019-04-04 12:53:00
Maximum2021-01-07 11:02:02
2023-12-12T16:46:52.093799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:46:52.159270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

사용시작일(USE_START_DT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
20160101
 
1
20200310
 
1

Length

Max length8
Median length4
Mean length4.0008
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
20160101 1
 
< 0.1%
20200310 1
 
< 0.1%

Length

2023-12-12T16:46:52.268421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:52.347815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
20160101 1
 
< 0.1%
20200310 1
 
< 0.1%

사용종료일(USE_END_DT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
20161231
 
1
20201120
 
1

Length

Max length8
Median length4
Mean length4.0008
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
20161231 1
 
< 0.1%
20201120 1
 
< 0.1%

Length

2023-12-12T16:46:52.432135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:52.517687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
20161231 1
 
< 0.1%
20201120 1
 
< 0.1%

발급회차(ISSUE_SEQ)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
1
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.9994
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
1 1
 
< 0.1%
5 1
 
< 0.1%

Length

2023-12-12T16:46:52.606889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:52.686034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
1 1
 
< 0.1%
5 1
 
< 0.1%

개인신청수(PER_REQ_CNT)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
0 2
 
< 0.1%

Length

2023-12-12T16:46:52.775445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:52.850308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 2
 
< 0.1%

단체신청수(GROUP_REQ_CNT)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
0
 
1

Length

Max length4
Median length4
Mean length3.9997
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
0 1
 
< 0.1%

Length

2023-12-12T16:46:52.936060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:53.018910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
0 1
 
< 0.1%

시설신청수(ORG_REQ_CNT)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
0 2
 
< 0.1%

Length

2023-12-12T16:46:53.100787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:53.175006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 2
 
< 0.1%

신청자지원금액(REQ_SUPPORT_AMT)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
100000
 
2

Length

Max length6
Median length4
Mean length4.0004
Min length4

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> 9998
> 99.9%
100000 2
 
< 0.1%

Length

2023-12-12T16:46:53.257069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:53.338075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
100000 2
 
< 0.1%

가족지원금액(FAM_SUPPORT_AMT)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
100000
 
2

Length

Max length6
Median length4
Mean length4.0004
Min length4

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> 9998
> 99.9%
100000 2
 
< 0.1%

Length

2023-12-12T16:46:53.422880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:53.503638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
100000 2
 
< 0.1%

기관단체 사업시작일(GROUP_START_DT)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
20161121
 
1

Length

Max length8
Median length4
Mean length4.0004
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
20161121 1
 
< 0.1%

Length

2023-12-12T16:46:53.588929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:53.669658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
20161121 1
 
< 0.1%

기관단체 사업 종료일(GROUP_END_DT)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9999 
20161201
 
1

Length

Max length8
Median length4
Mean length4.0004
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9999
> 99.9%
20161201 1
 
< 0.1%

Length

2023-12-12T16:46:53.758336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:53.838487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9999
> 99.9%
20161201 1
 
< 0.1%

보장시설 사업시작일(ORGAN_START_DT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
20161121
 
1
20200203
 
1

Length

Max length8
Median length4
Mean length4.0008
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
20161121 1
 
< 0.1%
20200203 1
 
< 0.1%

Length

2023-12-12T16:46:53.921336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:54.011191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
20161121 1
 
< 0.1%
20200203 1
 
< 0.1%

보장시설 사업종료일(ORGAN_END_DT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
20161201
 
1
20200229
 
1

Length

Max length8
Median length4
Mean length4.0008
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
20161201 1
 
< 0.1%
20200229 1
 
< 0.1%

Length

2023-12-12T16:46:54.122813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:54.205771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
20161201 1
 
< 0.1%
20200229 1
 
< 0.1%

발급 신청 예산(REQ_TOTAL_AMT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
91000000
 
1
4000000000
 
1

Length

Max length10
Median length4
Mean length4.001
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
91000000 1
 
< 0.1%
4000000000 1
 
< 0.1%

Length

2023-12-12T16:46:54.284138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:54.366894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
91000000 1
 
< 0.1%
4000000000 1
 
< 0.1%

지원인력 비율(GRP_SUP_CNT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.9994
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
0 1
 
< 0.1%
1 1
 
< 0.1%

Length

2023-12-12T16:46:54.448949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:54.528790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 1
 
< 0.1%
1 1
 
< 0.1%

수급자 비율(GRP_APP_CNT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.9994
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
0 1
 
< 0.1%
1 1
 
< 0.1%

Length

2023-12-12T16:46:54.611110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:54.699260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 1
 
< 0.1%
1 1
 
< 0.1%

사업시작일(BIZ_START_TIME)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
1
10
 
1

Length

Max length4
Median length4
Mean length3.9995
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
0 1
 
