Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows34
Duplicate rows (%)0.3%
Total size in memory546.9 KiB
Average record size in memory56.0 B

Variable types

Text6

Dataset

Description대구광역시_소방 긴급구조 소방특정 대상물 정보 현황 * 본 자료는 긴급구조표준시스템에서 추출한 자료로 일부 대상물에 관한 정보만 포함되어 있음 * 일부 데이터에 오류가 있을 수 있으며 참고용으로만 활용가능 * 오류 없는 정밀한 데이터를 확인하기 위해서는 관련부서로 문의 필요
Author공공데이터포털
URLhttps://www.data.go.kr/data/15117285/fileData.do

Alerts

Dataset has 34 (0.3%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-17 09:11:26.092007
Analysis finished2024-04-17 09:11:27.527354
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리부서
Text

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T18:11:27.676186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.8279
Min length3

Characters and Unicode

Total characters88279
Distinct characters76
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row칠성119안전센터
2nd row논공119안전센터
3rd row예방안전과
4th row황금119안전센터
5th row무태119안전센터
ValueCountFrequency (%)
예방안전과 548
 
5.5%
신천119안전센터 494
 
4.9%
성명119안전센터 372
 
3.7%
노원119안전센터 363
 
3.6%
서문로119안전센터 348
 
3.5%
평리119안전센터 338
 
3.4%
송현119안전센터 312
 
3.1%
성서119안전센터 290
 
2.9%
산격119안전센터 285
 
2.9%
다사119안전센터 281
 
2.8%
Other values (41) 6369
63.7%
2024-04-17T18:11:27.996804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 18902
21.4%
전 10450
11.8%
안 10128
11.5%
터 9451
10.7%
9 9451
10.7%
센 9451
10.7%
산 1208
 
1.4%
성 1046
 
1.2%
현 874
 
1.0%
원 735
 
0.8%
Other values (66) 16583
18.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59923
67.9%
Decimal Number 28353
32.1%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 10450
17.4%
안 10128
16.9%
터 9451
15.8%
센 9451
15.8%
산 1208
 
2.0%
성 1046
 
1.7%
현 874
 
1.5%
원 735
 
1.2%
천 704
 
1.2%
덕 668
 
1.1%
Other values (61) 15208
25.4%
Decimal Number
ValueCountFrequency (%)
1 18902
66.7%
9 9451
33.3%
Other Punctuation
ValueCountFrequency (%)
# 1
50.0%
/ 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59923
67.9%
Common 28355
32.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 10450
17.4%
안 10128
16.9%
터 9451
15.8%
센 9451
15.8%
산 1208
 
2.0%
성 1046
 
1.7%
현 874
 
1.5%
원 735
 
1.2%
천 704
 
1.2%
덕 668
 
1.1%
Other values (61) 15208
25.4%
Common
ValueCountFrequency (%)
1 18902
66.7%
9 9451
33.3%
# 1
 
< 0.1%
/ 1
 
< 0.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59923
67.9%
ASCII 28356
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 18902
66.7%
9 9451
33.3%
# 1
 
< 0.1%
/ 1
 
< 0.1%
A 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
전 10450
17.4%
안 10128
16.9%
터 9451
15.8%
센 9451
15.8%
산 1208
 
2.0%
성 1046
 
1.7%
현 874
 
1.5%
원 735
 
1.2%
천 704
 
1.2%
덕 668
 
1.1%
Other values (61) 15208
25.4%

대상물명
Text

Distinct9656
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T18:11:28.225681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length7.6695
Min length1

Characters and Unicode

Total characters76695
Distinct characters940
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9447 ?
Unique (%)94.5%

Sample

1st row대영이엔씨
2nd row제이모텔
3rd row전통문화체험관건물
4th row아르마니건물(황금)
5th row칭따오양꼬치(구.바람막이레스카페)
ValueCountFrequency (%)
건물 519
 
