Overview

Dataset statistics

Number of variables79
Number of observations10000
Missing cells491605
Missing cells (%)62.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 MiB
Average record size in memory645.0 B

Variable types

Unsupported14
Numeric5
Text45
Categorical14
Boolean1

Alerts

bdngownsenm has constant value ""Constant
bdngsrvnm has constant value ""Constant
svnsr has constant value ""Constant
plninsurstdt has constant value ""Constant
plninsurenddt has constant value ""Constant
playutscntdtl has constant value ""Constant
playfacilcnt has constant value ""Constant
stagear has constant value ""Constant
geicpfacilen has constant value ""Constant
bcfacilen has constant value ""Constant
insurorgnm has constant value ""Constant
insurstdt has constant value ""Constant
insurenddt has constant value ""Constant
shpinfo has constant value ""Constant
shptottons has constant value ""Constant
infoben has constant value ""Constant
dispenen has constant value ""Constant
mnfactreartclcn has constant value ""Constant
chaircnt has constant value ""Constant
totepnum has constant value ""Constant
homepage has constant value ""Constant
meetsamtimesygstf has constant value ""Constant
opnsvcid is highly imbalanced (76.3%)Imbalance
updategbn is highly imbalanced (99.2%)Imbalance
updatedt is highly imbalanced (98.6%)Imbalance
dtlstatenm is highly imbalanced (50.7%)Imbalance
sitetel is highly imbalanced (99.5%)Imbalance
fctyowkepcnt is highly imbalanced (99.5%)Imbalance
wtrsplyfacilsenm is highly imbalanced (65.5%)Imbalance
multusnupsoyn is highly imbalanced (83.6%)Imbalance
lvsenm is highly imbalanced (55.6%)Imbalance
culwrkrsenm is highly imbalanced (99.5%)Imbalance
culphyedcobnm is highly imbalanced (99.1%)Imbalance
trdpjubnsenm is highly imbalanced (56.1%)Imbalance
opnsvcnm has 9984 (99.8%) missing valuesMissing
sitepostno has 151 (1.5%) missing valuesMissing
rdnwhladdr has 3622 (36.2%) missing valuesMissing
dcbymd has 4042 (40.4%) missing valuesMissing
clgstdt has 9997 (> 99.9%) missing valuesMissing
clgenddt has 9997 (> 99.9%) missing valuesMissing
ropnymd has 9997 (> 99.9%) missing valuesMissing
x has 421 (4.2%) missing valuesMissing
y has 420 (4.2%) missing valuesMissing
stroomcnt has 9997 (> 99.9%) missing valuesMissing
bdngownsenm has 9999 (> 99.9%) missing valuesMissing
bdngsrvnm has 9999 (> 99.9%) missing valuesMissing
cnstyarea has 9998 (> 99.9%) missing valuesMissing
fctypdtjobepcnt has 9993 (99.9%) missing valuesMissing
fctysiljobepcnt has 9993 (99.9%) missing valuesMissing
svnsr has 9999 (> 99.9%) missing valuesMissing
plninsurstdt has 9999 (> 99.9%) missing valuesMissing
plninsurenddt has 9999 (> 99.9%) missing valuesMissing
maneipcnt has 6523 (65.2%) missing valuesMissing
playutscntdtl has 9999 (> 99.9%) missing valuesMissing
playfacilcnt has 9999 (> 99.9%) missing valuesMissing
stagear has 9999 (> 99.9%) missing valuesMissing
geicpfacilen has 9999 (> 99.9%) missing valuesMissing
bcfacilen has 9999 (> 99.9%) missing valuesMissing
isream has 9992 (99.9%) missing valuesMissing
insurorgnm has 9999 (> 99.9%) missing valuesMissing
insurstdt has 9999 (> 99.9%) missing valuesMissing
insurenddt has 9999 (> 99.9%) missing valuesMissing
hoffepcnt has 9991 (99.9%) missing valuesMissing
afc has 9998 (> 99.9%) missing valuesMissing
shpinfo has 9999 (> 99.9%) missing valuesMissing
shpcnt has 9998 (> 99.9%) missing valuesMissing
shptottons has 9999 (> 99.9%) missing valuesMissing
facilscp has 9996 (> 99.9%) missing valuesMissing
facilar has 9996 (> 99.9%) missing valuesMissing
infoben has 9999 (> 99.9%) missing valuesMissing
wmeipcnt has 6492 (64.9%) missing valuesMissing
engstntrnmnm has 9996 (> 99.9%) missing valuesMissing
engstntrnmaddr has 9997 (> 99.9%) missing valuesMissing
monam has 9993 (99.9%) missing valuesMissing
dispenen has 9999 (> 99.9%) missing valuesMissing
capt has 9997 (> 99.9%) missing valuesMissing
jtupsomainedf has 9998 (> 99.9%) missing valuesMissing
jtupsoasgnno has 9998 (> 99.9%) missing valuesMissing
mnfactreartclcn has 9999 (> 99.9%) missing valuesMissing
chaircnt has 9999 (> 99.9%) missing valuesMissing
nearenvnm has 9998 (> 99.9%) missing valuesMissing
jisgnumlay has 9996 (> 99.9%) missing valuesMissing
regnsenm has 9998 (> 99.9%) missing valuesMissing
undernumlay has 9998 (> 99.9%) missing valuesMissing
totepnum has 9999 (> 99.9%) missing valuesMissing
totnumlay has 9998 (> 99.9%) missing valuesMissing
homepage has 9999 (> 99.9%) missing valuesMissing
meetsamtimesygstf has 9999 (> 99.9%) missing valuesMissing
opnsfteamcode is highly skewed (γ1 = 76.08471226)Skewed
sitepostno is highly skewed (γ1 = -24.03382862)Skewed
rdnpostno is highly skewed (γ1 = 99.99499987)Skewed
skey is an unsupported type, check if it needs cleaning or further analysisUnsupported
opnsvcnm 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
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
maneipcnt 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
hoffepcnt 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
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

Reproduction

Analysis started2024-04-17 15:14:09.797792
Analysis finished2024-04-17 15:14:12.429056
Duration2.63 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)

SKEWED 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3317347.4
Minimum606820
Maximum20140605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:14:12.477731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum606820
5-th percentile3250000
Q13280000
median3310000
Q33350000
95-th percentile3390000
Maximum20140605
Range19533785
Interquartile range (IQR)70000

Descriptive statistics

Standard deviation184330.48
Coefficient of variation (CV)0.055565624
Kurtosis6957.389
Mean3317347.4
Median Absolute Deviation (MAD)40000
Skewness76.084712
Sum3.3173474 × 1010
Variance3.3977726 × 1010
MonotonicityNot monotonic
2024-04-18T00:14:12.575979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3250000 1684
16.8%
3290000 1210
12.1%
3330000 1191
11.9%
3300000 725
 
7.2%
3350000 628
 
6.3%
3390000 571
 
5.7%
3310000 537
 
5.4%
3380000 517
 
5.2%
3340000 514
 
5.1%
3320000 495
 
5.0%
Other values (21) 1928
19.3%
ValueCountFrequency (%)
606820 2
 
< 0.1%
3070000 1
 
< 0.1%
3130000 1
 
< 0.1%
3180000 1
 
< 0.1%
3250000 1684
16.8%
3260000 277
 
2.8%
3270000 388
 
3.9%
3280000 254
 
2.5%
3290000 1210
12.1%
3300000 725
7.2%
ValueCountFrequency (%)
20140605 1
< 0.1%
5670000 1
< 0.1%
5540000 1
< 0.1%
5380000 1
< 0.1%
5350000 1
< 0.1%
4090000 1
< 0.1%
3990000 1
< 0.1%
3940000 1
< 0.1%
3740000 1
< 0.1%
3660000 2
< 0.1%

mgtno
Text

Distinct9998
Distinct (%)> 99.9%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-18T00:14:12.770188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length21.999
Min length20

Characters and Unicode

Total characters219968
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

Unique9997 ?
Unique (%)> 99.9%

Sample

1st row3300000-104-1994-00668
2nd row3250000-104-2010-00011
3rd row3390000-104-1997-02922
4th row3250000-101-1986-01629
5th row3250000-101-2011-00003
ValueCountFrequency (%)
cdfi3261032010000001 2
 
< 0.1%
청학동 2
 
< 0.1%
부산광역시 2
 
< 0.1%
영도구 2
 
< 0.1%
148-121번지 2
 
< 0.1%
3250000-101-1995-01319 1
 
< 0.1%
3290000-104-1982-05733 1
 
< 0.1%
3380000-104-2004-00014 1
 
< 0.1%
3250000-101-1999-02889 1
 
< 0.1%
3330000-104-2017-00353 1
 
< 0.1%
Other values (9992) 9992
99.9%
2024-04-18T00:14:13.047533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86475
39.3%
- 29960
 
