Overview

Dataset statistics

Number of variables79
Number of observations10000
Missing cells491725
Missing cells (%)62.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 MiB
Average record size in memory671.0 B

Variable types

Unsupported40
Numeric5
Text18
Categorical12
DateTime3
Boolean1

Alerts

clgstdt has constant value ""Constant
clgenddt has constant value ""Constant
ropnymd has constant value ""Constant
stroomcnt has constant value ""Constant
engstntrnmaddr has constant value ""Constant
jtupsomainedf has constant value ""Constant
jtupsoasgnno has constant value ""Constant
regnsenm has constant value ""Constant
undernumlay has constant value ""Constant
totnumlay has constant value ""Constant
opnsvcid is highly imbalanced (73.1%)Imbalance
updategbn is highly imbalanced (98.9%)Imbalance
opnsvcnm is highly imbalanced (98.9%)Imbalance
dtlstatenm is highly imbalanced (50.8%)Imbalance
sitetel is highly imbalanced (99.6%)Imbalance
wtrsplyfacilsenm is highly imbalanced (63.1%)Imbalance
multusnupsoyn is highly imbalanced (84.5%)Imbalance
lvsenm is highly imbalanced (52.0%)Imbalance
culwrkrsenm is highly imbalanced (99.4%)Imbalance
culphyedcobnm is highly imbalanced (98.6%)Imbalance
trdpjubnsenm is highly imbalanced (54.1%)Imbalance
sitepostno has 145 (1.5%) missing valuesMissing
rdnwhladdr has 3726 (37.3%) missing valuesMissing
dcbymd has 4019 (40.2%) missing valuesMissing
clgstdt has 9999 (> 99.9%) missing valuesMissing
clgenddt has 9999 (> 99.9%) missing valuesMissing
ropnymd has 9999 (> 99.9%) missing valuesMissing
x has 399 (4.0%) missing valuesMissing
y has 399 (4.0%) missing valuesMissing
stroomcnt has 9999 (> 99.9%) missing valuesMissing
bdngownsenm has 10000 (100.0%) missing valuesMissing
bdngsrvnm has 10000 (100.0%) missing valuesMissing
cnstyarea has 10000 (100.0%) missing valuesMissing
fctyowkepcnt has 9996 (> 99.9%) missing valuesMissing
fctypdtjobepcnt has 9996 (> 99.9%) missing valuesMissing
fctysiljobepcnt has 9996 (> 99.9%) missing valuesMissing
svnsr has 10000 (100.0%) missing valuesMissing
plninsurstdt has 10000 (100.0%) missing valuesMissing
plninsurenddt has 10000 (100.0%) missing valuesMissing
maneipcnt has 6534 (65.3%) missing valuesMissing
playutscntdtl has 10000 (100.0%) missing valuesMissing
playfacilcnt has 10000 (100.0%) missing valuesMissing
stagear has 10000 (100.0%) missing valuesMissing
geicpfacilen has 10000 (100.0%) missing valuesMissing
bcfacilen has 10000 (100.0%) missing valuesMissing
isream has 9996 (> 99.9%) missing valuesMissing
insurorgnm has 10000 (100.0%) missing valuesMissing
insurstdt has 10000 (100.0%) missing valuesMissing
insurenddt has 10000 (100.0%) missing valuesMissing
hoffepcnt has 9995 (> 99.9%) missing valuesMissing
afc has 10000 (100.0%) missing valuesMissing
shpinfo has 10000 (100.0%) missing valuesMissing
shpcnt has 10000 (100.0%) missing valuesMissing
shptottons has 10000 (100.0%) missing valuesMissing
facilscp has 9996 (> 99.9%) missing valuesMissing
facilar has 9996 (> 99.9%) missing valuesMissing
infoben has 10000 (100.0%) missing valuesMissing
wmeipcnt has 6502 (65.0%) missing valuesMissing
engstntrnmnm has 9997 (> 99.9%) missing valuesMissing
engstntrnmaddr has 9998 (> 99.9%) missing valuesMissing
monam has 9996 (> 99.9%) missing valuesMissing
dispenen has 10000 (100.0%) missing valuesMissing
capt has 9996 (> 99.9%) missing valuesMissing
jtupsomainedf has 9999 (> 99.9%) missing valuesMissing
jtupsoasgnno has 9999 (> 99.9%) missing valuesMissing
mnfactreartclcn has 10000 (100.0%) missing valuesMissing
chaircnt has 10000 (100.0%) missing valuesMissing
nearenvnm has 10000 (100.0%) missing valuesMissing
jisgnumlay has 9997 (> 99.9%) missing valuesMissing
regnsenm has 9999 (> 99.9%) missing valuesMissing
undernumlay has 9998 (> 99.9%) missing valuesMissing
totepnum has 10000 (100.0%) missing valuesMissing
totnumlay has 9998 (> 99.9%) missing valuesMissing
homepage has 10000 (100.0%) missing valuesMissing
meetsamtimesygstf has 10000 (100.0%) missing valuesMissing
sitepostno is highly skewed (γ1 = -27.59620372)Skewed
mgtno has unique valuesUnique
skey is an unsupported type, check if it needs cleaning or further analysisUnsupported
apvpermymd is an unsupported type, check if it needs cleaning or further analysisUnsupported
dcbymd is an unsupported type, check if it needs cleaning or further analysisUnsupported
trdstatenm is an unsupported type, check if it needs cleaning or further analysisUnsupported
y is an unsupported type, check if it needs cleaning or further analysisUnsupported
bdngownsenm is an unsupported type, check if it needs cleaning or further analysisUnsupported
bdngsrvnm is an unsupported type, check if it needs cleaning or further analysisUnsupported
cnstyarea is an unsupported type, check if it needs cleaning or further analysisUnsupported
fctyowkepcnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
fctypdtjobepcnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
fctysiljobepcnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
svnsr is an unsupported type, check if it needs cleaning or further analysisUnsupported
plninsurstdt is an unsupported type, check if it needs cleaning or further analysisUnsupported
plninsurenddt is an unsupported type, check if it needs cleaning or further analysisUnsupported
maneipcnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
playutscntdtl is an unsupported type, check if it needs cleaning or further analysisUnsupported
playfacilcnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
stagear is an unsupported type, check if it needs cleaning or further analysisUnsupported
geicpfacilen is an unsupported type, check if it needs cleaning or further analysisUnsupported
bcfacilen is an unsupported type, check if it needs cleaning or further analysisUnsupported
isream is an unsupported type, check if it needs cleaning or further analysisUnsupported
insurorgnm is an unsupported type, check if it needs cleaning or further analysisUnsupported
insurstdt is an unsupported type, check if it needs cleaning or further analysisUnsupported
insurenddt is an unsupported type, check if it needs cleaning or further analysisUnsupported
hoffepcnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
afc is an unsupported type, check if it needs cleaning or further analysisUnsupported
shpinfo is an unsupported type, check if it needs cleaning or further analysisUnsupported
shpcnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
shptottons is an unsupported type, check if it needs cleaning or further analysisUnsupported
faciltotscp is an unsupported type, check if it needs cleaning or further analysisUnsupported
infoben is an unsupported type, check if it needs cleaning or further analysisUnsupported
wmeipcnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
monam is an unsupported type, check if it needs cleaning or further analysisUnsupported
dispenen is an unsupported type, check if it needs cleaning or further analysisUnsupported
mnfactreartclcn is an unsupported type, check if it needs cleaning or further analysisUnsupported
chaircnt is an unsupported type, check if it needs cleaning or further analysisUnsupported
nearenvnm is an unsupported type, check if it needs cleaning or further analysisUnsupported
totepnum is an unsupported type, check if it needs cleaning or further analysisUnsupported
homepage is an unsupported type, check if it needs cleaning or further analysisUnsupported
meetsamtimesygstf is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 15:23:31.545678
Analysis finished2024-04-17 15:23:33.569803
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

opnsfteamcode
Real number (ℝ)

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3315279.7
Minimum606820
Maximum5670000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:23:33.613798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum606820
5-th percentile3250000
Q13280000
median3310000
Q33350000
95-th percentile3390000
Maximum5670000
Range5063180
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation65965.433
Coefficient of variation (CV)0.019897396
Kurtosis633.34213
Mean3315279.7
Median Absolute Deviation (MAD)40000
Skewness3.911926
Sum3.3152797 × 1010
Variance4.3514383 × 109
MonotonicityNot monotonic
2024-04-18T00:23:33.705549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3250000 1626
16.3%
3290000 1233
12.3%
3330000 1216
12.2%
3300000 765
 
