Overview

Dataset statistics

Number of variables80
Number of observations1918
Missing cells7035
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
Categorical62
DateTime1

Alerts

opnsvcid is highly imbalanced (65.8%)Imbalance
opnsvcnm is highly imbalanced (62.9%)Imbalance
sitepostno is highly imbalanced (55.9%)Imbalance
clgstdt is highly imbalanced (81.2%)Imbalance
clgenddt is highly imbalanced (80.3%)Imbalance
trdstatenm is highly imbalanced (67.5%)Imbalance
dtlstatenm is highly imbalanced (59.7%)Imbalance
bdngsrvnm is highly imbalanced (62.9%)Imbalance
cnstyarea is highly imbalanced (55.9%)Imbalance
plninsurstdt is highly imbalanced (55.9%)Imbalance
plninsurenddt is highly imbalanced (55.9%)Imbalance
playfacilcnt is highly imbalanced (53.0%)Imbalance
culphyedcobnm is highly imbalanced (63.2%)Imbalance
museumkindnm is highly imbalanced (69.2%)Imbalance
museumsortnm is highly imbalanced (52.3%)Imbalance
insurorgnm is highly imbalanced (67.8%)Imbalance
insurstdt is highly imbalanced (70.8%)Imbalance
insurenddt is highly imbalanced (70.8%)Imbalance
afc is highly imbalanced (73.3%)Imbalance
mngmbdnm is highly imbalanced (61.2%)Imbalance
ndloan is highly imbalanced (55.2%)Imbalance
originhist is highly imbalanced (64.7%)Imbalance
capt is highly imbalanced (79.0%)Imbalance
tdtpnm is highly imbalanced (68.9%)Imbalance
nearenvnm is highly imbalanced (60.4%)Imbalance
jisgnumlay is highly imbalanced (68.7%)Imbalance
regnsenm is highly imbalanced (65.0%)Imbalance
asgncancel is highly imbalanced (54.9%)Imbalance
undernumlay is highly imbalanced (68.4%)Imbalance
estbhdate is highly imbalanced (64.2%)Imbalance
totnumlay is highly imbalanced (70.5%)Imbalance
last_load_dttm is highly imbalanced (96.9%)Imbalance
rdnpostno has 20 (1.0%) missing valuesMissing
rdnwhladdr has 56 (2.9%) missing valuesMissing
dcbymd has 1289 (67.2%) missing valuesMissing
x has 91 (4.7%) missing valuesMissing
y has 89 (4.6%) missing valuesMissing
sitetel has 143 (7.5%) missing valuesMissing
openymd has 1501 (78.3%) missing valuesMissing
playutscntdtl has 1238 (64.5%) missing valuesMissing
facilscp has 1290 (67.3%) missing valuesMissing
facilar has 1290 (67.3%) missing valuesMissing
skey has unique valuesUnique

Reproduction

Analysis started2024-04-17 18:44:44.000165
Analysis finished2024-04-17 18:44:45.866467
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Text

UNIQUE 

Distinct1918
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2024-04-18T03:44:46.132361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length73
Mean length3.5427529
Min length1

Characters and Unicode

Total characters6795
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

Unique1918 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
화재로 2
 
0.1%
한다 2
 
0.1%
1 1
 
0.1%
1940년 1
 
0.1%
바꾸었다고 1
 
0.1%
경은사로 1
 
0.1%
명칭을 1
 
0.1%
사찰 1
 
0.1%
재건하면서 1
 
0.1%
법당을 1
 
0.1%
Other values (1952) 1952
99.4%
2024-04-18T03:44:46.548371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1516
22.3%
2 588
 
8.7%
5 582
 
8.6%
7 582
 
8.6%
8 582
 
8.6%
4 579
 
8.5%
3 577
 
8.5%
6 574
 
8.4%
9 513
 
7.5%
0 480
 
7.1%
Other values (90) 222
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6573
96.7%
Other Letter 152
 
2.2%
Space Separator 59
 
0.9%
Other Punctuation 5
 
0.1%
Close Punctuation 3
 
< 0.1%
Open 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 1516
23.1%
2 588
 
8.9%
5 582
 
8.9%
7 582
 
8.9%
8 582
 
8.9%
4 579
 
8.8%
3 577
 
8.8%
6 574
 
8.7%
9 513
 
7.8%
0 480
 
7.3%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 2
40.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6643
97.8%
Hangul 148
 
2.2%
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 1516
22.8%
2 588
 
8.9%
5 582
 
8.8%
7 582
 
8.8%
8 582
 
8.8%
4 579
 
8.7%
3 577
 
8.7%
6 574
 
8.6%
9 513
 
7.7%
0 480
 
7.2%
Other values (5) 70
 
1.1%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6643
97.8%
Hangul 147
 
2.2%
CJK 4
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1516
22.8%
2 588
 
8.9%
5 582
 
8.8%
7 582
 
8.8%
8 582
 
8.8%
4 579
 
8.7%
3 577
 
8.7%
6 574
 
8.6%
9 513
 
7.7%
0 480
 
7.2%
Other values (5) 70
 
1.1%
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 (%)11.0%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean4471290
Minimum3000000
Maximum6520000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T03:44:46.666317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3160000
Q13632500
median4210000
Q35230000
95-th percentile6430000
Maximum6520000
Range3520000
Interquartile range (IQR)1597500

Descriptive statistics

Standard deviation1000268.3
Coefficient of variation (CV)0.22370912
Kurtosis-0.79759472
Mean4471290
Median Absolute Deviation (MAD)740000
Skewness0.52713827
Sum8.558049 × 109
Variance1.0005367 × 1012
MonotonicityNot monotonic
2024-04-18T03:44:46.783334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6280000 63
 
3.3%
3740000 48
 
2.5%
5530000 43
 
2.2%
4050000 37
 
1.9%
5350000 32
 
1.7%
3940000 29
 
1.5%
6260000 28
 
1.5%
4670000 28
 
1.5%
3330000 26
 
1.4%
5670000 25
 
1.3%
Other values (200) 1555
81.1%
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 13
0.7%
6470000 10
0.5%
6460000 11
0.6%
6450000 5
 
0.3%
6440000 6
 
0.3%
6430000 9
 
0.5%
6420000 2
 
0.1%

mgtno
Text

Distinct198
Distinct (%)10.3%
Missing4
Missing (%)0.2%
Memory size15.1 KiB
2024-04-18T03:44:46.973825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length19.581505
Min length15

Characters and Unicode

Total characters37479
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

Unique101 ?
Unique (%)5.3%

Sample

1st rowB04011992000001
2nd rowB04022015000001
3rd rowB04012007000001
4th rowB04012008000001
5th rowB04012009000001
ValueCountFrequency (%)
cdfi5272002019000001 223
 
11.7%
cdfi5272002019000002 170
 
8.9%
cdfi5272002020000001 159
 
8.3%
cdfi5272002019000003 122
 
6.4%
cdfi5271002019000001 106
 
5.5%
cdfi5272002019000004 93
 
4.9%
cdfi5272002020000002 86
 
4.5%
cdfi5272002019000005 76
 
4.0%
cdfi5272002019000006 45
 
2.4%
cdfi5272002020000003 43
 
2.2%
Other values (188) 791
41.3%
2024-04-18T03:44:47.274217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15719
41.9%
2 6142
 
16.4%
1 2557
 
6.8%
5 1866
 
5.0%
7 1836
 
4.9%
C 1808
 
4.8%
D 1744
 
4.7%
F 1744
 
4.7%
I 1744
 
4.7%
9 1191
 
3.2%
Other values (6) 1128
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30319
80.9%
Uppercase Letter 7139
 
19.0%
Dash Punctuation 21
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15719
51.8%
2 6142
 
20.3%
1 2557
 
8.4%
5 1866
 
6.2%
7 1836
 
6.1%
9 1191
 
3.9%
8 309
 
1.0%
4 278
 
0.9%
3 268
 
0.9%
6 153
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 1808
25.3%
D 1744
24.4%
F 1744
24.4%
I 1744
24.4%
B 99
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30340
81.0%
Latin 7139
 
19.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15719
51.8%
2 6142
 
20.2%
1 2557
 
8.4%
5 1866
 
6.2%
7 1836
 
6.1%
9 1191
 
3.9%
8 309
 
1.0%
4 278
 
0.9%
3 268
 
0.9%
6 153
 
0.5%
Latin
ValueCountFrequency (%)
C 1808
25.3%
D 1744
24.4%
F 1744
24.4%
I 1744
24.4%
B 99
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37479
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15719
41.9%
2 6142
 
16.4%
1 2557
 
6.8%
5 1866
 
5.0%
7 1836
 
4.9%
C 1808
 
4.8%
D 1744
 
4.7%
F 1744
 
4.7%
I 1744
 
4.7%
9 1191
 
3.2%
Other values (6) 1128
 
3.0%

opnsvcid
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
03_07_08_P
1458 
03_07_09_P
238 
03_07_05_P
 
99
03_07_02_P
 
64
03_07_10_P
 
16
Other values (9)
 
43

Length

Max length10
Median length10
Mean length9.987487
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 1458
76.0%
03_07_09_P 238
 
12.4%
03_07_05_P 99
 
5.2%
03_07_02_P 64
 
3.3%
03_07_10_P 16
 
0.8%
03_07_06_P 13
 
0.7%
03_07_11_P 7
 
0.4%
03_07_01_P 5
 
0.3%
03_07_12_P 5
 
0.3%
03_07_03_P 5
 
0.3%
Other values (4) 8
 
0.4%

Length

2024-04-18T03:44:47.390023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
03_07_08_p 1458
76.0%
03_07_09_p 238
 
12.4%
03_07_05_p 99
 
5.2%
03_07_02_p 64
 
3.3%
03_07_10_p 16
 
0.8%
03_07_06_p 13
 
0.7%
03_07_11_p 7
 
0.4%
03_07_01_p 5
 
0.3%
03_07_12_p 5
 
0.3%
03_07_03_p 5
 
0.3%
Other values (4) 8
 
0.4%

updategbn
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
U
991 
I
923 
<NA>
 
4

Length

Max length4
Median length1
Mean length1.0062565
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 991
51.7%
I 923
48.1%
<NA> 4
 
0.2%

Length

2024-04-18T03:44:47.480352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:47.560065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 991
51.7%
i 923
48.1%
na 4
 