13.6%
1 25253
 
11.5%
3 20913
 
9.5%
2 15686
 
7.1%
4 13391
 
6.1%
9 9288
 
4.2%
5 5915
 
2.7%
8 4707
 
2.1%
7 4325
 
2.0%
Other values (21) 4055
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189925
86.3%
Dash Punctuation 29960
 
13.6%
Uppercase Letter 44
 
< 0.1%
Other Letter 28
 
< 0.1%
Space Separator 10
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2
 
7.1%
층 2
 
7.1%
지 2
 
7.1%
번 2
 
7.1%
동 2
 
7.1%
학 2
 
7.1%
청 2
 
7.1%
부 2
 
7.1%
도 2
 
7.1%
영 2
 
7.1%
Other values (4) 8
28.6%
Decimal Number
ValueCountFrequency (%)
0 86475
45.5%
1 25253
 
13.3%
3 20913
 
11.0%
2 15686
 
8.3%
4 13391
 
7.1%
9 9288
 
4.9%
5 5915
 
3.1%
8 4707
 
2.5%
7 4325
 
2.3%
6 3972
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
D 11
25.0%
C 11
25.0%
I 11
25.0%
F 11
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 29960
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 219896
> 99.9%
Latin 44
 
< 0.1%
Hangul 28
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2
 
7.1%
층 2
 
7.1%
지 2
 
7.1%
번 2
 
7.1%
동 2
 
7.1%
학 2
 
7.1%
청 2
 
7.1%
부 2
 
7.1%
도 2
 
7.1%
영 2
 
7.1%
Other values (4) 8
28.6%
Common
ValueCountFrequency (%)
0 86475
39.3%
- 29960
 
13.6%
1 25253
 
11.5%
3 20913
 
9.5%
2 15686
 
7.1%
4 13391
 
6.1%
9 9288
 
4.2%
5 5915
 
2.7%
8 4707
 
2.1%
7 4325
 
2.0%
Other values (3) 3983
 
1.8%
Latin
ValueCountFrequency (%)
D 11
25.0%
C 11
25.0%
I 11
25.0%
F 11
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219940
> 99.9%
Hangul 28
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86475
39.3%
- 29960
 
13.6%
1 25253
 
11.5%
3 20913
 
9.5%
2 15686
 
7.1%
4 13391
 
6.1%
9 9288
 
4.2%
5 5915
 
2.7%
8 4707
 
2.1%
7 4325
 
2.0%
Other values (7) 4027
 
1.8%
Hangul
ValueCountFrequency (%)
구 2
 
7.1%
층 2
 
7.1%
지 2
 
7.1%
번 2
 
7.1%
동 2
 
7.1%
학 2
 
7.1%
청 2
 
7.1%
부 2
 
7.1%
도 2
 
7.1%
영 2
 
7.1%
Other values (4) 8
28.6%

opnsvcid
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
07_24_05_P
8770 
07_24_04_P
1216 
07_24_03_P
 
11
49084
 
2
<NA>
 
1

Length

Max length10
Median length10
Mean length9.9984
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row07_24_05_P
2nd row07_24_05_P
3rd row07_24_05_P
4th row07_24_04_P
5th row07_24_04_P

Common Values

ValueCountFrequency (%)
07_24_05_P 8770
87.7%
07_24_04_P 1216
 
12.2%
07_24_03_P 11
 
0.1%
49084 2
 
< 0.1%
<NA> 1
 
< 0.1%

Length

2024-04-18T00:14:13.158268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:13.236061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_24_05_p 8770
87.7%
07_24_04_p 1216
 
12.2%
07_24_03_p 11
 
0.1%
49084 2
 
< 0.1%
na 1
 
< 0.1%

updategbn
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
9983 
U
 
14
부산광역시 영도구 청학동로 16, 1층 (청학동)
 
1
부산광역시 영도구 청학동로 16, 3~4층 (청학동)
 
1
<NA>
 
1

Length

Max length29
Median length1
Mean length1.0057
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 9983
99.8%
U 14
 
0.1%
부산광역시 영도구 청학동로 16, 1층 (청학동) 1
 
< 0.1%
부산광역시 영도구 청학동로 16, 3~4층 (청학동) 1
 
< 0.1%
<NA> 1
 
< 0.1%

Length

2024-04-18T00:14:13.329022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:13.406590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 9983
99.7%
u 14
 
0.1%
부산광역시 2
 
< 0.1%
영도구 2
 
< 0.1%
청학동로 2
 
< 0.1%
16 2
 
< 0.1%
청학동 2
 
< 0.1%
1층 1
 
< 0.1%
3~4층 1
 
< 0.1%
na 1
 
< 0.1%

updatedt
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2018-08-31 23:59:59.0
9965 
2018-09-06 11:43:42.0
 
14
2018-10-21 02:37:41.0
 
6
2018-10-20 02:37:48.0
 
5
2018-10-19 02:37:29.0
 
4
Other values (3)
 
6

Length

Max length21
Median length21
Mean length20.9957
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 9965
99.7%
2018-09-06 11:43:42.0 14
 
0.1%
2018-10-21 02:37:41.0 6
 
0.1%
2018-10-20 02:37:48.0 5
 
0.1%
2018-10-19 02:37:29.0 4
 
< 0.1%
2018-09-06 11:43:28.0 3
 
< 0.1%
20170522 2
 
< 0.1%
<NA> 1
 
< 0.1%

Length

2024-04-18T00:14:13.491844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:13.588125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 9965
49.8%
23:59:59.0 9965
49.8%
2018-09-06 17
 
0.1%
11:43:42.0 14
 
0.1%
2018-10-21 6
 
< 0.1%
02:37:41.0 6
 
< 0.1%
2018-10-20 5
 
< 0.1%
02:37:48.0 5
 
< 0.1%
2018-10-19 4
 
< 0.1%
02:37:29.0 4
 
< 0.1%
Other values (3) 6
 
< 0.1%

opnsvcnm
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9984
Missing (%)99.8%
Memory size156.2 KiB

bplcnm
Text

Distinct8795
Distinct (%)88.0%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2024-04-18T00:14:13.854663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length6.3077616
Min length1

Characters and Unicode

Total characters63065
Distinct characters1047
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8068 ?
Unique (%)80.7%

Sample

1st row피자클럽
2nd row호미빙남포점
3rd row임페리얼 제과점
4th row명동칼국수
5th row썬더치킨
ValueCountFrequency (%)
카페 76
 
0.6%
gs25 67
 
0.5%
롯데리아 40
 
0.3%
미니스톱 37
 
0.3%
커피 36
 
0.3%
씨유 34
 
0.3%
coffee 33
 
0.3%
이디야 29
 
0.2%
cafe 27
 
0.2%
커피숍 27
 
0.2%
Other values (9318) 11873
96.7%
2024-04-18T00:14:14.234003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2298
 
3.6%
점 2006
 
3.2%
스 1883
 
3.0%
피 1430
 
2.3%
이 1317
 
2.1%
커 1205
 
1.9%
리 1175
 
1.9%
) 960
 
1.5%
( 957
 
1.5%
아 741
 
1.2%
Other values (1037) 49093
77.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53388
84.7%
Space Separator 2298
 
3.6%
Uppercase Letter 2174
 
3.4%
Lowercase Letter 2038
 
3.2%
Decimal Number 1030
 
1.6%
Close Punctuation 963
 
1.5%
Open Punctuation 960
 
1.5%
Other Punctuation 175
 
0.3%
Dash Punctuation 26
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other values (4) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2006
 
3.8%
스 1883
 
3.5%
피 1430
 
2.7%
이 1317
 
2.5%
커 1205
 
2.3%
리 1175
 
2.2%
아 741
 
1.4%
산 679
 
1.3%
카 677
 
1.3%
부 644
 
1.2%
Other values (952) 41631
78.0%
Lowercase Letter
ValueCountFrequency (%)
e 353
17.3%
a 236
11.6%
o 210
10.3%
f 173
 
8.5%
c 128
 
6.3%
r 105
 
5.2%
i 104
 
5.1%
s 96
 
4.7%
n 86
 
4.2%
t 84
 
4.1%
Other values (16) 463
22.7%
Uppercase Letter
ValueCountFrequency (%)
C 292
13.4%
S 248
11.4%
G 220
 
10.1%
P 161
 
7.4%
E 122
 
5.6%
A 115
 
5.3%
O 109
 
5.0%
T 108
 
5.0%
B 99
 
4.6%
F 81
 
3.7%
Other values (16) 619
28.5%
Decimal Number
ValueCountFrequency (%)
2 317
30.8%
5 264
25.6%
1 116
 