< 0.1%
10 1
 
< 0.1%

Length

2023-12-12T16:46:54.781368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:54.884679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 1
 
< 0.1%
10 1
 
< 0.1%

사업종료일(BIZ_END_TIME)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
1
18
 
1

Length

Max length4
Median length4
Mean length3.9995
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
0 1
 
< 0.1%
18 1
 
< 0.1%

Length

2023-12-12T16:46:54.976664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:55.063561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 1
 
< 0.1%
18 1
 
< 0.1%

이월총금액(PRE_TOTAL_AMT)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
0 2
 
< 0.1%

Length

2023-12-12T16:46:55.141877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:55.217505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 2
 
< 0.1%

개인총발급액(PER_TOTAL_AMT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
1
1200000000
 
1

Length

Max length10
Median length4
Mean length4.0003
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
0 1
 
< 0.1%
1200000000 1
 
< 0.1%

Length

2023-12-12T16:46:55.290811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:55.362768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 1
 
< 0.1%
1200000000 1
 
< 0.1%

시설총발급액(ORG_TOTAL_AMT)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
1
2800000000
 
1

Length

Max length10
Median length4
Mean length4.0003
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9998
> 99.9%
0 1
 
< 0.1%
2800000000 1
 
< 0.1%

Length

2023-12-12T16:46:55.438741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:55.510883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 1
 
< 0.1%
2800000000 1
 
< 0.1%

개인 배분 (이월금액)(PRE_PER_TOTAL_AMT)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
0 2
 
< 0.1%

Length

2023-12-12T16:46:55.592407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:55.664463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 2
 
< 0.1%

시설 배분 (이월금액)(PRE_ORG_TOTAL_AMT)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9998 
0
 
2

Length

Max length4
Median length4
Mean length3.9994
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> 9998
> 99.9%
0 2
 
< 0.1%

Length

2023-12-12T16:46:55.758013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:55.830992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9998
> 99.9%
0 2
 
< 0.1%

지역코드(AREA_CD).2
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing9993
Missing (%)99.9%
Memory size156.2 KiB
2023-12-12T16:46:55.938428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters14
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row경북
2nd row대구
3rd row전북
4th row경기
5th row부산
ValueCountFrequency (%)
경북 1
14.3%
대구 1
14.3%
전북 1
14.3%
경기 1
14.3%
부산 1
14.3%
전남 1
14.3%
충북 1
14.3%
2023-12-12T16:46:56.168834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
북 3
21.4%
경 2
14.3%
전 2
14.3%
대 1
 
7.1%
구 1
 
7.1%
기 1
 
7.1%
부 1
 
7.1%
산 1
 
7.1%
남 1
 
7.1%
충 1
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 3
21.4%
경 2
14.3%
전 2
14.3%
대 1
 
7.1%
구 1
 
7.1%
기 1
 
7.1%
부 1
 
7.1%
산 1
 
7.1%
남 1
 
7.1%
충 1
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 3
21.4%
경 2
14.3%
전 2
14.3%
대 1
 
7.1%
구 1
 
7.1%
기 1
 
7.1%
부 1
 
7.1%
산 1
 
7.1%
남 1
 
7.1%
충 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
북 3
21.4%
경 2
14.3%
전 2
14.3%
대 1
 
7.1%
구 1
 
7.1%
기 1
 
7.1%
부 1
 
7.1%
산 1
 
7.1%
남 1
 
7.1%
충 1
 
7.1%

코드(CODE)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9993 
5
 
3
4
 
2
2
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.9979
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9993
99.9%
5 3
 
< 0.1%
4 2
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-12T16:46:56.270481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:46:56.353298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9993
99.9%
5 3
 
< 0.1%
4 2
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%

등록일자(FRST_REGISTER_PNTTM)
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)14.3%
Missing9993
Missing (%)99.9%
Memory size156.2 KiB
Minimum2017-11-27 17:34:54
Maximum2017-11-27 17:34:54
2023-12-12T16:46:56.419912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:46:56.490208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

