Overview

Dataset statistics

Number of variables80
Number of observations1935
Missing cells7128
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory643.1 B

Variable types

Text14
Numeric3
Categorical61
DateTime2

Alerts

last_load_dttm has constant value ""Constant
opnsvcid is highly imbalanced (65.6%)Imbalance
opnsvcnm is highly imbalanced (62.7%)Imbalance
sitepostno is highly imbalanced (55.9%)Imbalance
clgstdt is highly imbalanced (81.4%)Imbalance
clgenddt is highly imbalanced (80.5%)Imbalance
trdstatenm is highly imbalanced (67.2%)Imbalance
dtlstatenm is highly imbalanced (61.0%)Imbalance
bdngsrvnm is highly imbalanced (63.1%)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 (62.9%)Imbalance
museumkindnm is highly imbalanced (70.1%)Imbalance
museumsortnm is highly imbalanced (51.9%)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 (73.4%)Imbalance
mngmbdnm is highly imbalanced (60.9%)Imbalance
ndloan is highly imbalanced (55.3%)Imbalance
originhist is highly imbalanced (64.8%)Imbalance
capt is highly imbalanced (79.1%)Imbalance
tdtpnm is highly imbalanced (69.0%)Imbalance
nearenvnm is highly imbalanced (60.5%)Imbalance
jisgnumlay is highly imbalanced (68.9%)Imbalance
regnsenm is highly imbalanced (65.2%)Imbalance
asgncancel is highly imbalanced (55.0%)Imbalance
undernumlay is highly imbalanced (68.4%)Imbalance
estbhdate is highly imbalanced (64.3%)Imbalance
totnumlay is highly imbalanced (70.6%)Imbalance
rdnpostno has 25 (1.3%) missing valuesMissing
rdnwhladdr has 56 (2.9%) missing valuesMissing
dcbymd has 1296 (67.0%) missing valuesMissing
x has 94 (4.9%) missing valuesMissing
y has 92 (4.8%) missing valuesMissing
sitetel has 166 (8.6%) missing valuesMissing
openymd has 1512 (78.1%) missing valuesMissing
playutscntdtl has 1249 (64.5%) missing valuesMissing
facilscp has 1302 (67.3%) missing valuesMissing
facilar has 1302 (67.3%) missing valuesMissing
skey has unique valuesUnique

Reproduction

Analysis started2024-04-17 18:45:08.927741
Analysis finished2024-04-17 18:45:11.015840
Duration2.09 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Text

UNIQUE 

Distinct1935
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
2024-04-18T03:45:11.302345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length73
Mean length3.54677
Min length1

Characters and Unicode

Total characters6863
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

Unique1935 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
한다 2
 
0.1%
화재로 2
 
0.1%
1 1
 
0.1%
1255 1
 
0.1%
1270 1
 
0.1%
1269 1
 
0.1%
1268 1
 
0.1%
1267 1
 
0.1%
1266 1
 
0.1%
1262 1
 
0.1%
Other values (1969) 1969
99.4%
2024-04-18T03:45:11.726326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1535
22.4%
2 591
 
8.6%
3 589
 
8.6%
4 587
 
8.6%
5 584
 
8.5%
7 583
 
8.5%
8 583
 
8.5%
6 575
 
8.4%
9 532
 
7.8%
0 482
 
7.0%
Other values (90) 222
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6641
96.8%
Other Letter 152
 
2.2%
Space Separator 59
 
0.9%
Other Punctuation 5
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
4.6%
6
 
3.9%
5
 
3.3%
5
 
3.3%
5
 
3.3%
5
 
3.3%
4
 
2.6%
4
 
2.6%
4
 
2.6%
3
 
2.0%
Other values (75) 104
68.4%
Decimal Number
ValueCountFrequency (%)
1 1535
23.1%
2 591
 
8.9%
3 589
 
8.9%
4 587
 
8.8%
5 584
 
8.8%
7 583
 
8.8%
8 583
 
8.8%
6 575
 
8.7%
9 532
 
8.0%
0 482
 
7.3%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 2
40.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6711
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 1535
22.9%
2 591
 
8.8%
3 589
 
8.8%
4 587
 
8.7%
5 584
 
8.7%
7 583
 
8.7%
8 583
 
8.7%
6 575
 
8.6%
9 532
 
7.9%
0 482
 
7.2%
Other values (5) 70
 
1.0%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6711
97.8%
Hangul 147
 
2.1%
CJK 4
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1535
22.9%
2 591
 
8.8%
3 589
 
8.8%
4 587
 
8.7%
5 584
 
8.7%
7 583
 
8.7%
8 583
 
8.7%
6 575
 
8.6%
9 532
 
7.9%
0 482
 
7.2%
Other values (5) 70
 
1.0%
Hangul
ValueCountFrequency (%)
7
 
4.8%
6
 
4.1%
5
 
3.4%
5
 
3.4%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
4
 
2.7%
3
 
2.0%
Other values (70) 99
67.3%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

opnsfteamcode
Real number (ℝ)

Distinct210
Distinct (%)10.9%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean4478332
Minimum3000000
Maximum6520000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.1 KiB
2024-04-18T03:45:11.839637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3160000
Q13650000
median4230000
Q35240000
95-th percentile6430000
Maximum6520000
Range3520000
Interquartile range (IQR)1590000

Descriptive statistics

Standard deviation1003282.3
Coefficient of variation (CV)0.22403036
Kurtosis-0.8113489
Mean4478332
Median Absolute Deviation (MAD)750000
Skewness0.51995472
Sum8.647659 × 109
Variance1.0065754 × 1012
MonotonicityNot monotonic
2024-04-18T03:45:11.949214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6280000 65
 
3.4%
3740000 48
 
2.5%
5530000 43
 
2.2%
4050000 37
 
1.9%
5350000 32
 
1.7%
3940000 29
 
1.5%
6260000 28
 
1.4%
4670000 28
 
1.4%
3330000 26
 
1.3%
5670000 25
 
1.3%
Other values (200) 1570
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 14
0.7%
6450000 5
 
0.3%
6440000 6
 
0.3%
6430000 9
 
0.5%
6420000 2
 
0.1%

mgtno
Text

Distinct203
Distinct (%)10.5%
Missing4
Missing (%)0.2%
Memory size15.2 KiB
2024-04-18T03:45:12.138371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length19.569653
Min length15

Characters and Unicode

Total characters37789
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

Unique106 ?
Unique (%)5.5%

Sample

1st rowB04011992000001
2nd rowB04022015000001
3rd rowB04012007000001
4th rowB04012008000001
5th rowB04012009000001
ValueCountFrequency (%)
cdfi5272002019000001 223
 
11.5%
cdfi5272002019000002 170
 
8.8%
cdfi5272002020000001 159
 
8.2%
cdfi5272002019000003 122
 
6.3%
cdfi5271002019000001 106
 
5.5%
cdfi5272002019000004 93
 
4.8%
cdfi5272002020000002 87
 
4.5%
cdfi5272002019000005 76
 
3.9%
cdfi5272002020000003 46
 
2.4%
cdfi5272002019000006 45
 
2.3%
Other values (193) 804
41.6%
2024-04-18T03:45:12.431520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15870
42.0%
2 6208
 
16.4%
1 2563
 
6.8%
5 1878
 
5.0%
7 1849
 
4.9%
C 1821
 
4.8%
D 1755
 
4.6%
F 1755
 
4.6%
I 1755
 
4.6%
9 1192
 
3.2%
Other values (6) 1143
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30579
80.9%
Uppercase Letter 7189
 
19.0%
Dash Punctuation 21
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15870
51.9%
2 6208
 
20.3%
1 2563
 
8.4%
5 1878
 
6.1%
7 1849
 
6.0%
9 1192
 
3.9%
8 309
 
1.0%
4 283
 
0.9%
3 272
 
0.9%
6 155
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 1821
25.3%
D 1755
24.4%
F 1755
24.4%
I 1755
24.4%
B 103
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30600
81.0%
Latin 7189
 
19.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15870
51.9%
2 6208
 
20.3%
1 2563
 
8.4%
5 1878
 
6.1%
7 1849
 
6.0%
9 1192
 
3.9%
8 309
 
1.0%
4 283
 
0.9%
3 272
 
0.9%
6 155
 
0.5%
Latin
ValueCountFrequency (%)
C 1821
25.3%
D 1755
24.4%
F 1755
24.4%
I 1755
24.4%
B 103
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37789
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15870
42.0%
2 6208
 
16.4%
1 2563
 
6.8%
5 1878
 
5.0%
7 1849
 
4.9%
C 1821
 
4.8%
D 1755
 
4.6%
F 1755
 
4.6%
I 1755
 
4.6%
9 1192
 
3.2%
Other values (6) 1143
 
3.0%

opnsvcid
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
03_07_08_P
1467 
03_07_09_P
239 
03_07_05_P
 
103
03_07_02_P
 
66
03_07_10_P
 
17
Other values (9)
 
43

Length

Max length10
Median length10
Mean length9.9875969
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 1467
75.8%
03_07_09_P 239
 
12.4%
03_07_05_P 103
 
5.3%
03_07_02_P 66
 
3.4%
03_07_10_P 17
 
0.9%
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

2024-04-18T03:45:12.543534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
03_07_08_p 1467
75.8%
03_07_09_p 239
 
12.4%
03_07_05_p 103
 
5.3%
03_07_02_p 66
 
3.4%
03_07_10_p 17
 
0.9%
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 size15.2 KiB
U
1008 
I
923 
<NA>
 
4

Length

Max length4
Median length1
Mean length1.0062016
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 1008
52.1%
I 923
47.7%
<NA> 4
 
0.2%

Length

2024-04-18T03:45:12.634191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:12.709478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 1008
52.1%
i 923
47.7%
na 4
 
0.2%
Distinct661
Distinct (%)34.2%
Missing4
Missing (%)0.2%
Memory size15.2 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-05 02:40:00
2024-04-18T03:45:12.792004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:45:12.900233image/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 size15.2 KiB
유원시설업(기타)
1467 
일반유원시설업
239 
박물관, 미술관
 
83
관광사업자
 
66
<NA>
 
24
Other values (7)
 
56

Length

Max length9
Median length9
Mean length8.4175711
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) 1467
75.8%
일반유원시설업 239
 
12.4%
박물관, 미술관 83
 
4.3%
관광사업자 66
 
3.4%
<NA> 24
 
1.2%
전문휴양업 17
 
0.9%
시내순환관광업 13
 
0.7%
전통사찰 7
 
0.4%
관광궤도업 5
 
0.3%
종합유원시설업 5
 
0.3%
Other values (2) 9
 
0.5%

Length

2024-04-18T03:45:13.009748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유원시설업(기타 1467
72.7%
일반유원시설업 239
 