11.3%
0 78
 
7.6%
3 64
 
6.2%
9 47
 
4.6%
8 43
 
4.2%
7 42
 
4.1%
6 30
 
2.9%
4 29
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 57
32.6%
& 51
29.1%
, 26
14.9%
' 15
 
8.6%
/ 8
 
4.6%
! 6
 
3.4%
: 6
 
3.4%
· 3
 
1.7%
＆ 2
 
1.1%
; 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 960
99.7%
] 3
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 957
99.7%
[ 3
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 4
80.0%
~ 1
 
20.0%
Other Symbol
ValueCountFrequency (%)
� 2
66.7%
° 1
33.3%
Space Separator
ValueCountFrequency (%)
2298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53374
84.6%
Common 5462
 
8.7%
Latin 4215
 
6.7%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2006
 
3.8%
스 1883
 
3.5%
피 1430
 
2.7%
이 1317
 
2.5%
커 1205
 
2.3%
리 1175
 
2.2%
아 741
 
1.4%
산 679
 
1.3%
카 677
 
1.3%
부 644
 
1.2%
Other values (939) 41617
78.0%
Latin
ValueCountFrequency (%)
e 353
 
8.4%
C 292
 
6.9%
S 248
 
5.9%
a 236
 
5.6%
G 220
 
5.2%
o 210
 
5.0%
f 173
 
4.1%
P 161
 
3.8%
c 128
 
3.0%
E 122
 
2.9%
Other values (43) 2072
49.2%
Common
ValueCountFrequency (%)
2298
42.1%
) 960
17.6%
( 957
17.5%
2 317
 
5.8%
5 264
 
4.8%
1 116
 
2.1%
0 78
 
1.4%
3 64
 
1.2%
. 57
 
1.0%
& 51
 
0.9%
Other values (22) 300
 
5.5%
Han
ValueCountFrequency (%)
愛 2
14.3%
花 1
 
7.1%
時 1
 
7.1%
流 1
 
7.1%
眞 1
 
7.1%
羊 1
 
7.1%
神 1
 
7.1%
茶 1
 
7.1%
顔 1
 
7.1%
觀 1
 
7.1%
Other values (3) 3
21.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53372
84.6%
ASCII 9665
 
15.3%
CJK 13
 
< 0.1%
None 7
 
< 0.1%
Number Forms 3
 
< 0.1%
Specials 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2298
23.8%
) 960
 
9.9%
( 957
 
9.9%
e 353
 
3.7%
2 317
 
3.3%
C 292
 
3.0%
5 264
 
2.7%
S 248
 
2.6%
a 236
 
2.4%
G 220
 
2.3%
Other values (69) 3520
36.4%
Hangul
ValueCountFrequency (%)
점 2006
 
3.8%
스 1883
 
3.5%
피 1430
 
2.7%
이 1317
 
2.5%
커 1205
 
2.3%
리 1175
 
2.2%
아 741
 
1.4%
산 679
 
1.3%
카 677
 
1.3%
부 644
 
1.2%
Other values (937) 41615
78.0%
None
ValueCountFrequency (%)
· 3
42.9%
＆ 2
28.6%
₂ 1
 
14.3%
° 1
 
14.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
Specials
ValueCountFrequency (%)
� 2
100.0%
CJK
ValueCountFrequency (%)
愛 2
15.4%
花 1
7.7%
時 1
7.7%
流 1
7.7%
眞 1
7.7%
羊 1
7.7%
神 1
7.7%
顔 1
7.7%
觀 1
7.7%
色 1
7.7%
Other values (2) 2
15.4%
Compat Jamo
ValueCountFrequency (%)
ㅍ 1
50.0%
ㅂ 1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

sitepostno
Real number (ℝ)

MISSING  SKEWED 

Distinct840
Distinct (%)8.5%
Missing151
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean609299.21
Minimum121889
Maximum703848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:14:14.345046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121889
5-th percentile600043
Q1604813
median609845
Q3614814
95-th percentile617838
Maximum703848
Range581959
Interquartile range (IQR)10001

Descriptive statistics

Standard deviation12012.973
Coefficient of variation (CV)0.019716048
Kurtosis851.6184
Mean609299.21
Median Absolute Deviation (MAD)4999
Skewness-24.033829
Sum6.0009879 × 109
Variance1.4431151 × 108
MonotonicityNot monotonic
2024-04-18T00:14:14.442044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612020.0 274
 
2.7%
600045.0 118
 
1.2%
614847.0 107
 
1.1%
609839.0 94
 
0.9%
614845.0 85
 
0.9%
612824.0 80
 
0.8%
600811.0 79
 
0.8%
600046.0 77
 
0.8%
614846.0 74
 
0.7%
604851.0 74
 
0.7%
Other values (830) 8787
87.9%
(Missing) 151
 
1.5%
ValueCountFrequency (%)
121889.0 1
< 0.1%
136705.0 1
< 0.1%
150095.0 1
< 0.1%
302834.0 2
< 0.1%
394015.453851 1
< 0.1%
411857.0 1
< 0.1%
415808.0 1
< 0.1%
442190.0 1
< 0.1%
464873.0 1
< 0.1%
472501.0 1
< 0.1%
ValueCountFrequency (%)
703848.0 1
 
< 0.1%
642832.0 1
 
< 0.1%
626050.0 1
 
< 0.1%
621901.0 1
 
< 0.1%
619953.0 23
0.2%
619952.0 8
 
0.1%
619951.0 17
0.2%
619913.0 8
 
0.1%
619912.0 17
0.2%
619911.0 8
 
0.1%

sitewhladdr
Text

Distinct8462
Distinct (%)84.8%
Missing18
Missing (%)0.2%
Memory size156.2 KiB
2024-04-18T00:14:14.689889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length68
Mean length25.524544
Min length7

Characters and Unicode

Total characters254786
Distinct characters519
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

Unique7715 ?
Unique (%)77.3%

Sample

1st row부산광역시 동래구 사직동 48-14번지
2nd row부산광역시 중구 창선동2가 45-6번지 외 7필지 (2층)
3rd row부산광역시 사상구 감전동 122-27번지
4th row부산광역시 중구 중앙동4가 84-10번지
5th row부산광역시 중구 동광동5가 16-37번지 (1층)
ValueCountFrequency (%)
부산광역시 9965
 
21.6%
중구 1682
 
3.6%
부산진구 1210
 
2.6%
해운대구 1188
 
2.6%
동래구 725
 
1.6%
금정구 628
 
1.4%
1층 591
 
1.3%
우동 573
 
1.2%
사상구 571
 
1.2%
남구 536
 
1.2%
Other values (8505) 28447
61.7%
2024-04-18T00:14:15.072314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45718
17.9%
부 12702
 
5.0%
1 11922
 
4.7%
산 11834
 
4.6%
동 11528
 
4.5%
지 11027
 
4.3%
광 10420
 
4.1%
시 10171
 
4.0%
번 10037
 
3.9%
역 10008
 
3.9%
Other values (509) 109419
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147595
57.9%
Decimal Number 50032
 
19.6%
Space Separator 45718
 
17.9%
Dash Punctuation 8754
 
3.4%
Open Punctuation 801
 
0.3%
Close Punctuation 798
 
0.3%
Other Punctuation 662
 
0.3%
Uppercase Letter 352
 
0.1%
Math Symbol 36
 
< 0.1%
Lowercase Letter 35
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 12702
 
8.6%
산 11834
 
8.0%
동 11528
 
7.8%
지 11027
 
7.5%
광 10420
 
7.1%
시 10171
 
6.9%
번 10037
 
6.8%
역 10008
 
6.8%
구 9876
 
6.7%
가 2378
 
1.6%
Other values (447) 47614
32.3%
Uppercase Letter
ValueCountFrequency (%)
B 98
27.8%
A 74
21.0%
S 29
 
8.2%
C 26
 
7.4%
G 21
 
6.0%
K 20
 
5.7%
D 12
 
3.4%
E 10
 
2.8%
L 10
 
2.8%
T 8
 
2.3%
Other values (13) 44
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 11
31.4%
c 5
14.3%
a 4
 
11.4%
l 4
 
11.4%
b 2
 
5.7%
i 1
 
2.9%
o 1
 
2.9%
n 1
 
2.9%
s 1
 
2.9%
u 1
 
2.9%
Other values (4) 4
 
11.4%
Decimal Number
ValueCountFrequency (%)
1 11922
23.8%
2 7117
14.2%
3 5544
11.1%
4 4769
9.5%
5 4456
 