4.4%
명칭없음 112
 
1.0%
공장 39
 
0.3%
제2종근린생활시설 38
 
0.3%
단독주택 37
 
0.3%
외 30
 
0.3%
제1종근린생활시설 26
 
0.2%
신축 18
 
0.2%
1인 17
 
0.1%
대명동 17
 
0.1%
Other values (10321) 10906
92.7%
2024-04-17T18:11:28.567186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
물 2420
 
3.2%
건 2402
 
3.1%
( 2371
 
3.1%
) 2361
 
3.1%
1779
 
2.3%
구 1779
 
2.3%
대 1307
 
1.7%
이 1134
 
1.5%
동 1123
 
1.5%
. 1083
 
1.4%
Other values (930) 58936
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66280
86.4%
Open Punctuation 2376
 
3.1%
Close Punctuation 2366
 
3.1%
Space Separator 1779
 
2.3%
Decimal Number 1697
 
2.2%
Other Punctuation 1129
 
1.5%
Uppercase Letter 770
 
1.0%
Dash Punctuation 180
 
0.2%
Lowercase Letter 97
 
0.1%
Other Symbol 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 2420
 
3.7%
건 2402
 
3.6%
구 1779
 
2.7%
대 1307
 
2.0%
이 1134
 
1.7%
동 1123
 
1.7%
성 1045
 
1.6%
스 874
 
1.3%
주 838
 
1.3%
원 804
 
1.2%
Other values (860) 52554
79.3%
Uppercase Letter
ValueCountFrequency (%)
C 83
10.8%
G 74
 
9.6%
S 69
 
9.0%
K 62
 
8.1%
A 55
 
7.1%
T 54
 
7.0%
B 51
 
6.6%
P 45
 
5.8%
M 43
 
5.6%
L 41
 
5.3%
Other values (14) 193
25.1%
Lowercase Letter
ValueCountFrequency (%)
c 20
20.6%
p 11
11.3%
s 10
10.3%
k 9
9.3%
a 7
 
7.2%
t 6
 
6.2%
l 6
 
6.2%
m 5
 
5.2%
b 3
 
3.1%
g 3
 
3.1%
Other values (9) 17
17.5%
Decimal Number
ValueCountFrequency (%)
1 466
27.5%
2 327
19.3%
3 180
 
10.6%
0 141
 
8.3%
4 121
 
7.1%
5 116
 
6.8%
6 95
 
5.6%
7 90
 
5.3%
9 82
 
4.8%
8 79
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 1083
95.9%
& 21
 
1.9%
: 7
 
0.6%
* 6
 
0.5%
/ 6
 
0.5%
？ 3
 
0.3%
· 1
 
0.1%
# 1
 
0.1%
; 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2371
99.8%
[ 5
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 2361
99.8%
] 5
 
0.2%
Space Separator
ValueCountFrequency (%)
1779
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66300
86.4%
Common 9527
 
12.4%
Latin 868
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 2420
 
3.7%
건 2402
 
3.6%
구 1779
 
2.7%
대 1307
 
2.0%
이 1134
 
1.7%
동 1123
 
1.7%
성 1045
 
1.6%
스 874
 
1.3%
주 838
 
1.3%
원 804
 
1.2%
Other values (861) 52574
79.3%
Latin
ValueCountFrequency (%)
C 83
 
9.6%
G 74
 
8.5%
S 69
 
7.9%
K 62
 
7.1%
A 55
 
6.3%
T 54
 
6.2%
B 51
 
5.9%
P 45
 
5.2%
M 43
 
5.0%
L 41
 
4.7%
Other values (34) 291
33.5%
Common
ValueCountFrequency (%)
( 2371
24.9%
) 2361
24.8%
1779
18.7%
. 1083
11.4%
1 466
 
4.9%
2 327
 
3.4%
3 180
 
1.9%
- 180
 
1.9%
0 141
 
1.5%
4 121
 
1.3%
Other values (15) 518
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66276
86.4%
ASCII 10390
 
