Overview

Dataset statistics

Number of variables80
Number of observations1960
Missing cells7202
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory643.1 B

Variable types

Text14
Numeric3
Categorical61
DateTime2

Alerts

last_load_dttm has constant value ""Constant
opnsvcid is highly imbalanced (65.3%)Imbalance
opnsvcnm is highly imbalanced (62.4%)Imbalance
sitepostno is highly imbalanced (55.4%)Imbalance
clgstdt is highly imbalanced (81.4%)Imbalance
clgenddt is highly imbalanced (79.7%)Imbalance
trdstatenm is highly imbalanced (67.1%)Imbalance
dtlstatenm is highly imbalanced (60.7%)Imbalance
bdngsrvnm is highly imbalanced (62.9%)Imbalance
cnstyarea is highly imbalanced (55.4%)Imbalance
plninsurstdt is highly imbalanced (55.4%)Imbalance
plninsurenddt is highly imbalanced (55.4%)Imbalance
playfacilcnt is highly imbalanced (52.8%)Imbalance
culphyedcobnm is highly imbalanced (62.6%)Imbalance
museumkindnm is highly imbalanced (69.8%)Imbalance
museumsortnm is highly imbalanced (51.4%)Imbalance
insurorgnm is highly imbalanced (67.4%)Imbalance
insurstdt is highly imbalanced (70.5%)Imbalance
insurenddt is highly imbalanced (70.5%)Imbalance
afc is highly imbalanced (73.1%)Imbalance
mngmbdnm is highly imbalanced (60.5%)Imbalance
ndloan is highly imbalanced (54.8%)Imbalance
monknum is highly imbalanced (55.1%)Imbalance
belvnum is highly imbalanced (55.1%)Imbalance
originhist is highly imbalanced (64.3%)Imbalance
capt is highly imbalanced (79.0%)Imbalance
tdtpnm is highly imbalanced (71.4%)Imbalance
nearenvnm is highly imbalanced (60.3%)Imbalance
jisgnumlay is highly imbalanced (68.7%)Imbalance
regnsenm is highly imbalanced (65.0%)Imbalance
asgncancel is highly imbalanced (54.5%)Imbalance
undernumlay is highly imbalanced (68.2%)Imbalance
estbhdate is highly imbalanced (68.4%)Imbalance
totnumlay is highly imbalanced (70.5%)Imbalance
rdnpostno has 29 (1.5%) missing valuesMissing
rdnwhladdr has 58 (3.0%) missing valuesMissing
dcbymd has 1297 (66.2%) missing valuesMissing
x has 98 (5.0%) missing valuesMissing
y has 96 (4.9%) missing valuesMissing
sitetel has 182 (9.3%) missing valuesMissing
openymd has 1524 (77.8%) missing valuesMissing
playutscntdtl has 1258 (64.2%) missing valuesMissing
facilscp has 1313 (67.0%) missing valuesMissing
facilar has 1313 (67.0%) missing valuesMissing
skey has unique valuesUnique

Reproduction

Analysis started2024-04-17 18:49:16.713573
Analysis finished2024-04-17 18:49:18.935887
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Text

UNIQUE 

Distinct1960
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
2024-04-18T03:49:19.129722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length73
Mean length3.552551
Min length1

Characters and Unicode

Total characters6963
Distinct characters100
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1960 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
한다 2
 
0.1%
화재로 2
 
0.1%
1 1
 
< 0.1%
1273 1
 
< 0.1%
1272 1
 
< 0.1%
1271 1
 
< 0.1%
1270 1
 
< 0.1%
1269 1
 
< 0.1%
1268 1
 
< 0.1%
1267 1
 
< 0.1%
Other values (1994) 1994
99.4%
2024-04-18T03:49:19.464989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1563
22.4%
5 594
 
8.5%
2 593
 
8.5%
4 593
 
8.5%
3 591
 
8.5%
7 588
 
8.4%
6 587
 
8.4%
8 586
 
8.4%
9 561
 
8.1%
0 485
 
7.0%
Other values (90) 222
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6741
96.8%
Other Letter 152
 
2.2%
Space Separator 59
 
0.8%
Other Punctuation 5
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
4.6%
6
 
3.9%
5
 
3.3%
5
 
3.3%
5
 
3.3%
5
 
3.3%
4
 
2.6%
4
 
2.6%
4
 
2.6%
3
 
2.0%
Other values (75) 104
68.4%
Decimal Number
ValueCountFrequency (%)
1 1563
23.2%
5 594
 
8.8%
2 593
 
8.8%
4 593
 
8.8%
3 591
 
8.8%
7 588
 
8.7%
6 587
 
8.7%
8 586
 
8.7%
9 561
 
8.3%
0 485
 
7.2%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 2
40.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6811
97.8%
Hangul 148
 
2.1%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
4.7%
6
 
4.1%
5
 
3.4%
5
 
3.4%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
4
 
2.7%
3
 
2.0%
Other values (71) 100
67.6%
Common
ValueCountFrequency (%)
1 1563
22.9%
5 594
 
8.7%
2 593
 
8.7%
4 593
 
8.7%
3 591
 
8.7%
7 588
 
8.6%
6 587
 
8.6%
8 586
 
8.6%
9 561
 
8.2%
0 485
 
7.1%
Other values (5) 70
 
1.0%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6811
97.8%
Hangul 147
 
2.1%
CJK 4
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1563
22.9%
5 594
 
8.7%
2 593
 
8.7%
4 593
 
8.7%
3 591
 
8.7%
7 588
 
8.6%
6 587
 
8.6%
8 586
 
8.6%
9 561
 
8.2%
0 485
 
7.1%
Other values (5) 70
 
1.0%
Hangul
ValueCountFrequency (%)
7
 
4.8%
6
 
4.1%
5
 
3.4%
5
 
3.4%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
4
 
2.7%
3
 
2.0%
Other values (70) 99
67.3%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

opnsfteamcode
Real number (ℝ)

Distinct210
Distinct (%)10.7%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean4475684.6
Minimum3000000
Maximum6520000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.4 KiB
2024-04-18T03:49:19.577905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3160000
Q13630000
median4230000
Q35240000
95-th percentile6430000
Maximum6520000
Range3520000
Interquartile range (IQR)1610000

Descriptive statistics

Standard deviation1003891.6
Coefficient of variation (CV)0.224299
Kurtosis-0.80835487
Mean4475684.6
Median Absolute Deviation (MAD)750000
Skewness0.52679244
Sum8.754439 × 109
Variance1.0077983 × 1012
MonotonicityNot monotonic
2024-04-18T03:49:19.687268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6280000 67
 
3.4%
3740000 48
 
2.4%
5530000 43
 
2.2%
4050000 37
 
1.9%
5350000 32
 
1.6%
3940000 29
 
1.5%
6260000 29
 
1.5%
4670000 28
 
1.4%
3330000 26
 
1.3%
4810000 26
 
1.3%
Other values (200) 1591
81.2%
ValueCountFrequency (%)
3000000 1
 
0.1%
3010000 2
 
0.1%
3020000 3
 
0.2%
3030000 3
 
0.2%
3040000 8
0.4%
3050000 2
 
0.1%
3060000 8
0.4%
3070000 3
 
0.2%
3080000 4
0.2%
3090000 4
0.2%
ValueCountFrequency (%)
6520000 21
1.1%
6510000 23
1.2%
6500000 1
 
0.1%
6480000 14
0.7%
6470000 10
0.5%
6460000 14
0.7%
6450000 5
 
0.3%
6440000 6
 
0.3%
6430000 9
 
0.5%
6420000 2
 
0.1%

mgtno
Text

Distinct211
Distinct (%)10.8%
Missing4
Missing (%)0.2%
Memory size15.4 KiB
2024-04-18T03:49:19.878914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length19.560838
Min length11

Characters and Unicode

Total characters38261
Distinct characters16
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

Unique110 ?
Unique (%)5.6%

Sample

1st rowB04011992000001
2nd rowB04022015000001
3rd rowB04012007000001
4th rowB04012008000001
5th rowB04012009000001
ValueCountFrequency (%)
cdfi5272002019000001 223
 
11.4%
cdfi5272002019000002 170
 
8.7%
cdfi5272002020000001 159
 
8.1%
cdfi5272002019000003 122
 
6.2%
cdfi5271002019000001 106
 
5.4%
cdfi5272002019000004 93
 
4.8%
cdfi5272002020000002 87
 
4.4%
cdfi5272002019000005 76
 
3.9%
cdfi5272002020000003 46
 
2.4%
cdfi5272002019000006 45
 
2.3%
Other values (201) 829
42.4%
2024-04-18T03:49:20.178188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16063
42.0%
2 6298
 
16.5%
1 2615
 
6.8%
5 1898
 
5.0%
7 1869
 
4.9%
C 1842
 
4.8%
D 1776
 
4.6%
F 1776
 
4.6%
I 1776
 
4.6%
9 1192
 
3.1%
Other values (6) 1156
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30963
80.9%
Uppercase Letter 7275
 
19.0%
Dash Punctuation 23
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16063
51.9%
2 6298
 
20.3%
1 2615
 
8.4%
5 1898
 
6.1%
7 1869
 
6.0%
9 1192
 
3.8%
8 311
 
1.0%
4 285
 
0.9%
3 273
 
0.9%
6 159
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 1842
25.3%
D 1776
24.4%
F 1776
24.4%
I 1776
24.4%
B 105
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30986
81.0%
Latin 7275
 
19.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16063
51.8%
2 6298
 
20.3%
1 2615
 
8.4%
5 1898
 
6.1%
7 1869
 
6.0%
9 1192
 
3.8%
8 311
 
1.0%
4 285
 
0.9%
3 273
 
0.9%
6 159
 
0.5%
Latin
ValueCountFrequency (%)
C 1842
25.3%
D 1776
24.4%
F 1776
24.4%
I 1776
24.4%
B 105
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38261
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16063
42.0%
2 6298
 
16.5%
1 2615
 
6.8%
5 1898
 
5.0%
7 1869
 
4.9%
C 1842
 
4.8%
D 1776
 
4.6%
F 1776
 
4.6%
I 1776
 
4.6%
9 1192
 
3.1%
Other values (6) 1156
 
3.0%

opnsvcid
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
03_07_08_P
1484 
03_07_09_P
242 
03_07_05_P
 
105
03_07_02_P
 
66
03_07_10_P
 
16
Other values (9)
 
47

Length

Max length10
Median length10
Mean length9.9877551
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row03_07_05_P
2nd row03_07_05_P
3rd row03_07_05_P
4th row03_07_05_P
5th row03_07_05_P

Common Values

ValueCountFrequency (%)
03_07_08_P 1484
75.7%
03_07_09_P 242
 
12.3%
03_07_05_P 105
 
5.4%
03_07_02_P 66
 
3.4%
03_07_10_P 16
 
0.8%
03_07_06_P 13
 
0.7%
03_07_11_P 9
 
0.5%
03_07_01_P 6
 
0.3%
03_07_03_P 6
 
0.3%
03_07_12_P 5
 
0.3%
Other values (4) 8
 
0.4%

Length

2024-04-18T03:49:20.308675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
03_07_08_p 1484
75.7%
03_07_09_p 242
 
12.3%
03_07_05_p 105
 
5.4%
03_07_02_p 66
 
3.4%
03_07_10_p 16
 
0.8%
03_07_06_p 13
 
0.7%
03_07_11_p 9
 
0.5%
03_07_01_p 6
 
0.3%
03_07_03_p 6
 
0.3%
03_07_12_p 5
 
0.3%
Other values (4) 8
 
0.4%

updategbn
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
U
1044 
I
912 
<NA>
 
4

Length

Max length4
Median length1
Mean length1.0061224
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
U 1044
53.3%
I 912
46.5%
<NA> 4
 
0.2%

Length

2024-04-18T03:49:20.403383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:20.479093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 1044
53.3%
i 912
46.5%
na 4
 
