Overview

Dataset statistics

Number of variables14
Number of observations162
Missing cells162
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory114.8 B

Variable types

Text6
Categorical6
Unsupported1
DateTime1

Dataset

Description전라남도 나주시의 교통시설(주차장, 철도 등)에 대한 정보를 제공합니다. 해당 데이터는 면적, 위치 구역계 등에 대한 정보를 포함하고 있습니다.
Author전라남도 나주시
URLhttps://www.data.go.kr/data/15123897/fileData.do

Alerts

시군구코드 has constant value ""Constant
집행상태코드 심볼 has constant value ""Constant
현황도형 생성일시 has constant value ""Constant
도형 대분류코드 is highly overall correlated with 도형 중분류코드 and 2 other fieldsHigh correlation
도형 중분류코드 is highly overall correlated with 도형 대분류코드 and 2 other fieldsHigh correlation
도형 속성코드 is highly overall correlated with 도형 대분류코드 and 2 other fieldsHigh correlation
라벨명 is highly overall correlated with 도형 대분류코드 and 2 other fieldsHigh correlation
도형 대분류코드 is highly imbalanced (70.1%)Imbalance
도형 중분류코드 is highly imbalanced (59.7%)Imbalance
도형 속성코드 is highly imbalanced (70.1%)Imbalance
라벨명 is highly imbalanced (70.1%)Imbalance
도형 소분류코드 has 162 (100.0%) missing valuesMissing
현황도형 관리번호 has unique valuesUnique
도형 조서관리코드 has unique valuesUnique
결정고시관리코드 has unique valuesUnique
면적 has unique valuesUnique
도형 소분류코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 07:24:50.723303
Analysis finished2023-12-12 07:24:51.369099
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

현황도형 관리번호
Text

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:24:51.529020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters3888
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)100.0%

Sample

1st row46170UQ152PS202206210147
2nd row46170UQ152PS202206210148
3rd row46170UQ152PS202206210149
4th row46170UQ152PS202206210150
5th row46170UQ152PS202206210151
ValueCountFrequency (%)
46170uq152ps202206210147 1
 
0.6%
46170uq152ps202206210105 1
 
0.6%
46170uq152ps202206210087 1
 
0.6%
46170uq152ps202206210095 1
 
0.6%
46170uq152ps202206210088 1
 
0.6%
46170uq152ps202206210089 1
 
0.6%
46170uq152ps202206210090 1
 
0.6%
46170uq152ps202206210091 1
 
0.6%
46170uq152ps202206210092 1
 
0.6%
46170uq152ps202206210093 1
 
0.6%
Other values (152) 152
93.8%
2023-12-12T16:24:51.832794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 847
21.8%
0 782
20.1%
1 586
15.1%
6 353
9.1%
4 198
 
5.1%
5 198
 
5.1%
7 188
 
4.8%
U 162
 
4.2%
Q 162
 
4.2%
P 162
 
4.2%
Other values (4) 250
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3240
83.3%
Uppercase Letter 648
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 847
26.1%
0 782
24.1%
1 586
18.1%
6 353
10.9%
4 198
 
6.1%
5 198
 
6.1%
7 188
 
5.8%
3 36
 
1.1%
9 26
 
0.8%
8 26
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
U 162
25.0%
Q 162
25.0%
P 162
25.0%
S 162
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3240
83.3%
Latin 648
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 847
26.1%
0 782
24.1%
1 586
18.1%
6 353
10.9%
4 198
 
6.1%
5 198
 
6.1%
7 188
 
5.8%
3 36
 
1.1%
9 26
 
0.8%
8 26
 
0.8%
Latin
ValueCountFrequency (%)
U 162
25.0%
Q 162
25.0%
P 162
25.0%
S 162
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 847
21.8%
0 782
20.1%
1 586
15.1%
6 353
9.1%
4 198
 
5.1%
5 198
 
5.1%
7 188
 
4.8%
U 162
 
4.2%
Q 162
 
4.2%
P 162
 
4.2%
Other values (4) 250
 
6.4%

도형 대분류코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
UQS200
149 
UQS500
 
9
UQS300
 
4

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUQS200
2nd rowUQS500
3rd rowUQS500
4th rowUQS200
5th rowUQS200

Common Values

ValueCountFrequency (%)
UQS200 149
92.0%
UQS500 9
 
5.6%
UQS300 4
 
2.5%

Length

2023-12-12T16:24:51.962055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:24:52.059287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
uqs200 149
92.0%
uqs500 9
 