8.9%
0 4049
 
8.1%
6 3489
 
7.0%
7 3113
 
6.2%
9 2787
 
5.6%
8 2786
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 599
90.5%
. 44
 
6.6%
@ 9
 
1.4%
: 5
 
0.8%
/ 4
 
0.6%
' 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 800
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 797
99.9%
] 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
45718
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8754
100.0%
Math Symbol
ValueCountFrequency (%)
~ 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147595
57.9%
Common 106801
41.9%
Latin 390
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 12702
 
8.6%
산 11834
 
8.0%
동 11528
 
7.8%
지 11027
 
7.5%
광 10420
 
7.1%
시 10171
 
6.9%
번 10037
 
6.8%
역 10008
 
6.8%
구 9876
 
6.7%
가 2378
 
1.6%
Other values (447) 47614
32.3%
Latin
ValueCountFrequency (%)
B 98
25.1%
A 74
19.0%
S 29
 
7.4%
C 26
 
6.7%
G 21
 
5.4%
K 20
 
5.1%
D 12
 
3.1%
e 11
 
2.8%
E 10
 
2.6%
L 10
 
2.6%
Other values (29) 79
20.3%
Common
ValueCountFrequency (%)
45718
42.8%
1 11922
 
11.2%
- 8754
 
8.2%
2 7117
 
6.7%
3 5544
 
5.2%
4 4769
 
4.5%
5 4456
 
4.2%
0 4049
 
3.8%
6 3489
 
3.3%
7 3113
 
2.9%
Other values (13) 7870
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147594
57.9%
ASCII 107188
42.1%
Number Forms 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45718
42.7%
1 11922
 
11.1%
- 8754
 
8.2%
2 7117
 
6.6%
3 5544
 
5.2%
4 4769
 
4.4%
5 4456
 
4.2%
0 4049
 
3.8%
6 3489
 
3.3%
7 3113
 
2.9%
Other values (50) 8257
 
7.7%
Hangul
ValueCountFrequency (%)
부 12702
 
8.6%
산 11834
 
8.0%
동 11528
 
7.8%
지 11027
 
7.5%
광 10420
 
7.1%
시 10171
 
6.9%
번 10037
 
6.8%
역 10008
 
6.8%
구 9876
 
6.7%
가 2378
 
1.6%
Other values (446) 47613
32.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%

rdnpostno
Real number (ℝ)

SKEWED 

Distinct1407
Distinct (%)14.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.0162823 × 109
Minimum1
Maximum2.0160324 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:14:15.184872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46268.5
Q147728
median48947
Q348947
95-th percentile49115
Maximum2.0160324 × 1013
Range2.0160324 × 1013
Interquartile range (IQR)1219

Descriptive statistics

Standard deviation2.0161332 × 1011
Coefficient of variation (CV)99.992608
Kurtosis9999
Mean2.0162823 × 109
Median Absolute Deviation (MAD)212
Skewness99.995
Sum2.0160806 × 1013
Variance4.0647932 × 1022
MonotonicityNot monotonic
2024-04-18T00:14:15.496347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48947 3771
37.7%
48058 165
 
1.7%
48060 150
 
1.5%
48953 99
 
1.0%
48983 64
 
0.6%
48944 64
 
0.6%
47285 59
 
0.6%
48095 50
 
0.5%
48977 48
 
0.5%
48059 46
 
0.5%
Other values (1397) 5483
54.8%
ValueCountFrequency (%)
1 2
< 0.1%
2841 1
< 0.1%
4006 1
< 0.1%
7285 1
< 0.1%
10113 1
< 0.1%
10348 1
< 0.1%
12112 1
< 0.1%
12800 1
< 0.1%
16493 1
< 0.1%
35204 2
< 0.1%
ValueCountFrequency (%)
20160324134003 1
 
< 0.1%
51495 1
 
< 0.1%
50905 1
 
< 0.1%
50629 1
 
< 0.1%
49525 2
< 0.1%
49524 3
< 0.1%
49523 1
 
< 0.1%
49522 4
< 0.1%
49521 3
< 0.1%
49520 2
< 0.1%

rdnwhladdr
Text

MISSING 

Distinct5873
Distinct (%)92.1%
Missing3622
Missing (%)36.2%
Memory size156.2 KiB
2024-04-18T00:14:15.779343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length54
Mean length31.700847
Min length2

Characters and Unicode

Total characters202188
Distinct characters547
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

Unique5595 ?
Unique (%)87.7%

Sample

1st row부산광역시 중구 광복로 32-1, 2층 (창선동2가, 외 7필지)
2nd row부산광역시 중구 동영로 4, 1층 (동광동5가)
3rd row부산광역시 사상구 백양대로 888 (모라동)
4th row부산광역시 북구 금곡대로 230 (화명동, 금용복합스포츠타운)
5th row부산광역시 중구 보수대로 58, 1층 (부평동4가, 31-1,2번지)
ValueCountFrequency (%)
부산광역시 6361
 
16.3%
1층 1584
 
4.0%
중구 1017
 
2.6%
해운대구 938
 
2.4%
부산진구 713
 
1.8%
우동 491
 
1.3%
금정구 423
 
1.1%
동래구 415
 
1.1%
2층 387
 
1.0%
남구 385
 
1.0%
Other values (5237) 26398
67.5%
2024-04-18T00:14:16.200702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32761
 
16.2%
1 8874
 
4.4%
부 8374
 
4.1%
동 7980
 
3.9%
산 7662
 
3.8%
광 7100
 
3.5%
시 6839
 
3.4%
구 6479
 
3.2%
역 6401
 
3.2%
( 6400
 
3.2%
Other values (537) 103318
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118113
58.4%
Space Separator 32761
 
16.2%
Decimal Number 30644
 
15.2%
Open Punctuation 6401
 
3.2%
Close Punctuation 6398
 
3.2%
Other Punctuation 5669
 
2.8%
Dash Punctuation 1138
 
0.6%
Uppercase Letter 961
 
0.5%
Math Symbol 70
 
< 0.1%
Lowercase Letter 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 8374
 
7.1%
동 7980
 
6.8%
산 7662
 
6.5%
광 7100
 
6.0%
시 6839
 
5.8%
구 6479
 
5.5%
역 6401
 
5.4%
로 6202
 
5.3%
대 3555
 
3.0%
층 3343
 
2.8%
Other values (472) 54178
45.9%
Uppercase Letter
ValueCountFrequency (%)
A 216
22.5%
C 188
19.6%
E 153
15.9%
P 145
15.1%
B 107
11.1%
S 33
 
3.4%
K 21
 
2.2%
G 19
 
2.0%
D 14
 
1.5%
N 11
 
1.1%
Other values (14) 54
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 9
30.0%
l 4
13.3%
a 3
 
10.0%
s 2
 
6.7%
c 2
 
6.7%
g 1
 
3.3%
b 1
 
3.3%
o 1
 
3.3%
u 1
 
3.3%
n 1
 
3.3%
Other values (5) 5
16.7%
Decimal Number
ValueCountFrequency (%)
1 8874
29.0%
2 4669
15.2%
3 3153
 
10.3%
0 2473
 
8.1%
4 2468
 
8.1%
5 2462
 
8.0%
6 1902
 
6.2%
7 1798
 
5.9%
9 1453
 
4.7%
8 1392
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 5627
99.3%
. 27
 
0.5%
@ 10
 
0.2%
/ 2
 
< 0.1%
: 1
 
< 0.1%
' 1
 
< 0.1%
& 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 6400
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 6397
> 99.9%
] 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Space Separator
ValueCountFrequency (%)
32761
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1138
100.0%
Math Symbol
ValueCountFrequency (%)
~ 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118113
58.4%
Common 83081
41.1%
Latin 994
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 8374
 
7.1%
동 7980
 
6.8%
산 7662
 
6.5%
광 7100
 
6.0%
시 6839
 
5.8%
구 6479
 
5.5%
역 6401
 
5.4%
로 6202
 
5.3%
대 3555
 
3.0%
층 3343
 
2.8%
Other values (472) 54178
45.9%
Latin
ValueCountFrequency (%)
A 216
21.7%
C 188
18.9%
E 153
15.4%
P 145
14.6%
B 107
10.8%
S 33
 
3.3%
K 21
 
2.1%
G 19
 
1.9%
D 14
 
1.4%
N 11
 
1.1%
Other values (31) 87
8.8%
Common
ValueCountFrequency (%)
32761
39.4%
1 8874
 
10.7%
( 6400
 
7.7%
) 6397
 
7.7%
, 5627
 
6.8%
2 4669
 
5.6%
3 3153
 
3.8%
0 2473
 
3.0%
4 2468
 
3.0%
5 2462
 
3.0%
Other values (14) 7797
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118112
58.4%
ASCII 84072
41.6%
Number Forms 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32761
39.0%
1 8874
 
