Overview

Dataset statistics

Number of variables10
Number of observations599
Missing cells1689
Missing cells (%)28.2%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory47.5 KiB
Average record size in memory81.2 B

Variable types

Numeric1
Categorical7
Text2

Dataset

Description충청북도 음성군 UPIS(도시계획정보시스템) 관련 도시개발계획 개발지구 공개 테이블 관련한 데이터베이스 내용을 공개합니다. 자세한 문의는 음성군으로 문의하여 주시기 바랍니다.
URLhttps://www.data.go.kr/data/15121322/fileData.do

Alerts

Dataset has 1 (0.2%) duplicate rowsDuplicates
한글 컬럼명 is highly overall correlated with 시스템명 and 5 other fieldsHigh correlation
시스템명 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
물리데이터베이스명 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
영문 컬럼명 is highly overall correlated with 시스템명 and 5 other fieldsHigh correlation
논리데이터베이스명 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
데이터기준일자 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
공개여부 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
연번 is highly overall correlated with 시스템명 and 4 other fieldsHigh correlation
시스템명 is highly imbalanced (67.2%)Imbalance
논리데이터베이스명 is highly imbalanced (67.2%)Imbalance
물리데이터베이스명 is highly imbalanced (67.2%)Imbalance
영문 컬럼명 is highly imbalanced (85.4%)Imbalance
한글 컬럼명 is highly imbalanced (85.4%)Imbalance
공개여부 is highly imbalanced (67.2%)Imbalance
데이터기준일자 is highly imbalanced (67.2%)Imbalance
연번 has 563 (94.0%) missing valuesMissing
영문테이블명 has 563 (94.0%) missing valuesMissing
한글테이블명 has 563 (94.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:44:44.870266
Analysis finished2023-12-12 04:44:46.148581
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct36
Distinct (%)100.0%
Missing563
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-12T13:44:46.235505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2023-12-12T13:44:46.402483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
20 1
 
0.2%
22 1
 
0.2%
23 1
 
0.2%
24 1
 
0.2%
25 1
 
0.2%
26 1
 
0.2%
27 1
 
0.2%
28 1
 
0.2%
29 1
 
0.2%
30 1
 
0.2%
Other values (26) 26
 
4.3%
(Missing) 563
94.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
36 1
0.2%
35 1
0.2%
34 1
0.2%
33 1
0.2%
32 1
0.2%
31 1
0.2%
30 1
0.2%
29 1
0.2%
28 1
0.2%
27 1
0.2%

시스템명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
563 
도시계획정보시스템(UPIS)
 
36

Length

Max length15
Median length4
Mean length4.6611018
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도시계획정보시스템(UPIS)
2nd row도시계획정보시스템(UPIS)
3rd row도시계획정보시스템(UPIS)
4th row도시계획정보시스템(UPIS)
5th row도시계획정보시스템(UPIS)

Common Values

ValueCountFrequency (%)
<NA> 563
94.0%
도시계획정보시스템(UPIS) 36
 
6.0%

Length

2023-12-12T13:44:46.564670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:44:46.686938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
94.0%
도시계획정보시스템(upis 36
 
6.0%

논리데이터베이스명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
563 
도시계획정보
 
36

Length

Max length6
Median length4
Mean length4.1202003
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 563
94.0%
도시계획정보 36
 
6.0%

Length

2023-12-12T13:44:46.833980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:44:46.970000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
94.0%
도시계획정보 36
 
6.0%

물리데이터베이스명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
563 
UPIS
 
36

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 563
94.0%
UPIS 36
 
6.0%

Length

2023-12-12T13:44:47.075016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:44:47.179824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
94.0%
upis 36
 
6.0%

영문테이블명
Text

MISSING 

Distinct19
Distinct (%)52.8%
Missing563
Missing (%)94.0%
Memory size4.8 KiB
2023-12-12T13:44:47.338457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length15.638889
Min length12

Characters and Unicode

Total characters563
Distinct characters28
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