수정일자(LAST_UPDUSR_PNTTM)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

기관구분 (K008)(ORG_GB)기관기타(ORG_ETC)기관명(ORG_NM)우편번호(ZIP_NO)주소(ADDR)상세주소(DETAIL_ADDR)기관단체구분 (K009)(ORG_GROUP_GB)기관상태(Y:삭제, N:승인, A:승인신청)(DEL_YN)등록일자(INPUT_DT)수정일자(UPDATE_DT)패키지ID(PCK_ID)패키지 제목(PCK_SJ)조회수(INQIRE_CO)패키지 게시시작인(PCK_BGNDE)패키지 게시종료일(PCK_ENDDE)패키지 수(PCK_CNT)금액(AMT)할인금액(DIS_AMT)테마(THEMA)시설코드(USE_FACILITY_CD)지역코드(AREA_CD)주소(ADDR).1주소상세(AREA_TEL_NO)홈페이지(HOMEPAGE)패키지 시리얼넘버(PCK_CN)이벤트 시작일(EVNT_BGNDE)이벤트 종료일(EVNT_ENDDE)음식 시리얼넘버(FOOD_CN)시설사진 시리얼넘버(LODGE_CN)프로그램 시리얼넘버(PROGRM_CN)첫 방문일자(FRST_REGISTER_PNTTM)최종방문일자(LAST_UPDUSR_PNTTM)패키지ID(PCK_ID).1사업년도(BIZ_YEAR)사업번호(BIZ_NO)신청일련번호(REQ_SEQ)일련번호(SEQ)신청상태(REQ_STS)신청일자(REQ_DT)취소일자(CANCEL_DT)확인일자(CONFIRM_DT)등록일자(INPUT_DT).1수정일자(UPDATE_DT).1사업년도(BIZ_YEAR).1방문일련번호(VIS_SEQ)방문시설코드(VIS_FAC)신청인원(ISSUE_CNT)숙박형태(STAY_FLAG)체크인일자(USE_START_DT)체크아웃일자(USE_END_DT)버스대수(BUS_CNT)신청상태(REQ_STS).1등록일자(INPUT_DT).2주소번호(ZIP)개인정보동의여부(PRIVATE_AGREE)등록일자(REG_DT)수정일자(UPT_DT)서브 플래그(SUB_DN)시설번호(ORG_SEQ)문자수신여부(SMS_FLAG)메일수신여부(EMAIL_FLAG)지역코드(AREA_CD).1일련번호(SEQ).1사업년도(BIZ_YEAR).2사업차수(BIZ_NO)사업시작일(BIZ_START_DT)사업종료일(BIZ_END_DT)사용여부(USE_YN)비고(BIGO)등록일자(INPUT_DT).3수정일자(UPDATE_DT).2사용시작일(USE_START_DT)사용종료일(USE_END_DT)발급회차(ISSUE_SEQ)개인신청수(PER_REQ_CNT)단체신청수(GROUP_REQ_CNT)시설신청수(ORG_REQ_CNT)신청자지원금액(REQ_SUPPORT_AMT)가족지원금액(FAM_SUPPORT_AMT)기관단체 사업시작일(GROUP_START_DT)기관단체 사업 종료일(GROUP_END_DT)보장시설 사업시작일(ORGAN_START_DT)보장시설 사업종료일(ORGAN_END_DT)발급 신청 예산(REQ_TOTAL_AMT)지원인력 비율(GRP_SUP_CNT)수급자 비율(GRP_APP_CNT)사업시작일(BIZ_START_TIME)사업종료일(BIZ_END_TIME)이월총금액(PRE_TOTAL_AMT)개인총발급액(PER_TOTAL_AMT)시설총발급액(ORG_TOTAL_AMT)개인 배분 (이월금액)(PRE_PER_TOTAL_AMT)시설 배분 (이월금액)(PRE_ORG_TOTAL_AMT)지역코드(AREA_CD).2코드(CODE)등록일자(FRST_REGISTER_PNTTM)수정일자(LAST_UPDUSR_PNTTM)
18717<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><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><NA><NA><NA>14107Y2020-02-12 14:29:31.02021-02-05 16:18:38.0<NA><NA>Y<NA><NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1370지역자활센터<NA>옥천지역자활센터29040충청북도 옥천군 옥천읍중앙로 126 다목적회관3층시설N2018-01-29 14:45:32.02018-01-29 14:46:33.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>42691Y2017-02-04 16:03:16.02021-01-14 19:22:25.0<NA><NA>YN<NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42058<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><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><NA><NA><NA>1601Y2021-02-01 21:16:35.02021-02-01 21:16:35.0<NA><NA>Y<NA><NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12130<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><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><NA><NA><NA>42200Y2019-01-18 11:42:08.0<NA><NA><NA>Y<NA><NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31115<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><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><NA><NA><NA>22103Y2021-01-13 15:21:33.0<NA><NA><NA>YN<NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5352<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><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><NA><NA><NA>12169Y2018-01-17 18:58:17.02018-01-22 22:09:55.0<NA><NA>YN<NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
28435<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><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><NA><NA><NA>1882Y2021-01-13 01:47:29.0<NA><NA><NA>NN<NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14098<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><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><NA><NA><NA>24209Y2019-06-14 14:33:26.0<NA><NA><NA>YY<NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