13.5%
None 24
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
물 2420
 
3.7%
건 2402
 
3.6%
구 1779
 
2.7%
대 1307
 
2.0%
이 1134
 
1.7%
동 1123
 
1.7%
성 1045
 
1.6%
스 874
 
1.3%
주 838
 
1.3%
원 804
 
1.2%
Other values (859) 52550
79.3%
ASCII
ValueCountFrequency (%)
( 2371
22.8%
) 2361
22.7%
1779
17.1%
. 1083
10.4%
1 466
 
4.5%
2 327
 
3.1%
3 180
 
1.7%
- 180
 
1.7%
0 141
 
1.4%
4 121
 
1.2%
Other values (56) 1381
13.3%
None
ValueCountFrequency (%)
㈜ 20
83.3%
？ 3
 
12.5%
· 1
 
4.2%
Compat Jamo
ValueCountFrequency (%)
ㄹ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

대표상호명
Text

Distinct9656
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T18:11:28.791063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length7.6695
Min length1

Characters and Unicode

Total characters76695
Distinct characters940
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9447 ?
Unique (%)94.5%

Sample

1st row대영이엔씨
2nd row제이모텔
3rd row전통문화체험관건물
4th row아르마니건물(황금)
5th row칭따오양꼬치(구.바람막이레스카페)
ValueCountFrequency (%)
건물 519
 
4.4%
명칭없음 112
 
1.0%
공장 39
 
0.3%
제2종근린생활시설 38
 
0.3%
단독주택 37
 
0.3%
외 30
 
0.3%
제1종근린생활시설 26
 
0.2%
신축 18
 
0.2%
1인 17
 
0.1%
대명동 17
 
0.1%
Other values (10321) 10906
92.7%
2024-04-17T18:11:29.140898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
물 2420
 
3.2%
건 2402
 
3.1%
( 2371
 
3.1%
) 2361
 
3.1%
1779
 
2.3%
구 1779
 
2.3%
대 1307
 
1.7%
이 1134
 
1.5%
동 1123
 
1.5%
. 1083
 
1.4%
Other values (930) 58936
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66280
86.4%
Open Punctuation 2376
 
3.1%
Close Punctuation 2366
 
3.1%
Space Separator 1779
 
2.3%
Decimal Number 1697
 
2.2%
Other Punctuation 1129
 
1.5%
Uppercase Letter 770
 
1.0%
Dash Punctuation 180
 
0.2%
Lowercase Letter 97
 
0.1%
Other Symbol 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 2420
 
3.7%
건 2402
 
3.6%
구 1779
 
2.7%
대 1307
 
2.0%
이 1134
 
1.7%
동 1123
 
1.7%
성 1045
 
1.6%
스 874
 
1.3%
주 838
 
1.3%
원 804
 
1.2%
Other values (860) 52554
79.3%
Uppercase Letter
ValueCountFrequency (%)
C 83
10.8%
G 74
 
9.6%
S 69
 
9.0%
K 62
 
8.1%
A 55
 
7.1%
T 54
 
7.0%
B 51
 
6.6%
P 45
 
5.8%
M 43
 
5.6%
L 41
 
5.3%
Other values (14) 193
25.1%
Lowercase Letter
ValueCountFrequency (%)
c 20
20.6%
p 11
11.3%
s 10
10.3%
k 9
9.3%
a 7
 
7.2%
t 6
 
6.2%
l 6
 
6.2%
m 5
 
5.2%
b 3
 
3.1%
g 3
 
3.1%
Other values (9) 17
17.5%
Decimal Number
ValueCountFrequency (%)
1 466
27.5%
2 327
19.3%
3 180
 
10.6%
0 141
 
8.3%
4 121
 
7.1%
5 116
 
6.8%
6 95
 
5.6%
7 90
 
5.3%
9 82
 
4.8%
8 79
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 1083
95.9%
& 21
 
1.9%
: 7
 
0.6%
* 6
 
0.5%
/ 6
 
0.5%
？ 3
 
0.3%
· 1
 
0.1%
# 1
 
0.1%
; 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2371
99.8%
[ 5
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 2361
99.8%
] 5
 
