Overview

Dataset statistics

Number of variables15
Number of observations491
Missing cells276
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.6 KiB
Average record size in memory122.3 B

Variable types

Numeric2
Text9
DateTime2
Categorical2

Alerts

last_load_dttm has constant value ""Constant
skey is highly overall correlated with ntt_noHigh correlation
ntt_no is highly overall correlated with skeyHigh correlation
cn has 33 (6.7%) missing valuesMissing
ty3_ingye has 109 (22.2%) missing valuesMissing
ty3_insu has 134 (27.3%) missing valuesMissing
skey has unique valuesUnique
ntt_no has unique valuesUnique
ty3_picture has unique valuesUnique

Reproduction

Analysis started2023-12-10 07:07:04.466113
Analysis finished2023-12-10 07:07:11.393179
Duration6.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct491
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean523208
Minimum522963
Maximum523453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-10T16:07:11.550084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum522963
5-th percentile522987.5
Q1523085.5
median523208
Q3523330.5
95-th percentile523428.5
Maximum523453
Range490
Interquartile range (IQR)245

Descriptive statistics

Standard deviation141.88376
Coefficient of variation (CV)0.0002711804
Kurtosis-1.2
Mean523208
Median Absolute Deviation (MAD)123
Skewness0
Sum2.5689513 × 108
Variance20131
MonotonicityNot monotonic
2023-12-10T16:07:11.879290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
523407 1
 
0.2%
523097 1
 
0.2%
523095 1
 
0.2%
523094 1
 
0.2%
523093 1
 
0.2%
523092 1
 
0.2%
523147 1
 
0.2%
523146 1
 
0.2%
523145 1
 
0.2%
523144 1
 
0.2%
Other values (481) 481
98.0%
ValueCountFrequency (%)
522963 1
0.2%
522964 1
0.2%
522965 1
0.2%
522966 1
0.2%
522967 1
0.2%
522968 1
0.2%
522969 1
0.2%
522970 1
0.2%
522971 1
0.2%
522972 1
0.2%
ValueCountFrequency (%)
523453 1
0.2%
523452 1
0.2%
523451 1
0.2%
523450 1
0.2%
523449 1
0.2%
523448 1
0.2%
523447 1
0.2%
523446 1
0.2%
523445 1
0.2%
523444 1
0.2%

ntt_no
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct491
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1498408.9
Minimum1416641
Maximum1578031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-10T16:07:12.205649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1416641
5-th percentile1424640
Q11461236.5
median1504029
Q31536692
95-th percentile1567433.5
Maximum1578031
Range161390
Interquartile range (IQR)75455.5

Descriptive statistics

Standard deviation45604.806
Coefficient of variation (CV)0.030435488
Kurtosis-1.1115318
Mean1498408.9
Median Absolute Deviation (MAD)36590
Skewness-0.12229256
Sum7.3571877 × 108
Variance2.0797983 × 109
MonotonicityNot monotonic
2023-12-10T16:07:12.615577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1518847 1
 
0.2%
1462985 1
 
0.2%
1463041 1
 
0.2%
1463127 1
 
0.2%
1463163 1
 
0.2%
1463689 1
 
0.2%
1509125 1
 
0.2%
1509637 1
 
0.2%
1510086 1
 
0.2%
1510524 1
 
0.2%
Other values (481) 481
98.0%
ValueCountFrequency (%)
1416641 1
0.2%
1416989 1
0.2%
1417385 1
0.2%
1418564 1
0.2%
1418700 1
0.2%
1418756 1
0.2%
1418789 1
0.2%
1418959 1
0.2%
1419203 1
0.2%
1419311 1
0.2%
ValueCountFrequency (%)
1578031 1
0.2%
1577678 1
0.2%
1576992 1
0.2%
1576580 1
0.2%
1576578 1
0.2%
1576517 1
0.2%
1576487 1
0.2%
1576473 1
0.2%
1575790 1
0.2%
1574083 1
0.2%

sj
Text

Distinct490
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T16:07:13.205398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length54
Mean length36.386965
Min length12

Characters and Unicode

Total characters17866
Distinct characters416
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique489 ?
Unique (%)99.6%

Sample

1st row('22.02.03.) 북구 만덕동 만덕119안전센터 앞 도로변
2nd row2022.02.03.(목) 기장군 기장읍 차성남로 8-19
3rd row2022.02.02(수) 기장군 일광면 원리 116-1
4th row2022.01.29(토) 기장군 정관읍 모전리 738-8
5th row2022년 1월25일 연지동 국립국악원 일대
ValueCountFrequency (%)
212
 
6.7%
인근 61
 
1.9%
개 58
 
1.8%
앞 50
 
1.6%
부근 47
 
1.5%
유기견 43
 
1.4%
2020년 34
 
1.1%
강서구 28
 
0.9%
사하구 25
 
0.8%
기장군 23
 
0.7%
Other values (1724) 2572
81.6%
2023-12-10T16:07:14.079159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2720
 
15.2%
2 1555
 
8.7%
0 1431
 
8.0%
1 1084
 
6.1%
. 1041
 
5.8%
동 428
 
2.4%
) 399
 
2.2%
( 398
 
2.2%
3 394
 
2.2%
/ 313
 
1.8%
Other values (406) 8103
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6603
37.0%
Decimal Number 5902
33.0%
Space Separator 2720
15.2%
Other Punctuation 1572
 
8.8%
Close Punctuation 399
 
2.2%
Open Punctuation 398
 
2.2%
Dash Punctuation 243
 
1.4%
Uppercase Letter 21
 
0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 428
 
6.5%
구 240
 
3.6%
경 163
 
2.5%
일 160
 
2.4%
대 144
 
2.2%
개 144
 
2.2%
근 127
 
1.9%
견 118
 
1.8%
시 111
 
1.7%
리 109
 
1.7%
Other values (369) 4859
73.6%
Uppercase Letter
ValueCountFrequency (%)
C 4
19.0%
U 3
14.3%
G 3
14.3%
A 2
9.5%
M 2
9.5%
L 2
9.5%
F 1
 
4.8%
E 1
 
4.8%
S 1
 
4.8%
I 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 1555
26.3%
0 1431
24.2%
1 1084
18.4%
3 394
 
6.7%
5 294
 
5.0%
4 274
 
4.6%
9 234
 
4.0%
6 217
 
3.7%
7 211
 
3.6%
8 208
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 1041
66.2%
/ 313
 