0.2%
Distinct680
Distinct (%)34.8%
Missing4
Missing (%)0.2%
Memory size15.4 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 02:40:00
2024-04-18T03:49:20.563619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:49:20.667210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

opnsvcnm
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
유원시설업(기타)
1484 
일반유원시설업
242 
박물관, 미술관
 
85
관광사업자
 
66
<NA>
 
24
Other values (7)
 
59

Length

Max length9
Median length9
Mean length8.4142857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유원시설업(기타) 1484
75.7%
일반유원시설업 242
 
12.3%
박물관, 미술관 85
 
4.3%
관광사업자 66
 
3.4%
<NA> 24
 
1.2%
전문휴양업 16
 
0.8%
시내순환관광업 13
 
0.7%
전통사찰 9
 
0.5%
관광궤도업 6
 
0.3%
관광유람선업 6
 
0.3%
Other values (2) 9
 
0.5%

Length

2024-04-18T03:49:20.770596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유원시설업(기타 1484
72.6%
일반유원시설업 242
 
11.8%
박물관 85
 
4.2%
미술관 85
 
4.2%
관광사업자 66
 
3.2%
na 24
 
1.2%
전문휴양업 16
 
0.8%
시내순환관광업 13
 
0.6%
전통사찰 9
 
0.4%
관광궤도업 6
 
0.3%
Other values (3) 15
 
0.7%

bplcnm
Text

Distinct1266
Distinct (%)64.7%
Missing4
Missing (%)0.2%
Memory size15.4 KiB
2024-04-18T03:49:20.991108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length8.8624744
Min length2

Characters and Unicode

Total characters17335
Distinct characters640
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique930 ?
Unique (%)47.5%

Sample

1st row부산광역시립박물관
2nd row석당미술관
3rd row부산포민속박물관
4th row범어사 성보박물관
5th row킴스아트필드미술관
ValueCountFrequency (%)
키즈카페 78
 
2.5%
주식회사 75
 
2.4%
물놀이장 43
 
1.4%
키즈월드 24
 
0.8%
고구려기획 20
 
0.6%
vr 18
 
0.6%
헬로방방 17
 
0.5%
점핑몬스터 17
 
0.5%
꼬마대통령 17
 
0.5%
노리파크 17
 
0.5%
Other values (1582) 2824
89.7%
2024-04-18T03:49:21.343292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1198
 
6.9%
541
 
3.1%
395
 
2.3%
394
 
2.3%
382
 
2.2%
381
 
2.2%
377
 
2.2%
( 329
 
1.9%
) 329
 
1.9%
325
 
1.9%
Other values (630) 12684
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14588
84.2%
Space Separator 1198
 
6.9%
Uppercase Letter 489
 
2.8%
Open Punctuation 329
 
1.9%
Close Punctuation 329
 
1.9%
Decimal Number 180
 
1.0%
Lowercase Letter 160
 
0.9%
Other Punctuation 32
 
0.2%
Math Symbol 13
 
0.1%
Other Symbol 8
 
< 0.1%
Other values (2) 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
541
 
3.7%
395
 
2.7%
394
 
2.7%
382
 
2.6%
381
 
2.6%
377
 
2.6%
325
 
2.2%
242
 
1.7%
223
 
1.5%
197
 
1.4%
Other values (558) 11131
76.3%
Uppercase Letter
ValueCountFrequency (%)
R 60
 
12.3%
V 49
 
10.0%
A 38
 
7.8%
K 37
 
7.6%
N 33
 
6.7%
O 31
 
6.3%
G 25
 
5.1%
E 24
 
4.9%
S 23
 
4.7%
D 19
 
3.9%
Other values (16) 150
30.7%
Lowercase Letter
ValueCountFrequency (%)
n 16
 
10.0%
u 14
 
8.8%
e 13
 
8.1%
l 13
 
8.1%
o 13
 
8.1%
t 11
 
6.9%
i 9
 
5.6%
a 8
 
5.0%
k 8
 
5.0%
s 7
 
4.4%
Other values (14) 48
30.0%
Decimal Number
ValueCountFrequency (%)
2 49
27.2%
1 38
21.1%
0 24
13.3%
3 21
11.7%
4 16
 
8.9%
5 12
 
6.7%
8 10
 
5.6%
9 9
 
5.0%
7 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
& 17
53.1%
' 7
21.9%
, 5
 
15.6%
2
 
6.2%
. 1
 
3.1%
Other Symbol
ValueCountFrequency (%)
7
87.5%
1
 
12.5%
Space Separator
ValueCountFrequency (%)
1198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 329
100.0%
Close Punctuation
ValueCountFrequency (%)
) 329
100.0%
Math Symbol
ValueCountFrequency (%)
+ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14595
84.2%
Common 2091
 
12.1%
Latin 649
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
541
 
3.7%
395
 
2.7%
394
 
2.7%
382
 
2.6%
381
 
2.6%
377
 
2.6%
325
 
2.2%
242
 
1.7%
223
 
1.5%
197
 
1.3%
Other values (559) 11138
76.3%
Latin
ValueCountFrequency (%)
R 60
 
9.2%
V 49
 
7.6%
A 38
 
5.9%
K 37
 
5.7%
N 33
 
5.1%
O 31
 
4.8%
G 25
 
3.9%
E 24
 
3.7%
S 23
 
3.5%
D 19
 
2.9%
Other values (40) 310
47.8%
Common
ValueCountFrequency (%)
1198
57.3%
( 329
 
15.7%
) 329
 
15.7%
2 49
 
2.3%
1 38
 
1.8%
0 24
 
1.1%
3 21
 
1.0%
& 17
 
0.8%
4 16
 
0.8%
+ 13
 
0.6%
Other values (11) 57
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14582
84.1%
ASCII 2737
 
15.8%
None 9
 
0.1%
Compat Jamo 6
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1198
43.8%
( 329
 
12.0%
) 329
 
12.0%
R 60
 
2.2%
V 49
 
1.8%
2 49
 
1.8%
1 38
 
1.4%
A 38
 
1.4%
K 37
 
1.4%
N 33
 
1.2%
Other values (59) 577
21.1%
Hangul
ValueCountFrequency (%)
541
 
3.7%
395
 
2.7%
394
 
2.7%
382
 
2.6%
381
 
2.6%
377
 
2.6%
325
 
2.2%
242
 
1.7%
223
 
1.5%
197
 
1.4%
Other values (556) 11125
76.3%
None
ValueCountFrequency (%)
7
77.8%
2
 
22.2%
Compat Jamo
ValueCountFrequency (%)
3
50.0%
3
50.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%

sitepostno
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1587 
지번우편번호
372 
483020
 
1

Length

Max length6
Median length4
Mean length4.3806122
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1587
81.0%
지번우편번호 372
 
19.0%
483020 1
 
0.1%

Length

2024-04-18T03:49:21.453775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:21.551203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1587
81.0%
지번우편번호 372
 
19.0%
483020 1
 
0.1%
Distinct1289
Distinct (%)65.9%
Missing4
Missing (%)0.2%
Memory size15.4 KiB
2024-04-18T03:49:21.818157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length26.559816
Min length15

Characters and Unicode

Total characters51951
Distinct characters516
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique958 ?
Unique (%)49.0%

Sample

1st row부산광역시 남구 대연동 948번지 1호
2nd row부산광역시 서구 부민동2가 1번지
3rd row부산광역시 부산진구 부전동 168번지 176호
4th row부산광역시 금정구 청룡동 546번지
5th row부산광역시 금정구 금성동 285번지
ValueCountFrequency (%)
경기도 454
 
4.3%
서울특별시 167
 
1.6%
인천광역시 166
 
1.6%
경상남도 159
 
1.5%
부산광역시 152
 
1.4%
경상북도 129
 
1.2%
전라남도 116
 
1.1%
전라북도 100
 
1.0%
강원도 100
 
1.0%
충청북도 88
 
0.8%
Other values (3318) 8889
84.5%
2024-04-18T03:49:22.238031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10399
 
20.0%
1 1807
 
3.5%
1807
 
3.5%
1710
 
3.3%
1438
 
2.8%
1334
 
2.6%
1226
 
2.4%
- 1221
 
2.4%
2 1177
 
2.3%
1111
 
2.1%
Other values (506) 28721
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31335
60.3%
Space Separator 10399
 
20.0%
Decimal Number 8614
 
16.6%
Dash Punctuation 1221
 
2.4%
Uppercase Letter 222
 
0.4%
Other Punctuation 60
 
0.1%
Close Punctuation 30
 
0.1%
Open Punctuation 30
 
0.1%
Math Symbol 19
 
< 0.1%
Lowercase Letter 13
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1807
 
5.8%
1710
 
5.5%
1438
 
4.6%
1334
 
4.3%
1226
 
3.9%
1111
 
3.5%
836
 
2.7%
668
 
2.1%
656
 
2.1%
649
 
2.1%
Other values (453) 19900
63.5%
Uppercase Letter
ValueCountFrequency (%)
B 44
19.8%
E 29
13.1%
A 20
9.0%
C 20
9.0%
G 13
 
5.9%
L 12
 
5.4%
T 12
 
5.4%
S 9
 
4.1%
K 9
 
4.1%
P 9
 
4.1%
Other values (15) 45
20.3%
Decimal Number
ValueCountFrequency (%)
1 1807
21.0%
2 1177
13.7%
0 833
9.7%
4 822
9.5%
3 796
9.2%
5 722
 
8.4%
6 721
 
8.4%
7 602
 
7.0%
8 570
 
6.6%
9 564
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
46.2%
h 3
23.1%
l 1
 
7.7%
w 1
 
7.7%
a 1
 
7.7%
c 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 45
75.0%
. 8
 
13.3%
" 6
 
10.0%
& 1
 
1.7%
Letter Number
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Space Separator
ValueCountFrequency (%)
10399
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31333
60.3%
Common 20373
39.2%
Latin 242
 
0.5%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1807
 
5.8%
1710
 
5.5%
1438
 
4.6%
1334
 
4.3%
1226
 
3.9%
1111
 
3.5%
836
 
2.7%
668
 
2.1%
656
 
2.1%
649
 
2.1%
Other values (453) 19898
63.5%
Latin
ValueCountFrequency (%)
B 44
18.2%
E 29
12.0%
A 20
 
8.3%
C 20
 
8.3%
G 13
 
5.4%
L 12
 
5.0%
T 12
 
5.0%
S 9
 
3.7%
K 9
 
3.7%
P 9
 
3.7%
Other values (23) 65
26.9%
Common
ValueCountFrequency (%)
10399
51.0%
1 1807
 
8.9%
- 1221
 
6.0%
2 1177
 
5.8%
0 833
 
4.1%
4 822
 
4.0%
3 796
 
3.9%
5 722
 
3.5%
6 721
 
3.5%
7 602
 
3.0%
Other values (9) 1273
 
6.2%
Han
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31332
60.3%
ASCII 20608
39.7%
Number Forms 7
 
< 0.1%
CJK 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10399
50.5%
1 1807
 
8.8%
- 1221
 
5.9%
2 1177
 
5.7%
0 833
 
4.0%
4 822
 
4.0%
3 796
 
3.9%
5 722
 
3.5%
6 721
 
3.5%
7 602
 
2.9%
Other values (40) 1508
 
7.3%
Hangul
ValueCountFrequency (%)
1807
 
5.8%
1710
 
5.5%
1438
 
4.6%
1334
 
4.3%
1226
 
3.9%
1111
 
3.5%
836
 
2.7%
668
 
2.1%
656
 
2.1%
649
 
2.1%
Other values (452) 19897
63.5%
Number Forms
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
CJK
ValueCountFrequency (%)
3
100.0%
None
ValueCountFrequency (%)
1
100.0%

rdnpostno
Text

MISSING 

Distinct967
Distinct (%)50.1%
Missing29
Missing (%)1.5%
Memory size15.4 KiB
2024-04-18T03:49:22.532248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0150181
Min length1

Characters and Unicode

Total characters9684
Distinct characters18
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique639 ?
Unique (%)33.1%

Sample

1st row48947
2nd row48947
3rd row48947
4th row48947
5th row48947
ValueCountFrequency (%)
48947 193
 