11.8%
박물관 83
 
4.1%
미술관 83
 
4.1%
관광사업자 66
 
3.3%
na 24
 
1.2%
전문휴양업 17
 
0.8%
시내순환관광업 13
 
0.6%
전통사찰 7
 
0.3%
관광궤도업 5
 
0.2%
Other values (3) 14
 
0.7%

bplcnm
Text

Distinct1251
Distinct (%)64.8%
Missing4
Missing (%)0.2%
Memory size15.2 KiB
2024-04-18T03:45:13.249215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length8.8493009
Min length2

Characters and Unicode

Total characters17088
Distinct characters640
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique921 ?
Unique (%)47.7%

Sample

1st row부산광역시립박물관
2nd row석당미술관
3rd row부산포민속박물관
4th row범어사 성보박물관
5th row킴스아트필드미술관
ValueCountFrequency (%)
키즈카페 76
 
2.4%
주식회사 73
 
2.3%
물놀이장 43
 
1.4%
키즈월드 24
 
0.8%
고구려기획 20
 
0.6%
vr 18
 
0.6%
점핑몬스터 17
 
0.5%
꼬마대통령 17
 
0.5%
헬로방방 17
 
0.5%
노리파크 17
 
0.5%
Other values (1565) 2789
89.6%
2024-04-18T03:45:13.614104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1184
 
6.9%
539
 
3.2%
390
 
2.3%
388
 
2.3%
377
 
2.2%
375
 
2.2%
375
 
2.2%
325
 
1.9%
( 324
 
1.9%
) 324
 
1.9%
Other values (630) 12487
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14369
84.1%
Space Separator 1184
 
6.9%
Uppercase Letter 486
 
2.8%
Open Punctuation 324
 
1.9%
Close Punctuation 324
 
1.9%
Decimal Number 180
 
1.1%
Lowercase Letter 160
 
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 (%)
539
 
3.8%
390
 
2.7%
388
 
2.7%
377
 
2.6%
375
 
2.6%
375
 
2.6%
325
 
2.3%
239
 
1.7%
217
 
1.5%
196
 
1.4%
Other values (558) 10948
76.2%
Uppercase Letter
ValueCountFrequency (%)
R 60
12.3%
V 49
 
10.1%
A 38
 
7.8%
K 36
 
7.4%
N 33
 
6.8%
O 31
 
6.4%
E 24
 
4.9%
G 24
 
4.9%
S 23
 
4.7%
D 19
 
3.9%
Other values (16) 149
30.7%
Lowercase Letter
ValueCountFrequency (%)
n 16
 
10.0%
u 14
 
8.8%
e 13
 
8.1%
l 13
 
8.1%
o 13
 
8.1%
t 11
 
6.9%
i 9
 
5.6%
a 8
 
5.0%
k 8
 
5.0%
x 7
 
4.4%
Other values (14) 48
30.0%
Decimal Number
ValueCountFrequency (%)
2 49
27.2%
1 38
21.1%
0 24
13.3%
3 21
11.7%
4 16
 
8.9%
5 12
 
6.7%
8 10
 
5.6%
9 9
 
5.0%
7 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
& 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 (%)
1184
100.0%
Open Punctuation
ValueCountFrequency (%)
( 324
100.0%
Close 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 14376
84.1%
Common 2066
 
12.1%
Latin 646
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
539
 
3.7%
390
 
2.7%
388
 
2.7%
377
 
2.6%
375
 
2.6%
375
 
2.6%
325
 
2.3%
239
 
1.7%
217
 
1.5%
196
 
1.4%
Other values (559) 10955
76.2%
Latin
ValueCountFrequency (%)
R 60
 
9.3%
V 49
 
7.6%
A 38
 
5.9%
K 36
 
5.6%
N 33
 
5.1%
O 31
 
4.8%
E 24
 
3.7%
G 24
 
3.7%
S 23
 
3.6%
D 19
 
2.9%
Other values (40) 309
47.8%
Common
ValueCountFrequency (%)
1184
57.3%
( 324
 
15.7%
) 324
 
15.7%
2 49
 
2.4%
1 38
 
1.8%
0 24
 
1.2%
3 21
 
1.0%
& 16
 
0.8%
4 16
 
0.8%
+ 13
 
0.6%
Other values (11) 57
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14363
84.1%
ASCII 2709
 
15.9%
None 9
 
0.1%
Compat Jamo 6
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1184
43.7%
( 324
 
12.0%
) 324
 
12.0%
R 60
 
2.2%
2 49
 
1.8%
V 49
 
1.8%
A 38
 
1.4%
1 38
 
1.4%
K 36
 
1.3%
N 33
 
1.2%
Other values (59) 574
21.2%
Hangul
ValueCountFrequency (%)
539
 
3.8%
390
 
2.7%
388
 
2.7%
377
 
2.6%
375
 
2.6%
375
 
2.6%
325
 
2.3%
239
 
1.7%
217
 
1.5%
196
 
1.4%
Other values (556) 10942
76.2%
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 size15.2 KiB
<NA>
1575 
지번우편번호
359 
483020
 
1

Length

Max length6
Median length4
Mean length4.372093
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> 1575
81.4%
지번우편번호 359
 
18.6%
483020 1
 
0.1%

Length

2024-04-18T03:45:13.732171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:13.813987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1575
81.4%
지번우편번호 359
 
18.6%
483020 1
 
0.1%
Distinct1272
Distinct (%)65.9%
Missing4
Missing (%)0.2%
Memory size15.2 KiB
2024-04-18T03:45:14.071080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length26.632315
Min length15

Characters and Unicode

Total characters51427
Distinct characters514
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

Unique947 ?
Unique (%)49.0%

Sample

1st row부산광역시 남구 대연동 948번지 1호
2nd row부산광역시 서구 부민동2가 1번지
3rd row부산광역시 부산진구 부전동 168번지 176호
4th row부산광역시 금정구 청룡동 546번지
5th row부산광역시 금정구 금성동 285번지
ValueCountFrequency (%)
경기도 453
 
4.4%
서울특별시 167
 
1.6%
인천광역시 163
 
1.6%
경상남도 158
 
1.5%
부산광역시 149
 
1.4%
경상북도 127
 
1.2%
전라남도 116
 
1.1%
전라북도 100
 
1.0%
강원도 99
 
1.0%
충청남도 85
 
0.8%
Other values (3281) 8776
84.4%
2024-04-18T03:45:14.474850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10271
 
20.0%
1 1789
 
3.5%
1784
 
3.5%
1681
 
3.3%
1428
 
2.8%
1364
 
2.7%
1263
 
2.5%
- 1204
 
2.3%
2 1155
 
2.2%
1085
 
2.1%
Other values (504) 28403
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31064
60.4%
Space Separator 10271
 
20.0%
Decimal Number 8511
 
16.5%
Dash Punctuation 1204
 
2.3%
Uppercase Letter 218
 
0.4%
Other Punctuation 59
 
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 (%)
1784
 
5.7%
1681
 
5.4%
1428
 
4.6%
1364
 
4.4%
1263
 
4.1%
1085
 
3.5%
832
 
2.7%
652
 
2.1%
642
 
2.1%
638
 
2.1%
Other values (452) 19695
63.4%
Uppercase Letter
ValueCountFrequency (%)
B 43
19.7%
E 29
13.3%
A 20
9.2%
C 20
9.2%
G 12
 
5.5%
L 12
 
5.5%
T 11
 
5.0%
P 9
 
4.1%
S 9
 
4.1%
K 8
 
3.7%
Other values (15) 45
20.6%
Decimal Number
ValueCountFrequency (%)
1 1789
21.0%
2 1155
13.6%
0 827
9.7%
4 810
9.5%
3 789
9.3%
5 716
8.4%
6 710
 
8.3%
7 598
 
7.0%
8 559
 
6.6%
9 558
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
46.2%
h 3
23.1%
w 1
 
7.7%
l 1
 
7.7%
a 1
 
7.7%
c 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 45
76.3%
. 8
 
13.6%
" 6
 
10.2%
Letter Number
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Space Separator
ValueCountFrequency (%)
10271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1204
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 31062
60.4%
Common 20124
39.1%
Latin 238
 
0.5%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1784
 
5.7%
1681
 
5.4%
1428
 
4.6%
1364
 
4.4%
1263
 
4.1%
1085
 
3.5%
832
 
2.7%
652
 
2.1%
642
 
2.1%
638
 
2.1%
Other values (452) 19693
63.4%
Latin
ValueCountFrequency (%)
B 43
18.1%
E 29
12.2%
A 20
 
8.4%
C 20
 
8.4%
G 12
 
5.0%
L 12
 
5.0%
T 11
 
4.6%
P 9
 
3.8%
S 9
 
3.8%
K 8
 
3.4%
Other values (23) 65
27.3%
Common
ValueCountFrequency (%)
10271
51.0%
1 1789
 
8.9%
- 1204
 
6.0%
2 1155
 
5.7%
0 827
 
4.1%
4 810
 
4.0%
3 789
 
3.9%
5 716
 
3.6%
6 710
 
3.5%
7 598
 
3.0%
Other values (8) 1255
 
6.2%
Han
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31061
60.4%
ASCII 20355
39.6%
Number Forms 7
 
< 0.1%
CJK 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10271
50.5%
1 1789
 
8.8%
- 1204
 
5.9%
2 1155
 
5.7%
0 827
 
4.1%
4 810
 
4.0%
3 789
 
3.9%
5 716
 
3.5%
6 710
 
3.5%
7 598
 
2.9%
Other values (39) 1486
 
7.3%
Hangul
ValueCountFrequency (%)
1784
 
5.7%
1681
 
5.4%
1428
 
4.6%
1364
 
4.4%
1263
 
4.1%
1085
 
3.5%
832
 
2.7%
652
 
2.1%
642
 
2.1%
638
 
2.1%
Other values (451) 19692
63.4%
Number Forms
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
CJK
ValueCountFrequency (%)
3
100.0%
None
ValueCountFrequency (%)
1
100.0%

rdnpostno
Text

MISSING 

Distinct957
Distinct (%)50.1%
Missing25
Missing (%)1.3%
Memory size15.2 KiB
2024-04-18T03:45:14.754239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.013089
Min length1

Characters and Unicode

Total characters9575
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

Unique636 ?
Unique (%)33.3%

Sample

1st row48947
2nd row48947
3rd row48947
4th row48947
5th row48947
ValueCountFrequency (%)
48947 195
 