7.6%
3350000 643
 
6.4%
3390000 544
 
5.4%
3340000 517
 
5.2%
3320000 513
 
5.1%
3310000 492
 
4.9%
3380000 484
 
4.8%
Other values (16) 1967
19.7%
ValueCountFrequency (%)
606820 1
 
< 0.1%
3010000 1
 
< 0.1%
3050000 1
 
< 0.1%
3130000 1
 
< 0.1%
3250000 1626
16.3%
3260000 296
 
3.0%
3270000 436
 
4.4%
3280000 237
 
2.4%
3290000 1233
12.3%
3300000 765
7.6%
ValueCountFrequency (%)
5670000 1
 
< 0.1%
5380000 1
 
< 0.1%
5350000 1
 
< 0.1%
3940000 2
 
< 0.1%
3900000 1
 
< 0.1%
3660000 1
 
< 0.1%
3400000 379
3.8%
3390000 544
5.4%
3380000 484
4.8%
3370000 420
4.2%

mgtno
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T00:23:33.870096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length21.9981
Min length20

Characters and Unicode

Total characters219981
Distinct characters31
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st row3330000-104-2013-00128
2nd row3290000-104-1995-05455
3rd row3400000-104-2012-00005
4th row3370000-104-1984-01816
5th row3370000-104-2012-00007
ValueCountFrequency (%)
3330000-104-2013-00128 1
 
< 0.1%
3380000-104-2001-04219 1
 
< 0.1%
3350000-104-2013-00013 1
 
< 0.1%
3290000-104-2016-00039 1
 
< 0.1%
3370000-104-1980-01801 1
 
< 0.1%
3290000-104-1994-05801 1
 
< 0.1%
3330000-104-2000-02034 1
 
< 0.1%
3250000-104-1987-00153 1
 
< 0.1%
3390000-104-1989-02961 1
 
< 0.1%
3330000-104-2010-00058 1
 
< 0.1%
Other values (9994) 9994
99.9%
2024-04-18T00:23:34.123949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86495
39.3%
- 29959
 
13.6%
1 25038
 
11.4%
3 20934
 
9.5%
2 15711
 
7.1%
4 13498
 
6.1%
9 9364
 
4.3%
5 5906
 
2.7%
8 4590
 
2.1%
7 4450
 
2.0%
Other values (21) 4036
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189950
86.3%
Dash Punctuation 29959
 
13.6%
Uppercase Letter 52
 
< 0.1%
Other Letter 14
 
< 0.1%
Space Separator 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1
 
7.1%
지 1
 
7.1%
번 1
 
7.1%
동 1
 
7.1%
학 1
 
7.1%
청 1
 
7.1%
부 1
 
7.1%
도 1
 
7.1%
영 1
 
7.1%
시 1
 
7.1%
Other values (4) 4
28.6%
Decimal Number
ValueCountFrequency (%)
0 86495
45.5%
1 25038
 
13.2%
3 20934
 
11.0%
2 15711
 
8.3%
4 13498
 
7.1%
9 9364
 
4.9%
5 5906
 
3.1%
8 4590
 
2.4%
7 4450
 
2.3%
6 3964
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
F 13
25.0%
I 13
25.0%
C 13
25.0%
D 13
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 29959
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 219915
> 99.9%
Latin 52
 
< 0.1%
Hangul 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1
 
7.1%
지 1
 
7.1%
번 1
 
7.1%
동 1
 
7.1%
학 1
 
7.1%
청 1
 
7.1%
부 1
 
7.1%
도 1
 
7.1%
영 1
 
7.1%
시 1
 
7.1%
Other values (4) 4
28.6%
Common
ValueCountFrequency (%)
0 86495
39.3%
- 29959
 
13.6%
1 25038
 
11.4%
3 20934
 
9.5%
2 15711
 
7.1%
4 13498
 
6.1%
9 9364
 
4.3%
5 5906
 
2.7%
8 4590
 
2.1%
7 4450
 
2.0%
Other values (3) 3970
 
1.8%
Latin
ValueCountFrequency (%)
F 13
25.0%
I 13
25.0%
C 13
25.0%
D 13
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219967
> 99.9%
Hangul 14
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86495
39.3%
- 29959
 
13.6%
1 25038
 
11.4%
3 20934
 
9.5%
2 15711
 
7.1%
4 13498
 
6.1%
9 9364
 
4.3%
5 5906
 
2.7%
8 4590
 
2.1%
7 4450
 
2.0%
Other values (7) 4022
 
1.8%
Hangul
ValueCountFrequency (%)
구 1
 
7.1%
지 1
 
7.1%
번 1
 
7.1%
동 1
 
7.1%
학 1
 
7.1%
청 1
 
7.1%
부 1
 
7.1%
도 1
 
7.1%
영 1
 
7.1%
시 1
 
7.1%
Other values (4) 4
28.6%

opnsvcid
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_24_05_P
8810 
07_24_04_P
1176 
07_24_03_P
 
13
49084
 
1

Length

Max length10
Median length10
Mean length9.9995
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row07_24_05_P
2nd row07_24_05_P
3rd row07_24_05_P
4th row07_24_05_P
5th row07_24_05_P

Common Values

ValueCountFrequency (%)
07_24_05_P 8810
88.1%
07_24_04_P 1176
 
11.8%
07_24_03_P 13
 
0.1%
49084 1
 
< 0.1%

Length

2024-04-18T00:23:34.230022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:23:34.301173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_05_p 8810
88.1%
07_24_04_p 1176
 
11.8%
07_24_03_p 13
 
0.1%
49084 1
 
< 0.1%

updategbn
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
9984 
U
 
15
부산광역시 영도구 청학동로 16, 3~4층 (청학동)
 
1

Length

Max length29
Median length1
Mean length1.0028
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 9984
99.8%
U 15
 
0.1%
부산광역시 영도구 청학동로 16, 3~4층 (청학동) 1
 
< 0.1%

Length

2024-04-18T00:23:34.382536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:23:34.457134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9984
99.8%
u 15
 
0.1%
부산광역시 1
 
< 0.1%
영도구 1
 
< 0.1%
청학동로 1
 
< 0.1%
16 1
 
< 0.1%
3~4층 1
 
< 0.1%
청학동 1
 
< 0.1%

updatedt
Date

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2017-05-22 00:00:00
Maximum2018-10-21 02:37:41
2024-04-18T00:23:34.524732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:23:34.607060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

opnsvcnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9990 
휴게음식점
 
10

Length

Max length5
Median length4
Mean length4.001
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> 9990
99.9%
휴게음식점 10
 
0.1%

Length

2024-04-18T00:23:34.690226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:23:34.763827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9990
99.9%
휴게음식점 10
 
0.1%

bplcnm
Text

Distinct8779
Distinct (%)87.8%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-18T00:23:34.972408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length6.3086309
Min length1

Characters and Unicode

Total characters63080
Distinct characters1040
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

Unique8067 ?
Unique (%)80.7%

Sample

1st row(주)호봉푸드시스템
2nd row라일락
3rd row루
4th row로얄제과
5th row스무디킹
ValueCountFrequency (%)
gs25 63
 
0.5%
카페 57
 
0.5%
커피 42
 
0.3%
미니스톱 42
 
0.3%
롯데리아 41
 
0.3%
coffee 37
 
0.3%
씨유 35
 
0.3%
스타벅스 30
 
0.2%
cafe 28
 
0.2%
베스킨라빈스 28
 
0.2%
Other values (9285) 11803
96.7%
2024-04-18T00:23:35.511369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2227
 
3.5%
점 2005
 
3.2%
스 1929
 
3.1%
피 1456
 
2.3%
이 1327
 
2.1%
커 1222
 
1.9%
리 1132
 
1.8%
) 980
 
1.6%
( 974
 
1.5%
아 717
 
1.1%
Other values (1030) 49111
77.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53377
84.6%
Uppercase Letter 2260
 
3.6%
Space Separator 2227
 
3.5%
Lowercase Letter 2057
 
3.3%
Decimal Number 988
 
1.6%
Close Punctuation 981
 
1.6%
Open Punctuation 975
 
1.5%
Other Punctuation 169
 
0.3%
Dash Punctuation 29
 
< 0.1%
Math Symbol 10
 
< 0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2005
 
3.8%
스 1929
 
3.6%
피 1456
 
2.7%
이 1327
 
2.5%
커 1222
 
2.3%
리 1132
 
2.1%
아 717
 
1.3%
산 700
 
1.3%
부 666
 
1.2%
다 652
 
1.2%
Other values (945) 41571
77.9%
Lowercase Letter
ValueCountFrequency (%)
e 356
17.3%
a 209
10.2%
o 201
9.8%
f 176
 