10.6%
( 6400
 
7.6%
) 6397
 
7.6%
, 5627
 
6.7%
2 4669
 
5.6%
3 3153
 
3.8%
0 2473
 
2.9%
4 2468
 
2.9%
5 2462
 
2.9%
Other values (53) 8788
 
10.5%
Hangul
ValueCountFrequency (%)
부 8374
 
7.1%
동 7980
 
6.8%
산 7662
 
6.5%
광 7100
 
6.0%
시 6839
 
5.8%
구 6479
 
5.5%
역 6401
 
5.4%
로 6202
 
5.3%
대 3555
 
3.0%
층 3343
 
2.8%
Other values (471) 54177
45.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅲ 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅌ 1
100.0%

apvpermymd
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)< 0.1%
Memory size156.2 KiB

dcbymd
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4042
Missing (%)40.4%
Memory size156.2 KiB

clgstdt
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:16.327417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length11.333333
Min length6

Characters and Unicode

Total characters34
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

Unique3 ?
Unique (%)100.0%

Sample

1st row20171103133434
2nd row20170615174047
3rd row휴업시작일자
ValueCountFrequency (%)
20171103133434 1
33.3%
20170615174047 1
33.3%
휴업시작일자 1
33.3%
2024-04-18T00:14:16.540277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7
20.6%
0 5
14.7%
7 4
11.8%
3 4
11.8%
4 4
11.8%
2 2
 
5.9%
6 1
 
2.9%
5 1
 
2.9%
휴 1
 
2.9%
업 1
 
2.9%
Other values (4) 4
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
82.4%
Other Letter 6
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7
25.0%
0 5
17.9%
7 4
14.3%
3 4
14.3%
4 4
14.3%
2 2
 
7.1%
6 1
 
3.6%
5 1
 
3.6%
Other Letter
ValueCountFrequency (%)
휴 1
16.7%
업 1
16.7%
시 1
16.7%
작 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 28
82.4%
Hangul 6
 
17.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7
25.0%
0 5
17.9%
7 4
14.3%
3 4
14.3%
4 4
14.3%
2 2
 
7.1%
6 1
 
3.6%
5 1
 
3.6%
Hangul
ValueCountFrequency (%)
휴 1
16.7%
업 1
16.7%
시 1
16.7%
작 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28
82.4%
Hangul 6
 
17.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7
25.0%
0 5
17.9%
7 4
14.3%
3 4
14.3%
4 4
14.3%
2 2
 
7.1%
6 1
 
3.6%
5 1
 
3.6%
Hangul
ValueCountFrequency (%)
휴 1
16.7%
업 1
16.7%
시 1
16.7%
작 1
16.7%
일 1
16.7%
자 1
16.7%

clgenddt
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:16.634517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length4
Min length3

Characters and Unicode

Total characters12
Distinct characters9
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 (%)33.3%

Sample

1st row커피숍
2nd row커피숍
3rd row휴업종료일자
ValueCountFrequency (%)
커피숍 2
66.7%
휴업종료일자 1
33.3%
2024-04-18T00:14:16.824905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
커 2
16.7%
피 2
16.7%
숍 2
16.7%
휴 1
8.3%
업 1
8.3%
종 1
8.3%
료 1
8.3%
일 1
8.3%
자 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
커 2
16.7%
피 2
16.7%
숍 2
16.7%
휴 1
8.3%
업 1
8.3%
종 1
8.3%
료 1
8.3%
일 1
8.3%
자 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
커 2
16.7%
피 2
16.7%
숍 2
16.7%
휴 1
8.3%
업 1
8.3%
종 1
8.3%
료 1
8.3%
일 1
8.3%
자 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
커 2
16.7%
피 2
16.7%
숍 2
16.7%
휴 1
8.3%
업 1
8.3%
종 1
8.3%
료 1
8.3%
일 1
8.3%
자 1
8.3%

ropnymd
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:16.931458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length9.6666667
Min length5

Characters and Unicode

Total characters29
Distinct characters12
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

Unique1 ?
Unique (%)33.3%

Sample

1st row051-123-1234
2nd row051-123-1234
3rd row재개업일자
ValueCountFrequency (%)
051-123-1234 2
66.7%
재개업일자 1
33.3%
2024-04-18T00:14:17.146735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
20.7%
- 4
13.8%
2 4
13.8%
3 4
13.8%
0 2
 
6.9%
5 2
 
6.9%
4 2
 
6.9%
재 1
 
3.4%
개 1
 
3.4%
업 1
 
3.4%
Other values (2) 2
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20
69.0%
Other Letter 5
 
17.2%
Dash Punctuation 4
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
30.0%
2 4
20.0%
3 4
20.0%
0 2
 
10.0%
5 2
 
10.0%
4 2
 
10.0%
Other Letter
ValueCountFrequency (%)
재 1
20.0%
개 1
20.0%
업 1
20.0%
일 1
20.0%
자 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24
82.8%
Hangul 5
 
17.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
25.0%
- 4
16.7%
2 4
16.7%
3 4
16.7%
0 2
 
8.3%
5 2
 
8.3%
4 2
 
8.3%
Hangul
ValueCountFrequency (%)
재 1
20.0%
개 1
20.0%
업 1
20.0%
일 1
20.0%
자 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
82.8%
Hangul 5
 
17.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
25.0%
- 4
16.7%
2 4
16.7%
3 4
16.7%
0 2
 
8.3%
5 2
 
8.3%
4 2
 
8.3%
Hangul
ValueCountFrequency (%)
재 1
20.0%
개 1
20.0%
업 1
20.0%
일 1
20.0%
자 1
20.0%

trdstatenm
Unsupported

REJECTED  UNSUPPORTED 

Missing18
Missing (%)0.2%
Memory size156.2 KiB

dtlstatenm
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
5955 
영업
4033 
영업중
 
8
<NA>
 
4

Length

Max length4
Median length2
Mean length2.0016
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 5955
59.6%
영업 4033
40.3%
영업중 8
 
0.1%
<NA> 4
 
< 0.1%

Length

2024-04-18T00:14:17.250128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:17.334310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5955
59.6%
영업 4033
40.3%
영업중 8
 
0.1%
na 4
 
< 0.1%

x
Real number (ℝ)

MISSING 

Distinct7196
Distinct (%)75.1%
Missing421
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean387939.57
Minimum175704.53
Maximum408252.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:14:17.427238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175704.53
5-th percentile379785.22
Q1384836.55
median387697.65
Q3391559.96
95-th percentile398088.03
Maximum408252.77
Range232548.23
Interquartile range (IQR)6723.4027

Descriptive statistics

Standard deviation8155.3313
Coefficient of variation (CV)0.021022169
Kurtosis282.57565
Mean387939.57
Median Absolute Deviation (MAD)3095.3397
Skewness-12.179263
Sum3.7160731 × 109
Variance66509429
MonotonicityNot monotonic
2024-04-18T00:14:17.535563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
394606.582838 110
 
1.1%
394015.453851 103
 
1.0%
385717.579204 65
 
0.7%
387443.214568 53
 
0.5%
387613.573156 36
 
0.4%
385031.067292 31
 
0.3%
389170.392207 29
 
0.3%
394153.800755 28
 
0.3%
389173.570969 27
 
0.3%
387612.492814 26
 
0.3%
Other values (7186) 9071
90.7%
(Missing) 421
 
4.2%
ValueCountFrequency (%)
175704.533721103 1
< 0.1%
179160.992323618 1
< 0.1%
189835.868160807 1
< 0.1%
191164.349860721 1
< 0.1%
202313.850759843 1
< 0.1%
202989.964404269 1
< 0.1%
210873.469890683 1
< 0.1%
228920.722830276 1
< 0.1%
234729.708066 2
< 0.1%
340395.311211 1
< 0.1%
ValueCountFrequency (%)
408252.767077 1
< 0.1%
407892.460287 1
< 0.1%
407817.759035 1
< 0.1%
407665.640005 1
< 0.1%
407537.629209 1
< 0.1%
407522.570746 1
< 0.1%
407515.749132 1
< 0.1%
407174.559453 1
< 0.1%
407091.120222 1
< 0.1%
407071.768163 1
< 0.1%

y
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing420
Missing (%)4.2%
Memory size156.2 KiB

lastmodts
Real number (ℝ)

Distinct8058
Distinct (%)80.6%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.0110857 × 1013
Minimum1.9990211 × 1013
Maximum2.0181019 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T00:14:17.647061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990211 × 1013
5-th percentile2.0000406 × 1013
Q12.0041126 × 1013
median2.0130813 × 1013
Q32.0170405 × 1013
95-th percentile2.0180621 × 1013
Maximum2.0181019 × 1013
Range1.9080811 × 1011
Interquartile range (IQR)1.292799 × 1011