10.0%
도로명우편번호 18
 
0.9%
48060 16
 
0.8%
10390 14
 
0.7%
57221 12
 
0.6%
35204 10
 
0.5%
16464 9
 
0.5%
22303 9
 
0.5%
59723 9
 
0.5%
47296 8
 
0.4%
Other values (957) 1633
84.6%
2024-04-18T03:49:22.907395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1325
13.7%
1 1290
13.3%
2 1025
10.6%
5 949
9.8%
0 920
9.5%
3 882
9.1%
8 820
8.5%
7 796
8.2%
9 785
8.1%
6 764
7.9%
Other values (8) 128
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9556
98.7%
Other Letter 126
 
1.3%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1325
13.9%
1 1290
13.5%
2 1025
10.7%
5 949
9.9%
0 920
9.6%
3 882
9.2%
8 820
8.6%
7 796
8.3%
9 785
8.2%
6 764
8.0%
Other Letter
ValueCountFrequency (%)
18
14.3%
18
14.3%
18
14.3%
18
14.3%
18
14.3%
18
14.3%
18
14.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9556
98.7%
Hangul 126
 
1.3%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1325
13.9%
1 1290
13.5%
2 1025
10.7%
5 949
9.9%
0 920
9.6%
3 882
9.2%
8 820
8.6%
7 796
8.3%
9 785
8.2%
6 764
8.0%
Hangul
ValueCountFrequency (%)
18
14.3%
18
14.3%
18
14.3%
18
14.3%
18
14.3%
18
14.3%
18
14.3%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9558
98.7%
Hangul 126
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1325
13.9%
1 1290
13.5%
2 1025
10.7%
5 949
9.9%
0 920
9.6%
3 882
9.2%
8 820
8.6%
7 796
8.3%
9 785
8.2%
6 764
8.0%
Hangul
ValueCountFrequency (%)
18
14.3%
18
14.3%
18
14.3%
18
14.3%
18
14.3%
18
14.3%
18
14.3%

rdnwhladdr
Text

MISSING 

Distinct1278
Distinct (%)67.2%
Missing58
Missing (%)3.0%
Memory size15.4 KiB
2024-04-18T03:49:23.145708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length52
Mean length32.865931
Min length5

Characters and Unicode

Total characters62511
Distinct characters576
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique969 ?
Unique (%)50.9%

Sample

1st row부산광역시 남구 유엔평화로 63 (대연동)
2nd row부산광역시 서구 구덕로 225 (부민동2가)
3rd row부산광역시 부산진구 중앙대로702번길 21 (부전동)
4th row부산광역시 금정구 범어사로 250 (청룡동)
5th row부산광역시 금정구 죽전1길 29 (금성동)
ValueCountFrequency (%)
경기도 446
 
3.5%
2층 203
 
1.6%
인천광역시 163
 
1.3%
서울특별시 161
 
1.3%
경상남도 154
 
1.2%
부산광역시 152
 
1.2%
3층 144
 
1.1%
경상북도 120
 
0.9%
4층 109
 
0.9%
전라남도 107
 
0.8%
Other values (3786) 10882
86.1%
2024-04-18T03:49:23.489245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10744
 
17.2%
1 1951
 
3.1%
1876
 
3.0%
1842
 
2.9%
, 1787
 
2.9%
1698
 
2.7%
2 1511
 
2.4%
1478
 
2.4%
) 1436
 
2.3%
( 1436
 
2.3%
Other values (566) 36752
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36675
58.7%
Space Separator 10744
 
17.2%
Decimal Number 9437
 
15.1%
Other Punctuation 1805
 
2.9%
Close Punctuation 1437
 
2.3%
Open Punctuation 1437
 
2.3%
Dash Punctuation 505
 
0.8%
Uppercase Letter 394
 
0.6%
Math Symbol 55
 
0.1%
Lowercase Letter 14
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1876
 
5.1%
1842
 
5.0%
1698
 
4.6%
1478
 
4.0%
1119
 
3.1%
891
 
2.4%
852
 
2.3%
703
 
1.9%
664
 
1.8%
628
 
1.7%
Other values (509) 24924
68.0%
Uppercase Letter
ValueCountFrequency (%)
B 94
23.9%
C 53
13.5%
E 49
12.4%
A 42
10.7%
P 25
 
6.3%
G 19
 
4.8%
T 13
 
3.3%
L 12
 
3.0%
S 11
 
2.8%
K 10
 
2.5%
Other values (15) 66
16.8%
Decimal Number
ValueCountFrequency (%)
1 1951
20.7%
2 1511
16.0%
0 1188
12.6%
3 1059
11.2%
5 771
 
8.2%
4 769
 
8.1%
6 652
 
6.9%
7 575
 
6.1%
8 501
 
5.3%
9 460
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
42.9%
h 3
21.4%
g 1
 
7.1%
w 1
 
7.1%
c 1
 
7.1%
a 1
 
7.1%
l 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 1787
99.0%
. 9
 
0.5%
" 6
 
0.3%
& 2
 
0.1%
* 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1436
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1436
99.9%
[ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Space Separator
ValueCountFrequency (%)
10744
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 505
100.0%
Math Symbol
ValueCountFrequency (%)
~ 55
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36673
58.7%
Common 25420
40.7%
Latin 415
 
0.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1876
 
5.1%
1842
 
5.0%
1698
 
4.6%
1478
 
4.0%
1119
 
3.1%
891
 
2.4%
852
 
2.3%
703
 
1.9%
664
 
1.8%
628
 
1.7%
Other values (509) 24922
68.0%
Latin
ValueCountFrequency (%)
B 94
22.7%
C 53
12.8%
E 49
11.8%
A 42
10.1%
P 25
 
6.0%
G 19
 
4.6%
T 13
 
3.1%
L 12
 
2.9%
S 11
 
2.7%
K 10
 
2.4%
Other values (24) 87
21.0%
Common
ValueCountFrequency (%)
10744
42.3%
1 1951
 
7.7%
, 1787
 
7.0%
2 1511
 
5.9%
) 1436
 
5.6%
( 1436
 
5.6%
0 1188
 
4.7%
3 1059
 
4.2%
5 771
 
3.0%
4 769
 
3.0%
Other values (12) 2768
 
10.9%
Han
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36672
58.7%
ASCII 25828
41.3%
Number Forms 7
 
< 0.1%
CJK 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10744
41.6%
1 1951
 
7.6%
, 1787
 
6.9%
2 1511
 
5.9%
) 1436
 
5.6%
( 1436
 
5.6%
0 1188
 
4.6%
3 1059
 
4.1%
5 771
 
3.0%
4 769
 
3.0%
Other values (44) 3176
 
12.3%
Hangul
ValueCountFrequency (%)
1876
 
5.1%
1842
 
5.0%
1698
 
4.6%
1478
 
4.0%
1119
 
3.1%
891
 
2.4%
852
 
2.3%
703
 
1.9%
664
 
1.8%
628
 
1.7%
Other values (508) 24921
68.0%
Number Forms
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
CJK
ValueCountFrequency (%)
3
100.0%
None
ValueCountFrequency (%)
1
100.0%

apvpermymd
Real number (ℝ)

Distinct477
Distinct (%)24.4%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean20190308
Minimum19880528
Maximum20210127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.4 KiB
2024-04-18T03:49:23.614545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19880528
5-th percentile20181101
Q120190314
median20190726
Q320200218
95-th percentile20201106
Maximum20210127
Range329599
Interquartile range (IQR)9904.25

Descriptive statistics

Standard deviation21753.839
Coefficient of variation (CV)0.0010774397
Kurtosis124.94217
Mean20190308
Median Absolute Deviation (MAD)514
Skewness-10.280048
Sum3.9492242 × 1010
Variance4.7322953 × 108
MonotonicityNot monotonic
2024-04-18T03:49:23.931370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190726 31
 
1.6%
20191220 31
 
1.6%
20190719 30
 
1.5%
20190111 27
 
1.4%
20190503 27
 
1.4%
20190705 24
 
1.2%
20190118 24
 
1.2%
20190426 21
 
1.1%
20190517 19
 
1.0%
20191213 18
 
0.9%
Other values (467) 1704
86.9%
ValueCountFrequency (%)
19880528 4
0.2%
19921221 1
 
0.1%
19930729 1
 
0.1%
19961102 1
 
0.1%
20000812 1
 
0.1%
20001009 1
 
0.1%
20010319 1
 
0.1%
20011128 1
 
0.1%
20031008 1
 
0.1%
20041209 1
 
0.1%
ValueCountFrequency (%)
20210127 1
 
0.1%
20210125 1
 
0.1%
20210122 6
0.3%
20210120 1
 
0.1%
20210119 1
 
0.1%
20210118 1
 
0.1%
20210114 2
 
0.1%
20210112 1
 
0.1%
20210111 2
 
0.1%
20210108 6
0.3%

dcbymd
Text

MISSING 

Distinct132
Distinct (%)19.9%
Missing1297
Missing (%)66.2%
Memory size15.4 KiB
2024-04-18T03:49:24.157416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length5.8220211
Min length4

Characters and Unicode

Total characters3860
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)9.4%

Sample

1st row20190531
2nd row20190531
3rd row20190531
4th row20201111
5th row20181029
ValueCountFrequency (%)
폐업일자 361
54.4%
20200301 10
 
1.5%
20190825 10
 
1.5%
20190527 7
 
1.1%
20181029 6
 
0.9%
20200605 6
 
0.9%
20190818 6
 
0.9%
20190805 6
 
0.9%
20190826 6
 
0.9%
20190225 5
 
0.8%
Other values (122) 240
36.2%
2024-04-18T03:49:24.500235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 827
21.4%
2 636
16.5%
1 399
10.3%
361
9.4%
361
9.4%
361
9.4%
361
9.4%
9 201
 
5.2%
8 104
 
2.7%
5 77
 
2.0%
Other values (4) 172
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2416
62.6%
Other Letter 1444
37.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 827
34.2%
2 636
26.3%
1 399
16.5%
9 201
 
8.3%
8 104
 
4.3%
5 77
 
3.2%
3 75
 
3.1%
6 33
 
1.4%
7 32
 
1.3%
4 32
 
1.3%
Other Letter
ValueCountFrequency (%)
361
25.0%
361
25.0%
361
25.0%
361
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2416
62.6%
Hangul 1444
37.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 827
34.2%
2 636
26.3%
1 399
16.5%
9 201
 
8.3%
8 104
 
4.3%
5 77
 
3.2%
3 75
 
3.1%
6 33
 
1.4%
7 32
 
1.3%
4 32
 
1.3%
Hangul
ValueCountFrequency (%)
361
25.0%
361
25.0%
361
25.0%
361
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2416
62.6%
Hangul 1444
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 827
34.2%
2 636
26.3%
1 399
16.5%
9 201
 
8.3%
8 104
 
4.3%
5 77
 
3.2%
3 75
 
3.1%
6 33
 
1.4%
7 32
 
1.3%
4 32
 
1.3%
Hangul
ValueCountFrequency (%)
361
25.0%
361
25.0%
361
25.0%
361
25.0%

clgstdt
Categorical

IMBALANCE 

Distinct32
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1550 
휴업시작일자
371 
20210101
 
5
20201026
 
3
20200824
 
3
Other values (27)
 
28

Length

Max length8
Median length4
Mean length4.4545918
Min length3

Unique

Unique26 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1550
79.1%
휴업시작일자 371
 
18.9%
20210101 5
 
0.3%
20201026 3
 
0.2%
20200824 3
 
0.2%
20201109 2
 
0.1%
20190627 1
 
0.1%
20200515 1
 
0.1%
20200624 1
 
0.1%
20201220 1
 
0.1%
Other values (22) 22
 
1.1%

Length

2024-04-18T03:49:24.615019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1550
79.1%
휴업시작일자 371
 
18.9%
20210101 5
 
0.3%
20201026 3
 
0.2%
20200824 3
 
0.2%
20201109 2
 
0.1%
20201222 1
 
0.1%
20201216 1
 
0.1%
20200914 1
 
0.1%
20201102 1
 
0.1%
Other values (22) 22
 
1.1%

clgenddt
Categorical

IMBALANCE 

Distinct22
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1552 
휴업종료일자
371 
20210131
 