19.9%
: 194
 
12.3%
, 20
 
1.3%
' 2
 
0.1%
! 1
 
0.1%
@ 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
k 2
40.0%
n 1
20.0%
Space Separator
ValueCountFrequency (%)
2720
100.0%
Close Punctuation
ValueCountFrequency (%)
) 399
100.0%
Open Punctuation
ValueCountFrequency (%)
( 398
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 243
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11237
62.9%
Hangul 6603
37.0%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 428
 
6.5%
구 240
 
3.6%
경 163
 
2.5%
일 160
 
2.4%
대 144
 
2.2%
개 144
 
2.2%
근 127
 
1.9%
견 118
 
1.8%
시 111
 
1.7%
리 109
 
1.7%
Other values (369) 4859
73.6%
Common
ValueCountFrequency (%)
2720
24.2%
2 1555
13.8%
0 1431
12.7%
1 1084
 
9.6%
. 1041
 
9.3%
) 399
 
3.6%
( 398
 
3.5%
3 394
 
3.5%
/ 313
 
2.8%
5 294
 
2.6%
Other values (13) 1608
14.3%
Latin
ValueCountFrequency (%)
C 4
15.4%
U 3
11.5%
G 3
11.5%
A 2
7.7%
M 2
7.7%
L 2
7.7%
s 2
7.7%
k 2
7.7%
n 1
 
3.8%
F 1
 
3.8%
Other values (4) 4
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11263
63.0%
Hangul 6603
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2720
24.1%
2 1555
13.8%
0 1431
12.7%
1 1084
 
9.6%
. 1041
 
9.2%
) 399
 
3.5%
( 398
 
3.5%
3 394
 
3.5%
/ 313
 
2.8%
5 294
 
2.6%
Other values (27) 1634
14.5%
Hangul
ValueCountFrequency (%)
동 428
 
6.5%
구 240
 
3.6%
경 163
 
2.5%
일 160
 
2.4%
대 144
 
2.2%
개 144
 
2.2%
근 127
 
1.9%
견 118
 
1.8%
시 111
 
1.7%
리 109
 
1.7%
Other values (369) 4859
73.6%

wrter
Text

Distinct235
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T16:07:14.740158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9755601
Min length2

Characters and Unicode

Total characters1461
Distinct characters129
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

Unique128 ?
Unique (%)26.1%

Sample

1st row신서원
2nd row안기수
3rd row김효준
4th row김효준
5th row조동희
ValueCountFrequency (%)
정우현 12
 
2.4%
박성현 11
 
2.2%
이윤호 10
 
2.0%
홍진수 9
 
1.8%
이현구 9
 
1.8%
이현 7
 
1.4%
정석용 7
 
1.4%
천대근 6
 
1.2%
류황열 6
 
1.2%
정해완 6
 
1.2%
Other values (225) 408
83.1%
2023-12-10T16:07:15.561355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 112
 
7.7%
현 74
 
5.1%
이 73
 
5.0%
정 54
 
3.7%
민 44
 
3.0%
준 42
 
2.9%
박 42
 
2.9%
우 41
 
2.8%
진 40
 
2.7%
성 39
 
2.7%
Other values (119) 900
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1461
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 112
 
7.7%
현 74
 
5.1%
이 73
 
5.0%
정 54
 
3.7%
민 44
 
3.0%
준 42
 
2.9%
박 42
 
2.9%
우 41
 
2.8%
진 40
 
2.7%
성 39
 
2.7%
Other values (119) 900
61.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1461
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 112
 
7.7%
현 74
 
5.1%
이 73
 
5.0%
정 54
 
3.7%
민 44
 
3.0%
준 42
 
2.9%
박 42
 
2.9%
우 41
 
2.8%
진 40
 
2.7%
성 39
 
2.7%
Other values (119) 900
61.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1461
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 112
 
7.7%
현 74
 
5.1%
이 73
 
5.0%
정 54
 
3.7%
민 44
 
3.0%
준 42
 
2.9%
박 42
 
2.9%
우 41
 
2.8%
진 40
 
2.7%
성 39
 
2.7%
Other values (119) 900
61.6%

writng_de
Date

Distinct413
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2020-01-06 00:00:00
Maximum2023-08-29 00:00:00
2023-12-10T16:07:15.819028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T16:07:16.064020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

cn
Text

MISSING 

Distinct458
Distinct (%)100.0%
Missing33
Missing (%)6.7%
Memory size4.0 KiB
2023-12-10T16:07:16.612344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length267
Median length120
Mean length68.831878
Min length4

Characters and Unicode

Total characters31525
Distinct characters619
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique458 ?
Unique (%)100.0%

Sample

1st row2022.02.03.목요일 21:00경 오토바이 배달원이 만덕센터 근처 도로변에서 발견했다며 데리고 옴. 외관상 목줄이나 이름표 등 주인을 확인할 수 있는 사항 발견치 못함.
2nd row2022.02.03(목) 기장군 차성남로 8-19 LH대라빌 앞에서 포획하여 유기동물보호센터(051-701-7599)에 인계했습니다.
3rd row2022.02.02(수) 기장군 일광면 원리 116-1 군민체육공원 농구장 인근에서 포획하여 누리동물병원 양동민(051-701-7599)에 인계했습니다.
4th row2022.01.29(토) 기장군 정관읍 모전리 738-8 인근에서 포획하여 누리동물병원 강현명(051-701-7599)에 인계했습니다.
5th row구조대에 신고한 신고자가 연지동 국립국악원 일대에서 포획하여 부산진구조대로 인계한 상황으로 리더기를 이용해 칩을 확인하였으나 감지가 되지않아 부산진구청에 인계한 사항.
ValueCountFrequency (%)
포획 147
 
2.3%
인계 96
 
1.5%
인계함 87
 
1.4%
후 82
 
1.3%
76
 
1.2%
개 61
 
1.0%
받고 49
 
0.8%
인근 49
 
0.8%
포획하여 45
 
0.7%
신고를 44
 
0.7%
Other values (2889) 5577
88.3%
2023-12-10T16:07:17.534619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6630
 
21.0%
1 866
 
2.7%
. 803
 
2.5%
0 774
 
2.5%
2 759
 
2.4%
에 579
 
1.8%
동 542
 
1.7%
인 526
 
1.7%
고 390
 
1.2%
하 386
 
1.2%
Other values (609) 19270
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19262
61.1%
Space Separator 6630
 