0.2%
Distinct648
Distinct (%)33.9%
Missing4
Missing (%)0.2%
Memory size15.1 KiB
Minimum2018-08-31 23:59:59
Maximum2020-12-20 02:40:00
2024-04-18T03:44:47.643831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:44:47.748492image/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 size15.1 KiB
유원시설업(기타)
1458 
일반유원시설업
238 
박물관, 미술관
 
79
관광사업자
 
64
<NA>
 
24
Other values (7)
 
55

Length

Max length9
Median length9
Mean length8.4217935
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) 1458
76.0%
일반유원시설업 238
 
12.4%
박물관, 미술관 79
 
4.1%
관광사업자 64
 
3.3%
<NA> 24
 
1.3%
전문휴양업 16
 
0.8%
시내순환관광업 13
 
0.7%
전통사찰 7
 
0.4%
관광궤도업 5
 
0.3%
종합유원시설업 5
 
0.3%
Other values (2) 9
 
0.5%

Length

2024-04-18T03:44:47.856166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유원시설업(기타 1458
73.0%
일반유원시설업 238
 
11.9%
박물관 79
 
4.0%
미술관 79
 
4.0%
관광사업자 64
 
3.2%
na 24
 
1.2%
전문휴양업 16
 
0.8%
시내순환관광업 13
 
0.7%
전통사찰 7
 
0.4%
관광궤도업 5
 
0.3%
Other values (3) 14
 
0.7%

bplcnm
Text

Distinct1235
Distinct (%)64.5%
Missing4
Missing (%)0.2%
Memory size15.1 KiB
2024-04-18T03:44:48.086498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length8.8526646
Min length2

Characters and Unicode

Total characters16944
Distinct characters638
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

Unique905 ?
Unique (%)47.3%

Sample

1st row부산광역시립박물관
2nd row석당미술관
3rd row부산포민속박물관
4th row범어사 성보박물관
5th row킴스아트필드미술관
ValueCountFrequency (%)
키즈카페 76
 
2.5%
주식회사 71
 
2.3%
물놀이장 43
 
1.4%
키즈월드 24
 
0.8%
고구려기획 20
 
0.6%
vr 18
 
0.6%
노리파크 17
 
0.6%
점핑몬스터 17
 
0.6%
꼬마대통령 17
 
0.6%
헬로방방 17
 
0.6%
Other values (1545) 2765
89.6%
2024-04-18T03:44:48.433763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1175
 
6.9%
537
 
3.2%
388
 
2.3%
387
 
2.3%
375
 
2.2%
373
 
2.2%
371
 
2.2%
325
 
1.9%
) 324
 
1.9%
( 324
 
1.9%
Other values (628) 12365
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14251
84.1%
Space Separator 1175
 
6.9%
Uppercase Letter 472
 
2.8%
Close Punctuation 324
 
1.9%
Open Punctuation 324
 
1.9%
Decimal Number 179
 
1.1%
Lowercase Letter 158
 
0.9%
Other Punctuation 31
 
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 (%)
537
 
3.8%
388
 
2.7%
387
 
2.7%
375
 
2.6%
373
 
2.6%
371
 
2.6%
325
 
2.3%
237
 
1.7%
215
 
1.5%
196
 
1.4%
Other values (556) 10847
76.1%
Uppercase Letter
ValueCountFrequency (%)
R 58
 
12.3%
V 48
 
10.2%
A 36
 
7.6%
K 35
 
7.4%
N 32
 
6.8%
O 30
 
6.4%
G 23
 
4.9%
S 23
 
4.9%
E 23
 
4.9%
D 18
 
3.8%
Other values (16) 146
30.9%
Lowercase Letter
ValueCountFrequency (%)
n 16
 
10.1%
u 14
 
8.9%
l 13
 
8.2%
e 13
 
8.2%
o 13
 
8.2%
t 11
 
7.0%
i 9
 
5.7%
k 8
 
5.1%
a 8
 
5.1%
x 7
 
4.4%
Other values (14) 46
29.1%
Decimal Number
ValueCountFrequency (%)
2 49
27.4%
1 37
20.7%
0 24
13.4%
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 (%)
& 16
51.6%
' 7
22.6%
, 5
 
16.1%
2
 
6.5%
. 1
 
3.2%
Other Symbol
ValueCountFrequency (%)
7
87.5%
1
 
12.5%
Space Separator
ValueCountFrequency (%)
1175
100.0%
Close Punctuation
ValueCountFrequency (%)
) 324
100.0%
Open Punctuation
ValueCountFrequency (%)
( 324
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 14258
84.1%
Common 2056
 
12.1%
Latin 630
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
537
 
3.8%
388
 
2.7%
387
 
2.7%
375
 
2.6%
373
 
2.6%
371
 
2.6%
325
 
2.3%
237
 
1.7%
215
 
1.5%
196
 
1.4%
Other values (557) 10854
76.1%
Latin
ValueCountFrequency (%)
R 58
 
9.2%
V 48
 
7.6%
A 36
 
5.7%
K 35
 
5.6%
N 32
 
5.1%
O 30
 
4.8%
G 23
 
3.7%
S 23
 
3.7%
E 23
 
3.7%
D 18
 
2.9%
Other values (40) 304
48.3%
Common
ValueCountFrequency (%)
1175
57.1%
) 324
 
15.8%
( 324
 
15.8%
2 49
 
2.4%
1 37
 
1.8%
0 24
 
1.2%
3 21
 
1.0%
4 16
 
0.8%
& 16
 
0.8%
+ 13
 
0.6%
Other values (11) 57
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14245
84.1%
ASCII 2683
 
15.8%
None 9
 
0.1%
Compat Jamo 6
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1175
43.8%
) 324
 
12.1%
( 324
 
12.1%
R 58
 
2.2%
2 49
 
1.8%
V 48
 
1.8%
1 37
 
1.4%
A 36
 
1.3%
K 35
 
1.3%
N 32
 
1.2%
Other values (59) 565
21.1%
Hangul
ValueCountFrequency (%)
537
 
3.8%
388
 
2.7%
387
 
2.7%
375
 
2.6%
373
 
2.6%
371
 
2.6%
325
 
2.3%
237
 
1.7%
215
 
1.5%
196
 
1.4%
Other values (554) 10841
76.1%
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 size15.1 KiB
<NA>
1560 
지번우편번호
357 
483020
 
1

Length

Max length6
Median length4
Mean length4.3733055
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> 1560
81.3%
지번우편번호 357
 
18.6%
483020 1
 
0.1%

Length

2024-04-18T03:44:48.552644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:48.642481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1560
81.3%
지번우편번호 357
 
18.6%
483020 1
 
0.1%
Distinct1257
Distinct (%)65.7%
Missing4
Missing (%)0.2%
Memory size15.1 KiB
2024-04-18T03:44:48.880594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length26.671369
Min length15

Characters and Unicode

Total characters51049
Distinct characters513
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

Unique933 ?
Unique (%)48.7%

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 447
 
4.3%
서울특별시 166
 
1.6%
인천광역시 161
 
1.6%
경상남도 158
 
1.5%
부산광역시 149
 
1.4%
경상북도 126
 
1.2%
전라남도 112
 
1.1%
전라북도 100
 
1.0%
강원도 99
 
1.0%
충청남도 85
 
0.8%
Other values (3250) 8697
84.4%
2024-04-18T03:44:49.277673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10179
 
19.9%
1 1768
 
3.5%
1767
 
3.5%
1669
 
3.3%
1412
 
2.8%
1377
 
2.7%
1276
 
2.5%
- 1196
 
2.3%
2 1143
 
2.2%
1081
 
2.1%
Other values (503) 28181
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30869
60.5%
Space Separator 10179
 
19.9%
Decimal Number 8437
 
16.5%
Dash Punctuation 1196
 
2.3%
Uppercase Letter 210
 
0.4%
Other Punctuation 58
 
0.1%
Open Punctuation 30
 
0.1%
Close 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 (%)
1767
 
5.7%
1669
 
5.4%
1412
 
4.6%
1377
 
4.5%
1276
 
4.1%
1081
 
3.5%
824
 
2.7%
648
 
2.1%
634
 
2.1%
634
 
2.1%
Other values (451) 19547
63.3%
Uppercase Letter
ValueCountFrequency (%)
B 42
20.0%
E 28
13.3%
A 19
9.0%
C 17
 
8.1%
L 12
 
5.7%
G 12
 
5.7%
T 11
 
5.2%
S 8
 
3.8%
P 8
 
3.8%
K 8
 
3.8%
Other values (15) 45
21.4%
Decimal Number
ValueCountFrequency (%)
1 1768
21.0%
2 1143
13.5%
0 821
9.7%
4 804
9.5%
3 781
9.3%
5 715
8.5%
6 704
 
8.3%
7 593
 
7.0%
8 555
 
6.6%
9 553
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
46.2%
h 3
23.1%
w 1
 
7.7%
l 1
 
7.7%
c 1
 
7.7%
a 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 45
77.6%
. 7
 
12.1%
" 6
 
10.3%
Letter Number
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Space Separator
ValueCountFrequency (%)
10179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1196
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30867
60.5%
Common 19949
39.1%
Latin 230
 
0.5%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1767
 
5.7%
1669
 
5.4%
1412
 
4.6%
1377
 
4.5%
1276
 
4.1%
1081
 
3.5%
824
 
2.7%
648
 
2.1%
634
 
2.1%
634
 
2.1%
Other values (451) 19545
63.3%
Latin
ValueCountFrequency (%)
B 42
18.3%
E 28
12.2%
A 19
 
8.3%
C 17
 
7.4%
L 12
 
5.2%
G 12
 
5.2%
T 11
 
4.8%
S 8
 
3.5%
P 8
 
3.5%
K 8
 
3.5%
Other values (23) 65
28.3%
Common
ValueCountFrequency (%)
10179
51.0%
1 1768
 
8.9%
- 1196
 
6.0%
2 1143
 
5.7%
0 821
 
4.1%
4 804
 
4.0%
3 781
 
3.9%
5 715
 
3.6%
6 704
 
3.5%
7 593
 
3.0%
Other values (8) 1245
 
6.2%
Han
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30866
60.5%
ASCII 20172
39.5%
Number Forms 7
 