Unique14 ?
Unique (%)38.9%

Sample

1st rowUPIS_C_UQ161
2nd rowUPIS_C_UQ141
3rd rowUPIS_C_UQ129
4th rowUPIS_C_UQ126
5th rowUPIS_C_UQ128
ValueCountFrequency (%)
tn_dstplan_ori 6
16.7%
tn_dstplan_nonuse 4
11.1%
tn_dstplan_permission 4
11.1%
tn_dstplan_designation 4
11.1%
tn_dstplan_encuse 4
11.1%
upis_c_uq167_ht 1
 
2.8%
upis_c_uq130 1
 
2.8%
upis_c_uq128 1
 
2.8%
upis_c_uq126 1
 
2.8%
upis_c_uq129 1
 
2.8%
Other values (9) 9
25.0%
2023-12-12T13:44:47.694921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 73
13.0%
N 68
12.1%
S 56
9.9%
T 49
 
8.7%
P 40
 
7.1%
U 36
 
6.4%
I 36
 
6.4%
D 26
 
4.6%
A 26
 
4.6%
L 22
 
3.9%
Other values (18) 131
23.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 448
79.6%
Connector Punctuation 73
 
13.0%
Decimal Number 42
 
7.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 68
15.2%
S 56
12.5%
T 49
10.9%
P 40
8.9%
U 36
8.0%
I 36
8.0%
D 26
 
5.8%
A 26
 
5.8%
L 22
 
4.9%
E 20
 
4.5%
Other values (7) 69
15.4%
Decimal Number
ValueCountFrequency (%)
1 18
42.9%
2 10
23.8%
3 3
 
7.1%
6 3
 
7.1%
4 2
 
4.8%
7 2
 
4.8%
5 1
 
2.4%
9 1
 
2.4%
8 1
 
2.4%
0 1
 
2.4%
Connector Punctuation
ValueCountFrequency (%)
_ 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 448
79.6%
Common 115
 
20.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 68
15.2%
S 56
12.5%
T 49
10.9%
P 40
8.9%
U 36
8.0%
I 36
8.0%
D 26
 
5.8%
A 26
 
5.8%
L 22
 
4.9%
E 20
 
4.5%
Other values (7) 69
15.4%
Common
ValueCountFrequency (%)
_ 73
63.5%
1 18
 
15.7%
2 10
 
8.7%
3 3
 
2.6%
6 3
 
2.6%
4 2
 
1.7%
7 2
 
1.7%
5 1
 
0.9%
9 1
 
0.9%
8 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 563
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 73
13.0%
N 68
12.1%
S 56
9.9%
T 49
 
8.7%
P 40
 
7.1%
U 36
 
6.4%
I 36
 
6.4%
D 26
 
4.6%
A 26
 
4.6%
L 22
 
3.9%
Other values (18) 131
23.3%

한글테이블명
Text

MISSING 

Distinct19
Distinct (%)52.8%
Missing563
Missing (%)94.0%
Memory size4.8 KiB
2023-12-12T13:44:47.886321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.5277778
Min length4

Characters and Unicode

Total characters235
Distinct characters47
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

Unique14 ?
Unique (%)38.9%

Sample

1st row지구단위계획구역_현황
2nd row개발제한구역_현황
3rd row개발진흥지구_현황
4th row보존지구_현황
5th row취락지구_현황
ValueCountFrequency (%)
지구단위 6
14.3%
규제정보 6
14.3%
권장용도 4
 
9.5%
불허용도 4
 
9.5%
허용용도 4
 
9.5%
지정용도 4
 
9.5%
합벽건축_임시_현황 1
 
2.4%
특정용도제한지구_현황 1
 
2.4%
취락지구_현황 1
 
2.4%
보존지구_현황 1
 
2.4%
Other values (10) 10
23.8%
2023-12-12T13:44:48.294794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 22
 
9.4%
용 22
 
9.4%
구 20
 
8.5%
도 19
 
8.1%
_ 15
 
6.4%
황 14
 
6.0%
현 14
 
6.0%
정 11
 
4.7%
제 8
 
3.4%
보 8
 
3.4%
Other values (37) 82
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214
91.1%
Connector Punctuation 15
 