21.0%
Decimal Number 3702
 
11.7%
Other Punctuation 1106
 
3.5%
Close Punctuation 266
 
0.8%
Open Punctuation 266
 
0.8%
Dash Punctuation 241
 
0.8%
Uppercase Letter 21
 
0.1%
Lowercase Letter 19
 
0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 579
 
3.0%
동 542
 
2.8%
인 526
 
2.7%
고 390
 
2.0%
하 386
 
2.0%
구 369
 
1.9%
서 333
 
1.7%
포 327
 
1.7%
이 324
 
1.7%
계 314
 
1.6%
Other values (557) 15172
78.8%
Uppercase Letter
ValueCountFrequency (%)
G 4
19.0%
L 3
14.3%
S 3
14.3%
T 2
9.5%
B 1
 
4.8%
C 1
 
4.8%
F 1
 
4.8%
I 1
 
4.8%
A 1
 
4.8%
M 1
 
4.8%
Other values (3) 3
14.3%
Other Punctuation
ValueCountFrequency (%)
. 803
72.6%
: 160
 
14.5%
, 87
 
7.9%
/ 43
 
3.9%
* 3
 
0.3%
! 2
 
0.2%
' 2
 
0.2%
" 2
 
0.2%
※ 2
 
0.2%
; 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 866
23.4%
0 774
20.9%
2 759
20.5%
9 234
 
6.3%
5 227
 
6.1%
3 227
 
6.1%
7 179
 
4.8%
4 168
 
4.5%
6 140
 
3.8%
8 128
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
k 5
26.3%
s 4
21.1%
m 3
15.8%
g 2
 
10.5%
n 1
 
5.3%
e 1
 
5.3%
o 1
 
5.3%
i 1
 
5.3%
l 1
 
5.3%
Math Symbol
ValueCountFrequency (%)
> 8
66.7%
~ 3
 
25.0%
→ 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 265
99.6%
] 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 265
99.6%
[ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
6630
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 241
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19262
61.1%
Common 12223
38.8%
Latin 40
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 579
 
3.0%
동 542
 
2.8%
인 526
 
2.7%
고 390
 
2.0%
하 386
 
2.0%
구 369
 
1.9%
서 333
 
1.7%
포 327
 
1.7%
이 324
 
1.7%
계 314
 
1.6%
Other values (557) 15172
78.8%
Common
ValueCountFrequency (%)
6630
54.2%
1 866
 
7.1%
. 803
 
6.6%
0 774
 
6.3%
2 759
 
6.2%
) 265
 
2.2%
( 265
 
2.2%
- 241
 
2.0%
9 234
 
1.9%
5 227
 
1.9%
Other values (20) 1159
 
9.5%
Latin
ValueCountFrequency (%)
k 5
12.5%
G 4
 
10.0%
s 4
 
10.0%
L 3
 
7.5%
m 3
 
7.5%
S 3
 
7.5%
g 2
 
5.0%
T 2
 
5.0%
B 1
 
2.5%
C 1
 
2.5%
Other values (12) 12
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19262
61.1%
ASCII 12260
38.9%
Punctuation 2
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6630
54.1%
1 866
 
7.1%
. 803
 
6.5%
0 774
 
6.3%
2 759
 
6.2%
) 265
 
2.2%
( 265
 
2.2%
- 241
 
2.0%
9 234
 
1.9%
5 227
 
1.9%
Other values (40) 1196
 
9.8%
Hangul
ValueCountFrequency (%)
에 579
 
3.0%
동 542
 
2.8%
인 526
 
2.7%
고 390
 
2.0%
하 386
 
2.0%
구 369
 
1.9%
서 333
 
1.7%
포 327
 
1.7%
이 324
 
1.7%
계 314
 
1.6%
Other values (557) 15172
78.8%
Punctuation
ValueCountFrequency (%)
※ 2
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

ty3_date
Text

Distinct427
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T16:07:18.067564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length23
Mean length8.3217923
Min length3

Characters and Unicode

Total characters4086
Distinct characters43
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

Unique378 ?
Unique (%)77.0%

Sample

1st row약 21:00경
2nd row15:34
3rd row2022.02.02 15:45
4th row2022.01.29 14:05
5th row21시35분경
ValueCountFrequency (%)
경 48
 
6.6%
30분 10
 
1.4%
19시 6
 
0.8%
6
 
0.8%
오전 6
 
0.8%
14:00 6
 
0.8%
30분경 6
 
0.8%
17:00 5
 
0.7%
20시 5
 
0.7%
09:00 5
 
0.7%
Other values (473) 626
85.9%
2023-12-10T16:07:18.813230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 837
20.5%
1 508
12.4%
2 503
12.3%
: 388
9.5%
254
 
6.2%
. 202
 
4.9%
3 195
 
4.8%
5 194
 
4.7%
경 161
 
3.9%
4 131
 
3.2%
Other values (33) 713
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2674
65.4%
Other Punctuation 598
 
14.6%
Other Letter 464
 
11.4%
Space Separator 254
 
6.2%
Close Punctuation 33
 
0.8%
Open Punctuation 33
 
0.8%
Dash Punctuation 23
 
0.6%
Uppercase Letter 4
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 161
34.7%
분 117
25.2%
시 101
21.8%
일 11
 
2.4%
월 11
 
2.4%
오 10
 
2.2%
전 8
 
1.7%
금 7
 
1.5%
년 7
 
1.5%
토 5
 
1.1%
Other values (13) 26
 
5.6%
Decimal Number
ValueCountFrequency (%)
0 837
31.3%
1 508
19.0%
2 503
18.8%
3 195
 
7.3%
5 194
 
7.3%
4 131
 
4.9%
9 93
 
3.5%
8 81
 
3.0%
7 67
 
2.5%
6 65
 
2.4%
Other Punctuation
ValueCountFrequency (%)
: 388
64.9%
. 202
33.8%
/ 8
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
M 2
50.0%
A 2
50.0%
Space Separator
ValueCountFrequency (%)
254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3618
88.5%
Hangul 464
 
11.4%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 161
34.7%
분 117
25.2%
시 101
21.8%
일 11
 
2.4%
월 11
 
2.4%
오 10
 
2.2%
전 8
 
1.7%
금 7
 
1.5%
년 7
 
1.5%
토 5
 
1.1%
Other values (13) 26
 
5.6%
Common
ValueCountFrequency (%)
0 837
23.1%
1 508
14.0%
2 503
13.9%
: 388
10.7%
254
 