10.2%
48060 16
 
0.8%
도로명우편번호 16
 
0.8%
10390 14
 
0.7%
57221 12
 
0.6%
35204 10
 
0.5%
22303 9
 
0.5%
16464 9
 
0.5%
59723 9
 
0.5%
17087 8
 
0.4%
Other values (947) 1612
84.4%
2024-04-18T03:45:15.139564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1308
13.7%
1 1271
13.3%
2 1012
10.6%
5 947
9.9%
0 914
9.5%
3 875
9.1%
8 817
8.5%
7 787
8.2%
9 774
8.1%
6 756
7.9%
Other values (8) 114
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9461
98.8%
Other Letter 112
 
1.2%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1308
13.8%
1 1271
13.4%
2 1012
10.7%
5 947
10.0%
0 914
9.7%
3 875
9.2%
8 817
8.6%
7 787
8.3%
9 774
8.2%
6 756
8.0%
Other Letter
ValueCountFrequency (%)
16
14.3%
16
14.3%
16
14.3%
16
14.3%
16
14.3%
16
14.3%
16
14.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9461
98.8%
Hangul 112
 
1.2%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1308
13.8%
1 1271
13.4%
2 1012
10.7%
5 947
10.0%
0 914
9.7%
3 875
9.2%
8 817
8.6%
7 787
8.3%
9 774
8.2%
6 756
8.0%
Hangul
ValueCountFrequency (%)
16
14.3%
16
14.3%
16
14.3%
16
14.3%
16
14.3%
16
14.3%
16
14.3%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9463
98.8%
Hangul 112
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1308
13.8%
1 1271
13.4%
2 1012
10.7%
5 947
10.0%
0 914
9.7%
3 875
9.2%
8 817
8.6%
7 787
8.3%
9 774
8.2%
6 756
8.0%
Hangul
ValueCountFrequency (%)
16
14.3%
16
14.3%
16
14.3%
16
14.3%
16
14.3%
16
14.3%
16
14.3%

rdnwhladdr
Text

MISSING 

Distinct1262
Distinct (%)67.2%
Missing56
Missing (%)2.9%
Memory size15.2 KiB
2024-04-18T03:45:15.378034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length52
Mean length32.897286
Min length5

Characters and Unicode

Total characters61814
Distinct characters576
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique958 ?
Unique (%)51.0%

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 445
 
3.6%
2층 201
 
1.6%
인천광역시 162
 
1.3%
서울특별시 161
 
1.3%
경상남도 153
 
1.2%
부산광역시 149
 
1.2%
3층 143
 
1.1%
경상북도 118
 
0.9%
4층 109
 
0.9%
전라남도 107
 
0.9%
Other values (3747) 10748
86.0%
2024-04-18T03:45:15.731161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10622
 
17.2%
1 1922
 
3.1%
1844
 
3.0%
1821
 
2.9%
, 1768
 
2.9%
1676
 
2.7%
2 1497
 
2.4%
1467
 
2.4%
( 1420
 
2.3%
) 1420
 
2.3%
Other values (566) 36357
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36258
58.7%
Space Separator 10622
 
17.2%
Decimal Number 9340
 
15.1%
Other Punctuation 1785
 
2.9%
Open Punctuation 1421
 
2.3%
Close Punctuation 1421
 
2.3%
Dash Punctuation 500
 
0.8%
Uppercase Letter 390
 
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 (%)
1844
 
5.1%
1821
 
5.0%
1676
 
4.6%
1467
 
4.0%
1095
 
3.0%
882
 
2.4%
848
 
2.3%
686
 
1.9%
648
 
1.8%
624
 
1.7%
Other values (509) 24667
68.0%
Uppercase Letter
ValueCountFrequency (%)
B 93
23.8%
C 53
13.6%
E 49
12.6%
A 42
10.8%
P 25
 
6.4%
G 18
 
4.6%
T 12
 
3.1%
L 12
 
3.1%
S 11
 
2.8%
H 10
 
2.6%
Other values (15) 65
16.7%
Decimal Number
ValueCountFrequency (%)
1 1922
20.6%
2 1497
16.0%
0 1174
12.6%
3 1049
11.2%
4 768
 
8.2%
5 767
 
8.2%
6 641
 
6.9%
7 574
 
6.1%
8 496
 
5.3%
9 452
 
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 (%)
, 1768
99.0%
. 9
 
0.5%
" 6
 
0.3%
& 1
 
0.1%
* 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1420
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1420
99.9%
] 1
 
0.1%
Letter Number
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Space Separator
ValueCountFrequency (%)
10622
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 500
100.0%
Math Symbol
ValueCountFrequency (%)
~ 55
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36256
58.7%
Common 25144
40.7%
Latin 411
 
0.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1844
 
5.1%
1821
 
5.0%
1676
 
4.6%
1467
 
4.0%
1095
 
3.0%
882
 
2.4%
848
 
2.3%
686
 
1.9%
648
 
1.8%
624
 
1.7%
Other values (509) 24665
68.0%
Latin
ValueCountFrequency (%)
B 93
22.6%
C 53
12.9%
E 49
11.9%
A 42
10.2%
P 25
 
6.1%
G 18
 
4.4%
T 12
 
2.9%
L 12
 
2.9%
S 11
 
2.7%
H 10
 
2.4%
Other values (24) 86
20.9%
Common
ValueCountFrequency (%)
10622
42.2%
1 1922
 
7.6%
, 1768
 
7.0%
2 1497
 
6.0%
( 1420
 
5.6%
) 1420
 
5.6%
0 1174
 
4.7%
3 1049
 
4.2%
4 768
 
3.1%
5 767
 
3.1%
Other values (12) 2737
 
10.9%
Han
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36255
58.7%
ASCII 25548
41.3%
Number Forms 7
 
< 0.1%
CJK 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10622
41.6%
1 1922
 
7.5%
, 1768
 
6.9%
2 1497
 
5.9%
( 1420
 
5.6%
) 1420
 
5.6%
0 1174
 
4.6%
3 1049
 
4.1%
4 768
 
3.0%
5 767
 
3.0%
Other values (44) 3141
 
12.3%
Hangul
ValueCountFrequency (%)
1844
 
5.1%
1821
 
5.0%
1676
 
4.6%
1467
 
4.0%
1095
 
3.0%
882
 
2.4%
848
 
2.3%
686
 
1.9%
648
 
1.8%
624
 
1.7%
Other values (508) 24664
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)

Distinct465
Distinct (%)24.1%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean20190047
Minimum19880528
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.1 KiB
2024-04-18T03:45:15.842016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19880528
5-th percentile20181066
Q120190312
median20190724
Q320200131
95-th percentile20201021
Maximum20201231
Range320703
Interquartile range (IQR)9818.5

Descriptive statistics

Standard deviation21772.974
Coefficient of variation (CV)0.0010784014
Kurtosis125.64113
Mean20190047
Median Absolute Deviation (MAD)509
Skewness-10.35997
Sum3.898698 × 1010
Variance4.7406241 × 108
MonotonicityNot monotonic
2024-04-18T03:45:16.150854image/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
 
1.2%
20190705 24
 
1.2%
20190426 21
 
1.1%
20190517 19
 
1.0%
20190712 18
 
0.9%
Other values (455) 1679
86.8%
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 (%)
20201231 2
 
0.1%
20201230 1
 
0.1%
20201229 1
 
0.1%
20201228 5
0.3%
20201224 2
 
0.1%
20201223 2
 
0.1%
20201222 1
 
0.1%
20201221 3
0.2%
20201218 2
 
0.1%
20201210 1
 
0.1%

dcbymd
Text

MISSING 

Distinct127
Distinct (%)19.9%
Missing1296
Missing (%)67.0%
Memory size15.2 KiB
2024-04-18T03:45:16.373614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length5.8090767
Min length4

Characters and Unicode

Total characters3712
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

Unique59 ?
Unique (%)9.2%

Sample

1st row20190531
2nd row20190531
3rd row20190531
4th row20201111
5th row20181029
ValueCountFrequency (%)
폐업일자 350
54.8%
20200301 10
 
1.6%
20190825 10
 
1.6%
20190527 7
 
1.1%
20190826 6
 
0.9%
20190805 6
 
0.9%
20190818 6
 
0.9%
20181029 6
 
0.9%
20190225 5
 
0.8%
20190819 5
 
0.8%
Other values (117) 228
35.7%
2024-04-18T03:45:16.735756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 791
21.3%
2 606
16.3%
1 375
10.1%
350
9.4%
350
9.4%
350
9.4%
350
9.4%
9 201
 
5.4%
8 101
 
2.7%
3 74
 
2.0%
Other values (4) 164
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2312
62.3%
Other Letter 1400
37.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 791
34.2%
2 606
26.2%
1 375
16.2%
9 201
 
8.7%
8 101
 
4.4%
3 74
 
3.2%
5 72
 
3.1%
7 31
 
1.3%
4 31
 
1.3%
6 30
 
1.3%
Other Letter
ValueCountFrequency (%)
350
25.0%
350
25.0%
350
25.0%
350
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2312
62.3%
Hangul 1400
37.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 791
34.2%
2 606
26.2%
1 375
16.2%
9 201
 
8.7%
8 101
 
4.4%
3 74
 
3.2%
5 72
 
3.1%
7 31
 
1.3%
4 31
 
1.3%
6 30
 
1.3%
Hangul
ValueCountFrequency (%)
350
25.0%
350
25.0%
350
25.0%
350
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2312
62.3%
Hangul 1400
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 791
34.2%
2 606
26.2%
1 375
16.2%
9 201
 
8.7%
8 101
 
4.4%
3 74
 
3.2%
5 72
 
3.1%
7 31
 
1.3%
4 31
 
1.3%
6 30
 
1.3%
Hangul
ValueCountFrequency (%)
350
25.0%
350
25.0%
350
25.0%
350
25.0%

clgstdt
Categorical

IMBALANCE 

Distinct32
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1537 
휴업시작일자
357 
20200901
 
4
20201026
 
3
20200824
 
3
Other values (27)
 
31

Length

Max length8
Median length4
Mean length4.4501292
Min length3

Unique

Unique24 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1537
79.4%
휴업시작일자 357
 
18.4%
20200901 4
 
0.2%
20201026 3
 
0.2%
20200824 3
 
0.2%
20201126 3
 
0.2%
20201127 2
 
0.1%
20201012 2
 
0.1%
20190621 1
 
0.1%
20201109 1
 
0.1%
Other values (22) 22
 
1.1%

Length

2024-04-18T03:45:16.884354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1537
79.4%
휴업시작일자 357
 
18.4%
20200901 4
 
0.2%
20201026 3
 
0.2%
20200824 3
 
0.2%
20201126 3
 
0.2%
20201127 2
 
0.1%
20201012 2
 
0.1%
20201101 1
 
0.1%
646 1
 
0.1%
Other values (22) 22
 
1.1%

clgenddt
Categorical

IMBALANCE 

Distinct24
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1542 
휴업종료일자
357 
20201231
 