6.4%
Space Separator 6
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 22
 
10.3%
용 22
 
10.3%
구 20
 
9.3%
도 19
 
8.9%
황 14
 
6.5%
현 14
 
6.5%
정 11
 
5.1%
제 8
 
3.7%
보 8
 
3.7%
허 8
 
3.7%
Other values (35) 68
31.8%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214
91.1%
Common 21
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 22
 
10.3%
용 22
 
10.3%
구 20
 
9.3%
도 19
 
8.9%
황 14
 
6.5%
현 14
 
6.5%
정 11
 
5.1%
제 8
 
3.7%
보 8
 
3.7%
허 8
 
3.7%
Other values (35) 68
31.8%
Common
ValueCountFrequency (%)
_ 15
71.4%
6
 
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
91.1%
ASCII 21
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 22
 
10.3%
용 22
 
10.3%
구 20
 
9.3%
도 19
 
8.9%
황 14
 
6.5%
현 14
 
6.5%
정 11
 
5.1%
제 8
 
3.7%
보 8
 
3.7%
허 8
 
3.7%
Other values (35) 68
31.8%
ASCII
ValueCountFrequency (%)
_ 15
71.4%
6
 
28.6%

영문 컬럼명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
563 
SIGNGU_SE
 
14
PRESENT_SN
 
5
TYPE_CODE
 
5
DESCRIPT
 
4
Other values (5)
 
8

Length

Max length15
Median length4
Mean length4.3372287
Min length4

Unique

Unique4 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 563
94.0%
SIGNGU_SE 14
 
2.3%
PRESENT_SN 5
 
0.8%
TYPE_CODE 5
 
0.8%
DESCRIPT 4
 
0.7%
USE_EXPLANATION 4
 
0.7%
FILE_NAME 1
 
0.2%
FILE_URL 1
 
0.2%
ORI_SN 1
 
0.2%
RESTRICT_N 1
 
0.2%

Length

2023-12-12T13:44:48.495726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:44:48.620464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
94.0%
signgu_se 14
 
2.3%
present_sn 5
 
0.8%
type_code 5
 
0.8%
descript 4
 
0.7%
use_explanation 4
 
0.7%
file_name 1
 
0.2%
file_url 1
 
0.2%
ori_sn 1
 
0.2%
restrict_n 1
 
0.2%

한글 컬럼명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
563 
시군구코드
 
14
현황도형 관리번호
 
5
구분 코드
 
5
비고
 
4
Other values (5)
 
8

Length

Max length9
Median length4
Mean length4.0784641
Min length2

Unique

Unique4 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 563
94.0%
시군구코드 14
 
2.3%
현황도형 관리번호 5
 
0.8%
구분 코드 5
 
0.8%
비고 4
 
0.7%
용도 설명 4
 
0.7%
파일명 1
 
0.2%
파일 경로 1
 
0.2%
고시원문 관리번호 1
 
0.2%
규제관리번호 1
 
0.2%

Length

2023-12-12T13:44:48.787534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:44:48.942453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
91.5%
시군구코드 14
 
2.3%
관리번호 6
 
1.0%
현황도형 5
 
0.8%
구분 5
 
0.8%
코드 5
 
0.8%
비고 4
 
0.7%
용도 4
 
0.7%
설명 4
 
0.7%
파일명 1
 
0.2%
Other values (4) 4
 
0.7%

공개여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
563 
공개
 
36

Length

Max length4
Median length4
Mean length3.8797997
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 563
94.0%
공개 36
 
6.0%

Length

2023-12-12T13:44:49.129088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:44:49.299865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
94.0%
공개 36
 
6.0%

데이터기준일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
563 
2023-08-29
 
36

Length

Max length10
Median length4
Mean length4.360601
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-29
2nd row2023-08-29
3rd row2023-08-29
4th row2023-08-29
5th row2023-08-29

Common Values

ValueCountFrequency (%)
<NA> 563
94.0%
2023-08-29 36
 
6.0%

Length

2023-12-12T13:44:49.448590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:44:49.550550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 563
94.0%
2023-08-29 36
 