< 0.1%
CJK 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10179
50.5%
1 1768
 
8.8%
- 1196
 
5.9%
2 1143
 
5.7%
0 821
 
4.1%
4 804
 
4.0%
3 781
 
3.9%
5 715
 
3.5%
6 704
 
3.5%
7 593
 
2.9%
Other values (39) 1468
 
7.3%
Hangul
ValueCountFrequency (%)
1767
 
5.7%
1669
 
5.4%
1412
 
4.6%
1377
 
4.5%
1276
 
4.1%
1081
 
3.5%
824
 
2.7%
648
 
2.1%
634
 
2.1%
634
 
2.1%
Other values (450) 19544
63.3%
Number Forms
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
CJK
ValueCountFrequency (%)
3
100.0%
None
ValueCountFrequency (%)
1
100.0%

rdnpostno
Text

MISSING 

Distinct950
Distinct (%)50.1%
Missing20
Missing (%)1.0%
Memory size15.1 KiB
2024-04-18T03:44:49.618011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.012118
Min length1

Characters and Unicode

Total characters9513
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

Unique631 ?
Unique (%)33.2%

Sample

1st row48947
2nd row48947
3rd row48947
4th row48947
5th row48947
ValueCountFrequency (%)
48947 195
 
10.3%
48060 16
 
0.8%
도로명우편번호 15
 
0.8%
10390 14
 
0.7%
57221 12
 
0.6%
35204 10
 
0.5%
22303 9
 
0.5%
17087 8
 
0.4%
59723 8
 
0.4%
47296 8
 
0.4%
Other values (940) 1603
84.5%
2024-04-18T03:44:50.008187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1302
13.7%
1 1256
13.2%
2 1005
10.6%
5 944
9.9%
0 909
9.6%
3 869
9.1%
8 814
8.6%
7 782
8.2%
9 772
8.1%
6 753
7.9%
Other values (8) 107
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9406
98.9%
Other Letter 105
 
1.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1302
13.8%
1 1256
13.4%
2 1005
10.7%
5 944
10.0%
0 909
9.7%
3 869
9.2%
8 814
8.7%
7 782
8.3%
9 772
8.2%
6 753
8.0%
Other Letter
ValueCountFrequency (%)
15
14.3%
15
14.3%
15
14.3%
15
14.3%
15
14.3%
15
14.3%
15
14.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9406
98.9%
Hangul 105
 
1.1%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1302
13.8%
1 1256
13.4%
2 1005
10.7%
5 944
10.0%
0 909
9.7%
3 869
9.2%
8 814
8.7%
7 782
8.3%
9 772
8.2%
6 753
8.0%
Hangul
ValueCountFrequency (%)
15
14.3%
15
14.3%
15
14.3%
15
14.3%
15
14.3%
15
14.3%
15
14.3%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9408
98.9%
Hangul 105
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1302
13.8%
1 1256
13.4%
2 1005
10.7%
5 944
10.0%
0 909
9.7%
3 869
9.2%
8 814
8.7%
7 782
8.3%
9 772
8.2%
6 753
8.0%
Hangul
ValueCountFrequency (%)
15
14.3%
15
14.3%
15
14.3%
15
14.3%
15
14.3%
15
14.3%
15
14.3%

rdnwhladdr
Text

MISSING 

Distinct1247
Distinct (%)67.0%
Missing56
Missing (%)2.9%
Memory size15.1 KiB
2024-04-18T03:44:50.312344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length52
Mean length32.915145
Min length5

Characters and Unicode

Total characters61288
Distinct characters575
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

Unique943 ?
Unique (%)50.6%

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 439
 
3.5%
2층 200
 
1.6%
인천광역시 160
 
1.3%
서울특별시 160
 
1.3%
경상남도 153
 
1.2%
부산광역시 149
 
1.2%
3층 141
 
1.1%
경상북도 117
 
0.9%
4층 109
 
0.9%
전라남도 103
 
0.8%
Other values (3717) 10666
86.0%
2024-04-18T03:44:50.731739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10540
 
17.2%
1 1909
 
3.1%
1833
 
3.0%
1802
 
2.9%
, 1758
 
2.9%
1662
 
2.7%
2 1483
 
2.4%
1449
 
2.4%
( 1410
 
2.3%
) 1410
 
2.3%
Other values (565) 36032
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35942
58.6%
Space Separator 10540
 
17.2%
Decimal Number 9260
 
15.1%
Other Punctuation 1774
 
2.9%
Open Punctuation 1411
 
2.3%
Close Punctuation 1411
 
2.3%
Dash Punctuation 492
 
0.8%
Uppercase Letter 381
 
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 (%)
1833
 
5.1%
1802
 
5.0%
1662
 
4.6%
1449
 
4.0%
1091
 
3.0%
876
 
2.4%
840
 
2.3%
679
 
1.9%
643
 
1.8%
616
 
1.7%
Other values (508) 24451
68.0%
Uppercase Letter
ValueCountFrequency (%)
B 93
24.4%
E 48
12.6%
C 48
12.6%
A 41
10.8%
P 24
 
6.3%
G 18
 
4.7%
L 12
 
3.1%
T 12
 
3.1%
S 10
 
2.6%
H 10
 
2.6%
Other values (15) 65
17.1%
Decimal Number
ValueCountFrequency (%)
1 1909
20.6%
2 1483
16.0%
0 1162
12.5%
3 1041
11.2%
4 766
8.3%
5 759
 
8.2%
6 630
 
6.8%
7 573
 
6.2%
8 488
 
5.3%
9 449
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 6
42.9%
h 3
21.4%
g 1
 
7.1%
c 1
 
7.1%
a 1
 
7.1%
l 1
 
7.1%
w 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 1758
99.1%
. 8
 
0.5%
" 6
 
0.3%
& 1
 
0.1%
* 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1410
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1410
99.9%
] 1
 
0.1%
Letter Number
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Space Separator
ValueCountFrequency (%)
10540
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 492
100.0%
Math Symbol
ValueCountFrequency (%)
~ 55
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35940
58.6%
Common 24943
40.7%
Latin 402
 
0.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1833
 
5.1%
1802
 
5.0%
1662
 
4.6%
1449
 
4.0%
1091
 
3.0%
876
 
2.4%
840
 
2.3%
679
 
1.9%
643
 
1.8%
616
 
1.7%
Other values (508) 24449
68.0%
Latin
ValueCountFrequency (%)
B 93
23.1%
E 48
11.9%
C 48
11.9%
A 41
10.2%
P 24
 
6.0%
G 18
 
4.5%
L 12
 
3.0%
T 12
 
3.0%
S 10
 
2.5%
H 10
 
2.5%
Other values (24) 86
21.4%
Common
ValueCountFrequency (%)
10540
42.3%
1 1909
 
7.7%
, 1758
 
7.0%
2 1483
 
5.9%
( 1410
 
5.7%
) 1410
 
5.7%
0 1162
 
4.7%
3 1041
 
4.2%
4 766
 
3.1%
5 759
 
3.0%
Other values (12) 2705
 
10.8%
Han
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35939
58.6%
ASCII 25338
41.3%
Number Forms 7
 
< 0.1%
CJK 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10540
41.6%
1 1909
 
7.5%
, 1758
 
6.9%
2 1483
 
5.9%
( 1410
 
5.6%
) 1410
 
5.6%
0 1162
 
4.6%
3 1041
 
4.1%
4 766
 
3.0%
5 759
 
3.0%
Other values (44) 3100
 
12.2%
Hangul
ValueCountFrequency (%)
1833
 
5.1%
1802
 
5.0%
1662
 
4.6%
1449
 
4.0%
1091
 
3.0%
876
 
2.4%
840
 
2.3%
679
 
1.9%
643
 
1.8%
616
 
1.7%
Other values (507) 24448
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)

Distinct457
Distinct (%)23.9%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean20189947
Minimum19880528
Maximum20201218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T03:44:50.844105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19880528
5-th percentile20181031
Q120190311
median20190722
Q320200121
95-th percentile20201006
Maximum20201218
Range320690
Interquartile range (IQR)9810

Descriptive statistics

Standard deviation21843.872
Coefficient of variation (CV)0.0010819182
Kurtosis124.92194
Mean20189947
Median Absolute Deviation (MAD)507
Skewness-10.33823
Sum3.8643559 × 1010
Variance4.7715473 × 108
MonotonicityNot monotonic
2024-04-18T03:44:50.949120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191220 31
 
1.6%
20190726 31
 
1.6%
20190719 30
 
1.6%
20190111 27
 
1.4%
20190503 27
 
1.4%
20190118 24
 
1.3%
20190705 24
 
1.3%
20190426 21
 
1.1%
20190517 19
 
1.0%
20191227 18
 
0.9%
Other values (447) 1662
86.7%
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 (%)
20201218 2
 
0.1%
20201210 1
 
0.1%
20201208 2
 
0.1%
20201207 1
 
0.1%
20201204 6
0.3%
20201203 2
 
0.1%
20201202 2
 
0.1%
20201201 2
 
0.1%
20201130 2
 
0.1%
20201127 2
 
0.1%

dcbymd
Text

MISSING 

Distinct123
Distinct (%)19.6%
Missing1289
Missing (%)67.2%
Memory size15.1 KiB
2024-04-18T03:44:51.157979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length5.7869634
Min length4

Characters and Unicode

Total characters3640
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

Unique57 ?
Unique (%)9.1%

Sample

1st row20190531
2nd row20190531
3rd row20190531
4th row20201111
5th row20181029
ValueCountFrequency (%)
폐업일자 348
55.3%
20190825 10
 
1.6%
20200301 10
 
1.6%
20190527 7
 
1.1%
20181029 6
 
1.0%
20190818 6
 
1.0%
20190805 6
 
1.0%
20190826 6
 
1.0%
20201130 5
 
0.8%
20190819 5
 
0.8%
Other values (113) 220
35.0%
2024-04-18T03:44:51.475849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 775
21.3%
2 574
15.8%
1 367
10.1%
348
9.6%
348
9.6%
348
9.6%
348
9.6%
9 198
 
5.4%
8 100
 
2.7%
5 72
 
2.0%
Other values (4) 162
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2248
61.8%
Other Letter 1392
38.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 775
34.5%
2 574
25.5%
1 367
16.3%
9 198
 