8.6%
c 141
 
6.9%
i 106
 
5.2%
n 102
 
5.0%
r 99
 
4.8%
s 98
 
4.8%
t 88
 
4.3%
Other values (16) 481
23.4%
Uppercase Letter
ValueCountFrequency (%)
C 283
12.5%
S 241
 
10.7%
G 214
 
9.5%
E 169
 
7.5%
P 157
 
6.9%
A 118
 
5.2%
O 113
 
5.0%
F 108
 
4.8%
B 108
 
4.8%
T 108
 
4.8%
Other values (16) 641
28.4%
Other Punctuation
ValueCountFrequency (%)
& 56
33.1%
. 42
24.9%
, 26
15.4%
' 17
 
10.1%
/ 8
 
4.7%
: 6
 
3.6%
! 4
 
2.4%
· 4
 
2.4%
# 3
 
1.8%
＆ 2
 
1.2%
Decimal Number
ValueCountFrequency (%)
2 306
31.0%
5 231
23.4%
1 122
 
12.3%
0 83
 
8.4%
3 65
 
6.6%
9 48
 
4.9%
8 40
 
4.0%
4 40
 
4.0%
7 38
 
3.8%
6 15
 
1.5%
Math Symbol
ValueCountFrequency (%)
+ 8
80.0%
< 1
 
10.0%
> 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 980
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 974
99.9%
[ 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
� 2
66.7%
° 1
33.3%
Space Separator
ValueCountFrequency (%)
2227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53371
84.6%
Common 5386
 
8.5%
Latin 4317
 
6.8%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2005
 
3.8%
스 1929
 
3.6%
피 1456
 
2.7%
이 1327
 
2.5%
커 1222
 
2.3%
리 1132
 
2.1%
아 717
 
1.3%
산 700
 
1.3%
부 666
 
1.2%
다 652
 
1.2%
Other values (939) 41565
77.9%
Latin
ValueCountFrequency (%)
e 356
 
8.2%
C 283
 
6.6%
S 241
 
5.6%
G 214
 
5.0%
a 209
 
4.8%
o 201
 
4.7%
f 176
 
4.1%
E 169
 
3.9%
P 157
 
3.6%
c 141
 
3.3%
Other values (42) 2170
50.3%
Common
ValueCountFrequency (%)
2227
41.3%
) 980
18.2%
( 974
18.1%
2 306
 
5.7%
5 231
 
4.3%
1 122
 
2.3%
0 83
 
1.5%
3 65
 
1.2%
& 56
 
1.0%
9 48
 
0.9%
Other values (23) 294
 
5.5%
Han
ValueCountFrequency (%)
安 1
16.7%
羊 1
16.7%
時 1
16.7%
流 1
16.7%
林 1
16.7%
情 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53371
84.6%
ASCII 9694
 
15.4%
None 7
 
< 0.1%
CJK 6
 
< 0.1%
Specials 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2227
23.0%
) 980
 
10.1%
( 974
 
10.0%
e 356
 
3.7%
2 306
 
3.2%
C 283
 
2.9%
S 241
 
2.5%
5 231
 
2.4%
G 214
 
2.2%
a 209
 
2.2%
Other values (71) 3673
37.9%
Hangul
ValueCountFrequency (%)
점 2005
 
3.8%
스 1929
 
3.6%
피 1456
 
2.7%
이 1327
 
2.5%
커 1222
 
2.3%
리 1132
 
2.1%
아 717
 
1.3%
산 700
 
1.3%
부 666
 
1.2%
다 652
 
1.2%
Other values (939) 41565
77.9%
None
ValueCountFrequency (%)
· 4
57.1%
＆ 2
28.6%
° 1
 
14.3%
Specials
ValueCountFrequency (%)
� 2
100.0%
CJK
ValueCountFrequency (%)
安 1
16.7%
羊 1
16.7%
時 1
16.7%
流 1
16.7%
林 1
16.7%
情 1
16.7%

sitepostno
Real number (ℝ)

MISSING  SKEWED 

Distinct828
Distinct (%)8.4%
Missing145
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean609359.73
Minimum100070
Maximum630857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:23:35.621601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100070
5-th percentile600044
Q1604812
median609844
Q3614814
95-th percentile617838
Maximum630857
Range530787
Interquartile range (IQR)10002

Descriptive statistics

Standard deviation11453.867
Coefficient of variation (CV)0.018796561
Kurtosis1113.8314
Mean609359.73
Median Absolute Deviation (MAD)5000
Skewness-27.596204
Sum6.0052401 × 109
Variance1.3119107 × 108
MonotonicityNot monotonic
2024-04-18T00:23:35.736118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612020 290
 
2.9%
600045 128
 
1.3%
614847 101
 
1.0%
614845 85
 
0.9%
609839 81
 
0.8%
614846 74
 
0.7%
600806 73
 
0.7%
600811 73
 
0.7%
600017 69
 
0.7%
600046 67
 
0.7%
Other values (818) 8814
88.1%
(Missing) 145
 
1.5%
ValueCountFrequency (%)
100070 1
 
< 0.1%
121889 1
 
< 0.1%
130851 1
 
< 0.1%
302834 1
 
< 0.1%
410330 1
 
< 0.1%
411857 1
 
< 0.1%
423849 1
 
< 0.1%
600011 21
0.2%
600012 38
0.4%
600013 25
0.2%
ValueCountFrequency (%)
630857 1
 
< 0.1%
626050 1
 
< 0.1%
621901 1
 
< 0.1%
619953 20
0.2%
619952 7
 
0.1%
619951 14
0.1%
619913 12
0.1%
619912 17
0.2%
619911 10
0.1%
619906 19
0.2%

sitewhladdr
Text

Distinct8516
Distinct (%)85.3%
Missing15
Missing (%)0.1%
Memory size156.2 KiB
2024-04-18T00:23:35.982669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length59
Mean length25.616224
Min length17

Characters and Unicode

Total characters255778
Distinct characters508
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7780 ?
Unique (%)77.9%

Sample

1st row부산광역시 해운대구 우동 1496번지 롯데백화점센텀시티점 지하
2nd row부산광역시 부산진구 부전동 522-43번지
3rd row부산광역시 기장군 정관읍 모전리 689-18번지 1층
4th row부산광역시 연제구 연산동 2133-12번지
5th row부산광역시 연제구 연산동 105-1번지 홈플러스부산연산점 1층 일부
ValueCountFrequency (%)
부산광역시 9975
 
21.6%
중구 1627
 
3.5%
부산진구 1233
 
2.7%
해운대구 1213
 
2.6%
동래구 765
 
1.7%
1층 654
 
1.4%
금정구 643
 
1.4%
우동 573
 
1.2%
사상구 544
 
1.2%
사하구 516
 
1.1%
Other values (8555) 28495
61.6%
2024-04-18T00:23:36.370548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45811
17.9%
부 12684
 
5.0%
1 12335
 
4.8%
산 11854
 
4.6%
동 11631
 
4.5%
지 11099
 
4.3%
광 10422
 
4.1%
시 10214
 
4.0%
번 10033
 
3.9%
역 10020
 
3.9%
Other values (498) 109675
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148030
57.9%
Decimal Number 50415
 
19.7%
Space Separator 45811
 
17.9%
Dash Punctuation 8726
 
3.4%
Open Punctuation 837
 
0.3%
Close Punctuation 836
 
0.3%
Other Punctuation 706
 
0.3%
Uppercase Letter 358
 
0.1%
Math Symbol 40
 
< 0.1%
Lowercase Letter 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 12684
 
8.6%
산 11854
 
8.0%
동 11631
 
7.9%
지 11099
 
7.5%
광 10422
 
7.0%
시 10214
 
6.9%
번 10033
 
6.8%
역 10020
 
6.8%
구 9903
 
6.7%
가 2336
 
1.6%
Other values (440) 47834
32.3%
Uppercase Letter
ValueCountFrequency (%)
B 102
28.5%
A 70
19.6%
C 29
 
8.1%
S 26
 
7.3%
G 22
 
6.1%
K 22
 
6.1%
L 14
 
3.9%
E 10
 
2.8%
D 7
 
2.0%
Y 6
 
1.7%
Other values (14) 50
14.0%
Decimal Number
ValueCountFrequency (%)
1 12335
24.5%
2 7153
14.2%
3 5489
10.9%
4 4675
 