7.0%
. 202
 
5.6%
3 195
 
5.4%
5 194
 
5.4%
4 131
 
3.6%
9 93
 
2.6%
Other values (8) 313
 
8.7%
Latin
ValueCountFrequency (%)
M 2
50.0%
A 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3622
88.6%
Hangul 464
 
11.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 837
23.1%
1 508
14.0%
2 503
13.9%
: 388
10.7%
254
 
7.0%
. 202
 
5.6%
3 195
 
5.4%
5 194
 
5.4%
4 131
 
3.6%
9 93
 
2.6%
Other values (10) 317
 
8.8%
Hangul
ValueCountFrequency (%)
경 161
34.7%
분 117
25.2%
시 101
21.8%
일 11
 
2.4%
월 11
 
2.4%
오 10
 
2.2%
전 8
 
1.7%
금 7
 
1.5%
년 7
 
1.5%
토 5
 
1.1%
Other values (13) 26
 
5.6%

ty3_place
Text

Distinct487
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T16:07:19.325676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length15.641548
Min length2

Characters and Unicode

Total characters7680
Distinct characters398
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

Unique483 ?
Unique (%)98.4%

Sample

1st row만덕119안전센터 근처 도로변
2nd rowLH대라빌 앞
3rd row기장군 일광면 원리 116-1 군민체육공원
4th row기장군 정관읍 모전리 738-8
5th row연지동 국립국악원 일대
ValueCountFrequency (%)
인근 80
 
4.8%
앞 61
 
3.6%
부근 43
 
2.6%
아파트 20
 
1.2%
기장군 19
 
1.1%
강서구 18
 
1.1%
사하구 18
 
1.1%
영도구 13
 
0.8%
도로 12
 
0.7%
대저1동 12
 
0.7%
Other values (972) 1378
82.3%
2023-12-10T16:07:20.090466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1220
 
15.9%
동 384
 
5.0%
1 345
 
4.5%
- 185
 
2.4%
2 185
 
2.4%
구 178
 
2.3%
3 144
 
1.9%
근 138
 
1.8%
0 128
 
1.7%
대 120
 
1.6%
Other values (388) 4653
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4668
60.8%
Decimal Number 1398
 
18.2%
Space Separator 1220
 
15.9%
Dash Punctuation 185
 
2.4%
Open Punctuation 73
 
1.0%
Close Punctuation 71
 
0.9%
Other Punctuation 39
 
0.5%
Uppercase Letter 19
 
0.2%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 384
 
8.2%
구 178
 
3.8%
근 138
 
3.0%
대 120
 
2.6%
장 110
 
2.4%
부 104
 
2.2%
인 103
 
2.2%
산 87
 
1.9%
아 73
 
1.6%
로 71
 
1.5%
Other values (355) 3300
70.7%
Decimal Number
ValueCountFrequency (%)
1 345
24.7%
2 185
13.2%
3 144
10.3%
0 128
 
9.2%
5 115
 
8.2%
4 113
 
8.1%
6 101
 
7.2%
7 96
 
6.9%
9 91
 
6.5%
8 80
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
C 5
26.3%
U 3
15.8%
L 3
15.8%
G 2
 
10.5%
O 2
 
10.5%
F 1
 
5.3%
I 1
 
5.3%
B 1
 
5.3%
H 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 21
53.8%
, 9
23.1%
: 4
 
10.3%
/ 2
 
5.1%
" 2
 
5.1%
@ 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
s 2
28.6%
m 2
28.6%
k 2
28.6%
n 1
14.3%
Space Separator
ValueCountFrequency (%)
1220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4668
60.8%
Common 2986
38.9%
Latin 26
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 384
 
8.2%
구 178
 
3.8%
근 138
 
3.0%
대 120
 
2.6%
장 110
 
2.4%
부 104
 
2.2%
인 103
 
2.2%
산 87
 
1.9%
아 73
 
1.6%
로 71
 
1.5%
Other values (355) 3300
70.7%
Common
ValueCountFrequency (%)
1220
40.9%
1 345
 
11.6%
- 185
 
6.2%
2 185
 
6.2%
3 144
 
4.8%
0 128
 
4.3%
5 115
 
3.9%
4 113
 
3.8%
6 101
 
3.4%
7 96
 
3.2%
Other values (10) 354
 
11.9%
Latin
ValueCountFrequency (%)
C 5
19.2%
U 3
11.5%
L 3
11.5%
s 2
 
7.7%
m 2
 
7.7%
G 2
 
7.7%
O 2
 
7.7%
k 2
 
7.7%
n 1
 
3.8%
F 1
 
3.8%
Other values (3) 3
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4668
60.8%
ASCII 3012
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1220
40.5%
1 345
 
11.5%
- 185
 
6.1%
2 185
 
6.1%
3 144
 
4.8%
0 128
 
4.2%
5 115
 
3.8%
4 113
 
3.8%
6 101
 
3.4%
7 96
 
3.2%
Other values (23) 380
 
12.6%
Hangul
ValueCountFrequency (%)
동 384
 
8.2%
구 178
 
3.8%
근 138
 
3.0%
대 120
 
2.6%
장 110
 
2.4%
부 104
 
2.2%
인 103
 
2.2%
산 87
 
1.9%
아 73
 
1.6%
로 71
 
1.5%
Other values (355) 3300
70.7%

ty3_kind
Text

Distinct168
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T16:07:20.849778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length3.8900204
Min length1

Characters and Unicode

Total characters1910
Distinct characters159
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)26.5%

Sample

1st row강아지
2nd row미상
3rd row미상
4th row사모예드
5th row말티즈(추정)
ValueCountFrequency (%)
개 181
29.4%
추정 56
 
9.1%
미상 36
 
5.8%
고양이 24
 
3.9%
진돗개 24
 
3.9%
믹스견 21
 
3.4%
리트리버 17
 
2.8%
허스키 7
 
1.1%
골든리트리버 6
 
1.0%
개(믹스견 6
 
1.0%
Other values (157) 238
38.6%
2023-12-10T16:07:21.593333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
개 254
 
13.3%
128
 
6.7%
리 92
 
4.8%
) 80
 
4.2%
( 80
 
4.2%
정 78
 
4.1%
추 76
 
4.0%
스 59
 
3.1%
견 57
 
3.0%
미 42
 
2.2%
Other values (149) 964
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1601
83.8%
Space Separator 129
 