5.6%
uqs300 4
 
2.5%

도형 중분류코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
UQS210
149 
<NA>
 
13

Length

Max length6
Median length6
Mean length5.8395062
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUQS210
2nd row<NA>
3rd row<NA>
4th rowUQS210
5th rowUQS210

Common Values

ValueCountFrequency (%)
UQS210 149
92.0%
<NA> 13
 
8.0%

Length

2023-12-12T16:24:52.170194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:24:52.294718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
uqs210 149
92.0%
na 13
 
8.0%

도형 소분류코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing162
Missing (%)100.0%
Memory size1.6 KiB

도형 속성코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
UQS210
149 
UQS500
 
9
UQS300
 
4

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUQS210
2nd rowUQS500
3rd rowUQS500
4th rowUQS210
5th rowUQS210

Common Values

ValueCountFrequency (%)
UQS210 149
92.0%
UQS500 9
 
5.6%
UQS300 4
 
2.5%

Length

2023-12-12T16:24:52.401668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:24:52.486776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
uqs210 149
92.0%
uqs500 9
 
5.6%
uqs300 4
 
2.5%

도형 조서관리코드
Text

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:24:52.634381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3240
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)100.0%

Sample

1st row46170URZ202206210147
2nd row46170URZ202206210148
3rd row46170URZ202206210149
4th row46170URZ202206210150
5th row46170URZ202206210151
ValueCountFrequency (%)
46170urz202206210147 1
 
0.6%
46170urz202206210105 1
 
0.6%
46170urz202206210087 1
 
0.6%
46170urz202206210095 1
 
0.6%
46170urz202206210088 1
 
0.6%
46170urz202206210089 1
 
0.6%
46170urz202206210090 1
 
0.6%
46170urz202206210091 1
 
0.6%
46170urz202206210092 1
 
0.6%
46170urz202206210093 1
 
0.6%
Other values (152) 152
93.8%
2023-12-12T16:24:52.927275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 782
24.1%
2 685
21.1%
1 424
13.1%
6 353
10.9%
4 198
 
6.1%
7 188
 
5.8%
U 162
 
5.0%
R 162
 
5.0%
Z 162
 
5.0%
5 36
 
1.1%
Other values (3) 88
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2754
85.0%
Uppercase Letter 486
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 782
28.4%
2 685
24.9%
1 424
15.4%
6 353
12.8%
4 198
 
7.2%
7 188
 
6.8%
5 36
 
1.3%
3 36
 
1.3%
9 26
 
0.9%
8 26
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
U 162
33.3%
R 162
33.3%
Z 162
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 2754
85.0%
Latin 486
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 782
28.4%
2 685
24.9%
1 424
15.4%
6 353
12.8%
4 198
 
7.2%
7 188
 
6.8%
5 36
 
1.3%
3 36
 
1.3%
9 26
 
0.9%
8 26
 
0.9%
Latin
ValueCountFrequency (%)
U 162
33.3%
R 162
33.3%
Z 162
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 782
24.1%
2 685
21.1%
1 424
13.1%
6 353
10.9%
4 198
 
6.1%
7 188
 
5.8%
U 162
 
5.0%
R 162
 
5.0%
Z 162
 
5.0%
5 36
 
1.1%
Other values (3) 88
 
2.7%

결정고시관리코드
Text

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:24:53.110816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3240
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)100.0%

Sample

1st row46170NTC202206210147
2nd row46170NTC202206210148
3rd row46170NTC202206210149
4th row46170NTC202206210150
5th row46170NTC202206210151
ValueCountFrequency (%)
46170ntc202206210147 1
 
0.6%
46170ntc202206210105 1
 
0.6%
46170ntc202206210087 1
 
0.6%
46170ntc202206210095 1
 
0.6%
46170ntc202206210088 1
 
0.6%
46170ntc202206210089 1
 
0.6%
46170ntc202206210090 1
 
0.6%
46170ntc202206210091 1
 
0.6%
46170ntc202206210092 1
 
0.6%
46170ntc202206210093 1
 
0.6%
Other values (152) 152
93.8%
2023-12-12T16:24:53.398398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 782
24.1%
2 685
21.1%
1 424
13.1%
6 353
10.9%
4 198
 
6.1%
7 188
 
5.8%
N 162
 
5.0%
T 162
 
5.0%
C 162
 
5.0%
5 36
 
1.1%
Other values (3) 88
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2754
85.0%
Uppercase Letter 486
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 782
28.4%
2 685
24.9%
1 424
15.4%
6 353
12.8%
4 198
 