4
20210420
 
4
20210531
 
3
Other values (19)
 
25

Length

Max length8
Median length4
Mean length4.4434109
Min length4

Unique

Unique15 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1542
79.7%
휴업종료일자 357
 
18.4%
20201231 4
 
0.2%
20210420 4
 
0.2%
20210531 3
 
0.2%
20210720 3
 
0.2%
20210430 3
 
0.2%
20201217 2
 
0.1%
20210131 2
 
0.1%
20200620 1
 
0.1%
Other values (14) 14
 
0.7%

Length

2024-04-18T03:45:17.004427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1542
79.7%
휴업종료일자 357
 
18.4%
20201231 4
 
0.2%
20210420 4
 
0.2%
20210531 3
 
0.2%
20210720 3
 
0.2%
20210430 3
 
0.2%
20201217 2
 
0.1%
20210131 2
 
0.1%
20201126 1
 
0.1%
Other values (14) 14
 
0.7%

ropnymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
재개업일자
359 

Length

Max length5
Median length4
Mean length4.1855297
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> 1576
81.4%
재개업일자 359
 
18.6%

Length

2024-04-18T03:45:17.143146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:17.239109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
재개업일자 359
 
18.6%

trdstatenm
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
영업/정상
1523 
폐업
310 
휴업
 
42
1
 
20
<NA>
 
18
Other values (4)
 
22

Length

Max length14
Median length5
Mean length4.4284238
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1523
78.7%
폐업 310
 
16.0%
휴업 42
 
2.2%
1 20
 
1.0%
<NA> 18
 
0.9%
제외/삭제/전출 10
 
0.5%
기타 5
 
0.3%
취소/말소/만료/정지/중지 4
 
0.2%
영업상태 3
 
0.2%

Length

2024-04-18T03:45:17.342993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:17.446115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1523
78.7%
폐업 310
 
16.0%
휴업 42
 
2.2%
1 20
 
1.0%
na 18
 
0.9%
제외/삭제/전출 10
 
0.5%
기타 5
 
0.3%
취소/말소/만료/정지/중지 4
 
0.2%
영업상태 3
 
0.2%

dtlstatenm
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
영업중
1400 
폐업
310 
영업
153 
휴업
 
42
전출
 
10
Other values (5)
 
20

Length

Max length7
Median length3
Mean length2.7509044
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 1400
72.4%
폐업 310
 
16.0%
영업 153
 
7.9%
휴업 42
 
2.2%
전출 10
 
0.5%
<NA> 10
 
0.5%
조건이행완료 5
 
0.3%
직권말소 3
 
0.2%
허가취소 1
 
0.1%
상세영업상태명 1
 
0.1%

Length

2024-04-18T03:45:17.559485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:17.694686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 1400
72.4%
폐업 310
 
16.0%
영업 153
 
7.9%
휴업 42
 
2.2%
전출 10
 
0.5%
na 10
 
0.5%
조건이행완료 5
 
0.3%
직권말소 3
 
0.2%
허가취소 1
 
0.1%
상세영업상태명 1
 
0.1%

x
Text

MISSING 

Distinct1131
Distinct (%)61.4%
Missing94
Missing (%)4.9%
Memory size15.2 KiB
2024-04-18T03:45:17.887797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.788159
Min length7

Characters and Unicode

Total characters36430
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

Unique817 ?
Unique (%)44.4%

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%
177158.311187542 10
 
0.5%
234729.708066 10
 
0.5%
201131.707177722 9
 
0.5%
387608.014165034 8
 
0.4%
345549.11017 8
 
0.4%
382883.341064998 7
 
0.4%
209807.530866 7
 
0.4%
Other values (1121) 1724
93.6%
2024-04-18T03:45:18.192225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9366
25.7%
1 2940
 
8.1%
2 2843
 
7.8%
3 2632
 
7.2%
7 2548
 
7.0%
0 2513
 
6.9%
8 2409
 
6.6%
4 2390
 
6.6%
6 2286
 
6.3%
9 2265
 
6.2%
Other values (9) 4238
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25082
68.8%
Space Separator 9366
 
25.7%
Other Punctuation 1772
 
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 2940
11.7%
2 2843
11.3%
3 2632
10.5%
7 2548
10.2%
0 2513
10.0%
8 2409
9.6%
4 2390
9.5%
6 2286
9.1%
9 2265
9.0%
5 2256
9.0%
Other Letter
ValueCountFrequency (%)
30
25.0%
30
25.0%
30
25.0%
30
25.0%
Space Separator
ValueCountFrequency (%)
9366
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1772
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 36280
99.6%
Hangul 120
 
0.3%
Latin 30
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9366
25.8%
1 2940
 
8.1%
2 2843
 
7.8%
3 2632
 
7.3%
7 2548
 
7.0%
0 2513
 
6.9%
8 2409
 
6.6%
4 2390
 
6.6%
6 2286
 
6.3%
9 2265
 
6.2%
Other values (4) 4088
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 36310
99.7%
Hangul 120
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9366
25.8%
1 2940
 
8.1%
2 2843
 
7.8%
3 2632
 
7.2%
7 2548
 
7.0%
0 2513
 
6.9%
8 2409
 
6.6%
4 2390
 
6.6%
6 2286
 
6.3%
9 2265
 
6.2%
Other values (5) 4118
11.3%
Hangul
ValueCountFrequency (%)
30
25.0%
30
25.0%
30
25.0%
30
25.0%

y
Text

MISSING 

Distinct1132
Distinct (%)61.4%
Missing92
Missing (%)4.8%
Memory size15.2 KiB
2024-04-18T03:45:18.411358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.787303
Min length7

Characters and Unicode

Total characters36468
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

Unique817 ?
Unique (%)44.3%

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 9
 
0.5%
185703.079007724 8
 
0.4%
268620.845678 8
 
0.4%
204962.55596119 7
 
0.4%
246669.480457 7
 
0.4%
Other values (1123) 1728
93.7%
2024-04-18T03:45:18.715006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9335
25.6%
4 3155
 
8.7%
2 2755
 
7.6%
1 2679
 
7.3%
3 2539
 
7.0%
5 2435
 
6.7%
0 2390
 
6.6%
8 2358
 
6.5%
9 2310
 
6.3%
7 2287
 
6.3%
Other values (11) 4225
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25106
68.8%
Space Separator 9335
 
25.6%
Other Punctuation 1776
 
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 3155
12.6%
2 2755
11.0%
1 2679
10.7%
3 2539
10.1%
5 2435
9.7%
0 2390
9.5%
8 2358
9.4%
9 2310
9.2%
7 2287
9.1%
6 2198
8.8%
Other Letter
ValueCountFrequency (%)
30
25.0%
30
25.0%
30
25.0%
30
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1772
99.8%
: 4
 
0.2%
Space Separator
ValueCountFrequency (%)
9335
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 36318
99.6%
Hangul 120
 
0.3%
Latin 30
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9335
25.7%
4 3155
 
8.7%
2 2755
 
7.6%
1 2679
 
7.4%
3 2539
 
7.0%
5 2435
 
6.7%
0 2390
 
6.6%
8 2358
 
6.5%
9 2310
 
6.4%
7 2287
 
6.3%
Other values (6) 4075
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 36348
99.7%
Hangul 120
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9335
25.7%
4 3155
 
8.7%
2 2755
 
7.6%
1 2679
 
7.4%
3 2539
 
7.0%
5 2435
 
6.7%
0 2390
 
6.6%
8 2358
 
6.5%
9 2310
 
6.4%
7 2287
 
6.3%
Other values (7) 4105
11.3%
Hangul
ValueCountFrequency (%)
30
25.0%
30
25.0%
30
25.0%
30
25.0%

lastmodts
Real number (ℝ)

Distinct1363
Distinct (%)70.6%
Missing4
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2.0195369 × 1013
Minimum2.0111031 × 1013
Maximum2.0210102 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.1 KiB
2024-04-18T03:45:18.842190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0111031 × 1013
5-th percentile2.0181214 × 1013
Q12.0190708 × 1013
median2.0200205 × 1013
Q32.0200825 × 1013
95-th percentile2.0201214 × 1013
Maximum2.0210102 × 1013
Range9.9071017 × 1010
Interquartile range (IQR)1.0117019 × 1010

Descriptive statistics

Standard deviation7.1684521 × 109
Coefficient of variation (CV)0.00035495524
Kurtosis34.156973
Mean2.0195369 × 1013
Median Absolute Deviation (MAD)1.0130085 × 109
Skewness-3.4698606
Sum3.8997258 × 1016
Variance5.1386705 × 1019
MonotonicityNot monotonic
2024-04-18T03:45:18.950986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200629141054 4
 
0.2%
20200806152510 4
 
0.2%
20190507184651 3
 
0.2%
20200327133003 3
 
0.2%
20201125105303 3
 
0.2%
20201125105514 3
 
0.2%
20200805135918 3
 
0.2%
20190426145910 3
 
0.2%
20200915162250 3
 
0.2%
20190426164259 3
 
0.2%
Other values (1353) 1899
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 (%)
20210102102611 3
0.2%
20210102101855 1
 
0.1%
20201231173948 1
 
0.1%
20201231173928 3
0.2%
20201231170448 1
 
0.1%
20201231145236 1
 
0.1%
20201231135356 2
0.1%
20201231090519 1
 
0.1%
20201230135415 1
 
0.1%
20201230124954 1
 
0.1%

uptaenm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
업태구분명
359 

Length

Max length5
Median length4
Mean length4.1855297
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> 1576
81.4%
업태구분명 359
 
18.6%

Length

2024-04-18T03:45:19.075615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:19.180486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
업태구분명 359
 
18.6%

sitetel
Text

MISSING 

Distinct138
Distinct (%)7.8%
Missing166
Missing (%)8.6%
Memory size15.2 KiB
2024-04-18T03:45:19.436571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length11.77671
Min length4

Characters and Unicode

Total characters20833
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

Unique101 ?
Unique (%)5.7%

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 1526
86.3%
전화번호 46
 
2.6%
031-245-5100 5
 
0.3%
063-561-3698 3
 
0.2%
07040660429,29741983 3
 
0.2%
07040251516 3
 
0.2%
052-204-2934 3
 
0.2%
02-554-0150 3
 
0.2%
051-292-1092 3
 
0.2%
042-364-0088 3
 
0.2%
Other values (128) 171
 
9.7%
2024-04-18T03:45:19.821163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4750
22.8%
- 3390
16.3%
2 3306
15.9%
3 3270
15.7%
0 1927
9.2%
5 1730
 
8.3%
4 1715
 
8.2%
6 192
 
0.9%
8 141
 
0.7%
7 125
 
0.6%
Other values (6) 287
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17256
82.8%
Dash Punctuation 3390
 
16.3%
Other Letter 184
 
0.9%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4750
27.5%
2 3306
19.2%
3 3270
18.9%
0 1927
11.2%
5 1730
 