8.8%
8 100
 
4.4%
5 72
 
3.2%
3 71
 
3.2%
7 31
 
1.4%
6 30
 
1.3%
4 30
 
1.3%
Other Letter
ValueCountFrequency (%)
348
25.0%
348
25.0%
348
25.0%
348
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2248
61.8%
Hangul 1392
38.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 775
34.5%
2 574
25.5%
1 367
16.3%
9 198
 
8.8%
8 100
 
4.4%
5 72
 
3.2%
3 71
 
3.2%
7 31
 
1.4%
6 30
 
1.3%
4 30
 
1.3%
Hangul
ValueCountFrequency (%)
348
25.0%
348
25.0%
348
25.0%
348
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2248
61.8%
Hangul 1392
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 775
34.5%
2 574
25.5%
1 367
16.3%
9 198
 
8.8%
8 100
 
4.4%
5 72
 
3.2%
3 71
 
3.2%
7 31
 
1.4%
6 30
 
1.3%
4 30
 
1.3%
Hangul
ValueCountFrequency (%)
348
25.0%
348
25.0%
348
25.0%
348
25.0%

clgstdt
Categorical

IMBALANCE 

Distinct33
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1520 
휴업시작일자
354 
20200901
 
4
20201207
 
3
20200824
 
3
Other values (28)
 
34

Length

Max length8
Median length4
Mean length4.4572471
Min length3

Unique

Unique24 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1520
79.2%
휴업시작일자 354
 
18.5%
20200901 4
 
0.2%
20201207 3
 
0.2%
20200824 3
 
0.2%
20201026 3
 
0.2%
20201126 3
 
0.2%
20201127 2
 
0.1%
20201012 2
 
0.1%
20190621 1
 
0.1%
Other values (23) 23
 
1.2%

Length

2024-04-18T03:44:51.590871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1520
79.2%
휴업시작일자 354
 
18.5%
20200901 4
 
0.2%
20201207 3
 
0.2%
20200824 3
 
0.2%
20201026 3
 
0.2%
20201126 3
 
0.2%
20201127 2
 
0.1%
20201012 2
 
0.1%
20201102 1
 
0.1%
Other values (23) 23
 
1.2%

clgenddt
Categorical

IMBALANCE 

Distinct25
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1525 
휴업종료일자
354 
20201231
 
5
20201218
 
4
20210420
 
4
Other values (20)
 
26

Length

Max length8
Median length4
Mean length4.4504692
Min length4

Unique

Unique16 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1525
79.5%
휴업종료일자 354
 
18.5%
20201231 5
 
0.3%
20201218 4
 
0.2%
20210420 4
 
0.2%
20210430 3
 
0.2%
20210720 3
 
0.2%
20210531 2
 
0.1%
20201217 2
 
0.1%
20200421 1
 
0.1%
Other values (15) 15
 
0.8%

Length

2024-04-18T03:44:51.687030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1525
79.5%
휴업종료일자 354
 
18.5%
20201231 5
 
0.3%
20201218 4
 
0.2%
20210420 4
 
0.2%
20210430 3
 
0.2%
20210720 3
 
0.2%
20210531 2
 
0.1%
20201217 2
 
0.1%
20200620 1
 
0.1%
Other values (15) 15
 
0.8%

ropnymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
재개업일자
357 

Length

Max length5
Median length4
Mean length4.1861314
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> 1561
81.4%
재개업일자 357
 
18.6%

Length

2024-04-18T03:44:51.784049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:51.858938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
재개업일자 357
 
18.6%

trdstatenm
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
영업/정상
1514 
폐업
302 
휴업
 
45
1
 
20
<NA>
 
18
Other values (4)
 
19

Length

Max length14
Median length5
Mean length4.4296142
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1514
78.9%
폐업 302
 
15.7%
휴업 45
 
2.3%
1 20
 
1.0%
<NA> 18
 
0.9%
제외/삭제/전출 10
 
0.5%
영업상태 3
 
0.2%
취소/말소/만료/정지/중지 3
 
0.2%
기타 3
 
0.2%

Length

2024-04-18T03:44:51.940678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:52.047419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1514
78.9%
폐업 302
 
15.7%
휴업 45
 
2.3%
1 20
 
1.0%
na 18
 
0.9%
제외/삭제/전출 10
 
0.5%
영업상태 3
 
0.2%
취소/말소/만료/정지/중지 3
 
0.2%
기타 3
 
0.2%

dtlstatenm
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
영업중
1397 
폐업
302 
영업
147 
휴업
 
45
전출
 
10
Other values (4)
 
17

Length

Max length7
Median length3
Mean length2.7507821
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1397
72.8%
폐업 302
 
15.7%
영업 147
 
7.7%
휴업 45
 
2.3%
전출 10
 
0.5%
<NA> 10
 
0.5%
직권말소 3
 
0.2%
조건이행완료 3
 
0.2%
상세영업상태명 1
 
0.1%

Length

2024-04-18T03:44:52.147496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:52.469495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1397
72.8%
폐업 302
 
15.7%
영업 147
 
7.7%
휴업 45
 
2.3%
전출 10
 
0.5%
na 10
 
0.5%
직권말소 3
 
0.2%
조건이행완료 3
 
0.2%
상세영업상태명 1
 
0.1%

x
Text

MISSING 

Distinct1120
Distinct (%)61.3%
Missing91
Missing (%)4.7%
Memory size15.1 KiB
2024-04-18T03:44:52.663751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.786535
Min length7

Characters and Unicode

Total characters36150
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

Unique807 ?
Unique (%)44.2%

Sample

1st row391008.90715500000
2nd row384047.41688983
3rd row387744.56187800000
4th row388303.80706500000
5th row386960.13317900000
ValueCountFrequency (%)
좌표정보(x 30
 
1.6%
394457.407487917 16
 
0.9%
179760.765742 12
 
0.7%
234729.708066 10
 
0.5%
177158.311187542 10
 
0.5%
387608.014165034 8
 
0.4%
201131.707177722 8
 
0.4%
345549.11017 8
 
0.4%
209807.530866 7
 
0.4%
382883.341064998 7
 
0.4%
Other values (1110) 1711
93.7%
2024-04-18T03:44:52.960564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9292
25.7%
1 2915
 
8.1%
2 2822
 
7.8%
3 2615
 
7.2%
7 2528
 
7.0%
0 2490
 
6.9%
8 2388
 
6.6%
4 2379
 
6.6%
6 2269
 
6.3%
9 2247
 
6.2%
Other values (9) 4205
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24890
68.9%
Space Separator 9292
 
25.7%
Other Punctuation 1758
 
4.9%
Other Letter 120
 
0.3%
Close Punctuation 30
 
0.1%
Uppercase Letter 30
 
0.1%
Open Punctuation 30
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2915
11.7%
2 2822
11.3%
3 2615
10.5%
7 2528
10.2%
0 2490
10.0%
8 2388
9.6%
4 2379
9.6%
6 2269
9.1%
9 2247
9.0%
5 2237
9.0%
Other Letter
ValueCountFrequency (%)
30
25.0%
30
25.0%
30
25.0%
30
25.0%
Space Separator
ValueCountFrequency (%)
9292
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1758
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36000
99.6%
Hangul 120
 
0.3%
Latin 30
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9292
25.8%
1 2915
 
8.1%
2 2822
 
7.8%
3 2615
 
7.3%
7 2528
 
7.0%
0 2490
 
6.9%
8 2388
 
6.6%
4 2379
 
6.6%
6 2269
 
6.3%
9 2247
 
6.2%
Other values (4) 4055
11.3%
Hangul
ValueCountFrequency (%)
30
25.0%
30
25.0%
30
25.0%
30
25.0%
Latin
ValueCountFrequency (%)
X 30
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36030
99.7%
Hangul 120
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9292
25.8%
1 2915
 
8.1%
2 2822
 
7.8%
3 2615
 
7.3%
7 2528
 
7.0%
0 2490
 
6.9%
8 2388
 
6.6%
4 2379
 
6.6%
6 2269
 
6.3%
9 2247
 
6.2%
Other values (5) 4085
11.3%
Hangul
ValueCountFrequency (%)
30
25.0%
30
25.0%
30
25.0%
30
25.0%

y
Text

MISSING 

Distinct1121
Distinct (%)61.3%
Missing89
Missing (%)4.6%
Memory size15.1 KiB
2024-04-18T03:44:53.158615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.785675
Min length7

Characters and Unicode

Total characters36188
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

Unique807 ?
Unique (%)44.1%

Sample

1st row183520.00335200000
2nd row180228.452549615
3rd row186296.09030300000
4th row200687.21863900000
5th row197033.36238800000
ValueCountFrequency (%)
좌표정보(y 30
 
1.6%
187231.530457387 16
 
0.9%
200615.222426 12
 
0.7%
462546.660972252 10
 
0.5%
318634.956535 10
 
0.5%
418721.576288345 8
 
0.4%
185703.079007724 8
 
0.4%
268620.845678 8
 
0.4%
413684.298219281 7
 
0.4%
204962.55596119 7
 
0.4%
Other values (1112) 1715
93.7%
2024-04-18T03:44:53.462426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9260
25.6%
4 3134
 
8.7%
2 2747
 
7.6%
1 2653
 
7.3%
3 2516
 
7.0%
5 2413
 
6.7%
0 2376
 
6.6%
8 2331
 
6.4%
9 2297
 
6.3%
7 2268
 
6.3%
Other values (11) 4193
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24915
68.8%
Space Separator 9260
 
25.6%
Other Punctuation 1762
 
4.9%
Other Letter 120
 
0.3%
Dash Punctuation 41
 
0.1%
Close Punctuation 30
 
0.1%
Uppercase Letter 30
 
0.1%
Open Punctuation 30
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3134
12.6%
2 2747
11.0%
1 2653
10.6%
3 2516
10.1%
5 2413
9.7%
0 2376
9.5%
8 2331
9.4%
9 2297
9.2%
7 2268
9.1%
6 2180
8.7%
Other Letter
ValueCountFrequency (%)
30
25.0%
30
25.0%
30
25.0%
30
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1758
99.8%
: 4
 
0.2%
Space Separator
ValueCountFrequency (%)
9260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36038
99.6%
Hangul 120
 
0.3%
Latin 30
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9260
25.7%
4 3134
 