Descriptive statistics

Standard deviation6.4123105 × 1010
Coefficient of variation (CV)0.0031884819
Kurtosis-1.1852947
Mean2.0110857 × 1013
Median Absolute Deviation (MAD)4.0296027 × 1010
Skewness-0.57955519
Sum2.0102813 × 1017
Variance4.1117726 × 1021
MonotonicityNot monotonic
2024-04-18T00:14:17.765715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20020228000000 107
 
1.1%
20020827000000 63
 
0.6%
20010803000000 59
 
0.6%
19990318000000 59
 
0.6%
20020110000000 56
 
0.6%
20010823000000 44
 
0.4%
20011224000000 37
 
0.4%
19990319000000 36
 
0.4%
20011226000000 34
 
0.3%
20011221000000 34
 
0.3%
Other values (8048) 9467
94.7%
ValueCountFrequency (%)
19990211000000 1
 
< 0.1%
19990226000000 1
 
< 0.1%
19990303000000 6
 
0.1%
19990304000000 7
 
0.1%
19990305000000 21
0.2%
19990308000000 6
 
0.1%
19990309000000 2
 
< 0.1%
19990310000000 1
 
< 0.1%
19990311000000 1
 
< 0.1%
19990312000000 6
 
0.1%
ValueCountFrequency (%)
20181019110500 1
< 0.1%
20181019105847 1
< 0.1%
20181019105253 1
< 0.1%
20181019104705 1
< 0.1%
20181019104150 1
< 0.1%
20181019103916 1
< 0.1%
20181018115357 1
< 0.1%
20181018115029 1
< 0.1%
20181018114953 1
< 0.1%
20181018114521 1
< 0.1%

uptaenm
Categorical

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
커피숍
2219 
다방
1567 
일반조리판매
1511 
기타 휴게음식점
1288 
과자점
989 
Other values (32)
2426 

Length

Max length15
Median length10
Mean length4.0459
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row패스트푸드
2nd row패스트푸드
3rd row과자점
4th row분식
5th row한식

Common Values

ValueCountFrequency (%)
커피숍 2219
22.2%
다방 1567
15.7%
일반조리판매 1511
15.1%
기타 휴게음식점 1288
12.9%
과자점 989
9.9%
패스트푸드 654
 
6.5%
한식 625
 
6.2%
편의점 223
 
2.2%
경양식 218
 
2.2%
푸드트럭 106
 
1.1%
Other values (27) 600
 
6.0%

Length

2024-04-18T00:14:17.878363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 2219
19.7%
다방 1567
13.9%
일반조리판매 1511
13.4%
기타 1352
12.0%
휴게음식점 1288
11.4%
과자점 989
8.8%
패스트푸드 654
 
5.8%
한식 625
 
5.5%
편의점 223
 
2.0%
경양식 218
 
1.9%
Other values (27) 642
 
5.7%

sitetel
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
051-123-1234
9996 
<NA>
 
4

Length

Max length12
Median length12
Mean length11.9968
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 9996
> 99.9%
<NA> 4
 
< 0.1%

Length

2024-04-18T00:14:17.982491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:18.063946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-123-1234 9996
> 99.9%
na 4
 
< 0.1%

stroomcnt
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:18.144795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.3333333
Min length3

Characters and Unicode

Total characters13
Distinct characters7
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 (%)33.3%

Sample

1st row상수도전용
2nd row상수도전용
3rd row객실수
ValueCountFrequency (%)
상수도전용 2
66.7%
객실수 1
33.3%
2024-04-18T00:14:18.347729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 3
23.1%
상 2
15.4%
도 2
15.4%
전 2
15.4%
용 2
15.4%
객 1
 
7.7%
실 1
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 3
23.1%
상 2
15.4%
도 2
15.4%
전 2
15.4%
용 2
15.4%
객 1
 
7.7%
실 1
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 3
23.1%
상 2
15.4%
도 2
15.4%
전 2
15.4%
용 2
15.4%
객 1
 
7.7%
실 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 3
23.1%
상 2
15.4%
도 2
15.4%
전 2
15.4%
용 2
15.4%
객 1
 
7.7%
실 1
 
7.7%

bdngownsenm
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:18.449981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
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 row건물소유구분명
ValueCountFrequency (%)
건물소유구분명 1
100.0%
2024-04-18T00:14:18.637271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 1
14.3%
물 1
14.3%
소 1
14.3%
유 1
14.3%
구 1
14.3%
분 1
14.3%
명 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 1
14.3%
물 1
14.3%
소 1
14.3%
유 1
14.3%
구 1
14.3%
분 1
14.3%
명 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 1
14.3%
물 1
14.3%
소 1
14.3%
유 1
14.3%
구 1
14.3%
분 1
14.3%
명 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 1
14.3%
물 1
14.3%
소 1
14.3%
유 1
14.3%
구 1
14.3%
분 1
14.3%
명 1
14.3%

bdngsrvnm
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:18.731304image/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 row건물용도명
ValueCountFrequency (%)
건물용도명 1
100.0%
2024-04-18T00:14:18.912828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 1
20.0%
물 1
20.0%
용 1
20.0%
도 1
20.0%
명 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 1
20.0%
물 1
20.0%
용 1
20.0%
도 1
20.0%
명 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 1
20.0%
물 1
20.0%
용 1
20.0%
도 1
20.0%
명 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 1
20.0%
물 1
20.0%
용 1
20.0%
도 1
20.0%
명 1
20.0%

cnstyarea
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:19.021666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3
Min length1

Characters and Unicode

Total characters6
Distinct characters6
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowN
2nd row건축연면적
ValueCountFrequency (%)
n 1
50.0%
건축연면적 1
50.0%
2024-04-18T00:14:19.230412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1
16.7%
건 1
16.7%
축 1
16.7%
연 1
16.7%
면 1
16.7%
적 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
83.3%
Uppercase Letter 1
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 1
20.0%
축 1
20.0%
연 1
20.0%
면 1
20.0%
적 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
83.3%
Latin 1
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 1
20.0%
축 1
20.0%
연 1
20.0%
면 1
20.0%
적 1
20.0%
Latin
ValueCountFrequency (%)
N 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
83.3%
ASCII 1
 
16.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1
100.0%
Hangul
ValueCountFrequency (%)
건 1
20.0%
축 1
20.0%
연 1
20.0%
면 1
20.0%
적 1
20.0%

fctyowkepcnt
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9992 
0
 
6
자율
 
1
공장사무직종업원수
 
1

Length

Max length9
Median length4
Mean length3.9985
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> 9992
99.9%
0 6
 
0.1%
자율 1
 
< 0.1%
공장사무직종업원수 1
 
< 0.1%

Length

2024-04-18T00:14:19.329664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:19.414047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9992
99.9%
0 6
 
0.1%
자율 1
 
< 0.1%
공장사무직종업원수 1
 
< 0.1%

fctypdtjobepcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9993
Missing (%)99.9%
Memory size156.2 KiB

fctysiljobepcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9993
Missing (%)99.9%
Memory size156.2 KiB

wtrsplyfacilsenm
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5312 
상수도전용
4652 
간이상수도
 
13
지하수전용
 
13
상수도(음용)지하수(주방용)겸용
 
6
Other values (3)
 
4

Length

Max length19
Median length4
Mean length4.478
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5312
53.1%
상수도전용 4652
46.5%
간이상수도 13
 
0.1%
지하수전용 13
 
0.1%
상수도(음용)지하수(주방용)겸용 6
 
0.1%
전용상수도(특정시설의 자가용 수도) 2
 
< 0.1%
N 1
 
< 0.1%
Y 1
 
< 0.1%

Length

2024-04-18T00:14:19.515739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:19.600483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5312
53.1%
상수도전용 4652
46.5%
간이상수도 13
 