9.3%
5 4480
 
8.9%
0 4113
 
8.2%
6 3391
 
6.7%
7 3197
 
6.3%
8 2868
 
5.7%
9 2714
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
43.8%
a 2
 
12.5%
c 1
 
6.2%
s 1
 
6.2%
k 1
 
6.2%
t 1
 
6.2%
o 1
 
6.2%
z 1
 
6.2%
l 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 639
90.5%
. 43
 
6.1%
@ 13
 
1.8%
/ 7
 
1.0%
: 3
 
0.4%
' 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 836
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 835
99.9%
] 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
45811
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8726
100.0%
Math Symbol
ValueCountFrequency (%)
~ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148030
57.9%
Common 107371
42.0%
Latin 377
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 12684
 
8.6%
산 11854
 
8.0%
동 11631
 
7.9%
지 11099
 
7.5%
광 10422
 
7.0%
시 10214
 
6.9%
번 10033
 
6.8%
역 10020
 
6.8%
구 9903
 
6.7%
가 2336
 
1.6%
Other values (440) 47834
32.3%
Latin
ValueCountFrequency (%)
B 102
27.1%
A 70
18.6%
C 29
 
7.7%
S 26
 
6.9%
G 22
 
5.8%
K 22
 
5.8%
L 14
 
3.7%
E 10
 
2.7%
e 7
 
1.9%
D 7
 
1.9%
Other values (25) 68
18.0%
Common
ValueCountFrequency (%)
45811
42.7%
1 12335
 
11.5%
- 8726
 
8.1%
2 7153
 
6.7%
3 5489
 
5.1%
4 4675
 
4.4%
5 4480
 
4.2%
0 4113
 
3.8%
6 3391
 
3.2%
7 3197
 
3.0%
Other values (13) 8001
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148030
57.9%
ASCII 107745
42.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45811
42.5%
1 12335
 
11.4%
- 8726
 
8.1%
2 7153
 
6.6%
3 5489
 
5.1%
4 4675
 
4.3%
5 4480
 
4.2%
0 4113
 
3.8%
6 3391
 
3.1%
7 3197
 
3.0%
Other values (46) 8375
 
7.8%
Hangul
ValueCountFrequency (%)
부 12684
 
8.6%
산 11854
 
8.0%
동 11631
 
7.9%
지 11099
 
7.5%
광 10422
 
7.0%
시 10214
 
6.9%
번 10033
 
6.8%
역 10020
 
6.8%
구 9903
 
6.7%
가 2336
 
1.6%
Other values (440) 47834
32.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%

rdnpostno
Real number (ℝ)

Distinct1370
Distinct (%)13.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean48259.652
Minimum1
Maximum51230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:23:36.489253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46269
Q147736
median48947
Q348947
95-th percentile49115
Maximum51230
Range51229
Interquartile range (IQR)1211

Descriptive statistics

Standard deviation1458.8288
Coefficient of variation (CV)0.030228747
Kurtosis500.83172
Mean48259.652
Median Absolute Deviation (MAD)172.5
Skewness-17.283642
Sum4.825 × 108
Variance2128181.5
MonotonicityNot monotonic
2024-04-18T00:23:36.614424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48947 3888
38.9%
48058 167
 
1.7%
48060 159
 
1.6%
48983 82
 
0.8%
48953 82
 
0.8%
47285 63
 
0.6%
48944 60
 
0.6%
48977 56
 
0.6%
48059 46
 
0.5%
48095 45
 
0.4%
Other values (1360) 5350
53.5%
ValueCountFrequency (%)
1 1
< 0.1%
2555 1
< 0.1%
4006 1
< 0.1%
4533 1
< 0.1%
10303 1
< 0.1%
10348 1
< 0.1%
14306 1
< 0.1%
35204 1
< 0.1%
46002 1
< 0.1%
46003 1
< 0.1%
ValueCountFrequency (%)
51230 1
 
< 0.1%
50905 1
 
< 0.1%
50629 1
 
< 0.1%
49527 3
< 0.1%
49525 2
 
< 0.1%
49524 5
0.1%
49522 5
0.1%
49521 7
0.1%
49520 2
 
< 0.1%
49519 6
0.1%

rdnwhladdr
Text

MISSING 

Distinct5812
Distinct (%)92.6%
Missing3726
Missing (%)37.3%
Memory size156.2 KiB
2024-04-18T00:23:36.916857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length55
Mean length31.790405
Min length2

Characters and Unicode

Total characters199453
Distinct characters533
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5575 ?
Unique (%)88.9%

Sample

1st row부산광역시 해운대구 센텀남대로 59 (우동)
2nd row부산광역시 기장군 정관읍 모전1길 68, 1층
3rd row부산광역시 연제구 반송로 88 (연산동)
4th row부산광역시 중구 자갈치해안로 52, 2층 (남포동4가, 외 1필지 자갈치시장)
5th row부산광역시 해운대구 APEC로 55 (우동, 벡스코제1전시장1층일부)
ValueCountFrequency (%)
부산광역시 6263
 
16.3%
1층 1564
 
4.1%
중구 989
 
2.6%
해운대구 940
 
2.4%
부산진구 706
 
1.8%
우동 496
 
1.3%
동래구 418
 
1.1%
금정구 410
 
1.1%
2층 365
 
0.9%
사하구 343
 
0.9%
Other values (5103) 26042
67.6%
2024-04-18T00:23:37.339428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32291
 
16.2%
1 8731
 
4.4%
부 8192
 
4.1%
동 7884
 
4.0%
산 7529
 
3.8%
광 6974
 
3.5%
시 6795
 
3.4%
구 6401
 
3.2%
역 6303
 
3.2%
( 6274
 
3.1%
Other values (523) 102079
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116494
58.4%
Space Separator 32291
 
16.2%
Decimal Number 30342
 
15.2%
Open Punctuation 6275
 
3.1%
Close Punctuation 6275
 
3.1%
Other Punctuation 5660
 
2.8%
Dash Punctuation 1048
 
0.5%
Uppercase Letter 993
 
0.5%
Math Symbol 60
 
< 0.1%
Lowercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 8192
 
7.0%
동 7884
 
6.8%
산 7529
 
6.5%
광 6974
 
6.0%
시 6795
 
5.8%
구 6401
 
5.5%
역 6303
 
5.4%
로 6085
 
5.2%
대 3547
 
3.0%
층 3283
 
2.8%
Other values (468) 53501
45.9%
Uppercase Letter
ValueCountFrequency (%)
A 222
22.4%
C 189
19.0%
E 161
16.2%
P 153
15.4%
B 121
12.2%
S 30
 
3.0%
K 24
 
2.4%
N 14
 
1.4%
G 14
 
1.4%
D 10
 
1.0%
Other values (14) 55
 
5.5%
Decimal Number
ValueCountFrequency (%)
1 8731
28.8%
2 4604
15.2%
3 3099
 
10.2%
0 2548
 
8.4%
5 2482
 
8.2%
4 2462
 
8.1%
6 1904
 
6.3%
7 1774
 
5.8%
9 1387
 
4.6%
8 1351
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 5621
99.3%
. 23
 
0.4%
@ 8
 
0.1%
· 2
 
< 0.1%
/ 2
 
< 0.1%
: 2
 
< 0.1%
' 1
 
< 0.1%
! 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 8
66.7%
s 2
 
16.7%
g 1
 
8.3%
k 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 6274
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 6274
> 99.9%
] 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
32291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1048
100.0%
Math Symbol
ValueCountFrequency (%)
~ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116494
58.4%
Common 81951
41.1%
Latin 1008
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 8192
 
7.0%
동 7884
 
6.8%
산 7529
 
6.5%
광 6974
 
6.0%
시 6795
 
5.8%
구 6401
 
5.5%
역 6303
 
5.4%
로 6085
 
5.2%
대 3547
 
3.0%
층 3283
 
2.8%
Other values (468) 53501
45.9%
Latin
ValueCountFrequency (%)
A 222
22.0%
C 189
18.8%
E 161
16.0%
P 153
15.2%
B 121
12.0%
S 30
 
3.0%
K 24
 
2.4%
N 14
 
1.4%
G 14
 
1.4%
D 10
 
1.0%
Other values (20) 70
 
6.9%
Common
ValueCountFrequency (%)
32291
39.4%
1 8731
 
10.7%
( 6274
 
7.7%
) 6274
 
7.7%
, 5621
 
6.9%
2 4604
 
5.6%
3 3099
 
3.8%
0 2548
 
3.1%
5 2482
 
3.0%
4 2462
 
3.0%
Other values (15) 7565
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116494
58.4%
ASCII 82954
41.6%
Number Forms 3
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32291
38.9%
1 8731
 