0.2%
Space Separator
ValueCountFrequency (%)
1779
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66300
86.4%
Common 9527
 
12.4%
Latin 868
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 2420
 
3.7%
건 2402
 
3.6%
구 1779
 
2.7%
대 1307
 
2.0%
이 1134
 
1.7%
동 1123
 
1.7%
성 1045
 
1.6%
스 874
 
1.3%
주 838
 
1.3%
원 804
 
1.2%
Other values (861) 52574
79.3%
Latin
ValueCountFrequency (%)
C 83
 
9.6%
G 74
 
8.5%
S 69
 
7.9%
K 62
 
7.1%
A 55
 
6.3%
T 54
 
6.2%
B 51
 
5.9%
P 45
 
5.2%
M 43
 
5.0%
L 41
 
4.7%
Other values (34) 291
33.5%
Common
ValueCountFrequency (%)
( 2371
24.9%
) 2361
24.8%
1779
18.7%
. 1083
11.4%
1 466
 
4.9%
2 327
 
3.4%
3 180
 
1.9%
- 180
 
1.9%
0 141
 
1.5%
4 121
 
1.3%
Other values (15) 518
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66276
86.4%
ASCII 10390
 
13.5%
None 24
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
물 2420
 
3.7%
건 2402
 
3.6%
구 1779
 
2.7%
대 1307
 
2.0%
이 1134
 
1.7%
동 1123
 
1.7%
성 1045
 
1.6%
스 874
 
1.3%
주 838
 
1.3%
원 804
 
1.2%
Other values (859) 52550
79.3%
ASCII
ValueCountFrequency (%)
( 2371
22.8%
) 2361
22.7%
1779
17.1%
. 1083
10.4%
1 466
 
4.5%
2 327
 
3.1%
3 180
 
1.7%
- 180
 
1.7%
0 141
 
1.4%
4 121
 
1.2%
Other values (56) 1381
13.3%
None
ValueCountFrequency (%)
㈜ 20
83.3%
？ 3
 
12.5%
· 1
 
4.2%
Compat Jamo
ValueCountFrequency (%)
ㄹ 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

도로명
Text

Distinct2216
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T18:11:29.394157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.2264
Min length2

Characters and Unicode

Total characters52264
Distinct characters239
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique824 ?
Unique (%)8.2%

Sample

1st row칠성로
2nd row논공로29길
3rd row칠곡중앙대로
4th row동대구로
5th row호국로43길
ValueCountFrequency (%)
데이터 577
 
5.5%
미집계 577
 
5.5%
달구벌대로 217
 
2.1%
국채보상로 136
 
1.3%
중앙대로 73
 
0.7%
칠곡중앙대로 70
 
0.7%
비슬로 67
 
0.6%
월배로 63
 
0.6%
동대구로 59
 
0.6%
서대구로 55
 
0.5%
Other values (2207) 8683
82.1%
2024-04-17T18:11:29.751131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 8819
 
16.9%
길 5244
 
10.0%
1 1681
 
3.2%
대 1568
 
3.0%
2 1555
 
3.0%
3 1186
 
2.3%
성 1094
 
2.1%
서 1062
 
2.0%
동 1058
 
2.0%
4 1001
 
1.9%
Other values (229) 27996
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42518
81.4%
Decimal Number 9159
 
17.5%
Space Separator 577
 
1.1%
Other Punctuation 8
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 8819
20.7%
길 5244
 
12.3%
대 1568
 
3.7%
성 1094
 
2.6%
서 1062
 
2.5%
동 1058
 
2.5%
달 845
 
2.0%
공 839
 
2.0%
구 797
 
1.9%
이 686
 
1.6%
Other values (216) 20506
48.2%
Decimal Number
ValueCountFrequency (%)
1 1681
18.4%
2 1555
17.0%
3 1186
12.9%
4 1001
10.9%
5 876
9.6%
6 727
7.9%
7 671
 