0.1%
지하수전용 13
 
0.1%
상수도(음용)지하수(주방용)겸용 6
 
0.1%
전용상수도(특정시설의 2
 
< 0.1%
자가용 2
 
< 0.1%
수도 2
 
< 0.1%
n 1
 
< 0.1%
y 1
 
< 0.1%

svnsr
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:19.694765image/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 row기념품종류
ValueCountFrequency (%)
기념품종류 1
100.0%
2024-04-18T00:14:19.872929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
20.0%
념 1
20.0%
품 1
20.0%
종 1
20.0%
류 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
20.0%
념 1
20.0%
품 1
20.0%
종 1
20.0%
류 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
20.0%
념 1
20.0%
품 1
20.0%
종 1
20.0%
류 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
20.0%
념 1
20.0%
품 1
20.0%
종 1
20.0%
류 1
20.0%

plninsurstdt
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:19.984686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters10
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 row기획여행보험시작일자
ValueCountFrequency (%)
기획여행보험시작일자 1
100.0%
2024-04-18T00:14:20.179935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
10.0%
획 1
10.0%
여 1
10.0%
행 1
10.0%
보 1
10.0%
험 1
10.0%
시 1
10.0%
작 1
10.0%
일 1
10.0%
자 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
10.0%
획 1
10.0%
여 1
10.0%
행 1
10.0%
보 1
10.0%
험 1
10.0%
시 1
10.0%
작 1
10.0%
일 1
10.0%
자 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
10.0%
획 1
10.0%
여 1
10.0%
행 1
10.0%
보 1
10.0%
험 1
10.0%
시 1
10.0%
작 1
10.0%
일 1
10.0%
자 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
10.0%
획 1
10.0%
여 1
10.0%
행 1
10.0%
보 1
10.0%
험 1
10.0%
시 1
10.0%
작 1
10.0%
일 1
10.0%
자 1
10.0%

plninsurenddt
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:20.295285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters10
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 row기획여행보험종료일자
ValueCountFrequency (%)
기획여행보험종료일자 1
100.0%
2024-04-18T00:14:20.489537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
10.0%
획 1
10.0%
여 1
10.0%
행 1
10.0%
보 1
10.0%
험 1
10.0%
종 1
10.0%
료 1
10.0%
일 1
10.0%
자 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
10.0%
획 1
10.0%
여 1
10.0%
행 1
10.0%
보 1
10.0%
험 1
10.0%
종 1
10.0%
료 1
10.0%
일 1
10.0%
자 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
10.0%
획 1
10.0%
여 1
10.0%
행 1
10.0%
보 1
10.0%
험 1
10.0%
종 1
10.0%
료 1
10.0%
일 1
10.0%
자 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
10.0%
획 1
10.0%
여 1
10.0%
행 1
10.0%
보 1
10.0%
험 1
10.0%
종 1
10.0%
료 1
10.0%
일 1
10.0%
자 1
10.0%

maneipcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6523
Missing (%)65.2%
Memory size156.2 KiB

playutscntdtl
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:20.598745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters7
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 row놀이기구수내역
ValueCountFrequency (%)
놀이기구수내역 1
100.0%
2024-04-18T00:14:20.786051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
놀 1
14.3%
이 1
14.3%
기 1
14.3%
구 1
14.3%
수 1
14.3%
내 1
14.3%
역 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
놀 1
14.3%
이 1
14.3%
기 1
14.3%
구 1
14.3%
수 1
14.3%
내 1
14.3%
역 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
놀 1
14.3%
이 1
14.3%
기 1
14.3%
구 1
14.3%
수 1
14.3%
내 1
14.3%
역 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
놀 1
14.3%
이 1
14.3%
기 1
14.3%
구 1
14.3%
수 1
14.3%
내 1
14.3%
역 1
14.3%

playfacilcnt
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:20.883565image/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 row놀이시설수
ValueCountFrequency (%)
놀이시설수 1
100.0%
2024-04-18T00:14:21.069769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
놀 1
20.0%
이 1
20.0%
시 1
20.0%
설 1
20.0%
수 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
놀 1
20.0%
이 1
20.0%
시 1
20.0%
설 1
20.0%
수 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
놀 1
20.0%
이 1
20.0%
시 1
20.0%
설 1
20.0%
수 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
놀 1
20.0%
이 1
20.0%
시 1
20.0%
설 1
20.0%
수 1
20.0%

multusnupsoyn
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Memory size97.7 KiB
False
9755 
True
 
241
(Missing)
 
4
ValueCountFrequency (%)
False 9755
97.5%
True 241
 
2.4%
(Missing) 4
 
< 0.1%
2024-04-18T00:14:21.146132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

lvsenm
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6125 
기타
3156 
자율
699 
지도
 
12
우수
 
6
Other values (2)
 
2

Length

Max length5
Median length4
Mean length3.2252
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6125
61.3%
기타 3156
31.6%
자율 699
 
7.0%
지도 12
 
0.1%
우수 6
 
0.1%
갑 1
 
< 0.1%
등급구분명 1
 
< 0.1%

Length

2024-04-18T00:14:21.227288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:21.324948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6125
61.3%
기타 3156
31.6%
자율 699
 
7.0%
지도 12
 
0.1%
우수 6
 
0.1%
갑 1
 
< 0.1%
등급구분명 1
 
< 0.1%

stagear
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:21.410892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
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

Unique1 ?
Unique (%)100.0%

Sample

1st row무대면적
ValueCountFrequency (%)
무대면적 1
100.0%
2024-04-18T00:14:21.583463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
무 1
25.0%
대 1
25.0%
면 1
25.0%
적 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 1
25.0%
대 1
25.0%
면 1
25.0%
적 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 1
25.0%
대 1
25.0%
면 1
25.0%
적 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
무 1
25.0%
대 1
25.0%
면 1
25.0%
적 1
25.0%

culwrkrsenm
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9994 
관광사업
 
5
문화사업자구분명
 
1

Length

Max length8
Median length4
Mean length4.0004
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> 9994
99.9%
관광사업 5
 
0.1%
문화사업자구분명 1
 
< 0.1%

Length

2024-04-18T00:14:21.683087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:21.759017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9994
99.9%
관광사업 5
 
< 0.1%
문화사업자구분명 1
 
< 0.1%

culphyedcobnm
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9988 
외국인전용유흥음식점업
 
11
문화체육업종명
 
1

Length

Max length11
Median length4
Mean length4.008
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> 9988
99.9%
외국인전용유흥음식점업 11
 
0.1%
문화체육업종명 1
 
< 0.1%

Length

2024-04-18T00:14:21.841314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:21.916041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9988
99.9%
외국인전용유흥음식점업 11
 
0.1%
문화체육업종명 1
 
< 0.1%

geicpfacilen
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:21.957658image/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 row발
ValueCountFrequency (%)
발 1
100.0%
2024-04-18T00:14:22.103473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
발 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
발 1
100.0%

bcfacilen
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:22.180062image/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 row방
ValueCountFrequency (%)
방 1
100.0%
2024-04-18T00:14:22.348827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
방 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
방 1
100.0%

isream
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9992
Missing (%)99.9%
Memory size156.2 KiB

insurorgnm
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:22.441247image/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 row보험기관명
ValueCountFrequency (%)
보험기관명 1
100.0%
2024-04-18T00:14:22.628073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 1
20.0%
험 1
20.0%
기 1
20.0%
관 1
20.0%
명 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 1
20.0%
험 1
20.0%
기 1
20.0%
관 1
20.0%
명 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 1
20.0%
험 1
20.0%
기 1
20.0%
관 1
20.0%
명 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 1
20.0%
험 1
20.0%
기 1
20.0%
관 1
20.0%
명 1
20.0%

insurstdt
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:22.729884image/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 row보험시작일자
ValueCountFrequency (%)
보험시작일자 1
100.0%
2024-04-18T00:14:23.166783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 1
16.7%
험 1
16.7%
시 1
16.7%
작 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 1
16.7%
험 1
16.7%
시 1
16.7%
작 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 1
16.7%
험 1
16.7%
시 1
16.7%
작 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 1
16.7%
험 1
16.7%
시 1
16.7%
작 1
16.7%
일 1
16.7%
자 1
16.7%

insurenddt
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:23.264118image/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 row보험종료일자
ValueCountFrequency (%)
보험종료일자 1
100.0%
2024-04-18T00:14:23.468682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 1
16.7%
험 1
16.7%
종 1
16.7%
료 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 1
16.7%
험 1
16.7%
종 1
16.7%
료 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 1
16.7%
험 1
16.7%
종 1
16.7%
료 1
16.7%
일 1
16.7%
자 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 1
16.7%
험 1
16.7%
종 1
16.7%
료 1
16.7%
일 1
16.7%
자 1
16.7%

hoffepcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9991
Missing (%)99.9%
Memory size156.2 KiB

afc
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:23.576847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4
Min length2

Characters and Unicode

Total characters8
Distinct characters8
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 (%)100.0%

Sample

1st row기타
2nd row부대시설내역
ValueCountFrequency (%)
기타 1
50.0%
부대시설내역 1
50.0%
2024-04-18T00:14:23.790103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
12.5%
타 1
12.5%
부 1
12.5%
대 1
12.5%
시 1
12.5%
설 1
12.5%
내 1
12.5%
역 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
12.5%
타 1
12.5%
부 1
12.5%
대 1
12.5%
시 1
12.5%
설 1
12.5%
내 1
12.5%
역 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
12.5%
타 1
12.5%
부 1
12.5%
대 1
12.5%
시 1
12.5%
설 1
12.5%
내 1
12.5%
역 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
12.5%
타 1
12.5%
부 1
12.5%
대 1
12.5%
시 1
12.5%
설 1
12.5%
내 1
12.5%
역 1
12.5%

shpinfo
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:23.884012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
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