10.5%
( 6274
 
7.6%
) 6274
 
7.6%
, 5621
 
6.8%
2 4604
 
5.6%
3 3099
 
3.7%
0 2548
 
3.1%
5 2482
 
3.0%
4 2462
 
3.0%
Other values (42) 8568
 
10.3%
Hangul
ValueCountFrequency (%)
부 8192
 
7.0%
동 7884
 
6.8%
산 7529
 
6.5%
광 6974
 
6.0%
시 6795
 
5.8%
구 6401
 
5.5%
역 6303
 
5.4%
로 6085
 
5.2%
대 3547
 
3.0%
층 3283
 
2.8%
Other values (468) 53501
45.9%
None
ValueCountFrequency (%)
· 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%

apvpermymd
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)< 0.1%
Memory size156.2 KiB

dcbymd
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4019
Missing (%)40.2%
Memory size156.2 KiB

clgstdt
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2017-06-15 17:40:47
Maximum2017-06-15 17:40:47
2024-04-18T00:23:37.426899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:23:37.491946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

clgenddt
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:37.564034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row커피숍
ValueCountFrequency (%)
커피숍 1
100.0%
2024-04-18T00:23:37.730219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
커 1
33.3%
피 1
33.3%
숍 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
커 1
33.3%
피 1
33.3%
숍 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
커 1
33.3%
피 1
33.3%
숍 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
커 1
33.3%
피 1
33.3%
숍 1
33.3%

ropnymd
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:37.844124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters12
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row051-123-1234
ValueCountFrequency (%)
051-123-1234 1
100.0%
2024-04-18T00:23:38.047177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3
25.0%
- 2
16.7%
2 2
16.7%
3 2
16.7%
0 1
 
8.3%
5 1
 
8.3%
4 1
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10
83.3%
Dash Punctuation 2
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3
30.0%
2 2
20.0%
3 2
20.0%
0 1
 
10.0%
5 1
 
10.0%
4 1
 
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3
25.0%
- 2
16.7%
2 2
16.7%
3 2
16.7%
0 1
 
8.3%
5 1
 
8.3%
4 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3
25.0%
- 2
16.7%
2 2
16.7%
3 2
16.7%
0 1
 
8.3%
5 1
 
8.3%
4 1
 
8.3%

trdstatenm
Unsupported

REJECTED  UNSUPPORTED 

Missing13
Missing (%)0.1%
Memory size156.2 KiB

dtlstatenm
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
5980 
영업
4008 
영업중
 
9
<NA>
 
3

Length

Max length4
Median length2
Mean length2.0015
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5980
59.8%
영업 4008
40.1%
영업중 9
 
0.1%
<NA> 3
 
< 0.1%

Length

2024-04-18T00:23:38.155698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:23:38.236021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5980
59.8%
영업 4008
40.1%
영업중 9
 
0.1%
na 3
 
< 0.1%

x
Real number (ℝ)

MISSING 

Distinct7252
Distinct (%)75.5%
Missing399
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean388003.28
Minimum179160.99
Maximum407892.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:23:38.319124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179160.99
5-th percentile379874.83
Q1384858.35
median387719.55
Q3391506.66
95-th percentile398136.84
Maximum407892.46
Range228731.47
Interquartile range (IQR)6648.3096

Descriptive statistics

Standard deviation7594.5001
Coefficient of variation (CV)0.019573289
Kurtosis303.5365
Mean388003.28
Median Absolute Deviation (MAD)3066.8664
Skewness-11.809056
Sum3.7252195 × 109
Variance57676432
MonotonicityNot monotonic
2024-04-18T00:23:38.417629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
394606.582838 118
 
1.2%
394015.453851 102
 
1.0%
385717.579204 61
 
0.6%
387443.214568 61
 
0.6%
385031.067292 42
 
0.4%
387612.492814 32
 
0.3%
389173.570969 30
 
0.3%
387613.573156 30
 
0.3%
393787.86262 26
 
0.3%
394153.800755 25
 
0.2%
Other values (7242) 9074
90.7%
(Missing) 399
 
4.0%
ValueCountFrequency (%)
179160.992323618 1
< 0.1%
182315.07497859 1
< 0.1%
189400.704318891 1
< 0.1%
191164.349860721 1
< 0.1%
198259.65357739 1
< 0.1%
204081.282117393 1
< 0.1%
234729.708066 1
< 0.1%
337264.386571192 1
< 0.1%
365121.173596 1
< 0.1%
365157.276407 2
< 0.1%
ValueCountFrequency (%)
407892.460287 1
< 0.1%
407842.679078 1
< 0.1%
407813.335951 1
< 0.1%
407665.640005 1
< 0.1%
407603.019866 1
< 0.1%
407522.570746 1
< 0.1%
407515.749132 1
< 0.1%
407091.120222 1
< 0.1%
407071.768163 1
< 0.1%
407025.985224 1
< 0.1%

y
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing399
Missing (%)4.0%
Memory size156.2 KiB

lastmodts
Real number (ℝ)

Distinct8032
Distinct (%)80.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.0109652 × 1013
Minimum1.9990205 × 1013
Maximum2.0181019 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:23:38.515004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990205 × 1013
5-th percentile2.0000201 × 1013
Q12.0040618 × 1013
median2.0130717 × 1013
Q32.0170406 × 1013
95-th percentile2.0180625 × 1013
Maximum2.0181019 × 1013
Range1.9081411 × 1011
Interquartile range (IQR)1.2978811 × 1011

Descriptive statistics

Standard deviation6.4739421 × 1010
Coefficient of variation (CV)0.0032193208
Kurtosis-1.2210432
Mean2.0109652 × 1013
Median Absolute Deviation (MAD)4.0403988 × 1010
Skewness-0.55065203
Sum2.0103619 × 1017
Variance4.1911927 × 1021
MonotonicityNot monotonic
2024-04-18T00:23:38.622962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020228000000 104
 
1.0%
20010803000000 67
 
0.7%
19990318000000 62
 
0.6%
20020110000000 56
 
0.6%
20020827000000 56
 
0.6%
20010823000000 49
 
0.5%
19990317000000 45
 
0.4%
20011220000000 41
 
0.4%
19990319000000 39
 
0.4%
20011221000000 36
 
0.4%
Other values (8022) 9442
94.4%
ValueCountFrequency (%)
19990205000000 1
 
< 0.1%
19990211000000 1
 
< 0.1%
19990225000000 1
 
< 0.1%
19990226000000 1
 
< 0.1%
19990303000000 10
0.1%
19990304000000 6
 
0.1%
19990305000000 20
0.2%
19990308000000 7
 
0.1%
19990309000000 3
 
< 0.1%
19990310000000 2
 
< 0.1%
ValueCountFrequency (%)
20181019105847 1
< 0.1%
20181019105634 1
< 0.1%
20181019104536 1
< 0.1%
20181019104150 1
< 0.1%
20181019103921 1
< 0.1%
20181018115029 1
< 0.1%
20181018112031 1
< 0.1%
20181017121857 1
< 0.1%
20181017120209 1
< 0.1%
20181017091555 1
< 0.1%

uptaenm
Categorical

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
커피숍
2207 
다방
1554 
일반조리판매
1494 
기타 휴게음식점
1311 
과자점
1056 
Other values (31)
2378 

Length

Max length10
Median length8
Mean length4.0488
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row일반조리판매
2nd row다방
3rd row커피숍
4th row과자점
5th row일반조리판매

Common Values

ValueCountFrequency (%)
커피숍 2207
22.1%
다방 1554
15.5%
일반조리판매 1494
14.9%
기타 휴게음식점 1311
13.1%
과자점 1056
10.6%
패스트푸드 639
 
6.4%
한식 566
 
5.7%
경양식 213
 
2.1%
편의점 209
 
2.1%
푸드트럭 102
 
1.0%
Other values (26) 649
 
6.5%

Length

2024-04-18T00:23:38.730858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 2207
19.5%
다방 1554
13.7%
일반조리판매 1494
13.2%
기타 1382
12.2%
휴게음식점 1311
11.6%
과자점 1056
9.3%
패스트푸드 639
 
5.6%
한식 566
 
5.0%
경양식 213
 
1.9%
편의점 209
 
1.8%
Other values (26) 680
 
6.0%

sitetel
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
051-123-1234
9997 
<NA>
 
3

Length

Max length12
Median length12
Mean length11.9976
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-123-1234
2nd row051-123-1234
3rd row051-123-1234
4th row051-123-1234
5th row051-123-1234

Common Values

ValueCountFrequency (%)
051-123-1234 9997
> 99.9%
<NA> 3
 
< 0.1%

Length

2024-04-18T00:23:38.828861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:23:38.911105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-123-1234 9997
> 99.9%
na 3
 