6.8%
Close Punctuation 80
 
4.2%
Open Punctuation 80
 
4.2%
Other Punctuation 11
 
0.6%
Decimal Number 8
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 254
 
15.9%
리 92
 
5.7%
정 78
 
4.9%
추 76
 
4.7%
스 59
 
3.7%
견 57
 
3.6%
미 42
 
2.6%
상 41
 
2.6%
트 40
 
2.5%
시 37
 
2.3%
Other values (138) 825
51.5%
Other Punctuation
ValueCountFrequency (%)
/ 6
54.5%
, 4
36.4%
: 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
3 3
37.5%
1 2
25.0%
Space Separator
ValueCountFrequency (%)
128
99.2%
　 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1601
83.8%
Common 309
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 254
 
15.9%
리 92
 
5.7%
정 78
 
4.9%
추 76
 
4.7%
스 59
 
3.7%
견 57
 
3.6%
미 42
 
2.6%
상 41
 
2.6%
트 40
 
2.5%
시 37
 
2.3%
Other values (138) 825
51.5%
Common
ValueCountFrequency (%)
128
41.4%
) 80
25.9%
( 80
25.9%
/ 6
 
1.9%
, 4
 
1.3%
2 3
 
1.0%
3 3
 
1.0%
1 2
 
0.6%
~ 1
 
0.3%
: 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1601
83.8%
ASCII 308
 
16.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
개 254
 
15.9%
리 92
 
5.7%
정 78
 
4.9%
추 76
 
4.7%
스 59
 
3.7%
견 57
 
3.6%
미 42
 
2.6%
상 41
 
2.6%
트 40
 
2.5%
시 37
 
2.3%
Other values (138) 825
51.5%
ASCII
ValueCountFrequency (%)
128
41.6%
) 80
26.0%
( 80
26.0%
/ 6
 
1.9%
, 4
 
1.3%
2 3
 
1.0%
3 3
 
1.0%
1 2
 
0.6%
~ 1
 
0.3%
: 1
 
0.3%
None
ValueCountFrequency (%)
　 1
100.0%

ty3_sex
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
미상
325 
수컷
120 
암컷
46 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미상
2nd row암컷
3rd row수컷
4th row미상
5th row미상

Common Values

ValueCountFrequency (%)
미상 325
66.2%
수컷 120
 
24.4%
암컷 46
 
9.4%

Length

2023-12-10T16:07:21.872540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T16:07:22.035987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미상 325
66.2%
수컷 120
 
24.4%
암컷 46
 
9.4%

ty3_process
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
인계 완료
348 
인계 예정
99 
보호 중
42 
포획 완료
 
2

Length

Max length5
Median length5
Mean length4.9144603
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인계 예정
2nd row인계 완료
3rd row인계 완료
4th row인계 완료
5th row인계 완료

Common Values

ValueCountFrequency (%)
인계 완료 348
70.9%
인계 예정 99
 
20.2%
보호 중 42
 
8.6%
포획 완료 2
 
0.4%

Length

2023-12-10T16:07:22.219184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T16:07:22.382149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인계 447
45.5%
완료 350
35.6%
예정 99
 
10.1%
보호 42
 
4.3%
중 42
 
4.3%
포획 2
 
0.2%

ty3_ingye
Text

MISSING 

Distinct298
Distinct (%)78.0%
Missing109
Missing (%)22.2%
Memory size4.0 KiB
2023-12-10T16:07:22.672384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length36
Mean length16.204188
Min length2

Characters and Unicode

Total characters6190
Distinct characters212
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique250 ?
Unique (%)65.4%

Sample

1st row구청 유기견센터 인계 예정
2nd row소방교 안기수
3rd row소방교 김효준
4th row소방교 김효준
5th row부산진구조대
ValueCountFrequency (%)
소방사 134
 
13.6%
소방교 50
 
5.1%
구조대 45
 
4.6%
소방장 29
 
2.9%
동래구조대 26
 
2.6%
부산진구조대 18
 
1.8%
금정구조대 16
 
1.6%
항만구조대 15
 
1.5%
사하구조대 13
 
1.3%
기장구조대 13
 
1.3%
Other values (368) 627
63.6%
2023-12-10T16:07:23.254228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
613
 
9.9%
1 367
 
5.9%
0 351
 
5.7%
소 283
 
4.6%
방 280
 
4.5%
- 215
 
3.5%
6 200
 
3.2%
구 192
 
3.1%
대 187
 
3.0%
조 180
 
2.9%
Other values (202) 3322
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3533
57.1%
Decimal Number 1580
25.5%
Space Separator 613
 
9.9%
Dash Punctuation 215
 
3.5%
Open Punctuation 93
 
1.5%
Close Punctuation 93
 
1.5%
Other Punctuation 63
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 283
 
8.0%
방 280
 
7.9%
구 192
 
5.4%
대 187
 
5.3%
조 180
 
5.1%
사 170
 
4.8%
센 124
 
3.5%
터 124
 
3.5%
안 120
 
3.4%
전 110
 
3.1%
Other values (184) 1763
49.9%
Decimal Number
ValueCountFrequency (%)
1 367
23.2%
0 351
22.2%
6 200
12.7%
5 158
10.0%
2 140
 
8.9%
9 130
 
8.2%
7 125
 
7.9%
3 53
 
3.4%
4 43
 
2.7%
8 13
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 37
58.7%
: 11
 
17.5%
, 11
 
17.5%
/ 4
 
6.3%
Space Separator
ValueCountFrequency (%)
613
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 215
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3533
57.1%
Common 2657
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 283
 
8.0%
방 280
 
7.9%
구 192
 
5.4%
대 187
 
5.3%
조 180
 
5.1%
사 170
 
4.8%
센 124
 
3.5%
터 124
 
3.5%
안 120
 
3.4%
전 110
 
3.1%
Other values (184) 1763
49.9%
Common
ValueCountFrequency (%)
613
23.1%
1 367
13.8%
0 351
13.2%
- 215
 
8.1%
6 200
 
7.5%
5 158
 
5.9%
2 140
 
5.3%
9 130
 
4.9%
7 125
 
4.7%
( 93
 
3.5%
Other values (8) 265
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3533
57.1%
ASCII 2657
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
613
23.1%
1 367
13.8%
0 351
13.2%
- 215
 
8.1%
6 200
 
7.5%
5 158
 
5.9%
2 140
 
5.3%
9 130
 
4.9%
7 125
 
4.7%
( 93
 
3.5%
Other values (8) 265
10.0%
Hangul
ValueCountFrequency (%)
소 283
 
8.0%
방 280
 
7.9%
구 192
 
5.4%
대 187
 
5.3%
조 180
 
5.1%
사 170
 
4.8%
센 124
 
3.5%
터 124
 
3.5%
안 120
 
3.4%
전 110
 
3.1%
Other values (184) 1763
49.9%

ty3_insu
Text

MISSING 

Distinct276
Distinct (%)77.3%
Missing134
Missing (%)27.3%
Memory size4.0 KiB
2023-12-10T16:07:23.640951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length33
Mean length16.179272
Min length2