7.3%
9 522
 
5.7%
8 477
 
5.2%
0 463
 
5.1%
Space Separator
ValueCountFrequency (%)
577
100.0%
Other Punctuation
ValueCountFrequency (%)
· 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42518
81.4%
Common 9746
 
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 8819
20.7%
길 5244
 
12.3%
대 1568
 
3.7%
성 1094
 
2.6%
서 1062
 
2.5%
동 1058
 
2.5%
달 845
 
2.0%
공 839
 
2.0%
구 797
 
1.9%
이 686
 
1.6%
Other values (216) 20506
48.2%
Common
ValueCountFrequency (%)
1 1681
17.2%
2 1555
16.0%
3 1186
12.2%
4 1001
10.3%
5 876
9.0%
6 727
7.5%
7 671
 
6.9%
577
 
5.9%
9 522
 
5.4%
8 477
 
4.9%
Other values (3) 473
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42518
81.4%
ASCII 9738
 
18.6%
None 8
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 8819
20.7%
길 5244
 
12.3%
대 1568
 
3.7%
성 1094
 
2.6%
서 1062
 
2.5%
동 1058
 
2.5%
달 845
 
2.0%
공 839
 
2.0%
구 797
 
1.9%
이 686
 
1.6%
Other values (216) 20506
48.2%
ASCII
ValueCountFrequency (%)
1 1681
17.3%
2 1555
16.0%
3 1186
12.2%
4 1001
10.3%
5 876
9.0%
6 727
7.5%
7 671
 
6.9%
577
 
5.9%
9 522
 
5.4%
8 477
 
4.9%
Other values (2) 465
 
4.8%
None
ValueCountFrequency (%)
· 8
100.0%

대상물X좌표
Text

Distinct3072
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T18:11:30.084850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length7
Mean length7.7001
Min length2

Characters and Unicode

Total characters77001
Distinct characters25
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3027 ?
Unique (%)30.3%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계
ValueCountFrequency (%)
데이터 6865
40.4%
미집계 6865
40.4%
35 61
 
0.4%
52 23
 
0.1%
51 14
 
0.1%
35.8 11
 
0.1%
53 10
 
0.1%
50 8
 
< 0.1%
35.861074 7
 
< 0.1%
3551 5
 
< 0.1%
Other values (3078) 3135
18.4%
2024-04-17T18:11:30.534167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7014
9.1%
데 6865
8.9%
이 6865
8.9%
터 6865
8.9%
미 6865
8.9%
집 6865
8.9%
계 6865
8.9%
5 4802
 
6.2%
3 4458
 
5.8%
8 3515
 
4.6%
Other values (15) 16022
20.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41190
53.5%
Decimal Number 25529
33.2%
Space Separator 7014
 
9.1%
Other Punctuation 3247
 
4.2%
Other Symbol 14
 
< 0.1%
Modifier Symbol 5
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4802
18.8%
3 4458
17.5%
8 3515
13.8%
2 2172
8.5%
1 2088
8.2%
4 1866
 
7.3%
9 1841
 
7.2%
6 1810
 
7.1%
7 1670
 
6.5%
0 1307
 
5.1%
Other Letter
ValueCountFrequency (%)
데 6865
16.7%
이 6865
16.7%
터 6865
16.7%
미 6865
16.7%
집 6865
16.7%
계 6865
16.7%
Other Punctuation
ValueCountFrequency (%)
. 3230
99.5%
′ 14
 
0.4%
* 3
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
` 4
80.0%
¨ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
7014
100.0%
Other Symbol
ValueCountFrequency (%)
° 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41190
53.5%
Common 35810
46.5%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
7014
19.6%
5 4802
13.4%
3 4458
12.4%
8 3515
9.8%
. 3230
9.0%
2 2172
 
6.1%
1 2088
 
5.8%
4 1866
 
5.2%
9 1841
 
5.1%
6 1810
 
5.1%
Other values (8) 3014
8.4%
Hangul
ValueCountFrequency (%)
데 6865
16.7%
이 6865
16.7%
터 6865
16.7%
미 6865
16.7%
집 6865
16.7%
계 6865
16.7%
Latin
ValueCountFrequency (%)
x 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41190
53.5%
ASCII 35782
46.5%
None 15
 