7.2%
7 188
 
6.8%
5 36
 
1.3%
3 36
 
1.3%
9 26
 
0.9%
8 26
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
N 162
33.3%
T 162
33.3%
C 162
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 2754
85.0%
Latin 486
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 782
28.4%
2 685
24.9%
1 424
15.4%
6 353
12.8%
4 198
 
7.2%
7 188
 
6.8%
5 36
 
1.3%
3 36
 
1.3%
9 26
 
0.9%
8 26
 
0.9%
Latin
ValueCountFrequency (%)
N 162
33.3%
T 162
33.3%
C 162
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 782
24.1%
2 685
21.1%
1 424
13.1%
6 353
10.9%
4 198
 
6.1%
7 188
 
5.8%
N 162
 
5.0%
T 162
 
5.0%
C 162
 
5.0%
5 36
 
1.1%
Other values (3) 88
 
2.7%

라벨명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
노외주차장
149 
철도
 
9
자동차정류장
 
4

Length

Max length6
Median length5
Mean length4.8580247
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노외주차장
2nd row철도
3rd row철도
4th row노외주차장
5th row노외주차장

Common Values

ValueCountFrequency (%)
노외주차장 149
92.0%
철도 9
 
5.6%
자동차정류장 4
 
2.5%

Length

2023-12-12T16:24:53.528429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:24:53.622474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외주차장 149
92.0%
철도 9
 
5.6%
자동차정류장 4
 
2.5%

면적
Text

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:24:53.941897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.2283951
Min length4

Characters and Unicode

Total characters1171
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)100.0%

Sample

1st row551.47㎡
2nd row27593.18㎡
3rd row56287.64㎡
4th row792.08㎡
5th row866.54㎡
ValueCountFrequency (%)
551.47㎡ 1
 
0.6%
45387.51㎡ 1
 
0.6%
251.4㎡ 1
 
0.6%
350.8㎡ 1
 
0.6%
199.85㎡ 1
 
0.6%
214.94㎡ 1
 
0.6%
401.76㎡ 1
 
0.6%
303.2㎡ 1
 
0.6%
325.27㎡ 1
 
0.6%
214.28㎡ 1
 
0.6%
Other values (152) 152
93.8%
2023-12-12T16:24:54.417416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 162
13.8%
. 161
13.7%
2 135
11.5%
1 110
9.4%
4 85
7.3%
3 85
7.3%
0 81
6.9%
8 78
6.7%
5 72
6.1%
9 72
6.1%
Other values (2) 130
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 848
72.4%
Other Symbol 162
 
13.8%
Other Punctuation 161
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 135
15.9%
1 110
13.0%
4 85
10.0%
3 85
10.0%
0 81
9.6%
8 78
9.2%
5 72
8.5%
9 72
8.5%
6 68
8.0%
7 62
7.3%
Other Symbol
ValueCountFrequency (%)
㎡ 162
100.0%
Other Punctuation
ValueCountFrequency (%)
. 161
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1171
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 162
13.8%
. 161
13.7%
2 135
11.5%
1 110
9.4%
4 85
7.3%
3 85
7.3%
0 81
6.9%
8 78
6.7%
5 72
6.1%
9 72
6.1%
Other values (2) 130
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1009
86.2%
CJK Compat 162
 
13.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 162
100.0%
ASCII
ValueCountFrequency (%)
. 161
16.0%
2 135
13.4%
1 110
10.9%
4 85
8.4%
3 85
8.4%
0 81
8.0%
8 78
7.7%
5 72
7.1%
9 72
7.1%
6 68
6.7%

길이
Text

Distinct156
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:24:54.768885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.4012346
Min length4

Characters and Unicode

Total characters1037
Distinct characters12
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

Unique150 ?
Unique (%)92.6%

Sample

1st row112.54m
2nd row4454.31m
3rd row9281.47m
4th row108.3m
5th row113.26m
ValueCountFrequency (%)
57.41m 2
 
1.2%
114.96m 2
 
1.2%
56.37m 2
 
1.2%
57.46m 2
 
1.2%
68.35m 2
 
1.2%
113.47m 2
 
1.2%
56.02m 1
 
0.6%
112.54m 1
 
0.6%
74.27m 1
 
0.6%
98.91m 1
 
0.6%
Other values (146) 146
90.1%
2023-12-12T16:24:55.257305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 162
15.6%
. 159
15.3%
1 123
11.9%
6 87
8.4%
5 84
8.1%
7 72
6.9%
4 72
6.9%
2 69
6.7%
8 63
 