Characters and Unicode

Total characters5776
Distinct characters217
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

Unique242 ?
Unique (%)67.8%

Sample

1st row유기동물보호센터 051-701-7599
2nd row누리동물병원 양동민(051-701-7599)
3rd row누리동물병원 강현명(051-701-7599)
4th row부산진구청 당직실(051-605-4302)
5th row누리동물병원 양동민(010-9578-0040)
ValueCountFrequency (%)
누리동물병원 46
 
5.4%
당직실 34
 
4.0%
부산진구청 24
 
2.8%
하얀비둘기 23
 
2.7%
영도구청 22
 
2.6%
유기동물 15
 
1.8%
누리동물병원(051-701-7599 15
 
1.8%
금정구청 14
 
1.6%
연제구청 14
 
1.6%
동래구청 13
 
1.5%
Other values (383) 631
74.1%
2023-12-10T16:07:24.364216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
508
 
8.8%
0 310
 
5.4%
1 276
 
4.8%
- 258
 
4.5%
동 210
 
3.6%
5 194
 
3.4%
물 173
 
3.0%
구 168
 
2.9%
2 152
 
2.6%
청 151
 
2.6%
Other values (207) 3376
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3184
55.1%
Decimal Number 1493
25.8%
Space Separator 508
 
8.8%
Dash Punctuation 258
 
4.5%
Open Punctuation 129
 
2.2%
Close Punctuation 128
 
2.2%
Other Punctuation 67
 
1.2%
Lowercase Letter 8
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 210
 
6.6%
물 173
 
5.4%
구 168
 
5.3%
청 151
 
4.7%
호 104
 
3.3%
리 103
 
3.2%
원 95
 
3.0%
보 94
 
3.0%
누 81
 
2.5%
병 78
 
2.4%
Other values (186) 1927
60.5%
Decimal Number
ValueCountFrequency (%)
0 310
20.8%
1 276
18.5%
5 194
13.0%
2 152
10.2%
9 148
9.9%
7 137
9.2%
4 93
 
6.2%
8 65
 
4.4%
3 60
 
4.0%
6 58
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 30
44.8%
, 14
20.9%
: 12
 
17.9%
/ 10
 
14.9%
& 1
 
1.5%
Space Separator
ValueCountFrequency (%)
508
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3184
55.1%
Common 2583
44.7%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 210
 
6.6%
물 173
 
5.4%
구 168
 
5.3%
청 151
 
4.7%
호 104
 
3.3%
리 103
 
3.2%
원 95
 
3.0%
보 94
 
3.0%
누 81
 
2.5%
병 78
 
2.4%
Other values (186) 1927
60.5%
Common
ValueCountFrequency (%)
508
19.7%
0 310
12.0%
1 276
10.7%
- 258
10.0%
5 194
 
7.5%
2 152
 
5.9%
9 148
 
5.7%
7 137
 
5.3%
( 129
 
5.0%
) 128
 
5.0%
Other values (9) 343
13.3%
Latin
ValueCountFrequency (%)
x 8
88.9%
T 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3184
55.1%
ASCII 2592
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
508
19.6%
0 310
12.0%
1 276
10.6%
- 258
10.0%
5 194
 
7.5%
2 152
 
5.9%
9 148
 
5.7%
7 137
 
5.3%
( 129
 
5.0%
) 128
 
4.9%
Other values (11) 352
13.6%
Hangul
ValueCountFrequency (%)
동 210
 
6.6%
물 173
 
5.4%
구 168
 
5.3%
청 151
 
4.7%
호 104
 
3.3%
리 103
 
3.2%
원 95
 
3.0%
보 94
 
3.0%
누 81
 
2.5%
병 78
 
2.4%
Other values (186) 1927
60.5%

ty3_picture
Text

UNIQUE 

Distinct491
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T16:07:24.877235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length99
Mean length99
Min length99

Characters and Unicode

Total characters48609
Distinct characters48
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique491 ?
Unique (%)100.0%

Sample

1st rowhttp://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1518847&fileTy=ATTACH&fileNo=1&thumbTy=M
2nd rowhttp://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1518797&fileTy=ATTACH&fileNo=1&thumbTy=M
3rd rowhttp://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1518704&fileTy=ATTACH&fileNo=1&thumbTy=M
4th rowhttp://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1518651&fileTy=ATTACH&fileNo=1&thumbTy=M
5th rowhttp://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1518187&fileTy=ATTACH&fileNo=1&thumbTy=M
ValueCountFrequency (%)
http://www.busan.go.kr/comm/getimage?srvcid=bbsty3&upperno=1518847&filety=attach&fileno=1&thumbty=m 1
 
0.2%
http://www.busan.go.kr/comm/getimage?srvcid=bbsty3&upperno=1463041&filety=attach&fileno=1&thumbty=m 1
 
0.2%
http://www.busan.go.kr/comm/getimage?srvcid=bbsty3&upperno=1463163&filety=attach&fileno=1&thumbty=m 1
 
0.2%
http://www.busan.go.kr/comm/getimage?srvcid=bbsty3&upperno=1463689&filety=attach&fileno=1&thumbty=m 1
 
0.2%
http://www.busan.go.kr/comm/getimage?srvcid=bbsty3&upperno=1509125&filety=attach&fileno=1&thumbty=m 1
 
0.2%
http://www.busan.go.kr/comm/getimage?srvcid=bbsty3&upperno=1509637&filety=attach&fileno=1&thumbty=m 1
 
0.2%
http://www.busan.go.kr/comm/getimage?srvcid=bbsty3&upperno=1510086&filety=attach&fileno=1&thumbty=m 1
 
0.2%
http://www.busan.go.kr/comm/getimage?srvcid=bbsty3&upperno=1510524&filety=attach&fileno=1&thumbty=m 1
 
0.2%
http://www.busan.go.kr/comm/getimage?srvcid=bbsty3&upperno=1443883&filety=attach&fileno=1&thumbty=m 1
 
0.2%
http://www.busan.go.kr/comm/getimage?srvcid=bbsty3&upperno=1444529&filety=attach&fileno=1&thumbty=m 1
 