10.0%
4 1715
 
9.9%
6 192
 
1.1%
8 141
 
0.8%
7 125
 
0.7%
9 100
 
0.6%
Other Letter
ValueCountFrequency (%)
46
25.0%
46
25.0%
46
25.0%
46
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 3390
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20649
99.1%
Hangul 184
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4750
23.0%
- 3390
16.4%
2 3306
16.0%
3 3270
15.8%
0 1927
9.3%
5 1730
 
8.4%
4 1715
 
8.3%
6 192
 
0.9%
8 141
 
0.7%
7 125
 
0.6%
Other values (2) 103
 
0.5%
Hangul
ValueCountFrequency (%)
46
25.0%
46
25.0%
46
25.0%
46
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20649
99.1%
Hangul 184
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4750
23.0%
- 3390
16.4%
2 3306
16.0%
3 3270
15.8%
0 1927
9.3%
5 1730
 
8.4%
4 1715
 
8.3%
6 192
 
0.9%
8 141
 
0.7%
7 125
 
0.6%
Other values (2) 103
 
0.5%
Hangul
ValueCountFrequency (%)
46
25.0%
46
25.0%
46
25.0%
46
25.0%

openymd
Text

MISSING 

Distinct85
Distinct (%)20.1%
Missing1512
Missing (%)78.1%
Memory size15.2 KiB
2024-04-18T03:45:20.047642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.9739953
Min length4

Characters and Unicode

Total characters2104
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

Unique73 ?
Unique (%)17.3%

Sample

1st row19780711
2nd row20150325
3rd row20060525
4th row20030323
5th row20090123
ValueCountFrequency (%)
개관일자 320
75.7%
20181012 4
 
0.9%
20200410 3
 
0.7%
20191220 3
 
0.7%
20190802 3
 
0.7%
20181022 3
 
0.7%
20171026 3
 
0.7%
20150716 3
 
0.7%
20201204 2
 
0.5%
20141001 2
 
0.5%
Other values (75) 77
 
18.2%
2024-04-18T03:45:20.430186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
320
15.2%
320
15.2%
320
15.2%
320
15.2%
0 257
12.2%
2 183
8.7%
1 174
8.3%
9 50
 
2.4%
6 33
 
1.6%
8 31
 
1.5%
Other values (4) 96
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1280
60.8%
Decimal Number 824
39.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 257
31.2%
2 183
22.2%
1 174
21.1%
9 50
 
6.1%
6 33
 
4.0%
8 31
 
3.8%
7 25
 
3.0%
5 24
 
2.9%
3 24
 
2.9%
4 23
 
2.8%
Other Letter
ValueCountFrequency (%)
320
25.0%
320
25.0%
320
25.0%
320
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1280
60.8%
Common 824
39.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 257
31.2%
2 183
22.2%
1 174
21.1%
9 50
 
6.1%
6 33
 
4.0%
8 31
 
3.8%
7 25
 
3.0%
5 24
 
2.9%
3 24
 
2.9%
4 23
 
2.8%
Hangul
ValueCountFrequency (%)
320
25.0%
320
25.0%
320
25.0%
320
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1280
60.8%
ASCII 824
39.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
320
25.0%
320
25.0%
320
25.0%
320
25.0%
ASCII
ValueCountFrequency (%)
0 257
31.2%
2 183
22.2%
1 174
21.1%
9 50
 
6.1%
6 33
 
4.0%
8 31
 
3.8%
7 25
 
3.0%
5 24
 
2.9%
3 24
 
2.9%
4 23
 
2.8%

stroomcnt
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
객실수
359 

Length

Max length4
Median length4
Mean length3.8144703
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> 1576
81.4%
객실수 359
 
18.6%

Length

2024-04-18T03:45:20.539740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:20.617760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
객실수 359
 
18.6%

bdngsrvnm
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1456 
건물용도명
334 
근린생활시설
 
82
문화시설
 
21
기타
 
19
Other values (4)
 
23

Length

Max length6
Median length4
Mean length4.2413437
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> 1456
75.2%
건물용도명 334
 
17.3%
근린생활시설 82
 
4.2%
문화시설 21
 
1.1%
기타 19
 
1.0%
체육시설 12
 
0.6%
숙박시설 6
 
0.3%
교육연구시설 4
 
0.2%
사무실 1
 
0.1%

Length

2024-04-18T03:45:20.723510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:20.822037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1456
75.2%
건물용도명 334
 
17.3%
근린생활시설 82
 
4.2%
문화시설 21
 
1.1%
기타 19
 
1.0%
체육시설 12
 
0.6%
숙박시설 6
 
0.3%
교육연구시설 4
 
0.2%
사무실 1
 
0.1%

cnstyarea
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1575 
건축연면적
359 
3499
 
1

Length

Max length5
Median length4
Mean length4.1855297
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> 1575
81.4%
건축연면적 359
 
18.6%
3499 1
 
0.1%

Length

2024-04-18T03:45:20.922434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:21.000423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1575
81.4%
건축연면적 359
 
18.6%
3499 1
 
0.1%

svnsr
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
기념품종류
359 

Length

Max length5
Median length4
Mean length4.1855297
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> 1576
81.4%
기념품종류 359
 
18.6%

Length

2024-04-18T03:45:21.083025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:21.157422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
기념품종류 359
 
18.6%

plninsurstdt
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1575 
기획여행보험시작일자
359 
20180831
 
1

Length

Max length10
Median length4
Mean length5.1152455
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> 1575
81.4%
기획여행보험시작일자 359
 
18.6%
20180831 1
 
0.1%

Length

2024-04-18T03:45:21.240419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:21.326059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1575
81.4%
기획여행보험시작일자 359
 
18.6%
20180831 1
 
0.1%

plninsurenddt
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1575 
기획여행보험종료일자
359 
20190831
 
1

Length

Max length10
Median length4
Mean length5.1152455
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> 1575
81.4%
기획여행보험종료일자 359
 
18.6%
20190831 1
 
0.1%

Length

2024-04-18T03:45:21.409944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:21.493279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1575
81.4%
기획여행보험종료일자 359
 
18.6%
20190831 1
 
0.1%

playutscntdtl
Text

MISSING 

Distinct222
Distinct (%)32.4%
Missing1249
Missing (%)64.5%
Memory size15.2 KiB
2024-04-18T03:45:21.760775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length7
Mean length14.927114
Min length2

Characters and Unicode

Total characters10240
Distinct characters308
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)22.0%

Sample

1st row붕붕뜀틀 3대
2nd row미니바이킹 1대
3rd row미니바이킹 1대
4th row미니바이킹 1대
5th row놀이기구수내역
ValueCountFrequency (%)
놀이기구수내역 328
 
18.5%
1대 78
 
4.4%
1종 68
 
3.8%
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) 1046
59.1%
2024-04-18T03:45:22.190866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1123
 
11.0%
496
 
4.8%
496
 
4.8%
1 421
 
4.1%
393
 
3.8%
383
 
3.7%
355
 
3.5%
355
 
3.5%
336
 
3.3%
328
 
3.2%
Other values (298) 5554
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6881
67.2%
Decimal Number 1306
 
12.8%
Space Separator 1123
 
11.0%
Other Punctuation 431
 
4.2%
Close Punctuation 162
 
1.6%
Open Punctuation 162
 
1.6%
Dash Punctuation 62
 
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 (%)
496
 
7.2%
496
 
7.2%
393
 
5.7%
383
 
5.6%
355
 
5.2%
355
 
5.2%
336
 
4.9%
328
 
4.8%
249
 
3.6%
184
 
2.7%
Other values (248) 3306
48.0%
Lowercase Letter
ValueCountFrequency (%)
r 8
13.1%
o 8
13.1%
a 6
9.8%
m 6
9.8%
e 5
8.2%
v 5
8.2%
c 5
8.2%
n 5
8.2%
h 3
 
4.9%
s 3
 
4.9%
Other values (6) 7
11.5%
Decimal Number
ValueCountFrequency (%)
1 421
32.2%
2 259
19.8%
0 163
 
12.5%
3 109
 
8.3%
4 75
 
5.7%
5 66
 
5.1%
6 57
 
4.4%
8 54
 
4.1%
9 53
 
4.1%
7 49
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
R 7
21.9%
V 7
21.9%
F 4
12.5%
I 3
9.4%
S 3
9.4%
X 3
9.4%
M 3
9.4%
U 1
 
3.1%
O 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 252
58.5%
. 100
 
23.2%
: 47
 
10.9%
/ 27
 
6.3%
@ 5
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 160
98.8%
] 2
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 160
98.8%
[ 2
 
1.2%
Other Symbol
ValueCountFrequency (%)
15
83.3%
3
 
16.7%
Space Separator
ValueCountFrequency (%)
1123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6881
67.2%
Common 3266
31.9%
Latin 93
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
496
 
7.2%
496
 
7.2%
393
 
5.7%
383
 
5.6%
355
 
5.2%
355
 
5.2%
336
 
4.9%
328
 
4.8%
249
 
3.6%
184
 
2.7%
Other values (248) 3306
48.0%
Common
ValueCountFrequency (%)
1123
34.4%
1 421
 
12.9%
2 259
 
7.9%
, 252
 
7.7%
0 163
 
5.0%
) 160
 
4.9%
( 160
 
4.9%
3 109
 
3.3%
. 100
 
3.1%
4 75
 
2.3%
Other values (15) 444
 
13.6%
Latin
ValueCountFrequency (%)
r 8
 
8.6%
o 8
 
8.6%
R 7
 
7.5%
V 7
 
7.5%
a 6
 
6.5%
m 6
 
6.5%
e 5
 
5.4%
v 5
 
5.4%
c 5
 
5.4%
n 5
 
5.4%
Other values (15) 31
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6881
67.2%
ASCII 3341
32.6%
CJK Compat 15
 
0.1%
Misc Symbols 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1123
33.6%
1 421
 
12.6%
2 259
 
7.8%
, 252
 
7.5%
0 163
 
4.9%
) 160
 
4.8%
( 160
 
4.8%
3 109
 
3.3%
. 100
 
3.0%
4 75
 
2.2%
Other values (38) 519
15.5%
Hangul
ValueCountFrequency (%)
496
 
7.2%
496
 
7.2%
393
 
5.7%
383
 
5.6%
355
 
5.2%
355
 
5.2%
336
 
4.9%
328
 
4.8%
249
 
3.6%
184
 
2.7%
Other values (248) 3306
48.0%
CJK Compat
ValueCountFrequency (%)
15
100.0%
Misc Symbols
ValueCountFrequency (%)
3
100.0%

playfacilcnt
Categorical

IMBALANCE 

Distinct20
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1135 
1
263 
놀이시설수
251 
2
118 
3
 