6.1%
3 61
 
5.9%
Other values (2) 85
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 716
69.0%
Lowercase Letter 162
 
15.6%
Other Punctuation 159
 
15.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 123
17.2%
6 87
12.2%
5 84
11.7%
7 72
10.1%
4 72
10.1%
2 69
9.6%
8 63
8.8%
3 61
8.5%
9 58
8.1%
0 27
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
m 162
100.0%
Other Punctuation
ValueCountFrequency (%)
. 159
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 875
84.4%
Latin 162
 
15.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 159
18.2%
1 123
14.1%
6 87
9.9%
5 84
9.6%
7 72
8.2%
4 72
8.2%
2 69
7.9%
8 63
 
7.2%
3 61
 
7.0%
9 58
 
6.6%
Latin
ValueCountFrequency (%)
m 162
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1037
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 162
15.6%
. 159
15.3%
1 123
11.9%
6 87
8.4%
5 84
8.1%
7 72
6.9%
4 72
6.9%
2 69
6.7%
8 63
 
6.1%
3 61
 
5.9%
Other values (2) 85
8.2%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
46170
162 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46170
2nd row46170
3rd row46170
4th row46170
5th row46170

Common Values

ValueCountFrequency (%)
46170 162
100.0%

Length

2023-12-12T16:24:55.375776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:24:55.464926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46170 162
100.0%

도면번호
Text

Distinct133
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T16:24:55.715742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters1296
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)67.3%

Sample

1st row0050-003
2nd row0001-003
3rd row0001-004
4th row0003-001
5th row0010-001
ValueCountFrequency (%)
0001-001 4
 
2.5%
0001-000 3
 
1.9%
0002-000 3
 
1.9%
0003-001 3
 
1.9%
0013-000 2
 
1.2%
0006-001 2
 
1.2%
0015-000 2
 
1.2%
0001-005 2
 
1.2%
0004-000 2
 
1.2%
0050-000 2
 
1.2%
Other values (123) 137
84.6%
2023-12-12T16:24:56.192902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 798
61.6%
- 162
 
12.5%
1 106
 
8.2%
2 52
 
4.0%
3 41
 
3.2%
5 31
 
2.4%
4 30
 
2.3%
7 22
 
1.7%
6 21
 
1.6%
8 19
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1134
87.5%
Dash Punctuation 162
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 798
70.4%
1 106
 
9.3%
2 52
 
4.6%
3 41
 
3.6%
5 31
 
2.7%
4 30
 
2.6%
7 22
 
1.9%
6 21
 
1.9%
8 19
 
1.7%
9 14
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 798
61.6%
- 162
 
12.5%
1 106
 
8.2%
2 52
 
4.0%
3 41
 
3.2%
5 31
 
2.4%
4 30
 
2.3%
7 22
 
1.7%
6 21
 
1.6%
8 19
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 798
61.6%
- 162
 
12.5%
1 106
 
8.2%
2 52
 
4.0%
3 41
 
3.2%
5 31
 
2.4%
4 30
 
2.3%
7 22
 
1.7%
6 21
 
1.6%
8 19
 
1.5%

집행상태코드 심볼
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
EMA0001
162 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEMA0001
2nd rowEMA0001
3rd rowEMA0001
4th rowEMA0001
5th rowEMA0001

Common Values

ValueCountFrequency (%)
EMA0001 162
100.0%

Length

2023-12-12T16:24:56.369480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:24:56.505492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ema0001 162
100.0%

현황도형 생성일시
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2022-06-21 00:00:00
Maximum2022-06-21 00:00:00
2023-12-12T16:24:56.607399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:24:56.706905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T16:24:56.781728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도형 대분류코드도형 속성코드라벨명
도형 대분류코드1.0001.0001.000
도형 속성코드1.0001.0001.000
라벨명1.0001.0001.000
2023-12-12T16:24:56.885160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도형 대분류코드도형 중분류코드도형 속성코드라벨명
도형 대분류코드1.0001.0001.0001.000
도형 중분류코드1.0001.0001.0001.000
도형 속성코드1.0001.0001.0001.000
라벨명1.0001.0001.0001.000
2023-12-12T16:24:56.983199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도형 대분류코드도형 중분류코드도형 속성코드라벨명
도형 대분류코드1.0001.0001.0001.000
도형 중분류코드1.0001.0001.0001.000
도형 속성코드1.0001.0001.0001.000
라벨명1.0001.0001.0001.000