5
20210430
 
5
20210420
 
4
Other values (17)
 
23

Length

Max length8
Median length4
Mean length4.4540816
Min length4

Unique

Unique13 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1552
79.2%
휴업종료일자 371
 
18.9%
20210131 5
 
0.3%
20210430 5
 
0.3%
20210420 4
 
0.2%
20210531 3
 
0.2%
20210720 3
 
0.2%
20210228 2
 
0.1%
20210331 2
 
0.1%
20210614 1
 
0.1%
Other values (12) 12
 
0.6%

Length

2024-04-18T03:49:24.717042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1552
79.2%
휴업종료일자 371
 
18.9%
20210131 5
 
0.3%
20210430 5
 
0.3%
20210420 4
 
0.2%
20210531 3
 
0.2%
20210720 3
 
0.2%
20210228 2
 
0.1%
20210331 2
 
0.1%
20200421 1
 
0.1%
Other values (12) 12
 
0.6%

ropnymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
재개업일자
372 

Length

Max length5
Median length4
Mean length4.1897959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
재개업일자 372
 
19.0%

Length

2024-04-18T03:49:24.814681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:24.891662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
재개업일자 372
 
19.0%

trdstatenm
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
영업/정상
1536 
폐업
324 
휴업
 
40
1
 
20
<NA>
 
18
Other values (4)
 
22

Length

Max length14
Median length5
Mean length4.4173469
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row영업/정상
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
영업/정상 1536
78.4%
폐업 324
 
16.5%
휴업 40
 
2.0%
1 20
 
1.0%
<NA> 18
 
0.9%
제외/삭제/전출 10
 
0.5%
기타 5
 
0.3%
취소/말소/만료/정지/중지 4
 
0.2%
영업상태 3
 
0.2%

Length

2024-04-18T03:49:24.976071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:25.071180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1536
78.4%
폐업 324
 
16.5%
휴업 40
 
2.0%
1 20
 
1.0%
na 18
 
0.9%
제외/삭제/전출 10
 
0.5%
기타 5
 
0.3%
취소/말소/만료/정지/중지 4
 
0.2%
영업상태 3
 
0.2%

dtlstatenm
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
영업중
1409 
폐업
324 
영업
155 
휴업
 
40
<NA>
 
12
Other values (5)
 
20

Length

Max length7
Median length3
Mean length2.7479592
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1409
71.9%
폐업 324
 
16.5%
영업 155
 
7.9%
휴업 40
 
2.0%
<NA> 12
 
0.6%
전출 10
 
0.5%
조건이행완료 5
 
0.3%
직권말소 3
 
0.2%
허가취소 1
 
0.1%
상세영업상태명 1
 
0.1%

Length

2024-04-18T03:49:25.181986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:25.274131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1409
71.9%
폐업 324
 
16.5%
영업 155
 
7.9%
휴업 40
 
2.0%
na 12
 
0.6%
전출 10
 
0.5%
조건이행완료 5
 
0.3%
직권말소 3
 
0.2%
허가취소 1
 
0.1%
상세영업상태명 1
 
0.1%

x
Text

MISSING 

Distinct1144
Distinct (%)61.4%
Missing98
Missing (%)5.0%
Memory size15.4 KiB
2024-04-18T03:49:25.471392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.776584
Min length7

Characters and Unicode

Total characters36824
Distinct characters19
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique826 ?
Unique (%)44.4%

Sample

1st row391008.90715500000
2nd row384047.41688983
3rd row387744.56187800000
4th row388303.80706500000
5th row386960.13317900000
ValueCountFrequency (%)
좌표정보(x 32
 
1.7%
394457.407487917 16
 
0.9%
179760.765742 12
 
0.6%
234729.708066 10
 
0.5%
177158.311187542 10
 
0.5%
201131.707177722 9
 
0.5%
387608.014165034 8
 
0.4%
345549.11017 8
 
0.4%
382883.341064998 7
 
0.4%
210547.478739268 7
 
0.4%
Other values (1134) 1743
93.6%
2024-04-18T03:49:25.787655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9479
25.7%
1 2968
 
8.1%
2 2870
 
7.8%
3 2659
 
7.2%
7 2579
 
7.0%
0 2528
 
6.9%
8 2432
 
6.6%
4 2417
 
6.6%
6 2304
 
6.3%
9 2294
 
6.2%
Other values (9) 4294
11.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25331
68.8%
Space Separator 9479
 
25.7%
Other Punctuation 1790
 
4.9%
Other Letter 128
 
0.3%
Close Punctuation 32
 
0.1%
Uppercase Letter 32
 
0.1%
Open Punctuation 32
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2968
11.7%
2 2870
11.3%
3 2659
10.5%
7 2579
10.2%
0 2528
10.0%
8 2432
9.6%
4 2417
9.5%
6 2304
9.1%
9 2294
9.1%
5 2280
9.0%
Other Letter
ValueCountFrequency (%)
32
25.0%
32
25.0%
32
25.0%
32
25.0%
Space Separator
ValueCountFrequency (%)
9479
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1790
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36664
99.6%
Hangul 128
 
0.3%
Latin 32
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9479
25.9%
1 2968
 
8.1%
2 2870
 
7.8%
3 2659
 
7.3%
7 2579
 
7.0%
0 2528
 
6.9%
8 2432
 
6.6%
4 2417
 
6.6%
6 2304
 
6.3%
9 2294
 
6.3%
Other values (4) 4134
11.3%
Hangul
ValueCountFrequency (%)
32
25.0%
32
25.0%
32
25.0%
32
25.0%
Latin
ValueCountFrequency (%)
X 32
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36696
99.7%
Hangul 128
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9479
25.8%
1 2968
 
8.1%
2 2870
 
7.8%
3 2659
 
7.2%
7 2579
 
7.0%
0 2528
 
6.9%
8 2432
 
6.6%
4 2417
 
6.6%
6 2304
 
6.3%
9 2294
 
6.3%
Other values (5) 4166
11.4%
Hangul
ValueCountFrequency (%)
32
25.0%
32
25.0%
32
25.0%
32
25.0%

y
Text

MISSING 

Distinct1145
Distinct (%)61.4%
Missing96
Missing (%)4.9%
Memory size15.4 KiB
2024-04-18T03:49:25.992709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.775751
Min length7

Characters and Unicode

Total characters36862
Distinct characters21
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique826 ?
Unique (%)44.3%

Sample

1st row183520.00335200000
2nd row180228.452549615
3rd row186296.09030300000
4th row200687.21863900000
5th row197033.36238800000
ValueCountFrequency (%)
좌표정보(y 32
 
1.7%
187231.530457387 16
 
0.9%
200615.222426 12
 
0.6%
318634.956535 10
 
0.5%
462546.660972252 10
 
0.5%
418721.576288345 9
 
0.5%
185703.079007724 8
 
0.4%
268620.845678 8
 
0.4%
204962.55596119 7
 
0.4%
413684.298219281 7
 
0.4%
Other values (1136) 1747
93.6%
2024-04-18T03:49:26.301804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9448
25.6%
4 3186
 
8.6%
2 2795
 
7.6%
1 2705
 
7.3%
3 2557
 
6.9%
5 2458
 
6.7%
0 2409
 
6.5%
8 2383
 
6.5%
9 2327
 
6.3%
7 2307
 
6.3%
Other values (11) 4287
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25355
68.8%
Space Separator 9448
 
25.6%
Other Punctuation 1794
 
4.9%
Other Letter 128
 
0.3%
Dash Punctuation 41
 
0.1%
Close Punctuation 32
 
0.1%
Uppercase Letter 32
 
0.1%
Open Punctuation 32
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3186
12.6%
2 2795
11.0%
1 2705
10.7%
3 2557
10.1%
5 2458
9.7%
0 2409
9.5%
8 2383
9.4%
9 2327
9.2%
7 2307
9.1%
6 2228
8.8%
Other Letter
ValueCountFrequency (%)
32
25.0%
32
25.0%
32
25.0%
32
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1790
99.8%
: 4
 
0.2%
Space Separator
ValueCountFrequency (%)
9448
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36702
99.6%
Hangul 128
 
0.3%
Latin 32
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9448
25.7%
4 3186
 
8.7%
2 2795
 
7.6%
1 2705
 
7.4%
3 2557
 
7.0%
5 2458
 
6.7%
0 2409
 
6.6%
8 2383
 
6.5%
9 2327
 
6.3%
7 2307
 
6.3%
Other values (6) 4127
11.2%
Hangul
ValueCountFrequency (%)
32
25.0%
32
25.0%
32
25.0%
32
25.0%
Latin
ValueCountFrequency (%)
Y 32
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36734
99.7%
Hangul 128
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9448
25.7%
4 3186
 
8.7%
2 2795
 
7.6%
1 2705
 
7.4%
3 2557
 
7.0%
5 2458
 
6.7%
0 2409
 
6.6%
8 2383
 
6.5%
9 2327
 
6.3%
7 2307
 
6.3%
Other values (7) 4159
11.3%
Hangul
ValueCountFrequency (%)
32
25.0%
32
25.0%
32
25.0%
32
25.0%

lastmodts
Real number (ℝ)

Distinct1382
Distinct (%)70.7%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2.0196117 × 1013
Minimum2.0111031 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.4 KiB
2024-04-18T03:49:26.423844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0111031 × 1013
5-th percentile2.0181217 × 1013
Q12.0190712 × 1013
median2.0200218 × 1013
Q32.0200922 × 1013
95-th percentile2.0210105 × 1013
Maximum2.0210129 × 1013
Range9.9098057 × 1010
Interquartile range (IQR)1.0210017 × 1010

Descriptive statistics

Standard deviation7.7819771 × 109
Coefficient of variation (CV)0.00038532045
Kurtosis25.026148
Mean2.0196117 × 1013
Median Absolute Deviation (MAD)1.0130137 × 109
Skewness-2.5831403
Sum3.9503605 × 1016
Variance6.0559167 × 1019
MonotonicityNot monotonic
2024-04-18T03:49:26.527855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200806152510 4
 
0.2%
20200629141054 4
 
0.2%
20190611084759 3
 
0.2%
20190614111445 3
 
0.2%
20190614090326 3
 
0.2%
20200317182435 3
 
0.2%
20200210172653 3
 
0.2%
20190607155825 3
 
0.2%
20190607145846 3
 
0.2%
20200515111820 3
 
0.2%
Other values (1372) 1924
98.2%
(Missing) 4
 
0.2%
ValueCountFrequency (%)
20111031085821 1
0.1%
20111031090155 1
0.1%
20111031090544 1
0.1%
20121017132939 1
0.1%
20180417125713 1
0.1%
20180531101321 1
0.1%
20180703175700 1
0.1%
20180703175718 1
0.1%
20180703175820 1
0.1%
20180703181632 1
0.1%
ValueCountFrequency (%)
20210129142718 1
0.1%
20210129141843 2
0.1%
20210128083451 1
0.1%
20210127180100 1
0.1%
20210127175813 1
0.1%
20210127144225 1
0.1%
20210127111844 2
0.1%
20210127111339 1
0.1%
20210127111228 1
0.1%
20210127111133 1
0.1%

uptaenm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
업태구분명
372 

Length

Max length5
Median length4
Mean length4.1897959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
업태구분명 372
 
19.0%

Length

2024-04-18T03:49:26.636186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:26.730344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
업태구분명 372
 
19.0%

sitetel
Text

MISSING 

Distinct169
Distinct (%)9.5%
Missing182
Missing (%)9.3%
Memory size15.4 KiB
2024-04-18T03:49:27.004849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.716535
Min length4

Characters and Unicode

Total characters20832
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)6.9%

Sample

1st row051-123-1234
2nd row051-123-1234
3rd row051-123-1234
4th row051-123-1234
5th row051-123-1234
ValueCountFrequency (%)
051-123-1234 1476
83.0%
전화번호 58
 