< 0.1%

stroomcnt
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:38.988931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row상수도전용
ValueCountFrequency (%)
상수도전용 1
100.0%
2024-04-18T00:23:39.186513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

bdngownsenm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

bdngsrvnm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

cnstyarea
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

fctyowkepcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB

fctypdtjobepcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB

fctysiljobepcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB

wtrsplyfacilsenm
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5328 
상수도전용
4634 
지하수전용
 
14
간이상수도
 
13
상수도(음용)지하수(주방용)겸용
 
8
Other values (2)
 
3

Length

Max length19
Median length4
Mean length4.4792
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5328
53.3%
상수도전용 4634
46.3%
지하수전용 14
 
0.1%
간이상수도 13
 
0.1%
상수도(음용)지하수(주방용)겸용 8
 
0.1%
전용상수도(특정시설의 자가용 수도) 2
 
< 0.1%
Y 1
 
< 0.1%

Length

2024-04-18T00:23:39.282352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:23:39.376458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5328
53.3%
상수도전용 4634
46.3%
지하수전용 14
 
0.1%
간이상수도 13
 
0.1%
상수도(음용)지하수(주방용)겸용 8
 
0.1%
전용상수도(특정시설의 2
 
< 0.1%
자가용 2
 
< 0.1%
수도 2
 
< 0.1%
y 1
 
< 0.1%

svnsr
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

plninsurstdt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

plninsurenddt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

maneipcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6534
Missing (%)65.3%
Memory size156.2 KiB

playutscntdtl
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

playfacilcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

multusnupsoyn
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Memory size97.7 KiB
False
9772 
True
 
225
(Missing)
 
3
ValueCountFrequency (%)
False 9772
97.7%
True 225
 
2.2%
(Missing) 3
 
< 0.1%
2024-04-18T00:23:39.454255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

lvsenm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6131 
기타
3147 
자율
710 
우수
 
7
지도
 
4

Length

Max length4
Median length4
Mean length3.2261
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6131
61.3%
기타 3147
31.5%
자율 710
 
7.1%
우수 7
 
0.1%
지도 4
 
< 0.1%
갑 1
 
< 0.1%

Length

2024-04-18T00:23:39.529331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:23:39.608407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6131
61.3%
기타 3147
31.5%
자율 710
 
7.1%
우수 7
 
0.1%
지도 4
 
< 0.1%
갑 1
 
< 0.1%

stagear
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

culwrkrsenm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9995 
관광사업
 
5

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> 9995
> 99.9%
관광사업 5
 
0.1%

Length

2024-04-18T00:23:39.689508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:23:39.756362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9995
> 99.9%
관광사업 5
 
< 0.1%

culphyedcobnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9987 
외국인전용유흥음식점업
 
13

Length

Max length11
Median length4
Mean length4.0091
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> 9987
99.9%
외국인전용유흥음식점업 13
 
0.1%

Length

2024-04-18T00:23:39.831774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:23:39.903867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9987
99.9%
외국인전용유흥음식점업 13
 
0.1%

geicpfacilen
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

bcfacilen
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

isream
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB

insurorgnm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

insurstdt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

insurenddt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

hoffepcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9995
Missing (%)> 99.9%
Memory size156.2 KiB

afc
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

shpinfo
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

shpcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

shptottons
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

facilscp
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:39.982287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters12
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row135
2nd row109
3rd row109
4th row135
ValueCountFrequency (%)
135 2
50.0%
109 2
50.0%
2024-04-18T00:23:40.161925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4
33.3%
3 2
16.7%
5 2
16.7%
0 2
16.7%
9 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4
33.3%
3 2
16.7%
5 2
16.7%
0 2
16.7%
9 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 12
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4
33.3%
3 2
16.7%
5 2
16.7%
0 2
16.7%
9 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4
33.3%
3 2
16.7%
5 2
16.7%
0 2
16.7%
9 2
16.7%

facilar
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:40.247755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.75
Min length3

Characters and Unicode

Total characters15
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row135
2nd row109
3rd row109.26
4th row135
ValueCountFrequency (%)
135 2
50.0%
109 1
25.0%
109.26 1
25.0%
2024-04-18T00:23:40.424595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4
26.7%
3 2
13.3%
5 2
13.3%
0 2
13.3%
9 2
13.3%
. 1
 
6.7%
2 1
 
6.7%
6 1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14
93.3%
Other Punctuation 1
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4
28.6%
3 2
14.3%
5 2
14.3%
0 2
14.3%
9 2
14.3%
2 1
 
7.1%
6 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4
26.7%
3 2
13.3%
5 2
13.3%
0 2
13.3%
9 2
13.3%
. 1
 
6.7%
2 1
 
6.7%
6 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4
26.7%
3 2
13.3%
5 2
13.3%
0 2
13.3%
9 2
13.3%
. 1
 
6.7%
2 1
 
6.7%
6 1
 
6.7%

faciltotscp
Unsupported

REJECTED  UNSUPPORTED 

Missing15
Missing (%)0.1%
Memory size156.2 KiB

infoben
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

wmeipcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6502
Missing (%)65.0%
Memory size156.2 KiB

engstntrnmnm
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:40.521933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6
Min length5

Characters and Unicode

Total characters18
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowMONIKA
2nd rowANGELES
3rd rowdffff
ValueCountFrequency (%)
monika 1
33.3%
angeles 1
33.3%
dffff 1
33.3%
2024-04-18T00:23:40.718796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 4
22.2%
N 2
11.1%
A 2
11.1%
E 2
11.1%
M 1
 
5.6%
O 1
 
5.6%
I 1
 
5.6%
K 1
 
5.6%
G 1
 
5.6%
L 1
 
5.6%
Other values (2) 2
11.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 13
72.2%
Lowercase Letter 5
 
27.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 2
15.4%
A 2
15.4%
E 2
15.4%
M 1
7.7%
O 1
7.7%
I 1
7.7%
K 1
7.7%
G 1
7.7%
L 1
7.7%
S 1
7.7%
Lowercase Letter
ValueCountFrequency (%)
f 4
80.0%
d 1
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 4
22.2%
N 2
11.1%
A 2
11.1%
E 2
11.1%
M 1
 
5.6%
O 1
 
5.6%
I 1
 
5.6%
K 1
 
5.6%
G 1
 
5.6%
L 1
 
5.6%
Other values (2) 2
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 4
22.2%
N 2
11.1%
A 2
11.1%
E 2
11.1%
M 1
 
5.6%
O 1
 
5.6%
I 1
 
5.6%
K 1
 
5.6%
G 1
 
5.6%
L 1
 
5.6%
Other values (2) 2
11.1%

engstntrnmaddr
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:40.829644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length37
Mean length37
Min length37

Characters and Unicode

Total characters74
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA PLEASURE RESTAURANT FOR A FOREIGNER
2nd rowA PLEASURE RESTAURANT FOR A FOREIGNER
ValueCountFrequency (%)
a 4
33.3%
pleasure 2
16.7%
restaurant 2
16.7%
for 2
16.7%
foreigner 2
16.7%
2024-04-18T00:23:41.272589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
R 12
16.2%
A 10
13.5%
10
13.5%
E 10
13.5%
S 4
 
5.4%
U 4
 
5.4%
T 4
 
5.4%
N 4
 
5.4%
F 4
 
5.4%
O 4
 
5.4%
Other values (4) 8
10.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 64
86.5%
Space Separator 10
 
13.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 12
18.8%
A 10
15.6%
E 10
15.6%
S 4
 
6.2%
U 4
 
6.2%
T 4
 
6.2%
N 4
 
6.2%
F 4
 
6.2%
O 4
 
6.2%
P 2
 
3.1%
Other values (3) 6
9.4%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 64
86.5%
Common 10
 
13.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 12
18.8%
A 10
15.6%
E 10
15.6%
S 4
 
6.2%
U 4
 
6.2%
T 4
 
6.2%
N 4
 
6.2%
F 4
 
6.2%
O 4
 
6.2%
P 2
 
3.1%
Other values (3) 6
9.4%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
R 12
16.2%
A 10
13.5%
10
13.5%
E 10
13.5%
S 4
 
5.4%
U 4
 
5.4%
T 4
 
5.4%
N 4
 
5.4%
F 4
 
5.4%
O 4
 
5.4%
Other values (4) 8
10.8%

trdpjubnsenm
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5784 
기타
3528 
주택가주변
 