Missing values

2023-12-12T16:24:51.106293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:24:51.282854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

현황도형 관리번호도형 대분류코드도형 중분류코드도형 소분류코드도형 속성코드도형 조서관리코드결정고시관리코드라벨명면적길이시군구코드도면번호집행상태코드 심볼현황도형 생성일시
046170UQ152PS202206210147UQS200UQS210<NA>UQS21046170URZ20220621014746170NTC202206210147노외주차장551.47㎡112.54m461700050-003EMA00012022-06-21
146170UQ152PS202206210148UQS500<NA><NA>UQS50046170URZ20220621014846170NTC202206210148철도27593.18㎡4454.31m461700001-003EMA00012022-06-21
246170UQ152PS202206210149UQS500<NA><NA>UQS50046170URZ20220621014946170NTC202206210149철도56287.64㎡9281.47m461700001-004EMA00012022-06-21
346170UQ152PS202206210150UQS200UQS210<NA>UQS21046170URZ20220621015046170NTC202206210150노외주차장792.08㎡108.3m461700003-001EMA00012022-06-21
446170UQ152PS202206210151UQS200UQS210<NA>UQS21046170URZ20220621015146170NTC202206210151노외주차장866.54㎡113.26m461700010-001EMA00012022-06-21
546170UQ152PS202206210152UQS200UQS210<NA>UQS21046170URZ20220621015246170NTC202206210152노외주차장866.99㎡113.29m461700009-001EMA00012022-06-21
646170UQ152PS202206210153UQS200UQS210<NA>UQS21046170URZ20220621015346170NTC202206210153노외주차장868.51㎡113.47m461700007-001EMA00012022-06-21
746170UQ152PS202206210154UQS500<NA><NA>UQS50046170URZ20220621015446170NTC202206210154철도34519.54㎡4012.38m461700001-000EMA00012022-06-21
846170UQ152PS202206210155UQS500<NA><NA>UQS50046170URZ20220621015546170NTC202206210155철도60169.46㎡9352.38m461700002-001EMA00012022-06-21
946170UQ152PS202206210156UQS200UQS210<NA>UQS21046170URZ20220621015646170NTC202206210156노외주차장680.26㎡103.05m461700002-004EMA00012022-06-21
현황도형 관리번호도형 대분류코드도형 중분류코드도형 소분류코드도형 속성코드도형 조서관리코드결정고시관리코드라벨명면적길이시군구코드도면번호집행상태코드 심볼현황도형 생성일시
15246170UQ152PS202206210137UQS200UQS210<NA>UQS21046170URZ20220621013746170NTC202206210137노외주차장824.42㎡114.96m461700020-001EMA00012022-06-21
15346170UQ152PS202206210138UQS200UQS210<NA>UQS21046170URZ20220621013846170NTC202206210138노외주차장824.1㎡114.94m461700029-001EMA00012022-06-21
15446170UQ152PS202206210139UQS200UQS210<NA>UQS21046170URZ20220621013946170NTC202206210139노외주차장806.25㎡112.8m461700028-001EMA00012022-06-21
15546170UQ152PS202206210140UQS200UQS210<NA>UQS21046170URZ20220621014046170NTC202206210140노외주차장792.65㎡112.14m461700025-001EMA00012022-06-21
15646170UQ152PS202206210141UQS200UQS210<NA>UQS21046170URZ20220621014146170NTC202206210141노외주차장824.95㎡115m461700030-001EMA00012022-06-21
15746170UQ152PS202206210142UQS200UQS210<NA>UQS21046170URZ20220621014246170NTC202206210142노외주차장823.44㎡114.89m461700026-001EMA00012022-06-21
15846170UQ152PS202206210143UQS200UQS210<NA>UQS21046170URZ20220621014346170NTC202206210143노외주차장790.63㎡112.45m461700027-001EMA00012022-06-21
15946170UQ152PS202206210144UQS200UQS210<NA>UQS21046170URZ20220621014446170NTC202206210144노외주차장1166.83㎡139.66m461700035-001EMA00012022-06-21
16046170UQ152PS202206210145UQS200UQS210<NA>UQS21046170URZ20220621014546170NTC202206210145노외주차장1638.85㎡159.37m461700039-001EMA00012022-06-21
16146170UQ152PS202206210146UQS200UQS210<NA>UQS21046170URZ20220621014646170NTC202206210146노외주차장377.34㎡76.72m461700050-002EMA00012022-06-21