8.7%
2 2747
 
7.6%
1 2653
 
7.4%
3 2516
 
7.0%
5 2413
 
6.7%
0 2376
 
6.6%
8 2331
 
6.5%
9 2297
 
6.4%
7 2268
 
6.3%
Other values (6) 4043
11.2%
Hangul
ValueCountFrequency (%)
30
25.0%
30
25.0%
30
25.0%
30
25.0%
Latin
ValueCountFrequency (%)
Y 30
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36068
99.7%
Hangul 120
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9260
25.7%
4 3134
 
8.7%
2 2747
 
7.6%
1 2653
 
7.4%
3 2516
 
7.0%
5 2413
 
6.7%
0 2376
 
6.6%
8 2331
 
6.5%
9 2297
 
6.4%
7 2268
 
6.3%
Other values (7) 4073
11.3%
Hangul
ValueCountFrequency (%)
30
25.0%
30
25.0%
30
25.0%
30
25.0%

lastmodts
Real number (ℝ)

Distinct1346
Distinct (%)70.3%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2.0195232 × 1013
Minimum2.0111031 × 1013
Maximum2.0201218 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2024-04-18T03:44:53.582159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0111031 × 1013
5-th percentile2.0181211 × 1013
Q12.0190703 × 1013
median2.0200131 × 1013
Q32.0200813 × 1013
95-th percentile2.0201201 × 1013
Maximum2.0201218 × 1013
Range9.0187079 × 1010
Interquartile range (IQR)1.0109592 × 1010

Descriptive statistics

Standard deviation7.1474848 × 109
Coefficient of variation (CV)0.00035391942
Kurtosis34.621761
Mean2.0195232 × 1013
Median Absolute Deviation (MAD)1.079548 × 109
Skewness-3.5060758
Sum3.8653674 × 1016
Variance5.108654 × 1019
MonotonicityNot monotonic
2024-04-18T03:44:53.697532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200629141054 4
 
0.2%
20200806152510 4
 
0.2%
20201120105150 3
 
0.2%
20190514141113 3
 
0.2%
20200327133003 3
 
0.2%
20200805135918 3
 
0.2%
20190426145910 3
 
0.2%
20200915162250 3
 
0.2%
20190426164259 3
 
0.2%
20190426174734 3
 
0.2%
Other values (1336) 1882
98.1%
(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 (%)
20201218164602 2
0.1%
20201218164507 3
0.2%
20201218164433 3
0.2%
20201218161224 1
 
0.1%
20201218152212 2
0.1%
20201218100655 1
 
0.1%
20201217203609 3
0.2%
20201217113442 1
 
0.1%
20201217101023 1
 
0.1%
20201217085045 1
 
0.1%

uptaenm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
업태구분명
357 

Length

Max length5
Median length4
Mean length4.1861314
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> 1561
81.4%
업태구분명 357
 
18.6%

Length

2024-04-18T03:44:53.814848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:53.913266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
업태구분명 357
 
18.6%

sitetel
Text

MISSING 

Distinct125
Distinct (%)7.0%
Missing143
Missing (%)7.5%
Memory size15.1 KiB
2024-04-18T03:44:54.138038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.810704
Min length4

Characters and Unicode

Total characters20964
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)5.2%

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 1558
87.8%
전화번호 40
 
2.3%
031-245-5100 4
 
0.2%
061-373-4506 3
 
0.2%
02-554-0150 3
 
0.2%
051-292-1092 3
 
0.2%
063-561-3698 3
 
0.2%
031-958-5200 3
 
0.2%
042-364-0088 3
 
0.2%
054-822-1212 3
 
0.2%
Other values (115) 152
 
8.6%
2024-04-18T03:44:54.501267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4830
23.0%
- 3417
16.3%
2 3337
15.9%
3 3328
15.9%
0 1931
 
9.2%
5 1750
 
8.3%
4 1727
 
8.2%
6 158
 
0.8%
8 121
 
0.6%
7 114
 
0.5%
Other values (6) 251
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17384
82.9%
Dash Punctuation 3417
 
16.3%
Other Letter 160
 
0.8%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4830
27.8%
2 3337
19.2%
3 3328
19.1%
0 1931
 
11.1%
5 1750
 
10.1%
4 1727
 
9.9%
6 158
 
0.9%
8 121
 
0.7%
7 114
 
0.7%
9 88
 
0.5%
Other Letter
ValueCountFrequency (%)
40
25.0%
40
25.0%
40
25.0%
40
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 3417
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20804
99.2%
Hangul 160
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4830
23.2%
- 3417
16.4%
2 3337
16.0%
3 3328
16.0%
0 1931
 
9.3%
5 1750
 
8.4%
4 1727
 
8.3%
6 158
 
0.8%
8 121
 
0.6%
7 114
 
0.5%
Other values (2) 91
 
0.4%
Hangul
ValueCountFrequency (%)
40
25.0%
40
25.0%
40
25.0%
40
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20804
99.2%
Hangul 160
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4830
23.2%
- 3417
16.4%
2 3337
16.0%
3 3328
16.0%
0 1931
 
9.3%
5 1750
 
8.4%
4 1727
 
8.3%
6 158
 
0.8%
8 121
 
0.6%
7 114
 
0.5%
Other values (2) 91
 
0.4%
Hangul
ValueCountFrequency (%)
40
25.0%
40
25.0%
40
25.0%
40
25.0%

openymd
Text

MISSING 

Distinct81
Distinct (%)19.4%
Missing1501
Missing (%)78.3%
Memory size15.1 KiB
2024-04-18T03:44:54.710573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.9496403
Min length4

Characters and Unicode

Total characters2064
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

Unique69 ?
Unique (%)16.5%

Sample

1st row19780711
2nd row20150325
3rd row20060525
4th row20030323
5th row20090123
ValueCountFrequency (%)
개관일자 318
76.3%
20181012 4
 
1.0%
20171026 3
 
0.7%
20190802 3
 
0.7%
20200410 3
 
0.7%
20181022 3
 
0.7%
20150716 3
 
0.7%
20191220 3
 
0.7%
20201023 2
 
0.5%
20141001 2
 
0.5%
Other values (71) 73
 
17.5%
2024-04-18T03:44:55.027855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
15.4%
318
15.4%
318
15.4%
318
15.4%
0 246
11.9%
2 172
8.3%
1 168
8.1%
9 50
 
2.4%
6 31
 
1.5%
8 30
 
1.5%
Other values (4) 95
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1272
61.6%
Decimal Number 792
38.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 246
31.1%
2 172
21.7%
1 168
21.2%
9 50
 
6.3%
6 31
 
3.9%
8 30
 
3.8%
7 25
 
3.2%
5 24
 
3.0%
4 23
 
2.9%
3 23
 
2.9%
Other Letter
ValueCountFrequency (%)
318
25.0%
318
25.0%
318
25.0%
318
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1272
61.6%
Common 792
38.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 246
31.1%
2 172
21.7%
1 168
21.2%
9 50
 
6.3%
6 31
 
3.9%
8 30
 
3.8%
7 25
 
3.2%
5 24
 
3.0%
4 23
 
2.9%
3 23
 
2.9%
Hangul
ValueCountFrequency (%)
318
25.0%
318
25.0%
318
25.0%
318
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1272
61.6%
ASCII 792
38.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
318
25.0%
318
25.0%
318
25.0%
318
25.0%
ASCII
ValueCountFrequency (%)
0 246
31.1%
2 172
21.7%
1 168
21.2%
9 50
 
6.3%
6 31
 
3.9%
8 30
 
3.8%
7 25
 
3.2%
5 24
 
3.0%
4 23
 
2.9%
3 23
 
2.9%

stroomcnt
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
객실수
357 

Length

Max length4
Median length4
Mean length3.8138686
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> 1561
81.4%
객실수 357
 
18.6%

Length

2024-04-18T03:44:55.141439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:55.217081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
객실수 357
 
18.6%

bdngsrvnm
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1441 
건물용도명
332 
근린생활시설
 
82
문화시설
 
21
기타
 
19
Other values (4)
 
23

Length

Max length6
Median length4
Mean length4.24244
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> 1441
75.1%
건물용도명 332
 
17.3%
근린생활시설 82
 
4.3%
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

2024-04-18T03:44:55.327306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:55.427635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1441
75.1%
건물용도명 332
 
17.3%
근린생활시설 82
 
4.3%
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 size15.1 KiB
<NA>
1560 
건축연면적
357 
3499
 
1

Length

Max length5
Median length4
Mean length4.1861314
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> 1560
81.3%
건축연면적 357
 
18.6%
3499 1
 
0.1%

Length

2024-04-18T03:44:55.527666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:55.607873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1560
81.3%
건축연면적 357
 
18.6%
3499 1
 
0.1%

svnsr
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
기념품종류
357 

Length

Max length5
Median length4
Mean length4.1861314
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> 1561
81.4%
기념품종류 357
 
18.6%

Length

2024-04-18T03:44:55.701439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:55.803426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
기념품종류 357
 
18.6%

plninsurstdt
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1560 
기획여행보험시작일자
357 
20180831
 
1

Length

Max length10
Median length4
Mean length5.1188738
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> 1560
81.3%
기획여행보험시작일자 357
 
18.6%
20180831 1
 
0.1%

Length

2024-04-18T03:44:55.890954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:55.970602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1560
81.3%
기획여행보험시작일자 357
 
18.6%
20180831 1
 
0.1%

plninsurenddt
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1560 
기획여행보험종료일자
357 
20190831
 
1

Length

Max length10
Median length4
Mean length5.1188738
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> 1560
81.3%
기획여행보험종료일자 357
 
18.6%
20190831 1
 
0.1%

Length

2024-04-18T03:44:56.055880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:56.136202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1560
81.3%
기획여행보험종료일자 357
 
18.6%
20190831 1
 
0.1%

playutscntdtl
Text

MISSING 

Distinct220
Distinct (%)32.4%
Missing1238
Missing (%)64.5%
Memory size15.1 KiB
2024-04-18T03:44:56.394040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length7
Mean length15.005882
Min length2

Characters and Unicode

Total characters10204
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

Unique149 ?
Unique (%)21.9%

Sample

1st row붕붕뜀틀 3대
2nd row미니바이킹 1대
3rd row미니바이킹 1대
4th row미니바이킹 1대
5th row놀이기구수내역
ValueCountFrequency (%)
놀이기구수내역 324
 