< 0.1%
Punctuation 14
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7014
19.6%
5 4802
13.4%
3 4458
12.5%
8 3515
9.8%
. 3230
9.0%
2 2172
 
6.1%
1 2088
 
5.8%
4 1866
 
5.2%
9 1841
 
5.1%
6 1810
 
5.1%
Other values (6) 2986
8.3%
Hangul
ValueCountFrequency (%)
데 6865
16.7%
이 6865
16.7%
터 6865
16.7%
미 6865
16.7%
집 6865
16.7%
계 6865
16.7%
None
ValueCountFrequency (%)
° 14
93.3%
¨ 1
 
6.7%
Punctuation
ValueCountFrequency (%)
′ 14
100.0%

대상물Y좌표
Text

Distinct3077
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-17T18:11:30.824216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length7
Mean length7.9121
Min length3

Characters and Unicode

Total characters79121
Distinct characters25
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3035 ?
Unique (%)30.3%

Sample

1st row데이터 미집계
2nd row데이터 미집계
3rd row데이터 미집계
4th row데이터 미집계
5th row데이터 미집계
ValueCountFrequency (%)
데이터 6865
40.4%
미집계 6865
40.4%
128 61
 
0.4%
35 24
 
0.1%
37 12
 
0.1%
158.5 9
 
0.1%
32 8
 
< 0.1%
128.591512 7
 
< 0.1%
34 6
 
< 0.1%
31 5
 
< 0.1%
Other values (3084) 3141
18.5%
2024-04-17T18:11:31.286429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7003
 
8.9%
데 6865
 
8.7%
터 6865
 
8.7%
미 6865
 
8.7%
집 6865
 
8.7%
계 6865
 
8.7%
이 6865
 
8.7%
2 4445
 
5.6%
8 4354
 
5.5%
1 4298
 
5.4%
Other values (15) 17831
22.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41190
52.1%
Decimal Number 27665
35.0%
Space Separator 7003
 
8.9%
Other Punctuation 3241
 
4.1%
Other Symbol 14
 
< 0.1%
Modifier Symbol 6
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4445
16.1%
8 4354
15.7%
1 4298
15.5%
5 3061
11.1%
3 2714
9.8%
6 2245
8.1%
4 2119
7.7%
9 1548
 
5.6%
7 1538
 
5.6%
0 1343
 
4.9%
Other Letter
ValueCountFrequency (%)
데 6865
16.7%
터 6865
16.7%
미 6865
16.7%
집 6865
16.7%
계 6865
16.7%
이 6865
16.7%
Other Punctuation
ValueCountFrequency (%)
. 3224
99.5%
′ 14
 
0.4%
* 3
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
` 5
83.3%
¨ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
7003
100.0%
Other Symbol
ValueCountFrequency (%)
° 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
y 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41190
52.1%
Common 37930
47.9%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
7003
18.5%
2 4445
11.7%
8 4354
11.5%
1 4298
11.3%
. 3224
8.5%
5 3061
8.1%
3 2714
 
7.2%
6 2245
 
5.9%
4 2119
 
5.6%
9 1548
 
4.1%
Other values (8) 2919
7.7%
Hangul
ValueCountFrequency (%)
데 6865
16.7%
터 6865
16.7%
미 6865
16.7%
집 6865
16.7%
계 6865
16.7%
이 6865
16.7%
Latin
ValueCountFrequency (%)
y 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41190
52.1%
ASCII 37902
47.9%
None 15
 
< 0.1%
Punctuation 14
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7003
18.5%
2 4445
11.7%
8 4354
11.5%
1 4298
11.3%
. 3224
8.5%
5 3061
8.1%
3 2714
 