44
Other values (15)
124 

Length

Max length5
Median length4
Mean length3.2878553
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> 1135
58.7%
1 263
 
13.6%
놀이시설수 251
 
13.0%
2 118
 
6.1%
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) 25
 
1.3%

Length

2024-04-18T03:45:22.307748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1135
58.7%
1 263
 
13.6%
놀이시설수 251
 
13.0%
2 118
 
6.1%
3 44
 
2.3%
5 42
 
2.2%
4 37
 
1.9%
0 9
 
0.5%
8 6
 
0.3%
6 5
 
0.3%
Other values (10) 25
 
1.3%

stagear
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
무대면적
359 

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> 1576
81.4%
무대면적 359
 
18.6%

Length

2024-04-18T03:45:22.410546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:22.511159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
무대면적 359
 
18.6%

culwrkrsenm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
문화사업자구분명
359 

Length

Max length8
Median length4
Mean length4.7421189
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> 1576
81.4%
문화사업자구분명 359
 
18.6%

Length

2024-04-18T03:45:22.640378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:22.772202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
문화사업자구분명 359
 
18.6%

culphyedcobnm
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
신고유원시설업
1467 
허가유원시설업
244 
박물관
 
68
여행업
 
44
미술관
 
35
Other values (8)
 
77

Length

Max length8
Median length7
Mean length6.6527132
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고유원시설업 1467
75.8%
허가유원시설업 244
 
12.6%
박물관 68
 
3.5%
여행업 44
 
2.3%
미술관 35
 
1.8%
전문휴양업 17
 
0.9%
<NA> 17
 
0.9%
관광순환버스업 13
 
0.7%
문화체육업종명 10
 
0.5%
관광객이용시설업 6
 
0.3%
Other values (3) 14
 
0.7%

Length

2024-04-18T03:45:22.896161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신고유원시설업 1467
75.8%
허가유원시설업 244
 
12.6%
박물관 68
 
3.5%
여행업 44
 
2.3%
미술관 35
 
1.8%
전문휴양업 17
 
0.9%
na 17
 
0.9%
관광순환버스업 13
 
0.7%
문화체육업종명 10
 
0.5%
관광객이용시설업 6
 
0.3%
Other values (3) 14
 
0.7%

museumkindnm
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1514 
박물관미술관유형명
320 
전문박물관
 
48
미술관
 
32
종합박물관
 
9
Other values (6)
 
12

Length

Max length9
Median length4
Mean length4.8341085
Min length3

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1514
78.2%
박물관미술관유형명 320
 
16.5%
전문박물관 48
 
2.5%
미술관 32
 
1.7%
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

2024-04-18T03:45:23.020988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1514
78.2%
박물관미술관유형명 320
 
16.5%
전문박물관 48
 
2.5%
미술관 32
 
1.7%
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 size15.2 KiB
<NA>
1512 
박물관미술관종류명
320 
1종
 
90
2종
 
13

Length

Max length9
Median length4
Mean length4.7204134
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1512
78.1%
박물관미술관종류명 320
 
16.5%
1종 90
 
4.7%
2종 13
 
0.7%

Length

2024-04-18T03:45:23.122655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:23.206331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1512
78.1%
박물관미술관종류명 320
 
16.5%
1종 90
 
4.7%
2종 13
 
0.7%

geicpfacilen
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1496 
350 
Y
 
89

Length

Max length4
Median length4
Mean length3.3193798
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> 1496
77.3%
350
 
18.1%
Y 89
 
4.6%

Length

2024-04-18T03:45:23.320687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:23.414645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1496
77.3%
350
 
18.1%
y 89
 
4.6%

bcfacilen
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1430 
346 
Y
159 

Length

Max length4
Median length4
Mean length3.2170543
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> 1430
73.9%
346
 
17.9%
Y 159
 
8.2%

Length

2024-04-18T03:45:23.514846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:23.595085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1430
73.9%
346
 
17.9%
y 159
 
8.2%

bupnm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
법인명
359 

Length

Max length4
Median length4
Mean length3.8144703
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> 1576
81.4%
법인명 359
 
18.6%

Length

2024-04-18T03:45:23.679863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:23.755948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
법인명 359
 
18.6%

bupesbmntobj
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
법인설립목적
359 

Length

Max length6
Median length4
Mean length4.3710594
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> 1576
81.4%
법인설립목적 359
 
18.6%

Length

2024-04-18T03:45:23.840750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:24.164275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
법인설립목적 359
 
18.6%

bupdisorgymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
법인해산일자
359 

Length

Max length6
Median length4
Mean length4.3710594
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> 1576
81.4%
법인해산일자 359
 
18.6%

Length

2024-04-18T03:45:24.250265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:24.334511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
법인해산일자 359
 
18.6%

insurorgnm
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1566 
보험기관명
358 
서울보증보험주식회사
 
7
서울보증보험
 
3
한국관광협회중앙회
 
1

Length

Max length10
Median length4
Mean length4.2124031
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> 1566
80.9%
보험기관명 358
 
18.5%
서울보증보험주식회사 7
 
0.4%
서울보증보험 3
 
0.2%
한국관광협회중앙회 1
 
0.1%

Length

2024-04-18T03:45:24.416558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:24.506994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1566
80.9%
보험기관명 358
 
18.5%
서울보증보험주식회사 7
 
0.4%
서울보증보험 3
 
0.2%
한국관광협회중앙회 1
 
0.1%

insurstdt
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1565 
보험시작일자
358 
20200207
 
6
20190405
 
3
20190607
 
2

Length

Max length8
Median length4
Mean length4.394832
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> 1565
80.9%
보험시작일자 358
 
18.5%
20200207 6
 
0.3%
20190405 3
 
0.2%
20190607 2
 
0.1%
20181115 1
 
0.1%

Length

2024-04-18T03:45:24.601346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:24.691512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1565
80.9%
보험시작일자 358
 
18.5%
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 size15.2 KiB
<NA>
1565 
보험종료일자
358 
20210206
 
6
20200404
 
3
20200606
 
2

Length

Max length8
Median length4
Mean length4.394832
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> 1565
80.9%
보험종료일자 358
 
18.5%
20210206 6
 
0.3%
20200404 3
 
0.2%
20200606 2
 
0.1%
20191114 1
 
0.1%

Length

2024-04-18T03:45:24.788637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:24.879276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1565
80.9%
보험종료일자 358
 
18.5%
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 size15.2 KiB
<NA>
1567 
부대시설내역
358 
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 length4.5121447
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> 1567
81.0%
부대시설내역 358
 
18.5%
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

2024-04-18T03:45:24.996665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:25.118793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1567
79.7%
부대시설내역 358
 
18.2%
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 size15.2 KiB
<NA>
1576 
선박제원
359 

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> 1576
81.4%
선박제원 359
 
18.6%

Length

2024-04-18T03:45:25.218677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:25.294213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
선박제원 359
 
18.6%

shpcnt
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
선박척수
359 

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> 1576
81.4%
선박척수 359
 
18.6%

Length

2024-04-18T03:45:25.372312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:25.453819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
선박척수 359
 
18.6%

shptottons
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
선박총톤수
359 

Length

Max length5
Median length4
Mean length4.1855297
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> 1576
81.4%
선박총톤수 359
 
18.6%

Length

2024-04-18T03:45:25.549816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:25.625506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
선박총톤수 359
 
18.6%

mngmbdnm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1512 
설립_운영주체구분명
320 
사립
 
51
공립
 
41
대학
 
8

Length

Max length10
Median length4
Mean length4.8857881
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1512
78.1%
설립_운영주체구분명 320
 
16.5%
사립 51
 
2.6%
공립 41
 
2.1%
대학 8
 
0.4%
국립 3
 
0.2%

Length

2024-04-18T03:45:25.717882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:25.809300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1512
78.1%
설립_운영주체구분명 320
 
16.5%
사립 51
 
2.6%
공립 41
 
2.1%
대학 8
 
0.4%
국립 3
 
0.2%

ndloan
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1573 
소요자금
359 
0
 
3

Length

Max length4
Median length4
Mean length3.9953488
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> 1573
81.3%
소요자금 359
 
18.6%
0 3
 
0.2%

Length

2024-04-18T03:45:25.901186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:25.980050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1573
81.3%
소요자금 359
 
18.6%
0 3
 
0.2%

monknum
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
승려수
359 

Length

Max length4
Median length4
Mean length3.8144703
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> 1576
81.4%
승려수 359
 
18.6%

Length

2024-04-18T03:45:26.067107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:26.161120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
승려수 359
 
18.6%

facilscp
Text

MISSING 

Distinct181
Distinct (%)28.6%
Missing1302
Missing (%)67.3%
Memory size15.2 KiB
2024-04-18T03:45:26.441121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.6097946
Min length1

Characters and Unicode

Total characters2285
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

Unique112 ?
Unique (%)17.7%

Sample

1st row32
2nd row32
3rd row32
4th row46
5th row시설규모
ValueCountFrequency (%)
시설규모 329
52.0%
234 6
 
0.9%
164 6
 
0.9%
500 4
 
0.6%
76 4
 
0.6%
7719 4
 
0.6%
474 4
 
0.6%
18434 3
 
0.5%
1772 3
 
0.5%
2580 3
 
0.5%
Other values (171) 267
42.2%
2024-04-18T03:45:26.830404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
329
14.4%
329
14.4%
329
14.4%
329
14.4%
2 136
6.0%
1 132
5.8%
4 132
5.8%
3 128
 
5.6%
7 87
 
3.8%
8 85
 
3.7%
Other values (4) 269
11.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1316
57.6%
Decimal Number 969
42.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 136
14.0%
1 132
13.6%
4 132
13.6%
3 128
13.2%
7 87
9.0%
8 85
8.8%
6 77
7.9%
0 71
7.3%
9 61
6.3%
5 60
6.2%
Other Letter
ValueCountFrequency (%)
329
25.0%
329
25.0%
329
25.0%
329
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1316
57.6%
Common 969
42.4%

Most frequent character per script

Common
ValueCountFrequency (%)
2 136
14.0%
1 132
13.6%
4 132
13.6%
3 128
13.2%
7 87
9.0%
8 85
8.8%
6 77
7.9%
0 71
7.3%
9 61
6.3%
5 60
6.2%
Hangul
ValueCountFrequency (%)
329
25.0%
329
25.0%
329
25.0%
329
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1316
57.6%
ASCII 969
42.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
329
25.0%
329
25.0%
329
25.0%
329
25.0%
ASCII
ValueCountFrequency (%)
2 136
14.0%
1 132
13.6%
4 132
13.6%
3 128
13.2%
7 87
9.0%
8 85
8.8%
6 77
7.9%
0 71
7.3%
9 61
6.3%
5 60
6.2%

facilar
Text

MISSING 

Distinct201
Distinct (%)31.8%
Missing1302
Missing (%)67.3%
Memory size15.2 KiB
2024-04-18T03:45:27.149469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.4265403
Min length2