18.4%
1대 78
 
4.4%
1종 68
 
3.9%
2종 47
 
2.7%
대상 42
 
2.4%
유기기구 40
 
2.3%
붕붕뜀틀 34
 
1.9%
안전성검사 30
 
1.7%
안전성검사대상 30
 
1.7%
3종 28
 
1.6%
Other values (408) 1043
59.1%
2024-04-18T03:44:56.814326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1122
 
11.0%
492
 
4.8%
489
 
4.8%
1 423
 
4.1%
392
 
3.8%
379
 
3.7%
351
 
3.4%
350
 
3.4%
332
 
3.3%
324
 
3.2%
Other values (298) 5550
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6833
67.0%
Decimal Number 1315
 
12.9%
Space Separator 1122
 
11.0%
Other Punctuation 432
 
4.2%
Open Punctuation 163
 
1.6%
Close Punctuation 163
 
1.6%
Dash Punctuation 63
 
0.6%
Lowercase Letter 61
 
0.6%
Uppercase Letter 32
 
0.3%
Other Symbol 18
 
0.2%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
492
 
7.2%
489
 
7.2%
392
 
5.7%
379
 
5.5%
351
 
5.1%
350
 
5.1%
332
 
4.9%
324
 
4.7%
249
 
3.6%
184
 
2.7%
Other values (248) 3291
48.2%
Lowercase Letter
ValueCountFrequency (%)
o 8
13.1%
r 8
13.1%
a 6
9.8%
m 6
9.8%
v 5
8.2%
n 5
8.2%
c 5
8.2%
e 5
8.2%
h 3
 
4.9%
s 3
 
4.9%
Other values (6) 7
11.5%
Decimal Number
ValueCountFrequency (%)
1 423
32.2%
2 260
19.8%
0 166
 
12.6%
3 109
 
8.3%
4 76
 
5.8%
5 68
 
5.2%
6 57
 
4.3%
8 54
 
4.1%
9 53
 
4.0%
7 49
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
R 7
21.9%
V 7
21.9%
F 4
12.5%
S 3
9.4%
I 3
9.4%
M 3
9.4%
X 3
9.4%
U 1
 
3.1%
O 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 253
58.6%
. 100
 
23.1%
: 47
 
10.9%
/ 27
 
6.2%
@ 5
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 161
98.8%
[ 2
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 161
98.8%
] 2
 
1.2%
Other Symbol
ValueCountFrequency (%)
15
83.3%
3
 
16.7%
Space Separator
ValueCountFrequency (%)
1122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6833
67.0%
Common 3278
32.1%
Latin 93
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
492
 
7.2%
489
 
7.2%
392
 
5.7%
379
 
5.5%
351
 
5.1%
350
 
5.1%
332
 
4.9%
324
 
4.7%
249
 
3.6%
184
 
2.7%
Other values (248) 3291
48.2%
Common
ValueCountFrequency (%)
1122
34.2%
1 423
 
12.9%
2 260
 
7.9%
, 253
 
7.7%
0 166
 
5.1%
( 161
 
4.9%
) 161
 
4.9%
3 109
 
3.3%
. 100
 
3.1%
4 76
 
2.3%
Other values (15) 447
 
13.6%
Latin
ValueCountFrequency (%)
o 8
 
8.6%
r 8
 
8.6%
R 7
 
7.5%
V 7
 
7.5%
a 6
 
6.5%
m 6
 
6.5%
v 5
 
5.4%
n 5
 
5.4%
c 5
 
5.4%
e 5
 
5.4%
Other values (15) 31
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6833
67.0%
ASCII 3353
32.9%
CJK Compat 15
 
0.1%
Misc Symbols 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1122
33.5%
1 423
 
12.6%
2 260
 
7.8%
, 253
 
7.5%
0 166
 
5.0%
( 161
 
4.8%
) 161
 
4.8%
3 109
 
3.3%
. 100
 
3.0%
4 76
 
2.3%
Other values (38) 522
15.6%
Hangul
ValueCountFrequency (%)
492
 
7.2%
489
 
7.2%
392
 
5.7%
379
 
5.5%
351
 
5.1%
350
 
5.1%
332
 
4.9%
324
 
4.7%
249
 
3.6%
184
 
2.7%
Other values (248) 3291
48.2%
CJK Compat
ValueCountFrequency (%)
15
100.0%
Misc Symbols
ValueCountFrequency (%)
3
100.0%

playfacilcnt
Categorical

IMBALANCE 

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1121 
1
262 
놀이시설수
254 
2
114 
3
 
44
Other values (15)
123 

Length

Max length5
Median length4
Mean length3.2924922
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> 1121
58.4%
1 262
 
13.7%
놀이시설수 254
 
13.2%
2 114
 
5.9%
3 44
 
2.3%
5 42
 
2.2%
4 37
 
1.9%
0 9
 
0.5%
8 6
 
0.3%
7 5
 
0.3%
Other values (10) 24
 
1.3%

Length

2024-04-18T03:44:56.932460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1121
58.4%
1 262
 
13.7%
놀이시설수 254
 
13.2%
2 114
 
5.9%
3 44
 
2.3%
5 42
 
2.2%
4 37
 
1.9%
0 9
 
0.5%
8 6
 
0.3%
7 5
 
0.3%
Other values (10) 24
 
1.3%

stagear
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
무대면적
357 

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> 1561
81.4%
무대면적 357
 
18.6%

Length

2024-04-18T03:44:57.026873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:57.097547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
무대면적 357
 
18.6%

culwrkrsenm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
문화사업자구분명
357 

Length

Max length8
Median length4
Mean length4.7445255
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> 1561
81.4%
문화사업자구분명 357
 
18.6%

Length

2024-04-18T03:44:57.185491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:57.266214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
문화사업자구분명 357
 
18.6%

culphyedcobnm
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
신고유원시설업
1458 
허가유원시설업
243 
박물관
 
67
여행업
 
42
미술관
 
32
Other values (8)
 
76

Length

Max length8
Median length7
Mean length6.6631908
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고유원시설업 1458
76.0%
허가유원시설업 243
 
12.7%
박물관 67
 
3.5%
여행업 42
 
2.2%
미술관 32
 
1.7%
<NA> 17
 
0.9%
전문휴양업 16
 
0.8%
관광순환버스업 13
 
0.7%
문화체육업종명 10
 
0.5%
관광객이용시설업 6
 
0.3%
Other values (3) 14
 
0.7%

Length

2024-04-18T03:44:57.349167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신고유원시설업 1458
76.0%
허가유원시설업 243
 
12.7%
박물관 67
 
3.5%
여행업 42
 
2.2%
미술관 32
 
1.7%
na 17
 
0.9%
전문휴양업 16
 
0.8%
관광순환버스업 13
 
0.7%
문화체육업종명 10
 
0.5%
관광객이용시설업 6
 
0.3%
Other values (3) 14
 
0.7%

museumkindnm
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1503 
박물관미술관유형명
318 
전문박물관
 
47
미술관
 
30
종합박물관
 
9
Other values (5)
 
11

Length

Max length9
Median length4
Mean length4.8373306
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1503
78.4%
박물관미술관유형명 318
 
16.6%
전문박물관 47
 
2.5%
미술관 30
 
1.6%
종합박물관 9
 
0.5%
전시관 4
 
0.2%
문화관 2
 
0.1%
전시장 2
 
0.1%
기념관 2
 
0.1%
문화의집 1
 
0.1%

Length

2024-04-18T03:44:57.457250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:57.551150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1503
78.4%
박물관미술관유형명 318
 
16.6%
전문박물관 47
 
2.5%
미술관 30
 
1.6%
종합박물관 9
 
0.5%
전시관 4
 
0.2%
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 size15.1 KiB
<NA>
1501 
박물관미술관종류명
318 
1종
 
88
2종
 
11

Length

Max length9
Median length4
Mean length4.725756
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1501
78.3%
박물관미술관종류명 318
 
16.6%
1종 88
 
4.6%
2종 11
 
0.6%

Length

2024-04-18T03:44:57.658154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:57.743549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1501
78.3%
박물관미술관종류명 318
 
16.6%
1종 88
 
4.6%
2종 11
 
0.6%

geicpfacilen
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1484 
345 
Y
 
89

Length

Max length4
Median length4
Mean length3.3211679
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> 1484
77.4%
345
 
18.0%
Y 89
 
4.6%

Length

2024-04-18T03:44:57.832069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:57.915652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1484
77.4%
345
 
18.0%
y 89
 
4.6%

bcfacilen
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1418 
341 
Y
159 

Length

Max length4
Median length4
Mean length3.2179353
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> 1418
73.9%
341
 
17.8%
Y 159
 
8.3%

Length

2024-04-18T03:44:58.000607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:58.083321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1418
73.9%
341
 
17.8%
y 159
 
8.3%

bupnm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
법인명
357 

Length

Max length4
Median length4
Mean length3.8138686
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> 1561
81.4%
법인명 357
 
18.6%

Length

2024-04-18T03:44:58.168516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:58.242659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
법인명 357
 
18.6%

bupesbmntobj
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
법인설립목적
357 

Length

Max length6
Median length4
Mean length4.3722628
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> 1561
81.4%
법인설립목적 357
 
18.6%

Length

2024-04-18T03:44:58.330344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:58.413882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
법인설립목적 357
 
18.6%

bupdisorgymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
법인해산일자
357 

Length

Max length6
Median length4
Mean length4.3722628
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> 1561
81.4%
법인해산일자 357
 
18.6%

Length

2024-04-18T03:44:58.501218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:58.585328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
법인해산일자 357
 
18.6%

insurorgnm
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1551 
보험기관명
356 
서울보증보험주식회사
 
7
서울보증보험
 
3
한국관광협회중앙회
 
1

Length

Max length10
Median length4
Mean length4.213243
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> 1551
80.9%
보험기관명 356
 
18.6%
서울보증보험주식회사 7
 
0.4%
서울보증보험 3
 
0.2%
한국관광협회중앙회 1
 
0.1%

Length

2024-04-18T03:44:58.665426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:58.748376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1551
80.9%
보험기관명 356
 
18.6%
서울보증보험주식회사 7
 
0.4%
서울보증보험 3
 
0.2%
한국관광협회중앙회 1
 
0.1%

insurstdt
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1550 
보험시작일자
356 
20200207
 