0.2%
Other values (481) 481
98.0%
2023-12-10T16:07:25.535371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 2455
 
5.1%
e 2455
 
5.1%
= 2455
 
5.1%
t 1964
 
4.0%
/ 1964
 
4.0%
& 1964
 
4.0%
m 1964
 
4.0%
o 1964
 
4.0%
p 1473
 
3.0%
w 1473
 
3.0%
Other values (38) 28478
58.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26514
54.5%
Uppercase Letter 8838
 
18.2%
Other Punctuation 6383
 
13.1%
Decimal Number 4419
 
9.1%
Math Symbol 2455
 
5.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2455
 
9.3%
t 1964
 
7.4%
m 1964
 
7.4%
o 1964
 
7.4%
p 1473
 
5.6%
w 1473
 
5.6%
u 1473
 
5.6%
g 1473
 
5.6%
r 1473
 
5.6%
h 982
 
3.7%
Other values (12) 9820
37.0%
Uppercase Letter
ValueCountFrequency (%)
T 2455
27.8%
N 982
 
11.1%
A 982
 
11.1%
B 982
 
11.1%
I 982
 
11.1%
C 491
 
5.6%
M 491
 
5.6%
H 491
 
5.6%
Y 491
 
5.6%
S 491
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1224
27.7%
3 743
16.8%
5 490
11.1%
4 480
 
10.9%
7 275
 
6.2%
8 255
 
5.8%
6 250
 
5.7%
0 244
 
5.5%
9 231
 
5.2%
2 227
 
5.1%
Other Punctuation
ValueCountFrequency (%)
/ 1964
30.8%
& 1964
30.8%
. 1473
23.1%
: 491
 
7.7%
? 491
 
7.7%
Math Symbol
ValueCountFrequency (%)
= 2455
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35352
72.7%
Common 13257
 
27.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 2455
 
6.9%
e 2455
 
6.9%
t 1964
 
5.6%
m 1964
 
5.6%
o 1964
 
5.6%
p 1473
 
4.2%
w 1473
 
4.2%
u 1473
 
4.2%
g 1473
 
4.2%
r 1473
 
4.2%
Other values (22) 17185
48.6%
Common
ValueCountFrequency (%)
= 2455
18.5%
/ 1964
14.8%
& 1964
14.8%
. 1473
11.1%
1 1224
9.2%
3 743
 
5.6%
: 491
 
3.7%
? 491
 
3.7%
5 490
 
3.7%
4 480
 
3.6%
Other values (6) 1482
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48609
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 2455
 
5.1%
e 2455
 
5.1%
= 2455
 
5.1%
t 1964
 
4.0%
/ 1964
 
4.0%
& 1964
 
4.0%
m 1964
 
4.0%
o 1964
 
4.0%
p 1473
 
3.0%
w 1473
 
3.0%
Other values (38) 28478
58.6%

last_load_dttm
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2023-09-01 06:16:03
Maximum2023-09-01 06:16:03
2023-12-10T16:07:25.726243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T16:07:25.892323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-10T16:07:09.965151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T16:07:09.486576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T16:07:10.177133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T16:07:09.757949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T16:07:26.017897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
skeyntt_noty3_sexty3_process
skey1.0000.9630.0000.097
ntt_no0.9631.0000.0790.167
ty3_sex0.0000.0791.0000.106
ty3_process0.0970.1670.1061.000
2023-12-10T16:07:26.180634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ty3_sexty3_process
ty3_sex1.0000.099
ty3_process0.0991.000
2023-12-10T16:07:26.323089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
skeyntt_noty3_sexty3_process
skey1.0000.5330.0000.058
ntt_no0.5331.0000.0550.099
ty3_sex0.0000.0551.0000.099
ty3_process0.0580.0990.0991.000

Missing values

2023-12-10T16:07:10.467413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T16:07:10.860053image/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.
2023-12-10T16:07:11.168244image/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