3.3%
031-245-5100 5
 
0.3%
053-282-0167 4
 
0.2%
031-484-0061 3
 
0.2%
042-824-8243 3
 
0.2%
0221760591 3
 
0.2%
042-364-0088 3
 
0.2%
054-460-5000 3
 
0.2%
063-290-6660 3
 
0.2%
Other values (159) 217
 
12.2%
2024-04-18T03:49:27.420181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4640
22.3%
- 3371
16.2%
2 3248
15.6%
3 3227
15.5%
0 1986
9.5%
5 1724
 
8.3%
4 1697
 
8.1%
6 244
 
1.2%
8 173
 
0.8%
7 161
 
0.8%
Other values (7) 361
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17225
82.7%
Dash Punctuation 3371
 
16.2%
Other Letter 232
 
1.1%
Other Punctuation 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4640
26.9%
2 3248
18.9%
3 3227
18.7%
0 1986
11.5%
5 1724
 
10.0%
4 1697
 
9.9%
6 244
 
1.4%
8 173
 
1.0%
7 161
 
0.9%
9 125
 
0.7%
Other Letter
ValueCountFrequency (%)
58
25.0%
58
25.0%
58
25.0%
58
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 3371
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20600
98.9%
Hangul 232
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4640
22.5%
- 3371
16.4%
2 3248
15.8%
3 3227
15.7%
0 1986
9.6%
5 1724
 
8.4%
4 1697
 
8.2%
6 244
 
1.2%
8 173
 
0.8%
7 161
 
0.8%
Other values (3) 129
 
0.6%
Hangul
ValueCountFrequency (%)
58
25.0%
58
25.0%
58
25.0%
58
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20600
98.9%
Hangul 232
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4640
22.5%
- 3371
16.4%
2 3248
15.8%
3 3227
15.7%
0 1986
9.6%
5 1724
 
8.4%
4 1697
 
8.2%
6 244
 
1.2%
8 173
 
0.8%
7 161
 
0.8%
Other values (3) 129
 
0.6%
Hangul
ValueCountFrequency (%)
58
25.0%
58
25.0%
58
25.0%
58
25.0%

openymd
Text

MISSING 

Distinct87
Distinct (%)20.0%
Missing1524
Missing (%)77.8%
Memory size15.4 KiB
2024-04-18T03:49:27.633787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.9633028
Min length4

Characters and Unicode

Total characters2164
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)17.2%

Sample

1st row19780711
2nd row20150325
3rd row20060525
4th row20030323
5th row20090123
ValueCountFrequency (%)
개관일자 331
75.9%
20181012 4
 
0.9%
20191220 3
 
0.7%
20200410 3
 
0.7%
20190802 3
 
0.7%
20181022 3
 
0.7%
20150716 3
 
0.7%
20171026 3
 
0.7%
20201204 2
 
0.5%
20201023 2
 
0.5%
Other values (77) 79
 
18.1%
2024-04-18T03:49:27.972077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
331
15.3%
331
15.3%
331
15.3%
331
15.3%
0 264
12.2%
2 187
8.6%
1 176
8.1%
9 51
 
2.4%
6 33
 
1.5%
8 31
 
1.4%
Other values (4) 98
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1324
61.2%
Decimal Number 840
38.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 264
31.4%
2 187
22.3%
1 176
21.0%
9 51
 
6.1%
6 33
 
3.9%
8 31
 
3.7%
5 25
 
3.0%
7 25
 
3.0%
4 24
 
2.9%
3 24
 
2.9%
Other Letter
ValueCountFrequency (%)
331
25.0%
331
25.0%
331
25.0%
331
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1324
61.2%
Common 840
38.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 264
31.4%
2 187
22.3%
1 176
21.0%
9 51
 
6.1%
6 33
 
3.9%
8 31
 
3.7%
5 25
 
3.0%
7 25
 
3.0%
4 24
 
2.9%
3 24
 
2.9%
Hangul
ValueCountFrequency (%)
331
25.0%
331
25.0%
331
25.0%
331
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1324
61.2%
ASCII 840
38.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
331
25.0%
331
25.0%
331
25.0%
331
25.0%
ASCII
ValueCountFrequency (%)
0 264
31.4%
2 187
22.3%
1 176
21.0%
9 51
 
6.1%
6 33
 
3.9%
8 31
 
3.7%
5 25
 
3.0%
7 25
 
3.0%
4 24
 
2.9%
3 24
 
2.9%

stroomcnt
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
객실수
372 

Length

Max length4
Median length4
Mean length3.8102041
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
객실수 372
 
19.0%

Length

2024-04-18T03:49:28.084476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:28.158743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
객실수 372
 
19.0%

bdngsrvnm
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1467 
건물용도명
348 
근린생활시설
 
82
문화시설
 
21
기타
 
19
Other values (4)
 
23

Length

Max length6
Median length4
Mean length4.2454082
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1467
74.8%
건물용도명 348
 
17.8%
근린생활시설 82
 
4.2%
문화시설 21
 
1.1%
기타 19
 
1.0%
체육시설 12
 
0.6%
숙박시설 6
 
0.3%
교육연구시설 4
 
0.2%
사무실 1
 
0.1%

Length

2024-04-18T03:49:28.254033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:28.352530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1467
74.8%
건물용도명 348
 
17.8%
근린생활시설 82
 
4.2%
문화시설 21
 
1.1%
기타 19
 
1.0%
체육시설 12
 
0.6%
숙박시설 6
 
0.3%
교육연구시설 4
 
0.2%
사무실 1
 
0.1%

cnstyarea
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1587 
건축연면적
372 
3499
 
1

Length

Max length5
Median length4
Mean length4.1897959
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1587
81.0%
건축연면적 372
 
19.0%
3499 1
 
0.1%

Length

2024-04-18T03:49:28.452528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:28.529088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1587
81.0%
건축연면적 372
 
19.0%
3499 1
 
0.1%

svnsr
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
기념품종류
372 

Length

Max length5
Median length4
Mean length4.1897959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
기념품종류 372
 
19.0%

Length

2024-04-18T03:49:28.610951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:28.686704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
기념품종류 372
 
19.0%

plninsurstdt
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1587 
기획여행보험시작일자
372 
20180831
 
1

Length

Max length10
Median length4
Mean length5.1408163
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1587
81.0%
기획여행보험시작일자 372
 
19.0%
20180831 1
 
0.1%

Length

2024-04-18T03:49:28.767798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:28.847868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1587
81.0%
기획여행보험시작일자 372
 
19.0%
20180831 1
 
0.1%

plninsurenddt
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1587 
기획여행보험종료일자
372 
20190831
 
1

Length

Max length10
Median length4
Mean length5.1408163
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1587
81.0%
기획여행보험종료일자 372
 
19.0%
20190831 1
 
0.1%

Length

2024-04-18T03:49:28.932421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:29.011384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1587
81.0%
기획여행보험종료일자 372
 
19.0%
20190831 1
 
0.1%

playutscntdtl
Text

MISSING 

Distinct223
Distinct (%)31.8%
Missing1258
Missing (%)64.2%
Memory size15.4 KiB
2024-04-18T03:49:29.276527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length7
Mean length14.742165
Min length2

Characters and Unicode

Total characters10349
Distinct characters308
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)21.5%

Sample

1st row붕붕뜀틀 3대
2nd row미니바이킹 1대
3rd row미니바이킹 1대
4th row미니바이킹 1대
5th row놀이기구수내역
ValueCountFrequency (%)
놀이기구수내역 342
 
19.1%
1대 78
 
4.4%
1종 70
 
3.9%
2종 47
 
2.6%
대상 42
 
2.3%
유기기구 41
 
2.3%
붕붕뜀틀 34
 
1.9%
안전성검사 31
 
1.7%
안전성검사대상 30
 
1.7%
3종 28
 
1.6%
Other values (411) 1048
58.5%
2024-04-18T03:49:29.688195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1127
 
10.9%
512
 
4.9%
509
 
4.9%
1 420
 
4.1%
398
 
3.8%
391
 
3.8%
369
 
3.6%
369
 
3.6%
350
 
3.4%
342
 
3.3%
Other values (298) 5562
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6999
67.6%
Decimal Number 1279
 
12.4%
Space Separator 1127
 
10.9%
Other Punctuation 433
 
4.2%
Close Punctuation 163
 
1.6%
Open Punctuation 163
 
1.6%
Lowercase Letter 76
 
0.7%
Dash Punctuation 56
 
0.5%
Uppercase Letter 33
 
0.3%
Other Symbol 18
 
0.2%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
512
 
7.3%
509
 
7.3%
398
 
5.7%
391
 
5.6%
369
 
5.3%
369
 
5.3%
350
 
5.0%
342
 
4.9%
251
 
3.6%
185
 
2.6%
Other values (247) 3323
47.5%
Lowercase Letter
ValueCountFrequency (%)
o 9
11.8%
r 9
11.8%
n 8
10.5%
a 8
10.5%
m 7
9.2%
c 6
7.9%
v 6
7.9%
e 6
7.9%
h 4
 
5.3%
s 3
 
3.9%
Other values (7) 10
13.2%
Decimal Number
ValueCountFrequency (%)
1 420
32.8%
2 259
20.3%
0 158
 
12.4%
3 106
 
8.3%
4 75
 
5.9%
5 66
 
5.2%
9 52
 
4.1%
8 51
 
4.0%
6 48
 
3.8%
7 44
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
V 7
21.2%
R 7
21.2%
F 4
12.1%
X 4
12.1%
M 3
9.1%
I 3
9.1%
S 3
9.1%
O 1
 
3.0%
U 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 253
58.4%
. 101
 
23.3%
: 47
 
10.9%
/ 26
 
6.0%
@ 6
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 161
98.8%
] 2
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 161
98.8%
[ 2
 
1.2%
Other Symbol
ValueCountFrequency (%)
15
83.3%
3
 
16.7%
Space Separator
ValueCountFrequency (%)
1127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6999
67.6%
Common 3241
31.3%
Latin 109
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
512
 
7.3%
509
 
7.3%
398
 
5.7%
391
 
5.6%
369
 
5.3%
369
 
5.3%
350
 
5.0%
342
 
4.9%
251
 
3.6%
185
 
2.6%
Other values (247) 3323
47.5%
Latin
ValueCountFrequency (%)
o 9
 
8.3%
r 9
 
8.3%
n 8
 
7.3%
a 8
 
7.3%
m 7
 
6.4%
V 7
 
6.4%
R 7
 
6.4%
c 6
 
5.5%
v 6
 
5.5%
e 6
 
5.5%
Other values (16) 36
33.0%
Common
ValueCountFrequency (%)
1127
34.8%
1 420
 
13.0%
2 259
 
8.0%
, 253
 
7.8%
) 161
 
5.0%
( 161
 
5.0%
0 158
 
4.9%
3 106
 
3.3%
. 101
 
3.1%
4 75
 
2.3%
Other values (15) 420
 
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6999
67.6%
ASCII 3332
32.2%
CJK Compat 15
 
0.1%
Misc Symbols 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1127
33.8%
1 420
 
12.6%
2 259
 
7.8%
, 253
 
7.6%
) 161
 
4.8%
( 161
 
4.8%
0 158
 
4.7%
3 106
 
3.2%
. 101
 
3.0%
4 75
 
2.3%
Other values (39) 511
15.3%
Hangul
ValueCountFrequency (%)
512
 
7.3%
509
 
7.3%
398
 
5.7%
391
 
5.6%
369
 
5.3%
369
 
5.3%
350
 
5.0%
342
 
4.9%
251
 
3.6%
185
 
2.6%
Other values (247) 3323
47.5%
CJK Compat
ValueCountFrequency (%)
15
100.0%
Misc Symbols
ValueCountFrequency (%)
3
100.0%

playfacilcnt
Categorical

IMBALANCE 

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1144 
1
266 
놀이시설수
262 
2
118 
3
 
44
Other values (15)
126 

Length

Max length5
Median length4
Mean length3.294898
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1144
58.4%
1 266
 