6.0%

Interactions

2023-12-12T13:44:45.452322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:44:49.630615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영문테이블명한글테이블명영문 컬럼명한글 컬럼명
연번1.0000.9160.9160.3810.381
영문테이블명0.9161.0001.0000.0000.000
한글테이블명0.9161.0001.0000.0000.000
영문 컬럼명0.3810.0000.0001.0001.000
한글 컬럼명0.3810.0000.0001.0001.000
2023-12-12T13:44:50.076288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
한글 컬럼명시스템명물리데이터베이스명영문 컬럼명논리데이터베이스명데이터기준일자공개여부
한글 컬럼명1.0001.0001.0001.0001.0001.0001.000
시스템명1.0001.0001.0001.0001.0001.0001.000
물리데이터베이스명1.0001.0001.0001.0001.0001.0001.000
영문 컬럼명1.0001.0001.0001.0001.0001.0001.000
논리데이터베이스명1.0001.0001.0001.0001.0001.0001.000
데이터기준일자1.0001.0001.0001.0001.0001.0001.000
공개여부1.0001.0001.0001.0001.0001.0001.000
2023-12-12T13:44:50.223322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시스템명논리데이터베이스명물리데이터베이스명영문 컬럼명한글 컬럼명공개여부데이터기준일자
연번1.0001.0001.0001.0000.1380.1381.0001.000
시스템명1.0001.0001.0001.0001.0001.0001.0001.000
논리데이터베이스명1.0001.0001.0001.0001.0001.0001.0001.000
물리데이터베이스명1.0001.0001.0001.0001.0001.0001.0001.000
영문 컬럼명0.1381.0001.0001.0001.0001.0001.0001.000
한글 컬럼명0.1381.0001.0001.0001.0001.0001.0001.000
공개여부1.0001.0001.0001.0001.0001.0001.0001.000
데이터기준일자1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T13:44:45.632285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:44:45.802349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T13:44:45.978788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번시스템명논리데이터베이스명물리데이터베이스명영문테이블명한글테이블명영문 컬럼명한글 컬럼명공개여부데이터기준일자
01도시계획정보시스템(UPIS)도시계획정보UPISUPIS_C_UQ161지구단위계획구역_현황SIGNGU_SE시군구코드공개2023-08-29
12도시계획정보시스템(UPIS)도시계획정보UPISUPIS_C_UQ141개발제한구역_현황SIGNGU_SE시군구코드공개2023-08-29
23도시계획정보시스템(UPIS)도시계획정보UPISUPIS_C_UQ129개발진흥지구_현황SIGNGU_SE시군구코드공개2023-08-29
34도시계획정보시스템(UPIS)도시계획정보UPISUPIS_C_UQ126보존지구_현황SIGNGU_SE시군구코드공개2023-08-29
45도시계획정보시스템(UPIS)도시계획정보UPISUPIS_C_UQ128취락지구_현황SIGNGU_SE시군구코드공개2023-08-29
56도시계획정보시스템(UPIS)도시계획정보UPISUPIS_C_UQ130특정용도제한지구_현황SIGNGU_SE시군구코드공개2023-08-29
67도시계획정보시스템(UPIS)도시계획정보UPISTN_DSTPLAN_ENCUSE권장용도DESCRIPT비고공개2023-08-29
78도시계획정보시스템(UPIS)도시계획정보UPISTN_DSTPLAN_ENCUSE권장용도PRESENT_SN현황도형 관리번호공개2023-08-29
89도시계획정보시스템(UPIS)도시계획정보UPISTN_DSTPLAN_ENCUSE권장용도TYPE_CODE구분 코드공개2023-08-29
910도시계획정보시스템(UPIS)도시계획정보UPISTN_DSTPLAN_ENCUSE권장용도USE_EXPLANATION용도 설명공개2023-08-29
연번시스템명논리데이터베이스명물리데이터베이스명영문테이블명한글테이블명영문 컬럼명한글 컬럼명공개여부데이터기준일자
589<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
590<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
591<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
592<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
594<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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597<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
598<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

연번시스템명논리데이터베이스명물리데이터베이스명영문테이블명한글테이블명영문 컬럼명한글 컬럼명공개여부데이터기준일자# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>563