Characters and Unicode

Total characters2802
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

Unique145 ?
Unique (%)22.9%

Sample

1st row31.5
2nd row31.5
3rd row31.5
4th row46.1
5th row시설면적
ValueCountFrequency (%)
시설면적 329
52.0%
7719 4
 
0.6%
500 4
 
0.6%
864.45 3
 
0.5%
60 3
 
0.5%
860 3
 
0.5%
1772.2 3
 
0.5%
10611 3
 
0.5%
497 3
 
0.5%
348 3
 
0.5%
Other values (191) 275
43.4%
2024-04-18T03:45:27.564321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
329
11.7%
329
11.7%
329
11.7%
329
11.7%
. 193
 
6.9%
3 173
 
6.2%
1 169
 
6.0%
4 159
 
5.7%
2 157
 
5.6%
8 132
 
4.7%
Other values (5) 503
18.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1316
47.0%
Decimal Number 1293
46.1%
Other Punctuation 193
 
6.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 173
13.4%
1 169
13.1%
4 159
12.3%
2 157
12.1%
8 132
10.2%
7 116
9.0%
6 112
8.7%
5 109
8.4%
0 85
6.6%
9 81
6.3%
Other Letter
ValueCountFrequency (%)
329
25.0%
329
25.0%
329
25.0%
329
25.0%
Other Punctuation
ValueCountFrequency (%)
. 193
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1486
53.0%
Hangul 1316
47.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 193
13.0%
3 173
11.6%
1 169
11.4%
4 159
10.7%
2 157
10.6%
8 132
8.9%
7 116
7.8%
6 112
7.5%
5 109
7.3%
0 85
5.7%
Hangul
ValueCountFrequency (%)
329
25.0%
329
25.0%
329
25.0%
329
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1486
53.0%
Hangul 1316
47.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
329
25.0%
329
25.0%
329
25.0%
329
25.0%
ASCII
ValueCountFrequency (%)
. 193
13.0%
3 173
11.6%
1 169
11.4%
4 159
10.7%
2 157
10.6%
8 132
8.9%
7 116
7.8%
6 112
7.5%
5 109
7.3%
0 85
5.7%

belvnum
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
신도수
359 

Length

Max length4
Median length4
Mean length3.8144703
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> 1576
81.4%
신도수 359
 
18.6%

Length

2024-04-18T03:45:27.676387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:27.758200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
신도수 359
 
18.6%

infoben
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1427 
344 
Y
164 

Length

Max length4
Median length4
Mean length3.2124031
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> 1427
73.7%
344
 
17.8%
Y 164
 
8.5%

Length

2024-04-18T03:45:27.843067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:27.925501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1427
73.7%
344
 
17.8%
y 164
 
8.5%

engstntrnmnm
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
영문상호명
359 

Length

Max length5
Median length4
Mean length4.1855297
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> 1576
81.4%
영문상호명 359
 
18.6%

Length

2024-04-18T03:45:28.007688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:28.083832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
영문상호명 359
 
18.6%

engstntrnmaddr
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
영문상호주소
359 

Length

Max length6
Median length4
Mean length4.3710594
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> 1576
81.4%
영문상호주소 359
 
18.6%

Length

2024-04-18T03:45:28.168003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:28.248780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
영문상호주소 359
 
18.6%

originhist
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1574 
유래연혁
359 
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 length4.0883721
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> 1574
81.3%
유래연혁 359
 
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

2024-04-18T03:45:28.329424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:28.409297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1574
79.9%
유래연혁 359
 
18.2%
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 size15.2 KiB
<NA>
1475 
350 
Y
 
110

Length

Max length4
Median length4
Mean length3.2868217
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> 1475
76.2%
350
 
18.1%
Y 110
 
5.7%

Length

2024-04-18T03:45:28.525149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:28.605554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1475
76.2%
350
 
18.1%
y 110
 
5.7%

capt
Categorical

IMBALANCE 

Distinct34
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1527 
자본금
332 
0
 
10
50000000
 
9
30000000
 
7
Other values (29)
 
50

Length

Max length10
Median length4
Mean length3.9751938
Min length1

Unique

Unique20 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1527
78.9%
자본금 332
 
17.2%
0 10
 
0.5%
50000000 9
 
0.5%
30000000 7
 
0.4%
200000000 4
 
0.2%
100000000 4
 
0.2%
300000000 4
 
0.2%
7000000000 4
 
0.2%
5202990090 3
 
0.2%
Other values (24) 31
 
1.6%

Length

2024-04-18T03:45:28.687943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1527
78.9%
자본금 332
 
17.2%
0 10
 
0.5%
50000000 9
 
0.5%
30000000 7
 
0.4%
200000000 4
 
0.2%
100000000 4
 
0.2%
300000000 4
 
0.2%
7000000000 4
 
0.2%
1080000000 3
 
0.2%
Other values (24) 31
 
1.6%

tdtpnm
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1572 
전통사찰명
358 
창룡사
 
3
용화사
 
1
정수암
 
1

Length

Max length5
Median length4
Mean length4.1824289
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> 1572
81.2%
전통사찰명 358
 
18.5%
창룡사 3
 
0.2%
용화사 1
 
0.1%
정수암 1
 
0.1%

Length

2024-04-18T03:45:28.784900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:28.876975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1572
81.2%
전통사찰명 358
 
18.5%
창룡사 3
 
0.2%
용화사 1
 
0.1%
정수암 1
 
0.1%

mnfactreartclcn
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
제작취급품목내용
359 

Length

Max length8
Median length4
Mean length4.7421189
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> 1576
81.4%
제작취급품목내용 359
 
18.6%

Length

2024-04-18T03:45:28.970609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:29.051687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
제작취급품목내용 359
 
18.6%

chaircnt
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
좌석수
359 

Length

Max length4
Median length4
Mean length3.8144703
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> 1576
81.4%
좌석수 359
 
18.6%

Length

2024-04-18T03:45:29.132695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:29.206756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
좌석수 359
 
18.6%

nearenvnm
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1464 
주변환경명
337 
기타
 
91
학교정화(상대)
 
17
아파트지역
 
16
Other values (2)
 
10

Length

Max length8
Median length4
Mean length4.1297158
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> 1464
75.7%
주변환경명 337
 
17.4%
기타 91
 
4.7%
학교정화(상대) 17
 
0.9%
아파트지역 16
 
0.8%
주택가주변 9
 
0.5%
결혼예식장주변 1
 
0.1%

Length

2024-04-18T03:45:29.291935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:29.381268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1464
75.7%
주변환경명 337
 
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 size15.2 KiB
<NA>
1576 
준공일자
359 

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> 1576
81.4%
준공일자 359
 
18.6%

Length

2024-04-18T03:45:29.474947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:29.548499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
준공일자 359
 
18.6%

jisgnumlay
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1489 
지상층수
339 
2
 
26
1
 
25
5
 
17
Other values (7)
 
39

Length

Max length4
Median length4
Mean length3.8346253
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> 1489
77.0%
지상층수 339
 
17.5%
2 26
 
1.3%
1 25
 
1.3%
5 17
 
0.9%
3 13
 
0.7%
4 12
 
0.6%
6 6
 
0.3%
7 3
 
0.2%
8 2
 
0.1%
Other values (2) 3
 
0.2%

Length

2024-04-18T03:45:29.632181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1489
77.0%
지상층수 339
 
17.5%
2 26
 
1.3%
1 25
 
1.3%
5 17
 
0.9%
3 13
 
0.7%
4 12
 
0.6%
6 6
 
0.3%
7 3
 
0.2%
8 2
 
0.1%
Other values (2) 3
 
0.2%

regnsenm
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1423 
지역구분명
330 
관리지역
 
47
자연녹지지역
 
40
일반주거지역
 
28
Other values (10)
 
67

Length

Max length6
Median length4
Mean length4.2868217
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> 1423
73.5%
지역구분명 330
 
17.1%
관리지역 47
 
2.4%
자연녹지지역 40
 
2.1%
일반주거지역 28
 
1.4%
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

2024-04-18T03:45:29.736920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1423
73.5%
지역구분명 330
 
17.1%
관리지역 47
 
2.4%
자연녹지지역 40
 
2.1%
일반주거지역 28
 
1.4%
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 size15.2 KiB
<NA>
1572 
지정취소
359 
A
 
4

Length

Max length4
Median length4
Mean length3.9937984
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> 1572
81.2%
지정취소 359
 
18.6%
A 4
 
0.2%

Length

2024-04-18T03:45:29.836642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:29.917411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1572
81.2%
지정취소 359
 
18.6%
a 4
 
0.2%

asgncancelwhy
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
지정취소사유
359 

Length

Max length6
Median length4
Mean length4.3710594
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> 1576
81.4%
지정취소사유 359
 
18.6%

Length

2024-04-18T03:45:30.005501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:30.094376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
지정취소사유 359
 
18.6%

asgncancelymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
지정취소일자
359 

Length

Max length6
Median length4
Mean length4.3710594
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> 1576
81.4%
지정취소일자 359
 
18.6%

Length

2024-04-18T03:45:30.182212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:30.265350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
지정취소일자 359
 
18.6%

undernumlay
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1516 
지하층수
349 
1
 
50
2
 
9
4
 
4
Other values (3)
 
7

Length

Max length4
Median length4
Mean length3.8914729
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> 1516
78.3%
지하층수 349
 
18.0%
1 50
 
2.6%
2 9
 
0.5%
4 4
 
0.2%
0 3
 
0.2%
3 3
 
0.2%
5 1
 
0.1%

Length

2024-04-18T03:45:30.347749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:30.436622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1516
78.3%
지하층수 349
 
18.0%
1 50
 
2.6%
2 9
 
0.5%
4 4
 
0.2%
0 3
 
0.2%
3 3
 
0.2%
5 1
 
0.1%

estbhdate
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1572 
창립연대
359 
680
 
3
720
 
1

Length

Max length4
Median length4
Mean length3.9979328
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> 1572
81.2%
창립연대 359
 
18.6%
680 3
 
0.2%
720 1
 
0.1%

Length

2024-04-18T03:45:30.546051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:30.651047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1572
81.2%
창립연대 359
 
18.6%
680 3
 
0.2%
720 1
 
0.1%

totnumlay
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1509 
총층수
340 
1
 
16
6
 
16
3
 
13
Other values (7)
 
41

Length

Max length4
Median length4
Mean length3.6914729
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> 1509
78.0%
총층수 340
 
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

2024-04-18T03:45:30.771328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1509
78.0%
총층수 340
 