20849<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><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><NA><NA><NA>14548Y2020-02-09 11:54:31.02020-02-15 14:22:22.0<NA><NA>YY<NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
26386<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><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><NA><NA><NA>13827Y2021-01-08 02:53:03.02021-02-17 17:12:35.0<NA><NA>YN<NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
기관구분 (K008)(ORG_GB)기관기타(ORG_ETC)기관명(ORG_NM)우편번호(ZIP_NO)주소(ADDR)상세주소(DETAIL_ADDR)기관단체구분 (K009)(ORG_GROUP_GB)기관상태(Y:삭제, N:승인, A:승인신청)(DEL_YN)등록일자(INPUT_DT)수정일자(UPDATE_DT)패키지ID(PCK_ID)패키지 제목(PCK_SJ)조회수(INQIRE_CO)패키지 게시시작인(PCK_BGNDE)패키지 게시종료일(PCK_ENDDE)패키지 수(PCK_CNT)금액(AMT)할인금액(DIS_AMT)테마(THEMA)시설코드(USE_FACILITY_CD)지역코드(AREA_CD)주소(ADDR).1주소상세(AREA_TEL_NO)홈페이지(HOMEPAGE)패키지 시리얼넘버(PCK_CN)이벤트 시작일(EVNT_BGNDE)이벤트 종료일(EVNT_ENDDE)음식 시리얼넘버(FOOD_CN)시설사진 시리얼넘버(LODGE_CN)프로그램 시리얼넘버(PROGRM_CN)첫 방문일자(FRST_REGISTER_PNTTM)최종방문일자(LAST_UPDUSR_PNTTM)패키지ID(PCK_ID).1사업년도(BIZ_YEAR)사업번호(BIZ_NO)신청일련번호(REQ_SEQ)일련번호(SEQ)신청상태(REQ_STS)신청일자(REQ_DT)취소일자(CANCEL_DT)확인일자(CONFIRM_DT)등록일자(INPUT_DT).1수정일자(UPDATE_DT).1사업년도(BIZ_YEAR).1방문일련번호(VIS_SEQ)방문시설코드(VIS_FAC)신청인원(ISSUE_CNT)숙박형태(STAY_FLAG)체크인일자(USE_START_DT)체크아웃일자(USE_END_DT)버스대수(BUS_CNT)신청상태(REQ_STS).1등록일자(INPUT_DT).2주소번호(ZIP)개인정보동의여부(PRIVATE_AGREE)등록일자(REG_DT)수정일자(UPT_DT)서브 플래그(SUB_DN)시설번호(ORG_SEQ)문자수신여부(SMS_FLAG)메일수신여부(EMAIL_FLAG)지역코드(AREA_CD).1일련번호(SEQ).1사업년도(BIZ_YEAR).2사업차수(BIZ_NO)사업시작일(BIZ_START_DT)사업종료일(BIZ_END_DT)사용여부(USE_YN)비고(BIGO)등록일자(INPUT_DT).3수정일자(UPDATE_DT).2사용시작일(USE_START_DT)사용종료일(USE_END_DT)발급회차(ISSUE_SEQ)개인신청수(PER_REQ_CNT)단체신청수(GROUP_REQ_CNT)시설신청수(ORG_REQ_CNT)신청자지원금액(REQ_SUPPORT_AMT)가족지원금액(FAM_SUPPORT_AMT)기관단체 사업시작일(GROUP_START_DT)기관단체 사업 종료일(GROUP_END_DT)보장시설 사업시작일(ORGAN_START_DT)보장시설 사업종료일(ORGAN_END_DT)발급 신청 예산(REQ_TOTAL_AMT)지원인력 비율(GRP_SUP_CNT)수급자 비율(GRP_APP_CNT)사업시작일(BIZ_START_TIME)사업종료일(BIZ_END_TIME)이월총금액(PRE_TOTAL_AMT)개인총발급액(PER_TOTAL_AMT)시설총발급액(ORG_TOTAL_AMT)개인 배분 (이월금액)(PRE_PER_TOTAL_AMT)시설 배분 (이월금액)(PRE_ORG_TOTAL_AMT)지역코드(AREA_CD).2코드(CODE)등록일자(FRST_REGISTER_PNTTM)수정일자(LAST_UPDUSR_PNTTM)
17303<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><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><NA><NA><NA>41097Y2020-02-04 13:34:57.0<NA><NA><NA>YY<NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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6825<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><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><NA><NA><NA>38670Y2018-02-19 20:27:42.02020-02-17 09:27:37.0<NA><NA>YY<NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
36783<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><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><NA><NA><NA>42166Y2021-02-01 10:28:16.02021-02-01 11:10:13.0<NA>4906YN<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1877아동복지시설<NA>복된해피스쿨지역아동센터27630충청북도 음성군 금왕읍무극로 193-7 복된해피스쿨지역아동센터시설N2019-01-29 15:57:06.02019-01-29 16:24:17.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21599Y2017-02-16 13:24:22.02017-02-16 13:41:38.0<NA>3522YY<NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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7860<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><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><NA><NA><NA>57905Y2018-04-13 11:27:42.0<NA><NA><NA>NN<NA>1<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>