13.6%
놀이시설수 262
 
13.4%
2 118
 
6.0%
3 44
 
2.2%
5 42
 
2.1%
4 37
 
1.9%
0 9
 
0.5%
8 6
 
0.3%
7 5
 
0.3%
Other values (10) 27
 
1.4%

Length

2024-04-18T03:49:29.802490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1144
58.4%
1 266
 
13.6%
놀이시설수 262
 
13.4%
2 118
 
6.0%
3 44
 
2.2%
5 42
 
2.1%
4 37
 
1.9%
0 9
 
0.5%
8 6
 
0.3%
6 5
 
0.3%
Other values (10) 27
 
1.4%

stagear
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
무대면적
372 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
무대면적 372
 
19.0%

Length

2024-04-18T03:49:29.894404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:29.977988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
무대면적 372
 
19.0%

culwrkrsenm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
문화사업자구분명
372 

Length

Max length8
Median length4
Mean length4.7591837
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
문화사업자구분명 372
 
19.0%

Length

2024-04-18T03:49:30.061038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:30.141332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
문화사업자구분명 372
 
19.0%

culphyedcobnm
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
신고유원시설업
1484 
허가유원시설업
247 
박물관
 
69
여행업
 
44
미술관
 
36
Other values (8)
 
80

Length

Max length8
Median length7
Mean length6.6505102
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row박물관
2nd row미술관
3rd row박물관
4th row박물관
5th row미술관

Common Values

ValueCountFrequency (%)
신고유원시설업 1484
75.7%
허가유원시설업 247
 
12.6%
박물관 69
 
3.5%
여행업 44
 
2.2%
미술관 36
 
1.8%
<NA> 19
 
1.0%
전문휴양업 16
 
0.8%
관광순환버스업 13
 
0.7%
문화체육업종명 10
 
0.5%
관광궤도업 6
 
0.3%
Other values (3) 16
 
0.8%

Length

2024-04-18T03:49:30.232563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신고유원시설업 1484
75.7%
허가유원시설업 247
 
12.6%
박물관 69
 
3.5%
여행업 44
 
2.2%
미술관 36
 
1.8%
na 19
 
1.0%
전문휴양업 16
 
0.8%
관광순환버스업 13
 
0.7%
문화체육업종명 10
 
0.5%
관광궤도업 6
 
0.3%
Other values (3) 16
 
0.8%

museumkindnm
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1526 
박물관미술관유형명
331 
전문박물관
 
48
미술관
 
33
종합박물관
 
9
Other values (6)
 
13

Length

Max length9
Median length4
Mean length4.8505102
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row종합박물관
2nd row미술관
3rd row종합박물관
4th row전문박물관
5th row미술관

Common Values

ValueCountFrequency (%)
<NA> 1526
77.9%
박물관미술관유형명 331
 
16.9%
전문박물관 48
 
2.4%
미술관 33
 
1.7%
종합박물관 9
 
0.5%
전시관 5
 
0.3%
문화관 2
 
0.1%
전시장 2
 
0.1%
기념관 2
 
0.1%
문화의집 1
 
0.1%

Length

2024-04-18T03:49:30.329530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1526
77.9%
박물관미술관유형명 331
 
16.9%
전문박물관 48
 
2.4%
미술관 33
 
1.7%
종합박물관 9
 
0.5%
전시관 5
 
0.3%
문화관 2
 
0.1%
전시장 2
 
0.1%
기념관 2
 
0.1%
문화의집 1
 
0.1%

museumsortnm
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1524 
박물관미술관종류명
331 
1종
 
91
2종
 
14

Length

Max length9
Median length4
Mean length4.7372449
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1종
2nd row1종
3rd row1종
4th row1종
5th row1종

Common Values

ValueCountFrequency (%)
<NA> 1524
77.8%
박물관미술관종류명 331
 
16.9%
1종 91
 
4.6%
2종 14
 
0.7%

Length

2024-04-18T03:49:30.427356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:30.510629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1524
77.8%
박물관미술관종류명 331
 
16.9%
1종 91
 
4.6%
2종 14
 
0.7%

geicpfacilen
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1508 
362 
Y
 
90

Length

Max length4
Median length4
Mean length3.3081633
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1508
76.9%
362
 
18.5%
Y 90
 
4.6%

Length

2024-04-18T03:49:30.601530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:30.682430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1508
76.9%
362
 
18.5%
y 90
 
4.6%

bcfacilen
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1441 
359 
Y
160 

Length

Max length4
Median length4
Mean length3.2056122
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1441
73.5%
359
 
18.3%
Y 160
 
8.2%

Length

2024-04-18T03:49:30.767800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:30.851305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1441
73.5%
359
 
18.3%
y 160
 
8.2%

bupnm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
법인명
372 

Length

Max length4
Median length4
Mean length3.8102041
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
법인명 372
 
19.0%

Length

2024-04-18T03:49:30.932916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:31.035925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
법인명 372
 
19.0%

bupesbmntobj
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
법인설립목적
372 

Length

Max length6
Median length4
Mean length4.3795918
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
법인설립목적 372
 
19.0%

Length

2024-04-18T03:49:31.127063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:31.216058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
법인설립목적 372
 
19.0%

bupdisorgymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
법인해산일자
372 

Length

Max length6
Median length4
Mean length4.3795918
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
법인해산일자 372
 
19.0%

Length

2024-04-18T03:49:31.307822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:31.631010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
법인해산일자 372
 
19.0%

insurorgnm
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1577 
보험기관명
372 
서울보증보험주식회사
 
7
서울보증보험
 
3
한국관광협회중앙회
 
1

Length

Max length10
Median length4
Mean length4.2168367
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1577
80.5%
보험기관명 372
 
19.0%
서울보증보험주식회사 7
 
0.4%
서울보증보험 3
 
0.2%
한국관광협회중앙회 1
 
0.1%

Length

2024-04-18T03:49:31.710907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:31.793411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1577
80.5%
보험기관명 372
 
19.0%
서울보증보험주식회사 7
 
0.4%
서울보증보험 3
 
0.2%
한국관광협회중앙회 1
 
0.1%

insurstdt
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1576 
보험시작일자
372 
20200207
 
6
20190405
 
3
20190607
 
2

Length

Max length8
Median length4
Mean length4.4040816
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1576
80.4%
보험시작일자 372
 
19.0%
20200207 6
 
0.3%
20190405 3
 
0.2%
20190607 2
 
0.1%
20181115 1
 
0.1%

Length

2024-04-18T03:49:31.892802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:31.981144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
80.4%
보험시작일자 372
 
19.0%
20200207 6
 
0.3%
20190405 3
 
0.2%
20190607 2
 
0.1%
20181115 1
 
0.1%

insurenddt
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1576 
보험종료일자
372 
20210206
 
6
20200404
 
3
20200606
 
2

Length

Max length8
Median length4
Mean length4.4040816
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1576
80.4%
보험종료일자 372
 
19.0%
20210206 6
 
0.3%
20200404 3
 
0.2%
20200606 2
 
0.1%
20191114 1
 
0.1%

Length

2024-04-18T03:49:32.075999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:32.168536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
80.4%
보험종료일자 372
 
19.0%
20210206 6
 
0.3%
20200404 3
 
0.2%
20200606 2
 
0.1%
20191114 1
 
0.1%

afc
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1579 
부대시설내역
371 
기존10m2 고쇼투어(국내,국외), 자본금 국내,국외포함금
 
3
기존10m2 고쇼투어(국내,국외), 자본금 국내,국외 포함금액임
 
3
국내, 국외여행업 자본기준: 4천5백만원
 
2
Other values (2)
 
2

Length

Max length44
Median length4
Mean length4.5188776
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1579
80.6%
부대시설내역 371
 
18.9%
기존10m2 고쇼투어(국내,국외), 자본금 국내,국외포함금 3
 
0.2%
기존10m2 고쇼투어(국내,국외), 자본금 국내,국외 포함금액임 3
 
0.2%
국내, 국외여행업 자본기준: 4천5백만원 2
 
0.1%
국외여행업운영(국외여행업포함 자본금4500만원) 1
 
0.1%
사이트 62개, 관리사무소(632.88m2),어린이종합놀이터,발물놀이터,바닥분수 1
 
0.1%

Length

2024-04-18T03:49:32.264833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:32.362623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1579
79.3%
부대시설내역 371
 
18.6%
기존10m2 6
 
0.3%
고쇼투어(국내,국외 6
 
0.3%
자본금 6
 
0.3%
국내,국외포함금 3
 
0.2%
국내,국외 3
 
0.2%
포함금액임 3
 
0.2%
자본기준 2
 
0.1%
4천5백만원 2
 
0.1%
Other values (7) 9
 
0.5%

shpinfo
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
선박제원
372 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
선박제원 372
 
19.0%

Length

2024-04-18T03:49:32.464329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:32.537790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
선박제원 372
 
19.0%

shpcnt
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
선박척수
372 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
선박척수 372
 
19.0%

Length

2024-04-18T03:49:32.612648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:32.682558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
선박척수 372
 
19.0%

shptottons
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
선박총톤수
372 

Length

Max length5
Median length4
Mean length4.1897959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
선박총톤수 372
 
19.0%

Length

2024-04-18T03:49:32.765166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:32.845298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
선박총톤수 372
 
19.0%

mngmbdnm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1524 
설립_운영주체구분명
331 
사립
 
53
공립
 
41
대학
 
8

Length

Max length10
Median length4
Mean length4.9061224
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국립
2nd row대학
3rd row사립
4th row사립
5th row사립

Common Values

ValueCountFrequency (%)
<NA> 1524
77.8%
설립_운영주체구분명 331
 
16.9%
사립 53
 
2.7%
공립 41
 
2.1%
대학 8
 
0.4%
국립 3
 
0.2%

Length

2024-04-18T03:49:32.933886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:33.026741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1524
77.8%
설립_운영주체구분명 331
 
16.9%
사립 53
 
2.7%
공립 41
 
2.1%
대학 8
 
0.4%
국립 3
 
0.2%

ndloan
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1585 
소요자금
372 
0
 
3

Length

Max length4
Median length4
Mean length3.9954082
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1585
80.9%
소요자금 372
 
19.0%
0 3
 
0.2%

Length

2024-04-18T03:49:33.122685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:33.201399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1585
80.9%
소요자금 372
 
19.0%
0 3
 
0.2%

monknum
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1586 
승려수
372 
7
 
2

Length

Max length4
Median length4
Mean length3.8071429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1586
80.9%
승려수 372
 
19.0%
7 2
 
0.1%

Length

2024-04-18T03:49:33.286202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:33.382870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1586
80.9%
승려수 372
 
19.0%
7 2
 
0.1%

facilscp
Text

MISSING 

Distinct182
Distinct (%)28.1%
Missing1313
Missing (%)67.0%
Memory size15.4 KiB
2024-04-18T03:49:33.665836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.6166924
Min length1

Characters and Unicode

Total characters2340
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)17.5%

Sample

1st row32
2nd row32
3rd row32
4th row46
5th row시설규모
ValueCountFrequency (%)
시설규모 342
52.9%
234 6
 
0.9%
164 6
 
0.9%
7719 4
 
0.6%
474 4
 
0.6%
76 4
 
0.6%
500 4
 
0.6%
301 3
 
0.5%
3685 3
 
0.5%
372 3
 
0.5%
Other values (172) 268
41.4%
2024-04-18T03:49:34.055023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
342
14.6%
342
14.6%
342
14.6%
342
14.6%
2 136
 