353
아파트지역
 
152
유흥업소밀집지역
 
130
Other values (3)
 
53

Length

Max length8
Median length4
Mean length3.4174
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5784
57.8%
기타 3528
35.3%
주택가주변 353
 
3.5%
아파트지역 152
 
1.5%
유흥업소밀집지역 130
 
1.3%
학교정화(상대) 34
 
0.3%
학교정화(절대) 12
 
0.1%
결혼예식장주변 7
 
0.1%

Length

2024-04-18T00:23:41.375043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:23:41.464740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5784
57.8%
기타 3528
35.3%
주택가주변 353
 
3.5%
아파트지역 152
 
1.5%
유흥업소밀집지역 130
 
1.3%
학교정화(상대 34
 
0.3%
학교정화(절대 12
 
0.1%
결혼예식장주변 7
 
0.1%

monam
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB

sntuptaenm
Categorical

Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
커피숍
2207 
다방
1554 
일반조리판매
1494 
기타 휴게음식점
1311 
과자점
1056 
Other values (31)
2378 

Length

Max length10
Median length8
Mean length4.0488
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row일반조리판매
2nd row다방
3rd row커피숍
4th row과자점
5th row일반조리판매

Common Values

ValueCountFrequency (%)
커피숍 2207
22.1%
다방 1554
15.5%
일반조리판매 1494
14.9%
기타 휴게음식점 1311
13.1%
과자점 1056
10.6%
패스트푸드 639
 
6.4%
한식 566
 
5.7%
경양식 213
 
2.1%
편의점 209
 
2.1%
푸드트럭 102
 
1.0%
Other values (26) 649
 
6.5%

Length

2024-04-18T00:23:41.569008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 2207
19.5%
다방 1554
13.7%
일반조리판매 1494
13.2%
기타 1382
12.2%
휴게음식점 1311
11.6%
과자점 1056
9.3%
패스트푸드 639
 
5.6%
한식 566
 
5.0%
경양식 213
 
1.9%
편의점 209
 
1.8%
Other values (26) 680
 
6.0%

dispenen
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

capt
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:41.667958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters32
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row50000000
2nd row50000000
3rd row20000000
4th row70000000
ValueCountFrequency (%)
50000000 2
50.0%
20000000 1
25.0%
70000000 1
25.0%
2024-04-18T00:23:41.846706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
87.5%
5 2
 
6.2%
2 1
 
3.1%
7 1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
87.5%
5 2
 
6.2%
2 1
 
3.1%
7 1
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
87.5%
5 2
 
6.2%
2 1
 
3.1%
7 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
87.5%
5 2
 
6.2%
2 1
 
3.1%
7 1
 
3.1%

jtupsomainedf
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:41.930424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row전통차
ValueCountFrequency (%)
전통차 1
100.0%
2024-04-18T00:23:42.103929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 1
33.3%
통 1
33.3%
차 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1
33.3%
통 1
33.3%
차 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1
33.3%
통 1
33.3%
차 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 1
33.3%
통 1
33.3%
차 1
33.3%

jtupsoasgnno
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:42.162603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row2
ValueCountFrequency (%)
2 1
100.0%
2024-04-18T00:23:42.299389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1
100.0%

mnfactreartclcn
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

chaircnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

nearenvnm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

jisgnumlay
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:42.388343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length1
Mean length7
Min length1

Characters and Unicode

Total characters21
Distinct characters10
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row6
2nd row2020-12-22 14:03:25
3rd row6
ValueCountFrequency (%)
6 2
50.0%
2020-12-22 1
25.0%
14:03:25 1
25.0%
2024-04-18T00:23:42.583243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
28.6%
0 3
14.3%
6 2
 
9.5%
- 2
 
9.5%
1 2
 
9.5%
: 2
 
9.5%
1
 
4.8%
4 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16
76.2%
Dash Punctuation 2
 
9.5%
Other Punctuation 2
 
9.5%
Space Separator 1
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
37.5%
0 3
18.8%
6 2
 
12.5%
1 2
 
12.5%
4 1
 
6.2%
3 1
 
6.2%
5 1
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
: 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
28.6%
0 3
14.3%
6 2
 
9.5%
- 2
 
9.5%
1 2
 
9.5%
: 2
 
9.5%
1
 
4.8%
4 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
28.6%
0 3
14.3%
6 2
 
9.5%
- 2
 
9.5%
1 2
 
9.5%
: 2
 
9.5%
1
 
4.8%
4 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%

regnsenm
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:42.683800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일반상업지역
ValueCountFrequency (%)
일반상업지역 1
100.0%
2024-04-18T00:23:42.891295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

undernumlay
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:42.946769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
ValueCountFrequency (%)
1 2
100.0%
2024-04-18T00:23:43.080549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2
100.0%

totepnum
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

totnumlay
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:23:43.136894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
ValueCountFrequency (%)
6 2
100.0%
2024-04-18T00:23:43.271817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 2
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 2
100.0%

homepage
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

meetsamtimesygstf
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

last_load_dttm
Date

Distinct8
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
Minimum2020-12-22 14:03:24
Maximum2020-12-22 14:03:31
2024-04-18T00:23:43.351748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:23:43.431179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