6
20190405
 
3
20190607
 
2

Length

Max length8
Median length4
Mean length4.3962461
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> 1550
80.8%
보험시작일자 356
 
18.6%
20200207 6
 
0.3%
20190405 3
 
0.2%
20190607 2
 
0.1%
20181115 1
 
0.1%

Length

2024-04-18T03:44:58.846231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:58.936939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1550
80.8%
보험시작일자 356
 
18.6%
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 size15.1 KiB
<NA>
1550 
보험종료일자
356 
20210206
 
6
20200404
 
3
20200606
 
2

Length

Max length8
Median length4
Mean length4.3962461
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> 1550
80.8%
보험종료일자 356
 
18.6%
20210206 6
 
0.3%
20200404 3
 
0.2%
20200606 2
 
0.1%
20191114 1
 
0.1%

Length

2024-04-18T03:44:59.041073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:59.358222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1550
80.8%
보험종료일자 356
 
18.6%
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 size15.1 KiB
<NA>
1552 
부대시설내역
356 
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 length4.5145985
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> 1552
80.9%
부대시설내역 356
 
18.6%
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

2024-04-18T03:44:59.454988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:59.545993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1552
79.7%
부대시설내역 356
 
18.3%
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 size15.1 KiB
<NA>
1561 
선박제원
357 

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> 1561
81.4%
선박제원 357
 
18.6%

Length

2024-04-18T03:44:59.643877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:59.715782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
선박제원 357
 
18.6%

shpcnt
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
선박척수
357 

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> 1561
81.4%
선박척수 357
 
18.6%

Length

2024-04-18T03:44:59.789469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:44:59.860795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
선박척수 357
 
18.6%

shptottons
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
선박총톤수
357 

Length

Max length5
Median length4
Mean length4.1861314
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> 1561
81.4%
선박총톤수 357
 
18.6%

Length

2024-04-18T03:44:59.940097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:00.020939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
선박총톤수 357
 
18.6%

mngmbdnm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1501 
설립_운영주체구분명
318 
사립
 
49
공립
 
39
대학
 
8

Length

Max length10
Median length4
Mean length4.8915537
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1501
78.3%
설립_운영주체구분명 318
 
16.6%
사립 49
 
2.6%
공립 39
 
2.0%
대학 8
 
0.4%
국립 3
 
0.2%

Length

2024-04-18T03:45:00.116079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:00.204491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1501
78.3%
설립_운영주체구분명 318
 
16.6%
사립 49
 
2.6%
공립 39
 
2.0%
대학 8
 
0.4%
국립 3
 
0.2%

ndloan
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1558 
소요자금
357 
0
 
3

Length

Max length4
Median length4
Mean length3.9953076
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> 1558
81.2%
소요자금 357
 
18.6%
0 3
 
0.2%

Length

2024-04-18T03:45:00.298054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:00.377511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1558
81.2%
소요자금 357
 
18.6%
0 3
 
0.2%

monknum
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
승려수
357 

Length

Max length4
Median length4
Mean length3.8138686
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> 1561
81.4%
승려수 357
 
18.6%

Length

2024-04-18T03:45:00.459840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:00.545903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
승려수 357
 
18.6%

facilscp
Text

MISSING 

Distinct180
Distinct (%)28.7%
Missing1290
Missing (%)67.3%
Memory size15.1 KiB
2024-04-18T03:45:00.810124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.6082803
Min length1

Characters and Unicode

Total characters2266
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

Unique111 ?
Unique (%)17.7%

Sample

1st row32
2nd row32
3rd row32
4th row46
5th row시설규모
ValueCountFrequency (%)
시설규모 325
51.8%
234 6
 
1.0%
164 6
 
1.0%
76 4
 
0.6%
500 4
 
0.6%
474 4
 
0.6%
7719 4
 
0.6%
9190 3
 
0.5%
879 3
 
0.5%
3130 3
 
0.5%
Other values (170) 266
42.4%
2024-04-18T03:45:01.204708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
325
14.3%
325
14.3%
325
14.3%
325
14.3%
2 135
6.0%
1 132
5.8%
4 132
5.8%
3 127
 
5.6%
7 87
 
3.8%
8 85
 
3.8%
Other values (4) 268
11.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1300
57.4%
Decimal Number 966
42.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 135
14.0%
1 132
13.7%
4 132
13.7%
3 127
13.1%
7 87
9.0%
8 85
8.8%
6 76
7.9%
0 71
7.3%
9 61
6.3%
5 60
6.2%
Other Letter
ValueCountFrequency (%)
325
25.0%
325
25.0%
325
25.0%
325
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1300
57.4%
Common 966
42.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 135
14.0%
1 132
13.7%
4 132
13.7%
3 127
13.1%
7 87
9.0%
8 85
8.8%
6 76
7.9%
0 71
7.3%
9 61
6.3%
5 60
6.2%
Hangul
ValueCountFrequency (%)
325
25.0%
325
25.0%
325
25.0%
325
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1300
57.4%
ASCII 966
42.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
325
25.0%
325
25.0%
325
25.0%
325
25.0%
ASCII
ValueCountFrequency (%)
2 135
14.0%
1 132
13.7%
4 132
13.7%
3 127
13.1%
7 87
9.0%
8 85
8.8%
6 76
7.9%
0 71
7.3%
9 61
6.3%
5 60
6.2%

facilar
Text

MISSING 

Distinct200
Distinct (%)31.8%
Missing1290
Missing (%)67.3%
Memory size15.1 KiB
2024-04-18T03:45:01.523067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.4283439
Min length1

Characters and Unicode

Total characters2781
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

Unique144 ?
Unique (%)22.9%

Sample

1st row31.5
2nd row31.5
3rd row31.5
4th row46.1
5th row시설면적
ValueCountFrequency (%)
시설면적 325
51.8%
7719 4
 
0.6%
500 4
 
0.6%
864.45 3
 
0.5%
6461.79 3
 
0.5%
860 3
 
0.5%
1772.2 3
 
0.5%
348 3
 
0.5%
7252 3
 
0.5%
427.16 3
 
0.5%
Other values (190) 274
43.6%
2024-04-18T03:45:01.944080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
325
11.7%
325
11.7%
325
11.7%
325
11.7%
. 192
 
6.9%
3 172
 
6.2%
1 169
 
6.1%
4 158
 
5.7%
2 156
 
5.6%
8 132
 
4.7%
Other values (5) 502
18.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1300
46.7%
Decimal Number 1289
46.4%
Other Punctuation 192
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 172
13.3%
1 169
13.1%
4 158
12.3%
2 156
12.1%
8 132
10.2%
7 116
9.0%
6 111
8.6%
5 109
8.5%
0 85
6.6%
9 81
6.3%
Other Letter
ValueCountFrequency (%)
325
25.0%
325
25.0%
325
25.0%
325
25.0%
Other Punctuation
ValueCountFrequency (%)
. 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1481
53.3%
Hangul 1300
46.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 192
13.0%
3 172
11.6%
1 169
11.4%
4 158
10.7%
2 156
10.5%
8 132
8.9%
7 116
7.8%
6 111
7.5%
5 109
7.4%
0 85
5.7%
Hangul
ValueCountFrequency (%)
325
25.0%
325
25.0%
325
25.0%
325
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1481
53.3%
Hangul 1300
46.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
325
25.0%
325
25.0%
325
25.0%
325
25.0%
ASCII
ValueCountFrequency (%)
. 192
13.0%
3 172
11.6%
1 169
11.4%
4 158
10.7%
2 156
10.5%
8 132
8.9%
7 116
7.8%
6 111
7.5%
5 109
7.4%
0 85
5.7%

belvnum
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
신도수
357 

Length

Max length4
Median length4
Mean length3.8138686
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> 1561
81.4%
신도수 357
 
18.6%

Length

2024-04-18T03:45:02.061012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:02.136404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
신도수 357
 
18.6%

infoben
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1415 
339 
Y
164 

Length

Max length4
Median length4
Mean length3.213243
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> 1415
73.8%
339
 
17.7%
Y 164
 
8.6%

Length

2024-04-18T03:45:02.220219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:02.301251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1415
73.8%
339
 
17.7%
y 164
 
8.6%

engstntrnmnm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
영문상호명
357 

Length

Max length5
Median length4
Mean length4.1861314
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> 1561
81.4%
영문상호명 357
 
18.6%

Length

2024-04-18T03:45:02.386163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:02.461305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
영문상호명 357
 
18.6%

engstntrnmaddr
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
영문상호주소
357 

Length

Max length6
Median length4
Mean length4.3722628
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> 1561
81.4%
영문상호주소 357
 
18.6%

Length

2024-04-18T03:45:02.546783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:02.631553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
영문상호주소 357
 
18.6%

originhist
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1559 
유래연혁
357 
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 length4.0891554
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> 1559
81.3%
유래연혁 357
 
18.6%
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

2024-04-18T03:45:02.712505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:02.792889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1559
79.9%
유래연혁 357
 
18.3%
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 size15.1 KiB
<NA>
1460 
348 
Y
 
110

Length

Max length4
Median length4
Mean length3.2836288
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> 1460
76.1%
348
 
18.1%
Y 110
 
5.7%

Length

2024-04-18T03:45:02.896541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:02.983668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1460
76.1%
348
 
18.1%
y 110
 
5.7%

capt
Categorical

IMBALANCE 

Distinct33
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1514 
자본금
330 
50000000
 
9
0
 
9
30000000
 
7
Other values (28)
 
49

Length

Max length10
Median length4
Mean length3.9749739
Min length1

Unique

Unique19 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1514
78.9%
자본금 330
 
17.2%
50000000 9
 
0.5%
0 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 (23) 30
 
1.6%

Length

2024-04-18T03:45:03.066272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1514
78.9%
자본금 330
 
17.2%
50000000 9
 
0.5%
0 9
 
0.5%
30000000 7
 
0.4%
200000000 4
 
0.2%
100000000 4
 
0.2%
300000000 4
 
0.2%
7000000000 4
 
0.2%
1080000000 3
 
0.2%
Other values (23) 30
 
1.6%

tdtpnm
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1557 
전통사찰명
356 
창룡사
 
3
용화사
 
1
정수암
 
1

Length

Max length5
Median length4
Mean length4.1830031
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> 1557
81.2%
전통사찰명 356
 