5.8%
1 133
 
5.7%
4 133
 
5.7%
3 128
 
5.5%
7 87
 
3.7%
8 85
 
3.6%
Other values (4) 270
11.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1368
58.5%
Decimal Number 972
41.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 136
14.0%
1 133
13.7%
4 133
13.7%
3 128
13.2%
7 87
9.0%
8 85
8.7%
6 77
7.9%
0 71
7.3%
9 61
6.3%
5 61
6.3%
Other Letter
ValueCountFrequency (%)
342
25.0%
342
25.0%
342
25.0%
342
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1368
58.5%
Common 972
41.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 136
14.0%
1 133
13.7%
4 133
13.7%
3 128
13.2%
7 87
9.0%
8 85
8.7%
6 77
7.9%
0 71
7.3%
9 61
6.3%
5 61
6.3%
Hangul
ValueCountFrequency (%)
342
25.0%
342
25.0%
342
25.0%
342
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1368
58.5%
ASCII 972
41.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
342
25.0%
342
25.0%
342
25.0%
342
25.0%
ASCII
ValueCountFrequency (%)
2 136
14.0%
1 133
13.7%
4 133
13.7%
3 128
13.2%
7 87
9.0%
8 85
8.7%
6 77
7.9%
0 71
7.3%
9 61
6.3%
5 61
6.3%

facilar
Text

MISSING 

Distinct202
Distinct (%)31.2%
Missing1313
Missing (%)67.0%
Memory size15.4 KiB
2024-04-18T03:49:34.371515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.4204019
Min length2

Characters and Unicode

Total characters2860
Distinct characters15
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

Unique146 ?
Unique (%)22.6%

Sample

1st row31.5
2nd row31.5
3rd row31.5
4th row46.1
5th row시설면적
ValueCountFrequency (%)
시설면적 342
52.9%
500 4
 
0.6%
7719 4
 
0.6%
6461.79 3
 
0.5%
878.75 3
 
0.5%
864.45 3
 
0.5%
1470 3
 
0.5%
156.08 3
 
0.5%
233.59 3
 
0.5%
287 3
 
0.5%
Other values (192) 276
42.7%
2024-04-18T03:49:34.797164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
342
12.0%
342
12.0%
342
12.0%
342
12.0%
. 194
 
6.8%
3 175
 
6.1%
1 170
 
5.9%
4 160
 
5.6%
2 157
 
5.5%
8 132
 
4.6%
Other values (5) 504
17.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1368
47.8%
Decimal Number 1298
45.4%
Other Punctuation 194
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 175
13.5%
1 170
13.1%
4 160
12.3%
2 157
12.1%
8 132
10.2%
7 116
8.9%
6 112
8.6%
5 110
8.5%
0 85
6.5%
9 81
6.2%
Other Letter
ValueCountFrequency (%)
342
25.0%
342
25.0%
342
25.0%
342
25.0%
Other Punctuation
ValueCountFrequency (%)
. 194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1492
52.2%
Hangul 1368
47.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 194
13.0%
3 175
11.7%
1 170
11.4%
4 160
10.7%
2 157
10.5%
8 132
8.8%
7 116
7.8%
6 112
7.5%
5 110
7.4%
0 85
5.7%
Hangul
ValueCountFrequency (%)
342
25.0%
342
25.0%
342
25.0%
342
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1492
52.2%
Hangul 1368
47.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
342
25.0%
342
25.0%
342
25.0%
342
25.0%
ASCII
ValueCountFrequency (%)
. 194
13.0%
3 175
11.7%
1 170
11.4%
4 160
10.7%
2 157
10.5%
8 132
8.8%
7 116
7.8%
6 112
7.5%
5 110
7.4%
0 85
5.7%

belvnum
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1586 
신도수
372 
37000
 
2

Length

Max length5
Median length4
Mean length3.8112245
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1586
80.9%
신도수 372
 
19.0%
37000 2
 
0.1%

Length

2024-04-18T03:49:34.921996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:35.007554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1586
80.9%
신도수 372
 
19.0%
37000 2
 
0.1%

infoben
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1438 
357 
Y
165 

Length

Max length4
Median length4
Mean length3.2010204
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1438
73.4%
357
 
18.2%
Y 165
 
8.4%

Length

2024-04-18T03:49:35.094169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:35.179303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1438
73.4%
357
 
18.2%
y 165
 
8.4%

engstntrnmnm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
영문상호명
372 

Length

Max length5
Median length4
Mean length4.1897959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
영문상호명 372
 
19.0%

Length

2024-04-18T03:49:35.270602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:35.353187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
영문상호명 372
 
19.0%

engstntrnmaddr
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
영문상호주소
372 

Length

Max length6
Median length4
Mean length4.3795918
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
영문상호주소 372
 
19.0%

Length

2024-04-18T03:49:35.443190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:35.525191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
영문상호주소 372
 
19.0%

originhist
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1586 
유래연혁
372 
ㅇ 서기 646년(신라 선덕여왕 15년) 자장율사가 양산 통도사를 창건할 시기 함께 창건하였다고 전해지며, 한때 건물이 200칸을 넘었으며 오백나한을 모신 사찰로 유명했고,
 
1
ㅇ조선 시대 승려 탄명(坦明)이 수행하였다고 전해지는 사찰로, 도덕암(道德庵) 혹은 백운암(白雲庵)이라고도 불렸다. 사찰에 전해지는 기록에 의하면,
 
1

Length

Max length96
Median length4
Mean length4.0872449
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1586
80.9%
유래연혁 372
 
19.0%
ㅇ 서기 646년(신라 선덕여왕 15년) 자장율사가 양산 통도사를 창건할 시기 함께 창건하였다고 전해지며, 한때 건물이 200칸을 넘었으며 오백나한을 모신 사찰로 유명했고, 1
 
0.1%
ㅇ조선 시대 승려 탄명(坦明)이 수행하였다고 전해지는 사찰로, 도덕암(道德庵) 혹은 백운암(白雲庵)이라고도 불렸다. 사찰에 전해지는 기록에 의하면, 1
 
0.1%

Length

2024-04-18T03:49:35.628765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:35.730308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1586
79.5%
유래연혁 372
 
18.7%
사찰로 2
 
0.1%
전해지는 2
 
0.1%
탄명(坦明)이 1
 
0.1%
모신 1
 
0.1%
유명했고 1
 
0.1%
ㅇ조선 1
 
0.1%
시대 1
 
0.1%
승려 1
 
0.1%
Other values (26) 26
 
1.3%

dispenen
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1486 
363 
Y
 
111

Length

Max length4
Median length4
Mean length3.2744898
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1486
75.8%
363
 
18.5%
Y 111
 
5.7%

Length

2024-04-18T03:49:35.848310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:35.930995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1486
75.8%
363
 
18.5%
y 111
 
5.7%

capt
Categorical

IMBALANCE 

Distinct35
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1537 
자본금
346 
0
 
10
50000000
 
9
30000000
 
7
Other values (30)
 
51

Length

Max length10
Median length4
Mean length3.9709184
Min length1

Unique

Unique21 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1537
78.4%
자본금 346
 
17.7%
0 10
 
0.5%
50000000 9
 
0.5%
30000000 7
 
0.4%
200000000 4
 
0.2%
100000000 4
 
0.2%
300000000 4
 
0.2%
7000000000 4
 
0.2%
15000000 3
 
0.2%
Other values (25) 32
 
1.6%

Length

2024-04-18T03:49:36.014462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1537
78.4%
자본금 346
 
17.7%
0 10
 
0.5%
50000000 9
 
0.5%
30000000 7
 
0.4%
200000000 4
 
0.2%
100000000 4
 
0.2%
300000000 4
 
0.2%
7000000000 4
 
0.2%
46000000 3
 
0.2%
Other values (25) 32
 
1.6%

tdtpnm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1582 
전통사찰명
371 
창룡사
 
3
흥륜사
 
2
용화사
 
1

Length

Max length5
Median length4
Mean length4.1857143
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1582
80.7%
전통사찰명 371
 
18.9%
창룡사 3
 
0.2%
흥륜사 2
 
0.1%
용화사 1
 
0.1%
정수암 1
 
0.1%

Length

2024-04-18T03:49:36.116606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:36.209246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1582
80.7%
전통사찰명 371
 
18.9%
창룡사 3
 
0.2%
흥륜사 2
 
0.1%
용화사 1
 
0.1%
정수암 1
 
0.1%

mnfactreartclcn
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
제작취급품목내용
372 

Length

Max length8
Median length4
Mean length4.7591837
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
제작취급품목내용 372
 
19.0%

Length

2024-04-18T03:49:36.305896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:36.399380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
제작취급품목내용 372
 
19.0%

chaircnt
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
좌석수
372 

Length

Max length4
Median length4
Mean length3.8102041
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
좌석수 372
 
19.0%

Length

2024-04-18T03:49:36.488432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:36.564873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
좌석수 372
 
19.0%

nearenvnm
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1475 
주변환경명
351 
기타
 
91
학교정화(상대)
 
17
아파트지역
 
16
Other values (2)
 
10

Length

Max length8
Median length4
Mean length4.1352041
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1475
75.3%
주변환경명 351
 
17.9%
기타 91
 
4.6%
학교정화(상대) 17
 
0.9%
아파트지역 16
 
0.8%
주택가주변 9
 
0.5%
결혼예식장주변 1
 
0.1%

Length

2024-04-18T03:49:36.663223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:36.754366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1475
75.3%
주변환경명 351
 
17.9%
기타 91
 
4.6%
학교정화(상대 17
 
0.9%
아파트지역 16
 
0.8%
주택가주변 9
 
0.5%
결혼예식장주변 1
 
0.1%

jgongymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
준공일자
372 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
준공일자 372
 
19.0%

Length

2024-04-18T03:49:36.844007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:36.915776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
준공일자 372
 
19.0%

jisgnumlay
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1500 
지상층수
353 
2
 
26
1
 
25
5
 
17
Other values (7)
 
39

Length

Max length4
Median length4
Mean length3.8367347
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1500
76.5%
지상층수 353
 
18.0%
2 26
 
1.3%
1 25
 
1.3%
5 17
 
0.9%
3 13
 
0.7%
4 12
 
0.6%
6 6
 
0.3%
7 3
 
0.2%
8 2
 
0.1%
Other values (2) 3
 
0.2%

Length

2024-04-18T03:49:37.001326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1500
76.5%
지상층수 353
 
18.0%
2 26
 
1.3%
1 25
 
1.3%
5 17
 
0.9%
3 13
 
0.7%
4 12
 
0.6%
6 6
 
0.3%
7 3
 
0.2%
8 2
 
0.1%
Other values (2) 3
 
0.2%

regnsenm
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1434 
지역구분명
343 
관리지역
 
47
자연녹지지역
 
40
일반주거지역
 
28
Other values (10)
 
68

Length

Max length6
Median length4
Mean length4.2897959
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1434
73.2%
지역구분명 343
 
17.5%
관리지역 47
 
2.4%
자연녹지지역 40
 
2.0%
일반주거지역 28
 
1.4%
일반상업지역 22
 
1.1%
근린상업지역 11
 
0.6%
주거지역 10
 
0.5%
준주거지역 8
 
0.4%
상업지역 5
 
0.3%
Other values (5) 12
 
0.6%

Length

2024-04-18T03:49:37.104081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1434
73.2%
지역구분명 343
 
17.5%
관리지역 47
 
2.4%
자연녹지지역 40
 
2.0%
일반주거지역 28
 
1.4%
일반상업지역 22
 
1.1%
근린상업지역 11
 
0.6%
주거지역 10
 
0.5%
준주거지역 8
 
0.4%
상업지역 5
 
0.3%
Other values (5) 12
 
0.6%

asgncancel
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1584 
지정취소
372 
A
 
4

Length

Max length4
Median length4
Mean length3.9938776
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1584
80.8%
지정취소 372
 
19.0%
A 4
 
0.2%

Length

2024-04-18T03:49:37.205334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:37.283839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1584
80.8%
지정취소 372
 
19.0%
a 4
 
0.2%

asgncancelwhy
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
지정취소사유
372 

Length

Max length6
Median length4
Mean length4.3795918
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
지정취소사유 372
 
19.0%

Length

2024-04-18T03:49:37.374569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:37.461174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
지정취소사유 372
 
19.0%

asgncancelymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
지정취소일자
372 

Length

Max length6
Median length4
Mean length4.3795918
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
지정취소일자 372
 
19.0%

Length

2024-04-18T03:49:37.548460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:37.632457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
지정취소일자 372
 
19.0%

undernumlay
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1527 
지하층수
363 
1
 
50
2
 
9
4
 
4
Other values (3)
 
7

Length

Max length4
Median length4
Mean length3.8928571
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1527
77.9%
지하층수 363
 