7.2%
6 2245
 
5.9%
4 2119
 
5.6%
9 1548
 
4.1%
Other values (6) 2891
7.6%
Hangul
ValueCountFrequency (%)
데 6865
16.7%
터 6865
16.7%
미 6865
16.7%
집 6865
16.7%
계 6865
16.7%
이 6865
16.7%
None
ValueCountFrequency (%)
° 14
93.3%
¨ 1
 
6.7%
Punctuation
ValueCountFrequency (%)
′ 14
100.0%

Missing values

2024-04-17T18:11:27.379117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T18:11:27.467278image/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

관리부서대상물명대표상호명도로명대상물X좌표대상물Y좌표
14602칠성119안전센터대영이엔씨대영이엔씨칠성로데이터 미집계데이터 미집계
20275논공119안전센터제이모텔제이모텔논공로29길데이터 미집계데이터 미집계
53200예방안전과전통문화체험관건물전통문화체험관건물칠곡중앙대로데이터 미집계데이터 미집계
33809황금119안전센터아르마니건물(황금)아르마니건물(황금)동대구로데이터 미집계데이터 미집계
25011무태119안전센터칭따오양꼬치(구.바람막이레스카페)칭따오양꼬치(구.바람막이레스카페)호국로43길데이터 미집계데이터 미집계
57184내당119안전센터맨하탄(정윤암건물)맨하탄(정윤암건물)서대구로5길데이터 미집계데이터 미집계
55494예방안전과함영옥건물함영옥건물학정로데이터 미집계데이터 미집계
62161성명119안전센터가동가동데이터 미집계데이터 미집계데이터 미집계
58609본리119안전센터오일할인마트오일할인마트성당로데이터 미집계데이터 미집계
59600구지119안전센터(주)앤티쏠라글라스(주)앤티쏠라글라스데이터 미집계데이터 미집계데이터 미집계
관리부서대상물명대표상호명도로명대상물X좌표대상물Y좌표
27636평리119안전센터대구은행대평리지점대구은행대평리지점문화로49길데이터 미집계데이터 미집계
28544내당119안전센터비지니스가요주점비지니스가요주점서대구로35.8666043128.5471614
35624비산119안전센터11데이터 미집계데이터 미집계데이터 미집계
3559태전119안전센터프렌즈프렌즈학정로데이터 미집계데이터 미집계
45567현풍119안전센터동양공업사동양공업사데이터 미집계데이터 미집계데이터 미집계
63822평리119안전센터장수고디탕장수고디탕국채보상로53길데이터 미집계데이터 미집계
55065예방안전과이철호건물이철호건물학남로데이터 미집계데이터 미집계
21807무태119안전센터성광제침성광제침환성정길데이터 미집계데이터 미집계
34163대천119안전센터스펀지타운건물스펀지타운건물조암남로32길데이터 미집계데이터 미집계
54259예방안전과정경희외1인건물정경희외1인건물평리로데이터 미집계데이터 미집계

Duplicate rows

Most frequently occurring

관리부서대상물명대표상호명도로명대상물X좌표대상물Y좌표# duplicates
21예방안전과명칭없음명칭없음데이터 미집계데이터 미집계데이터 미집계16
33화원119안전센터명칭없음명칭없음데이터 미집계데이터 미집계데이터 미집계6
6매곡119안전센터명칭없음명칭없음데이터 미집계데이터 미집계데이터 미집계3
12성명119안전센터명칭없음명칭없음대명서7길데이터 미집계데이터 미집계3
0공산119안전센터미륵사미륵사지경길데이터 미집계데이터 미집계2
1노원119안전센터거산기업거산기업노원로1길데이터 미집계데이터 미집계2
2노원119안전센터명칭없음명칭없음데이터 미집계데이터 미집계데이터 미집계2
3노원119안전센터영진기계영진기계3공단로데이터 미집계데이터 미집계2
4대천119안전센터성원정공성원정공성서공단로47길데이터 미집계데이터 미집계2
5도원119안전센터유시혁 건물유시혁 건물상화로3길데이터 미집계데이터 미집계2