18.6%
창룡사 3
 
0.2%
용화사 1
 
0.1%
정수암 1
 
0.1%

Length

2024-04-18T03:45:03.163115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:03.251284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1557
81.2%
전통사찰명 356
 
18.6%
창룡사 3
 
0.2%
용화사 1
 
0.1%
정수암 1
 
0.1%

mnfactreartclcn
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
제작취급품목내용
357 

Length

Max length8
Median length4
Mean length4.7445255
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> 1561
81.4%
제작취급품목내용 357
 
18.6%

Length

2024-04-18T03:45:03.349740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:03.433512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
제작취급품목내용 357
 
18.6%

chaircnt
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
좌석수
357 

Length

Max length4
Median length4
Mean length3.8138686
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> 1561
81.4%
좌석수 357
 
18.6%

Length

2024-04-18T03:45:03.514162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:03.590733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
좌석수 357
 
18.6%

nearenvnm
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1450 
주변환경명
334 
기타
 
91
학교정화(상대)
 
17
아파트지역
 
16
Other values (2)
 
10

Length

Max length8
Median length4
Mean length4.1293014
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> 1450
75.6%
주변환경명 334
 
17.4%
기타 91
 
4.7%
학교정화(상대) 17
 
0.9%
아파트지역 16
 
0.8%
주택가주변 9
 
0.5%
결혼예식장주변 1
 
0.1%

Length

2024-04-18T03:45:03.674364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:03.765779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1450
75.6%
주변환경명 334
 
17.4%
기타 91
 
4.7%
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 size15.1 KiB
<NA>
1561 
준공일자
357 

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> 1561
81.4%
준공일자 357
 
18.6%

Length

2024-04-18T03:45:03.856452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:03.931818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
준공일자 357
 
18.6%

jisgnumlay
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1474 
지상층수
337 
2
 
26
1
 
25
5
 
17
Other values (7)
 
39

Length

Max length4
Median length4
Mean length3.8331595
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> 1474
76.9%
지상층수 337
 
17.6%
2 26
 
1.4%
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

2024-04-18T03:45:04.020847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1474
76.9%
지상층수 337
 
17.6%
2 26
 
1.4%
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 size15.1 KiB
<NA>
1408 
지역구분명
328 
관리지역
 
47
자연녹지지역
 
40
일반주거지역
 
28
Other values (10)
 
67

Length

Max length6
Median length4
Mean length4.2883212
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> 1408
73.4%
지역구분명 328
 
17.1%
관리지역 47
 
2.5%
자연녹지지역 40
 
2.1%
일반주거지역 28
 
1.5%
일반상업지역 22
 
1.1%
근린상업지역 11
 
0.6%
주거지역 9
 
0.5%
준주거지역 8
 
0.4%
상업지역 5
 
0.3%
Other values (5) 12
 
0.6%

Length

2024-04-18T03:45:04.154865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1408
73.4%
지역구분명 328
 
17.1%
관리지역 47
 
2.5%
자연녹지지역 40
 
2.1%
일반주거지역 28
 
1.5%
일반상업지역 22
 
1.1%
근린상업지역 11
 
0.6%
주거지역 9
 
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 size15.1 KiB
<NA>
1557 
지정취소
357 
A
 
4

Length

Max length4
Median length4
Mean length3.9937435
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> 1557
81.2%
지정취소 357
 
18.6%
A 4
 
0.2%

Length

2024-04-18T03:45:04.262247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:04.364427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1557
81.2%
지정취소 357
 
18.6%
a 4
 
0.2%

asgncancelwhy
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
지정취소사유
357 

Length

Max length6
Median length4
Mean length4.3722628
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> 1561
81.4%
지정취소사유 357
 
18.6%

Length

2024-04-18T03:45:04.460267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:04.541596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
지정취소사유 357
 
18.6%

asgncancelymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
지정취소일자
357 

Length

Max length6
Median length4
Mean length4.3722628
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> 1561
81.4%
지정취소일자 357
 
18.6%

Length

2024-04-18T03:45:04.629449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:04.710368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
지정취소일자 357
 
18.6%

undernumlay
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1502 
지하층수
347 
1
 
49
2
 
9
4
 
4
Other values (3)
 
7

Length

Max length4
Median length4
Mean length3.8920751
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> 1502
78.3%
지하층수 347
 
18.1%
1 49
 
2.6%
2 9
 
0.5%
4 4
 
0.2%
0 3
 
0.2%
3 3
 
0.2%
5 1
 
0.1%

Length

2024-04-18T03:45:04.796775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:04.888462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1502
78.3%
지하층수 347
 
18.1%
1 49
 
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 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1557 
창립연대
357 
680
 
3
720
 
1

Length

Max length4
Median length4
Mean length3.9979145
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> 1557
81.2%
창립연대 357
 
18.6%
680 3
 
0.2%
720 1
 
0.1%

Length

2024-04-18T03:45:04.982780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:05.064755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1557
81.2%
창립연대 357
 
18.6%
680 3
 
0.2%
720 1
 
0.1%

totnumlay
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1494 
총층수
338 
1
 
16
6
 
16
3
 
13
Other values (7)
 
41

Length

Max length4
Median length4
Mean length3.689781
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> 1494
77.9%
총층수 338
 
17.6%
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

2024-04-18T03:45:05.154268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1494
77.9%
총층수 338
 
17.6%
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 size15.1 KiB
<NA>
1561 
폐관사유
357 

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> 1561
81.4%
폐관사유 357
 
18.6%

Length

2024-04-18T03:45:05.248063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:05.319380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
폐관사유 357
 
18.6%

closeymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
폐관일자
357 

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> 1561
81.4%
폐관일자 357
 
18.6%

Length

2024-04-18T03:45:05.393843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:05.465934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
폐관일자 357
 
18.6%

permcn
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
허가조건
357 

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> 1561
81.4%
허가조건 357
 
18.6%

Length

2024-04-18T03:45:05.541190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:05.619471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
허가조건 357
 
18.6%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
<NA>
1561 
회의실별동시수용인원
357 

Length

Max length10
Median length4
Mean length5.1167883
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> 1561
81.4%
회의실별동시수용인원 357
 
18.6%

Length

2024-04-18T03:45:05.699459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:05.776447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1561
81.4%
회의실별동시수용인원 357
 
18.6%

last_load_dttm
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2020-12-22 14:07:02
1912 
<NA>
 
6

Length

Max length19
Median length19
Mean length18.953076
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-22 14:07:02
2nd row2020-12-22 14:07:02
3rd row2020-12-22 14:07:02
4th row2020-12-22 14:07:02
5th row2020-12-22 14:07:02

Common Values

ValueCountFrequency (%)
2020-12-22 14:07:02 1912
99.7%
<NA> 6
 
0.3%

Length

2024-04-18T03:45:05.858977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:05.934489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-22 1912
49.9%
14:07:02 1912
49.9%
na 6
 
0.2%

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>2020-12-22 14:07:02
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>2020-12-22 14:07:02
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>2020-12-22 14:07:02
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>2020-12-22 14:07:02
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>2020-12-22 14:07:02
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>2020-12-22 14:07:02
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>2020-12-22 14:07:02
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>2020-12-22 14:07:02
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>2020-12-22 14:07:02
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>2020-12-22 14:07:02
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190819155410000CDFI527200202000000103_07_08_PI2020-12-05 00:23:25.0유원시설업(기타)아이행복키움터지번우편번호경상남도 창녕군 창녕읍 교리 1042-350323경상남도 창녕군 창녕읍 명덕로 2220201203폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중335199.627822383227996.0621824820201203160021업태구분명055-533-7676개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2020-12-22 14:07:02
190919164700000CDFI527200202000000103_07_08_PI2020-12-05 00:23:25.0유원시설업(기타)리틀엔젤<NA>전라북도 남원시 도통동 290-455736전라북도 남원시 동도1길 24 (도통동)20201203<NA><NA><NA><NA>영업/정상영업중235871.445741213473.73598920201203152550<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>신고유원시설업<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>2020-12-22 14:07:02
191019206440000B0401202000001103_07_05_PI2020-12-06 00:23:07.0박물관, 미술관선화기독교미술관지번우편번호충청남도 논산시 벌곡면 한삼천리 334번지 11호도로명우편번호도로명주소20201204폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업좌표정보(X)좌표정보(Y)20201204164554업태구분명전화번호20201204객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명박물관미술관1종법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수사립소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2020-12-22 14:07:02
191119215350000CDFI527200202000001103_07_08_PU2020-12-12 02:40:00.0유원시설업(기타)김해시수도박물관<NA>경상남도 김해시 한림면 명동리 736-150851경상남도 김해시 한림면 김해대로 1347, 수도박물관 1층20201204<NA><NA><NA><NA>영업/정상영업중365794.252270907199822.25521457420201210171913<NA>055-330-6674<NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA>신고유원시설업<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>2020-12-22 14:07:02
191219223900000CDFI527200202000000203_07_08_PI2020-12-06 00:23:07.0유원시설업(기타)메디치이앤에스(주)<NA>경기도 광명시 하안동 683 광명시하안도서관14245경기도 광명시 철망산로 46, 광명시하안도서관 3층 (하안동)20201204<NA><NA><NA><NA>영업/정상영업중188694.263616789440484.0615427420201204180402<NA>070-7525-8680<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>신고유원시설업<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>2020-12-22 14:07:02
191319233940000CDFI527200202000000603_07_08_PI2020-12-09 00:23:07.0유원시설업(기타)아이세상랜드지번우편번호경기도 고양시 일산서구 주엽동 73 태영프라자 118호10366경기도 고양시 일산서구 중앙로 1388, 태영프라자 118호 (주엽동)20201207폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중179238.725261115462941.22369784120201207181505업태구분명전화번호개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2020-12-22 14:07:02
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191519255670000CDFI527200202000000703_07_08_PU2020-12-13 02:40:00.0유원시설업(기타)진북편백골관광농원캠핑장지번우편번호경상남도 창원시 마산합포구 진북면 금산리 437 (외 2번지, 283-1, 449-1)51786경상남도 창원시 마산합포구 진북면 금산길 209-8120201208폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중331503.561119418184890.69813337720201211093302업태구분명055-271-3562개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명Y법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수Y영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2020-12-22 14:07:02
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