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 size15.2 KiB
<NA>
1576 
폐관사유
359 

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> 1576
81.4%
폐관사유 359
 
18.6%

Length

2024-04-18T03:45:30.859455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:31.187606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
폐관사유 359
 
18.6%

closeymd
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
폐관일자
359 

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> 1576
81.4%
폐관일자 359
 
18.6%

Length

2024-04-18T03:45:31.264027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:31.333662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
폐관일자 359
 
18.6%

permcn
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
허가조건
359 

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> 1576
81.4%
허가조건 359
 
18.6%

Length

2024-04-18T03:45:31.408805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:31.479845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
허가조건 359
 
18.6%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
<NA>
1576 
회의실별동시수용인원
359 

Length

Max length10
Median length4
Mean length5.1131783
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> 1576
81.4%
회의실별동시수용인원 359
 
18.6%

Length

2024-04-18T03:45:31.569108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:31.650404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1576
81.4%
회의실별동시수용인원 359
 
18.6%

last_load_dttm
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing6
Missing (%)0.3%
Memory size15.2 KiB
Minimum2021-01-05 10:37:09
Maximum2021-01-05 10:37:09
2024-04-18T03:45:31.713881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:45:31.780667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelopenymdstroomcntbdngsrvnmcnstyareasvnsrplninsurstdtplninsurenddtplayutscntdtlplayfacilcntstagearculwrkrsenmculphyedcobnmmuseumkindnmmuseumsortnmgeicpfacilenbcfacilenbupnmbupesbmntobjbupdisorgymdinsurorgnminsurstdtinsurenddtafcshpinfoshpcntshptottonsmngmbdnmndloanmonknumfacilscpfacilarbelvnuminfobenengstntrnmnmengstntrnmaddroriginhistdispenencapttdtpnmmnfactreartclcnchaircntnearenvnmjgongymdjisgnumlayregnsenmasgncancelasgncancelwhyasgncancelymdundernumlayestbhdatetotnumlayclosewhycloseymdpermcnmeetsamtimesygstflast_load_dttm
016260000B0401199200000103_07_05_PI2018-08-31 23:59:59.0<NA>부산광역시립박물관<NA>부산광역시 남구 대연동 948번지 1호48947부산광역시 남구 유엔평화로 63 (대연동)19921221<NA><NA><NA><NA>1영업391008.90715500000183520.0033520000020111031090155<NA>051-123-123419780711<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관종합박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>국립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
126260000B0402201500000103_07_05_PU2019-04-18 02:40:00.0박물관, 미술관석당미술관<NA>부산광역시 서구 부민동2가 1번지48947부산광역시 서구 구덕로 225 (부민동2가)20150325<NA><NA><NA><NA>영업/정상영업384047.41688983180228.45254961520190416132936<NA>051-123-123420150325<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>미술관미술관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대학<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
236260000B0401200700000103_07_05_PI2018-08-31 23:59:59.0<NA>부산포민속박물관<NA>부산광역시 부산진구 부전동 168번지 176호48947부산광역시 부산진구 중앙대로702번길 21 (부전동)20070321<NA><NA><NA><NA>1영업387744.56187800000186296.0903030000020180806202012<NA>051-123-123420060525<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관종합박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>사립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
346260000B0401200800000103_07_05_PI2018-08-31 23:59:59.0<NA>범어사 성보박물관<NA>부산광역시 금정구 청룡동 546번지48947부산광역시 금정구 범어사로 250 (청룡동)20080625<NA><NA><NA><NA>1영업388303.80706500000200687.2186390000020180806202412<NA>051-123-123420030323<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관전문박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>사립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
456260000B0401200900000103_07_05_PI2018-08-31 23:59:59.0<NA>킴스아트필드미술관<NA>부산광역시 금정구 금성동 285번지48947부산광역시 금정구 죽전1길 29 (금성동)20090123<NA><NA><NA><NA>1영업386960.13317900000197033.3623880000020180703175718<NA>051-123-123420090123<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>미술관미술관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>사립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
566260000B0401201200000103_07_05_PI2018-08-31 23:59:59.0<NA>록봉민속교육박물관<NA>부산광역시 강서구 천성동 813번지48947부산광역시 강서구 가덕해안로 741 (천성동)20120605<NA><NA><NA><NA>1영업365504.70347700000172143.4007150000020180806202904<NA>051-123-123420120608<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관전문박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>사립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
676260000B0401200900000203_07_05_PI2018-08-31 23:59:59.0<NA>오륜대 한국순교자기념관<NA>부산광역시 금정구 부곡동 1번지 4호48947부산광역시 금정구 오륜대로 106-1 (부곡동)20090227<NA><NA><NA><NA>1영업391319.31655200000196504.2071650000020180806202628<NA>051-123-123419820925<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관전문박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>사립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
786260000B0401200900000303_07_05_PI2018-08-31 23:59:59.0<NA>동아대학교박물관<NA>부산광역시 서구 부민동2가 1번지48947부산광역시 서구 구덕로 225 (부민동2가)20011128<NA><NA><NA><NA>1영업384128.73118000000180592.0432970000020111031090544<NA>051-123-123419591101<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관종합박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>대학0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
896260000B0401201200000203_07_05_PI2018-08-31 23:59:59.0<NA>임시수도기념관<NA>부산광역시 서구 부민동3가 22번지48947부산광역시 서구 임시수도기념로 45 (부민동3가)20121017<NA><NA><NA><NA>1영업383965.79698500000180468.1375150000020121017132939<NA>051-123-123419840625<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관전문박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
9106260000B0401201200000303_07_05_PI2018-08-31 23:59:59.0<NA>부산해양자연사박물관<NA>부산광역시 동래구 온천동 산 13번지 1호48947부산광역시 동래구 우장춘로 175 (온천동)20121126<NA><NA><NA><NA>1영업388982.92937200000193694.4969300000020180417125713<NA>051-123-123419971202<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관전문박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공립0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelopenymdstroomcntbdngsrvnmcnstyareasvnsrplninsurstdtplninsurenddtplayutscntdtlplayfacilcntstagearculwrkrsenmculphyedcobnmmuseumkindnmmuseumsortnmgeicpfacilenbcfacilenbupnmbupesbmntobjbupdisorgymdinsurorgnminsurstdtinsurenddtafcshpinfoshpcntshptottonsmngmbdnmndloanmonknumfacilscpfacilarbelvnuminfobenengstntrnmnmengstntrnmaddroriginhistdispenencapttdtpnmmnfactreartclcnchaircntnearenvnmjgongymdjisgnumlayregnsenmasgncancelasgncancelwhyasgncancelymdundernumlayestbhdatetotnumlayclosewhycloseymdpermcnmeetsamtimesygstflast_load_dttm
192519365710000CDFI527200202000000903_07_08_PI2020-12-26 00:23:21.0유원시설업(기타)사단법인 탑교육문화원<NA>경기도 수원시 팔달구 교동 142-2016464경기도 수원시 팔달구 매산로116번길 18, 3층 (교동)20201224<NA><NA><NA><NA>영업/정상영업중201131.707177722418721.57628834520201224173422<NA>031-245-5100<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>2021-01-05 10:37:09
192619374400000CDFI527200202000000403_07_08_PI2020-12-30 00:23:06.0유원시설업(기타)별수하야영장지번우편번호충청북도 제천시 백운면 운학리 17127102충청북도 제천시 백운면 운학3길 1920201228폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중288558.381663412359.83163320201228175008업태구분명전화번호개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역1무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-01-05 10:37:09
192719384400000CDFI527200202000000503_07_08_PI2020-12-30 00:23:06.0유원시설업(기타)대현캠핑장<NA>충청북도 제천시 봉양읍 명암리 19827108충청북도 제천시 봉양읍 명암로 69220201228<NA><NA><NA><NA>영업/정상영업중302468.161928410931.076520201228175021<NA><NA><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>2021-01-05 10:37:09
192819396460000B0402202000000303_07_05_PI2020-12-30 00:23:06.0박물관, 미술관유달미술관<NA>전라남도 목포시 산정동 1733번지 1호<NA>전라남도 목포시 원산중앙로 52-0 (산정동)20201228<NA><NA><NA><NA>영업/정상영업142984.086895145838.08946620201228094503<NA><NA>20201216<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>미술관미술관2종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>사립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
192919406460000B0402202000000203_07_05_PI2020-12-30 00:23:06.0박물관, 미술관전남도립미술관<NA>전라남도 광양시 광양읍 인동리 227번지 0호 1호<NA>전라남도 광양시 광양읍 순광로 660-020201228<NA><NA><NA><NA>영업/정상영업<NA><NA>20201228091732<NA><NA>20210322<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>미술관미술관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
193019416460000B0401202000000503_07_05_PI2020-12-30 00:23:06.0박물관, 미술관세계조개박물관<NA>전라남도 신안군 자은면 백산리 633번지 93호<NA>전라남도 신안군 자은면 자은서부2길 508-6520201228<NA><NA><NA><NA>영업/정상영업<NA><NA>20201228092203<NA><NA>20200801<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>박물관전문박물관1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>공립<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-01-05 10:37:09
193119423150000CDFI527200202000000303_07_08_PI2020-12-31 00:23:05.0유원시설업(기타)히어로방방키즈카페지번우편번호서울특별시 강서구 내발산동 712-4 B01호07638서울특별시 강서구 강서로45길 110, 지하1층 (내발산동)20201229폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중185075.961315199449783.88854707720201229180429업태구분명전화번호개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-01-05 10:37:09
193219434400000CDFI527200202000000603_07_08_PI2021-01-01 00:23:05.0유원시설업(기타)가마실캠핑장지번우편번호충청북도 제천시 자작동 24227131충청북도 제천시 의병대로61길 50 (자작동)20201230폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중315160.183589402974.80438620201230081548업태구분명전화번호개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역1무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-01-05 10:37:09
193319444810000CDFI527100202000000203_07_09_PI2021-01-02 00:23:15.0일반유원시설업여수해양레일바이크지번우편번호전라남도 여수시 만흥동 141-259723전라남도 여수시 망양로 187 (만흥동)20201231폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중268333.037787141742.6203520201231173948업태구분명061-652-7882개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자레일바이크 70대놀이시설수무대면적문화사업자구분명허가유원시설업박물관미술관유형명박물관미술관종류명법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수영문상호명영문상호주소유래연혁자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-01-05 10:37:09
193419455590000CDFI527200202000000203_07_08_PI2021-01-02 00:23:15.0유원시설업(기타)양주시 감동VR체험관<NA>경기도 양주시 덕정동 20611451경기도 양주시 화합로1426번길 90, 양주체육복지센터 2층 (덕정동)20201231<NA><NA><NA><NA>영업/정상영업중205922.248006734481731.25322555120201231170448<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>2021-01-05 10:37:09