skeyntt_nosjwrterwritng_decnty3_datety3_placety3_kindty3_sexty3_processty3_ingyety3_insuty3_picturelast_load_dttm
05234071518847('22.02.03.) 북구 만덕동 만덕119안전센터 앞 도로변신서원2022-02-032022.02.03.목요일 21:00경 오토바이 배달원이 만덕센터 근처 도로변에서 발견했다며 데리고 옴. 외관상 목줄이나 이름표 등 주인을 확인할 수 있는 사항 발견치 못함.약 21:00경만덕119안전센터 근처 도로변강아지미상인계 예정구청 유기견센터 인계 예정<NA>http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1518847&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
152340815187972022.02.03.(목) 기장군 기장읍 차성남로 8-19안기수2022-02-032022.02.03(목) 기장군 차성남로 8-19 LH대라빌 앞에서 포획하여 유기동물보호센터(051-701-7599)에 인계했습니다.15:34LH대라빌 앞미상암컷인계 완료소방교 안기수유기동물보호센터 051-701-7599http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1518797&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
252340915187042022.02.02(수) 기장군 일광면 원리 116-1김효준2022-02-022022.02.02(수) 기장군 일광면 원리 116-1 군민체육공원 농구장 인근에서 포획하여 누리동물병원 양동민(051-701-7599)에 인계했습니다.2022.02.02 15:45기장군 일광면 원리 116-1 군민체육공원미상수컷인계 완료소방교 김효준누리동물병원 양동민(051-701-7599)http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1518704&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
352341015186512022.01.29(토) 기장군 정관읍 모전리 738-8김효준2022-01-292022.01.29(토) 기장군 정관읍 모전리 738-8 인근에서 포획하여 누리동물병원 강현명(051-701-7599)에 인계했습니다.2022.01.29 14:05기장군 정관읍 모전리 738-8사모예드미상인계 완료소방교 김효준누리동물병원 강현명(051-701-7599)http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1518651&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
452341115181872022년 1월25일 연지동 국립국악원 일대조동희2022-01-25구조대에 신고한 신고자가 연지동 국립국악원 일대에서 포획하여 부산진구조대로 인계한 상황으로 리더기를 이용해 칩을 확인하였으나 감지가 되지않아 부산진구청에 인계한 사항.21시35분경연지동 국립국악원 일대말티즈(추정)미상인계 완료부산진구조대부산진구청 당직실(051-605-4302)http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1518187&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
552341215179482022.01.21. / 중부구조대 / 동대신동역 5번출구 앞정우용2022-01-21견종 : 시베리아 허스키(추정) 성별 : 암컷 특징 : 매우 온순하고 성대수술 추정(기침소리 잦음) 포획일시 : 2022.01.21. 21:20 포획장소 : 동대신동 역 5번 출구 앞 보호장소 : 서구청 당직실(당직실 051-240-4222)21:20동대신동 역 5번출구 앞시베리아 허스키(추정)암컷인계 완료부산광역시 서구청 당직실(051-240-4222)<NA>http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1517948&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
652341315179462022.01.21 (금) 기장군 장안읍 오리 28정우현2022-01-212022.01.21 (금) 기장군 장안읍 오리 28 인근에서 포획하여 누리동물병원 양동민(010-9578-0040)에 인계했습니다2022.01.21 17:00기장군 장안읍 오리 28미상미상인계 완료소방사 강민구누리동물병원 양동민(010-9578-0040)http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1517946&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
752341415170182022.01.12 수요일 11:20분경 일광면 화전교차로 인근정우현2022-01-122022.01.12 수요일 11:20분경 일광면 화전교차로 인근 포획11:20일광면 화전교차로 인근미상미상인계 완료소방사 정우현누리동물병원 장영철http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1517018&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
852341515167342022.01.08(토) 06:50분 경 부산진구 전포동 인근/ 골든리트리버이도훈2022-01-08부산진구 전포동309-20 이마트 편의점 부근에서 습득한 개로 부산진구청 당직실에 인계완료06:40분경부산진구 전포동 309-20골든리트리버미상인계 완료부산진구조대 소방사 이도훈부산진구청 당직실 이서연http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1516734&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
952341615166272022.1.6.(목) 17:15 모라동 자유아파트 앞허준용2022-01-06모라동 자유아파트 앞 난간에 초록색 옷을 입고 묶여있는 강아지를 행인이 발견하여 주례119안전센터로 인계함17:15모라동 자유아파트 앞푸들로 추정암컷보호 중<NA><NA>http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1516627&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
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48152297815040502021.09.12.(일)/일광면 이천리 369-3/개백성원2021-09-12일광면 이천리 369-3 한국유리 부근 큰개가 돌아다닌다는 신고를 받고 출동하여 구조 후 누리동물병원으로 인계함.10:50일광면 이천리 369-3 한국유리 부근미상미상인계 완료<NA>누리동물병원(051-701-7599)http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1504050&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
48252297915040492021.09.12.(일), 18:27 / 항만구조대 / 개구조정현철2021-09-12청학동 21-15 더클래식빌라 인근 유기견이 돌아다닌다는 신고를 받고 출동하여 구조 후 영도구청 당직계로 인계함.18:27청학동 21-15 더클래식 빌라 인근 골목개(포메라니언 추정)미상인계 완료부산시 항만구조대 소방사 정현철부산시 영도구청 당직 (이영준 / 010 2580 7503)http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1504049&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
48352298015040292021.09.11.(토) / 사직119안전센터 / 개김은찬2021-09-112021년 9월 11일 05시 30분 경 사직야구장 인근 하수구에 빠져있던 강아지를 구조 후 동물병원(누리 동물병원)에 인계함05:30사직야구장 인근 하수구요크셔테리어미상인계 완료사직119안전센터 소방사 김은찬(051-760-6352)누리동물병원(051-701-7599)http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1504029&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
48452298115040272021-09-11 / 사하구 괴정동 437-2 / 개(믹스견)김희준2021-09-1101시 30분경 괴정동 괴정골목시장에 있는 서일선지국밥 앞쪽에서 믹스견 1마리 포획 후 동물보호센터(사단법인 하얀비둘기) 인계함.01:30사하구 괴정동 괴정골목시장 서일선지국밥 앞개(믹스견)미상인계 완료괴정119안전센터 소방사 김희준동물보호센터(사단법인 하얀비둘기)/ 유민식 010-8800-5192http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1504027&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
48552298215037942021.09.08./ 영도 119 항만구조대/새끼고양이 2마리이윤호2021-09-08<NA>10:36영도구 동삼동 1123-16(항만구조대 인근)새끼고양이미상인계 완료항만구조대 051-760-6902강서 에코센터 010-8800-5192http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1503794&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
48652298315037612021.09.07/23:01분경 수영sk뷰 1차104동 3,4라인 고양이 포획정양배2021-09-07망미119안전센터입니다 2021.09.07/23:01분경 수영sk뷰 1차104동 3,4라인 고양이 포획 sk뷰 1차 관리사무소 통해 수차례 방송 실시한 바 현재까지 연락 안오는 상태로 2021.09.08. 14시 이후 누리동물병원 인계 예정23:01수영sk뷰 1차 104동 3,4 라인13층 인근고양이미상인계 예정<NA><NA>http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1503761&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
48752298415033142021.09.02./ 사직119안전센터/고양이강기웅2021-09-022021.9.3.(목) 12시 30분 경 동물포획 신고를 받고 현장에서 고양이를 포획하였음. 포획후 사직119안전센터에서 보호 중. 누리동물병원 인계 완료.12:30거제동 670-18, 거제해맞이역 앞고양이미상인계 완료사직119안전센터(051-760-6352)누리동물병원 김현재(051-701-7599)http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1503314&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
48852298515032902021.08.31.(화) / 대저119안전센터 / 개홍진수2021-08-312021.08.31. 18시40분경에 대저1동에 유기견이 있다고 출동한바 신고자가 유기견을 보호하고 있어서 안전센터에 데리고 와서 부산동물 보호센터(05-832-7119) 에 인계 완료.18:40 경대저1동 도로변개미상인계 예정<NA><NA>http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1503290&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
48952298615030282021.08.31.(화) / 감전119안전센터 / 개최민영2021-08-312021.8.31.(화) 18시 25분 경 시민이 개을 발견하여 인계 받고 감전119안전센터에서 보호 중 유기동물보호 관리협회 인계 예정18시 25분 경감전동미상미상인계 완료감전119안전센터유기동물보호관리협회http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1503028&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03
49052298715026372021.08.29.(일) 20:10분경 / 동남권원자력의학원 부근 / 개정우현2021-08-292021.08.29.(일) 20:10분경 동남권원자력의학원 부근에서 포획, 누리동물병원 직원(장영철)에게 인계완료20:10동남권원자력의학원 부근미상미상인계 완료<NA><NA>http://www.busan.go.kr/comm/getImage?srvcId=BBSTY3&upperNo=1502637&fileTy=ATTACH&fileNo=1&thumbTy=M2023-09-01 06:16:03