18.5%
1 50
 
2.6%
2 9
 
0.5%
4 4
 
0.2%
0 3
 
0.2%
3 3
 
0.2%
5 1
 
0.1%

Length

2024-04-18T03:49:37.715485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:37.817431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1527
77.9%
지하층수 363
 
18.5%
1 50
 
2.6%
2 9
 
0.5%
4 4
 
0.2%
0 3
 
0.2%
3 3
 
0.2%
5 1
 
0.1%

estbhdate
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1582 
창립연대
372 
680
 
3
1376
 
2
720
 
1

Length

Max length4
Median length4
Mean length3.9979592
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1582
80.7%
창립연대 372
 
19.0%
680 3
 
0.2%
1376 2
 
0.1%
720 1
 
0.1%

Length

2024-04-18T03:49:37.940615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:38.028895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1582
80.7%
창립연대 372
 
19.0%
680 3
 
0.2%
1376 2
 
0.1%
720 1
 
0.1%

totnumlay
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1521 
총층수
353 
1
 
16
6
 
16
3
 
13
Other values (7)
 
41

Length

Max length4
Median length4
Mean length3.6887755
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1521
77.6%
총층수 353
 
18.0%
1 16
 
0.8%
6 16
 
0.8%
3 13
 
0.7%
2 12
 
0.6%
4 10
 
0.5%
5 7
 
0.4%
9 6
 
0.3%
8 3
 
0.2%
Other values (2) 3
 
0.2%

Length

2024-04-18T03:49:38.119823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1521
77.6%
총층수 353
 
18.0%
1 16
 
0.8%
6 16
 
0.8%
3 13
 
0.7%
2 12
 
0.6%
4 10
 
0.5%
5 7
 
0.4%
9 6
 
0.3%
8 3
 
0.2%
Other values (2) 3
 
0.2%

closewhy
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
폐관사유
372 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
폐관사유 372
 
19.0%

Length

2024-04-18T03:49:38.207660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:38.283719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
폐관사유 372
 
19.0%

closeymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
폐관일자
372 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
폐관일자 372
 
19.0%

Length

2024-04-18T03:49:38.368838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:38.476482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
폐관일자 372
 
19.0%

permcn
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
허가조건
372 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
허가조건 372
 
19.0%

Length

2024-04-18T03:49:38.812895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:38.901808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
허가조건 372
 
19.0%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.4 KiB
<NA>
1588 
회의실별동시수용인원
372 

Length

Max length10
Median length4
Mean length5.1387755
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1588
81.0%
회의실별동시수용인원 372
 
19.0%

Length

2024-04-18T03:49:38.993246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:49:39.071692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1588
81.0%
회의실별동시수용인원 372
 
19.0%

last_load_dttm
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing6
Missing (%)0.3%
Memory size15.4 KiB
Minimum2021-02-01 05:27:03
Maximum2021-02-01 05:27:03
2024-04-18T03:49:39.136477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:49:39.201547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelopenymdstroomcntbdngsrvnmcnstyareasvnsrplninsurstdtplninsurenddtplayutscntdtlplayfacilcntstagearculwrkrsenmculphyedcobnmmuseumkindnmmuseumsortnmgeicpfacilenbcfacilenbupnmbupesbmntobjbupdisorgymdinsurorgnminsurstdtinsurenddtafcshpinfoshpcntshptottonsmngmbdnmndloanmonknumfacilscpfacilarbelvnuminfobenengstntrnmnmengstntrnmaddroriginhistdispenencapttdtpnmmnfactreartclcnchaircntnearenvnmjgongymdjisgnumlayregnsenmasgncancelasgncancelwhyasgncancelymdundernumlayestbhdatetotnumlayclosewhycloseymdpermcnmeetsamtimesygstflast_load_dttm
016260000B0401199200000103_07_05_PI2018-08-31 23:59:59.0<NA>부산광역시립박물관<NA>부산광역시 남구 대연동 948번지 1호48947부산광역시 남구 유엔평화로 63 (대연동)19921221<NA><NA><NA><NA>1영업391008.90715500000183520.0033520000020111031090155<NA>051-123-123419780711<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관종합박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>국립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
126260000B0402201500000103_07_05_PU2019-04-18 02:40:00.0박물관, 미술관석당미술관<NA>부산광역시 서구 부민동2가 1번지48947부산광역시 서구 구덕로 225 (부민동2가)20150325<NA><NA><NA><NA>영업/정상영업384047.41688983180228.45254961520190416132936<NA>051-123-123420150325<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>미술관미술관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대학<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
236260000B0401200700000103_07_05_PI2018-08-31 23:59:59.0<NA>부산포민속박물관<NA>부산광역시 부산진구 부전동 168번지 176호48947부산광역시 부산진구 중앙대로702번길 21 (부전동)20070321<NA><NA><NA><NA>1영업387744.56187800000186296.0903030000020180806202012<NA>051-123-123420060525<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관종합박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>사립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
346260000B0401200800000103_07_05_PI2018-08-31 23:59:59.0<NA>범어사 성보박물관<NA>부산광역시 금정구 청룡동 546번지48947부산광역시 금정구 범어사로 250 (청룡동)20080625<NA><NA><NA><NA>1영업388303.80706500000200687.2186390000020180806202412<NA>051-123-123420030323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관전문박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>사립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
456260000B0401200900000103_07_05_PI2018-08-31 23:59:59.0<NA>킴스아트필드미술관<NA>부산광역시 금정구 금성동 285번지48947부산광역시 금정구 죽전1길 29 (금성동)20090123<NA><NA><NA><NA>1영업386960.13317900000197033.3623880000020180703175718<NA>051-123-123420090123<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>미술관미술관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>사립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
566260000B0401201200000103_07_05_PI2018-08-31 23:59:59.0<NA>록봉민속교육박물관<NA>부산광역시 강서구 천성동 813번지48947부산광역시 강서구 가덕해안로 741 (천성동)20120605<NA><NA><NA><NA>1영업365504.70347700000172143.4007150000020180806202904<NA>051-123-123420120608<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관전문박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>사립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
676260000B0401200900000203_07_05_PI2018-08-31 23:59:59.0<NA>오륜대 한국순교자기념관<NA>부산광역시 금정구 부곡동 1번지 4호48947부산광역시 금정구 오륜대로 106-1 (부곡동)20090227<NA><NA><NA><NA>1영업391319.31655200000196504.2071650000020180806202628<NA>051-123-123419820925<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관전문박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>사립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
786260000B0401200900000303_07_05_PI2018-08-31 23:59:59.0<NA>동아대학교박물관<NA>부산광역시 서구 부민동2가 1번지48947부산광역시 서구 구덕로 225 (부민동2가)20011128<NA><NA><NA><NA>1영업384128.73118000000180592.0432970000020111031090544<NA>051-123-123419591101<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관종합박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대학0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
896260000B0401201200000203_07_05_PI2018-08-31 23:59:59.0<NA>임시수도기념관<NA>부산광역시 서구 부민동3가 22번지48947부산광역시 서구 임시수도기념로 45 (부민동3가)20121017<NA><NA><NA><NA>1영업383965.79698500000180468.1375150000020121017132939<NA>051-123-123419840625<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관전문박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
9106260000B0401201200000303_07_05_PI2018-08-31 23:59:59.0<NA>부산해양자연사박물관<NA>부산광역시 동래구 온천동 산 13번지 1호48947부산광역시 동래구 우장춘로 175 (온천동)20121126<NA><NA><NA><NA>1영업388982.92937200000193694.4969300000020180417125713<NA>051-123-123419971202<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관전문박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공립0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
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195019614810000CDFI226216202100000103_07_03_PI2021-01-20 00:23:04.0관광유람선업남해안크루즈관광주식회사지번우편번호전라남도 여수시 돌산읍 우두리 813-1059768전라남도 여수시 돌산읍 돌산로 3617-2220210118폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중267496.945353137003.41911620210118145118업태구분명061-644-6256개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명일반관광유람선업박물관미술관유형명박물관미술관종류명법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁400000000전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-02-01 05:27:03
195119635080000CDFI527200202100000103_07_08_PI2021-01-22 00:23:04.0유원시설업(기타)킹콩점프 옥계점지번우편번호경상북도 구미시 옥계동 834-239185경상북도 구미시 옥계북로 40, 801호 (옥계동)20210120폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중327905.247056587293989.59596221120210120204730업태구분명전화번호개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-02-01 05:27:03
195219643420000CDFI527200202100000103_07_08_PI2021-01-24 00:23:04.0유원시설업(기타)대구지방기상청(국립대구기상과학관)지번우편번호대구광역시 동구 효목동 1264-4 대구지방기상청41179대구광역시 동구 효동로2길 10, 대구지방기상청 (효목동)20210122폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중349172.945261265495.64817220210122131412업태구분명053-282-0167개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-02-01 05:27:03
1953196562800006280000-00103_07_11_PI2021-01-24 00:23:04.0전통사찰흥륜사<NA>인천광역시 연수구 동춘동 806 - 12<NA><NA>20210122<NA><NA><NA><NA>영업/정상<NA><NA><NA>20210122000000<NA>0328321133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA><NA>37000<NA><NA><NA><NA><NA><NA>흥륜사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1376<NA><NA><NA><NA><NA>2021-02-01 05:27:03
195419663420000CDFI527100202100000103_07_09_PI2021-01-24 00:23:04.0일반유원시설업대구지방기상청(국립대구기상과학관)<NA>대구광역시 동구 효목동 1264-4 대구지방기상청41179대구광역시 동구 효동로2길 10, 대구지방기상청 (효목동)20210122<NA><NA><NA><NA>영업/정상영업중349172.945261265495.64817220210122131906<NA>053-282-0167<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
195519673420000CDFI527200202100000103_07_08_PI2021-01-24 00:23:04.0유원시설업(기타)대구지방기상청(국립대구기상과학관)지번우편번호대구광역시 동구 효목동 1264-4 대구지방기상청41179대구광역시 동구 효동로2길 10, 대구지방기상청 (효목동)20210122폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중349172.945261265495.64817220210122131412업태구분명053-282-0167개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-02-01 05:27:03
1956196862800006280000-00103_07_11_PI2021-01-24 00:23:04.0전통사찰흥륜사<NA>인천광역시 연수구 동춘동 806 - 12<NA><NA>20210122<NA><NA><NA><NA>영업/정상<NA><NA><NA>20210122000000<NA>0328321133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA><NA>37000<NA><NA><NA><NA><NA><NA>흥륜사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1376<NA><NA><NA><NA><NA>2021-02-01 05:27:03
195719693420000CDFI527100202100000103_07_09_PI2021-01-24 00:23:04.0일반유원시설업대구지방기상청(국립대구기상과학관)<NA>대구광역시 동구 효목동 1264-4 대구지방기상청41179대구광역시 동구 효동로2길 10, 대구지방기상청 (효목동)20210122<NA><NA><NA><NA>영업/정상영업중349172.945261265495.64817220210122131906<NA>053-282-0167<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:27:03
195819703260000CDFI326110202100000103_07_01_PI2021-01-27 00:23:03.0관광궤도업(주)송도해상케이블카지번우편번호부산광역시 서구 암남동 765 송도케이블카 하부정류장49269부산광역시 서구 송도해변로 171, 송도케이블카 하부정류장 (암남동)20210125폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중384476.239479026177168.18821614320210125135339업태구분명051-247-9900개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명관광궤도업박물관미술관유형명박물관미술관종류명법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수주거지역지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-02-01 05:27:03
195919716260000B0402202100000103_07_05_PI2021-01-29 00:23:13.0박물관, 미술관KT&G 상상마당 부산미술관지번우편번호부산광역시 부산진구 부전동 521번지 1호 KT&G상상마당부산도로명우편번호부산광역시 부산진구 서면로 39-0 (부전동,KT&G상상마당부산)20210127폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업387394.967970419185837.31656840820210127175813업태구분명전화번호20200904객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명미술관미술관1종법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수사립소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-02-01 05:27:03