Sample

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelstroomcntbdngownsenmbdngsrvnmcnstyareafctyowkepcntfctypdtjobepcntfctysiljobepcntwtrsplyfacilsenmsvnsrplninsurstdtplninsurenddtmaneipcntplayutscntdtlplayfacilcntmultusnupsoynlvsenmstagearculwrkrsenmculphyedcobnmgeicpfacilenbcfacilenisreaminsurorgnminsurstdtinsurenddthoffepcntafcshpinfoshpcntshptottonsfacilscpfacilarfaciltotscpinfobenwmeipcntengstntrnmnmengstntrnmaddrtrdpjubnsenmmonamsntuptaenmdispenencaptjtupsomainedfjtupsoasgnnomnfactreartclcnchaircntnearenvnmjisgnumlayregnsenmundernumlaytotepnumtotnumlayhomepagemeetsamtimesygstflast_load_dttm
119931198733300003330000-104-2013-0012807_24_05_PI2018-08-31 23:59:59.0<NA>(주)호봉푸드시스템612020부산광역시 해운대구 우동 1496번지 롯데백화점센텀시티점 지하48058부산광역시 해운대구 센텀남대로 59 (우동)2013103120140124.0<NA><NA><NA>2.0폐업394153.800755188019.1008610000020131106173854일반조리판매051-123-1234<NA><NA><NA><NA>NaNNaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N자율<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>26.45<NA>NaN<NA><NA>기타NaN일반조리판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:27
6350634432900003290000-104-1995-0545507_24_05_PI2018-08-31 23:59:59.0<NA>라일락614850부산광역시 부산진구 부전동 522-43번지48947<NA>19950424.020011222<NA><NA><NA>02폐업387455.966758186042.29062720020117000000다방051-123-1234<NA><NA><NA><NA>NaNNaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N기타<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>50.5<NA>NaN<NA><NA>기타NaN다방<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:25
206842067234000003400000-104-2012-0000507_24_05_PI2018-08-31 23:59:59.0<NA>루<NA>부산광역시 기장군 정관읍 모전리 689-18번지 1층46008부산광역시 기장군 정관읍 모전1길 68, 1층2012051120131007.0<NA><NA><NA>2폐업397395.000586206639.78182220120525135408커피숍051-123-1234<NA><NA><NA><NA>NaNNaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>56.0<NA>NaN<NA><NA><NA>NaN커피숍<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:30
172161721233700003370000-104-1984-0181607_24_05_PI2018-08-31 23:59:59.0<NA>로얄제과611836부산광역시 연제구 연산동 2133-12번지48947<NA>1984012120040915.0<NA><NA><NA>2폐업390736.304797188432.46554219990317000000과자점051-123-1234<NA><NA><NA><NA>NaNNaNNaN<NA><NA><NA><NA>0.0<NA><NA>N기타<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>14.87<NA>0.0<NA><NA>기타NaN과자점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:28
169321692933700003370000-104-2012-0000707_24_05_PI2018-08-31 23:59:59.0<NA>스무디킹611811부산광역시 연제구 연산동 105-1번지 홈플러스부산연산점 1층 일부47552부산광역시 연제구 반송로 88 (연산동)20120208NaN<NA><NA><NA>1영업390301.359057190280.42716220120223185106일반조리판매051-123-1234<NA><NA><NA><NA>NaNNaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>50.96<NA>NaN<NA><NA><NA>NaN일반조리판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:28
217352172832500003250000-101-1981-0259007_24_04_PI2018-08-31 23:59:59.0<NA>불잉걸600045부산광역시 중구 남포동5가 3-7번지48947<NA>1981090120051011.0<NA><NA><NA>2폐업385054.158952179599.80422719991124000000경양식051-123-1234<NA><NA><NA><NA>NaNNaNNaN<NA><NA><NA><NA>0.0<NA><NA>N기타<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>57.5<NA>0.0<NA><NA>기타NaN경양식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:30
235852358132500003250000-101-2006-0006607_24_04_PI2018-08-31 23:59:59.0<NA>하동집600044부산광역시 중구 남포동4가 37-1번지 외 1필지 자갈치시장 2층48983부산광역시 중구 자갈치해안로 52, 2층 (남포동4가, 외 1필지 자갈치시장)20061129NaN<NA><NA><NA>1영업385163.367232179700.32627820120312115626회집051-123-1234<NA><NA><NA><NA>NaNNaNNaN<NA><NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>0.0<NA>NaN<NA><NA><NA>NaN회집<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:30
200061799533800003380000-104-2003-0000707_24_05_PI2018-08-31 23:59:59.0<NA>망고613804부산광역시 수영구 광안동 153-42번지 광안비치빌리지 102동 101호48947<NA>2003070120060622.0<NA><NA><NA>2폐업392953.964001186384.01076720030701000000패스트푸드051-123-1234<NA><NA><NA><NA>NaNNaNNaN<NA><NA><NA><NA>0.0<NA><NA>N자율<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>0.0<NA>0.0<NA><NA><NA>NaN패스트푸드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:30
122841227433300003330000-104-2015-0011007_24_05_PI2018-08-31 23:59:59.0<NA>빙짱612020부산광역시 해운대구 우동 1500번지48060부산광역시 해운대구 APEC로 55 (우동, 벡스코제1전시장1층일부)2015072220150727.0<NA><NA><NA>2.0폐업394606.582838187941.1514610000020150727093253기타 휴게음식점051-123-1234<NA><NA><NA><NA>NaNNaNNaN<NA><NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>0.0<NA>NaN<NA><NA><NA>NaN기타 휴게음식점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:27
9425941933200003320000-104-2017-0004707_24_05_PI2018-08-31 23:59:59.0<NA>GS25만덕도서관점616831부산광역시 북구 만덕동 849번지46614부산광역시 북구 은행나무로 15, 1층 (만덕동)20170724NaN<NA><NA><NA>1.0영업385550.126139192080.7820090000020170816132240편의점051-123-1234<NA><NA><NA><NA>NaNNaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>3.57<NA>NaN<NA><NA><NA>NaN편의점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:26
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelstroomcntbdngownsenmbdngsrvnmcnstyareafctyowkepcntfctypdtjobepcntfctysiljobepcntwtrsplyfacilsenmsvnsrplninsurstdtplninsurenddtmaneipcntplayutscntdtlplayfacilcntmultusnupsoynlvsenmstagearculwrkrsenmculphyedcobnmgeicpfacilenbcfacilenisreaminsurorgnminsurstdtinsurenddthoffepcntafcshpinfoshpcntshptottonsfacilscpfacilarfaciltotscpinfobenwmeipcntengstntrnmnmengstntrnmaddrtrdpjubnsenmmonamsntuptaenmdispenencaptjtupsomainedfjtupsoasgnnomnfactreartclcnchaircntnearenvnmjisgnumlayregnsenmundernumlaytotepnumtotnumlayhomepagemeetsamtimesygstflast_load_dttm
6225621932900003290000-104-1997-0591507_24_05_PI2018-08-31 23:59:59.0<NA>파리베이커리614872부산광역시 부산진구 초읍동 180-18번지48947<NA>19970623.019990920<NA><NA><NA>02폐업386877.180647189100.58168620020704000000과자점051-123-1234<NA><NA><NA><NA>NaNNaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N기타<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>27.12<NA>NaN<NA><NA>기타NaN과자점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:25
213502134432500003250000-101-1993-0190007_24_04_PI2018-08-31 23:59:59.0<NA>사랑채600814부산광역시 중구 중앙동4가 25-4번지 (지하1층)48941부산광역시 중구 중앙대로 70, 지하1층 (중앙동4가)1993022620140411.0<NA><NA><NA>2폐업385711.686142180510.21652920120309102712한식051-123-1234<NA><NA><NA><NA>NaNNaNNaN<NA><NA><NA><NA>0.0<NA><NA>N기타<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>116.9<NA>0.0<NA><NA>기타NaN한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:30
7206720633000003300000-104-1999-0077907_24_05_PI2018-08-31 23:59:59.0<NA>세원커피숍607835부산광역시 동래구 온천동 502-3번지48947<NA>19990312.020000814<NA><NA><NA>02폐업389170.392207192570.83335920000814000000다방051-123-1234<NA><NA><NA><NA>NaNNaNNaN<NA><NA><NA><NA>0<NA><NA>N기타<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>0<NA>0<NA><NA>기타NaN다방<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:25
174321743533700003370000-104-2016-0005407_24_05_PI2018-08-31 23:59:59.0<NA>GS25 토곡양지점611818부산광역시 연제구 연산동 417-1번지47558부산광역시 연제구 과정로191번길 39, 1층 (연산동)20161108NaN<NA><NA><NA>1영업391875.348144189765.1749620161114170315기타 휴게음식점051-123-1234<NA><NA><NA><NA>NaNNaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>1.37<NA>NaN<NA><NA><NA>NaN기타 휴게음식점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:28
5197519132900003290000-104-1970-0617907_24_05_PI2018-08-31 23:59:59.0<NA>삼화614833부산광역시 부산진구 범천동 1298-142번지48947<NA>19700304.020020523<NA><NA><NA>02폐업387356.455052184950.36887520010814000000다방051-123-1234<NA><NA><NA><NA>NaNNaNNaN상수도전용<NA><NA><NA>0<NA><NA>N기타<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>100<NA>0<NA><NA>기타NaN다방<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:25
138751387333400003340000-104-2015-0003707_24_05_PI2018-08-31 23:59:59.0<NA>쓰리팝(3POP)604829부산광역시 사하구 당리동 303-7번지49326부산광역시 사하구 낙동대로 464 (당리동)20150730NaN<NA><NA><NA>1.0영업379512.709077180647.3160820000020180330133648커피숍051-123-1234<NA><NA><NA><NA>NaNNaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>9.89<NA>NaN<NA><NA>주택가주변NaN커피숍<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:28
5689568032900003290000-104-2017-0018607_24_05_PI2018-08-31 23:59:59.0<NA>라푼젤카페9614872부산광역시 부산진구 초읍동 175-18번지 지상1층47125부산광역시 부산진구 성지로 123, 지상1층 (초읍동)20171016.0NaN<NA><NA><NA>01영업386802.779288189048.25223720171109094059커피숍051-123-1234<NA><NA><NA><NA>NaNNaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>16.3<NA>NaN<NA><NA><NA>NaN커피숍<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:25
212722126432500003250000-101-1984-0164507_24_04_PI2018-08-31 23:59:59.0<NA>동해반점600015부산광역시 중구 중앙동5가 24-2번지 (1층)48943부산광역시 중구 대교로 131, 1층 (중앙동5가)1984061520120321.0<NA><NA><NA>2폐업385778.056233180300.11058220120314141545한식051-123-1234<NA><NA><NA><NA>NaNNaNNaN<NA><NA><NA><NA>0.0<NA><NA>N기타<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>17.88<NA>0.0<NA><NA>기타NaN한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:30
1728172732600003260000-104-2015-0001907_24_05_PI2018-08-31 23:59:59.0<NA>더벤티고신대학병원점602830부산광역시 서구 암남동 64-1번지 삼성비치타운(1층) 108호49265부산광역시 서구 감천로 261, 1층 108호 (암남동, 삼성비치타운)20150721.0NaN<NA><NA><NA>01영업383907.913241177988.98325120151118100617커피숍051-123-1234<NA><NA><NA><NA>NaNNaNNaN<NA><NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>20.07<NA>NaN<NA><NA><NA>NaN커피숍<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:24
164741647133600003360000-104-2014-0000107_24_05_PI2018-08-31 23:59:59.0<NA>커피딥스(COFFEE DEEPS)618230부산광역시 강서구 지사동 1184-1번지 금강펜테리움 상가 B동 112호46743부산광역시 강서구 과학산단2로20번길 69, B동 112호 (지사동)2014020720140529.0<NA><NA><NA>2폐업367585.061894185605.7096820140207101308커피숍051-123-1234<NA><NA><NA><NA>NaNNaNNaN<NA><NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>45.41<NA>NaN<NA><NA><NA>NaN커피숍<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 14:03:28