Unique1 ?
Unique (%)100.0%

Sample

1st row선박제원
ValueCountFrequency (%)
선박제원 1
100.0%
2024-04-18T00:14:24.061624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
선 1
25.0%
박 1
25.0%
제 1
25.0%
원 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 1
25.0%
박 1
25.0%
제 1
25.0%
원 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 1
25.0%
박 1
25.0%
제 1
25.0%
원 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
선 1
25.0%
박 1
25.0%
제 1
25.0%
원 1
25.0%

shpcnt
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:24.174391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6
Min length4

Characters and Unicode

Total characters12
Distinct characters12
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

Unique2 ?
Unique (%)100.0%

Sample

1st row기타 휴게음식점
2nd row선박척수
ValueCountFrequency (%)
기타 1
33.3%
휴게음식점 1
33.3%
선박척수 1
33.3%
2024-04-18T00:14:24.397169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
8.3%
타 1
8.3%
1
8.3%
휴 1
8.3%
게 1
8.3%
음 1
8.3%
식 1
8.3%
점 1
8.3%
선 1
8.3%
박 1
8.3%
Other values (2) 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
91.7%
Space Separator 1
 
8.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
9.1%
타 1
9.1%
휴 1
9.1%
게 1
9.1%
음 1
9.1%
식 1
9.1%
점 1
9.1%
선 1
9.1%
박 1
9.1%
척 1
9.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
91.7%
Common 1
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
9.1%
타 1
9.1%
휴 1
9.1%
게 1
9.1%
음 1
9.1%
식 1
9.1%
점 1
9.1%
선 1
9.1%
박 1
9.1%
척 1
9.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
91.7%
ASCII 1
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
9.1%
타 1
9.1%
휴 1
9.1%
게 1
9.1%
음 1
9.1%
식 1
9.1%
점 1
9.1%
선 1
9.1%
박 1
9.1%
척 1
9.1%
ASCII
ValueCountFrequency (%)
1
100.0%

shptottons
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:24.496293image/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 row선박총톤수
ValueCountFrequency (%)
선박총톤수 1
100.0%
2024-04-18T00:14:24.678149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
선 1
20.0%
박 1
20.0%
총 1
20.0%
톤 1
20.0%
수 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 1
20.0%
박 1
20.0%
총 1
20.0%
톤 1
20.0%
수 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 1
20.0%
박 1
20.0%
총 1
20.0%
톤 1
20.0%
수 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
선 1
20.0%
박 1
20.0%
총 1
20.0%
톤 1
20.0%
수 1
20.0%

facilscp
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:24.788036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.25
Min length3

Characters and Unicode

Total characters13
Distinct characters10
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

Unique4 ?
Unique (%)100.0%

Sample

1st row109
2nd row시설규모
3rd row205
4th row419
ValueCountFrequency (%)
109 1
25.0%
시설규모 1
25.0%
205 1
25.0%
419 1
25.0%
2024-04-18T00:14:24.993742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2
15.4%
0 2
15.4%
9 2
15.4%
시 1
7.7%
설 1
7.7%
규 1
7.7%
모 1
7.7%
2 1
7.7%
5 1
7.7%
4 1
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9
69.2%
Other Letter 4
30.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
22.2%
0 2
22.2%
9 2
22.2%
2 1
11.1%
5 1
11.1%
4 1
11.1%
Other Letter
ValueCountFrequency (%)
시 1
25.0%
설 1
25.0%
규 1
25.0%
모 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9
69.2%
Hangul 4
30.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2
22.2%
0 2
22.2%
9 2
22.2%
2 1
11.1%
5 1
11.1%
4 1
11.1%
Hangul
ValueCountFrequency (%)
시 1
25.0%
설 1
25.0%
규 1
25.0%
모 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9
69.2%
Hangul 4
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2
22.2%
0 2
22.2%
9 2
22.2%
2 1
11.1%
5 1
11.1%
4 1
11.1%
Hangul
ValueCountFrequency (%)
시 1
25.0%
설 1
25.0%
규 1
25.0%
모 1
25.0%

facilar
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:25.112378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4
Min length3

Characters and Unicode

Total characters16
Distinct characters13
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

Unique4 ?
Unique (%)100.0%

Sample

1st row109
2nd row시설면적
3rd row205
4th row418.65
ValueCountFrequency (%)
109 1
25.0%
시설면적 1
25.0%
205 1
25.0%
418.65 1
25.0%
2024-04-18T00:14:25.325592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2
12.5%
0 2
12.5%
5 2
12.5%
9 1
 
6.2%
시 1
 
6.2%
설 1
 
6.2%
면 1
 
6.2%
적 1
 
6.2%
2 1
 
6.2%
4 1
 
6.2%
Other values (3) 3
18.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11
68.8%
Other Letter 4
 
25.0%
Other Punctuation 1
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
18.2%
0 2
18.2%
5 2
18.2%
9 1
9.1%
2 1
9.1%
4 1
9.1%
8 1
9.1%
6 1
9.1%
Other Letter
ValueCountFrequency (%)
시 1
25.0%
설 1
25.0%
면 1
25.0%
적 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12
75.0%
Hangul 4
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2
16.7%
0 2
16.7%
5 2
16.7%
9 1
8.3%
2 1
8.3%
4 1
8.3%
8 1
8.3%
. 1
8.3%
6 1
8.3%
Hangul
ValueCountFrequency (%)
시 1
25.0%
설 1
25.0%
면 1
25.0%
적 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
75.0%
Hangul 4
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2
16.7%
0 2
16.7%
5 2
16.7%
9 1
8.3%
2 1
8.3%
4 1
8.3%
8 1
8.3%
. 1
8.3%
6 1
8.3%
Hangul
ValueCountFrequency (%)
시 1
25.0%
설 1
25.0%
면 1
25.0%
적 1
25.0%

faciltotscp
Unsupported

REJECTED  UNSUPPORTED 

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

infoben
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:25.384575image/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 row안
ValueCountFrequency (%)
안 1
100.0%
2024-04-18T00:14:25.524758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1
100.0%

wmeipcnt
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6492
Missing (%)64.9%
Memory size156.2 KiB

engstntrnmnm
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:25.641868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8
Min length5

Characters and Unicode

Total characters32
Distinct characters23
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st rowKings
2nd rowBORACAY
3rd row영문상호명
4th rowMANHATTAN NIGHT
ValueCountFrequency (%)
kings 1
20.0%
boracay 1
20.0%
영문상호명 1
20.0%
manhattan 1
20.0%
night 1
20.0%
2024-04-18T00:14:25.870367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 5
 
15.6%
T 3
 
9.4%
N 3
 
9.4%
H 2
 
6.2%
K 1
 
3.1%
문 1
 
3.1%
I 1
 
3.1%
1
 
3.1%
M 1
 
3.1%
명 1
 
3.1%
Other values (13) 13
40.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 22
68.8%
Other Letter 5
 
15.6%
Lowercase Letter 4
 
12.5%
Space Separator 1
 
3.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 5
22.7%
T 3
13.6%
N 3
13.6%
H 2
 
9.1%
K 1
 
4.5%
I 1
 
4.5%
M 1
 
4.5%
Y 1
 
4.5%
C 1
 
4.5%
R 1
 
4.5%
Other values (3) 3
13.6%
Other Letter
ValueCountFrequency (%)
문 1
20.0%
명 1
20.0%
호 1
20.0%
상 1
20.0%
영 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
25.0%
s 1
25.0%
g 1
25.0%
n 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 26
81.2%
Hangul 5
 
15.6%
Common 1
 
3.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 5
19.2%
T 3
11.5%
N 3
11.5%
H 2
 
7.7%
K 1
 
3.8%
I 1
 
3.8%
M 1
 
3.8%
i 1
 
3.8%
Y 1
 
3.8%
C 1
 
3.8%
Other values (7) 7
26.9%
Hangul
ValueCountFrequency (%)
문 1
20.0%
명 1
20.0%
호 1
20.0%
상 1
20.0%
영 1
20.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27
84.4%
Hangul 5
 
15.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 5
18.5%
T 3
 
11.1%
N 3
 
11.1%
H 2
 
7.4%
K 1
 
3.7%
I 1
 
3.7%
1
 
3.7%
M 1
 
3.7%
i 1
 
3.7%
Y 1
 
3.7%
Other values (8) 8
29.6%
Hangul
ValueCountFrequency (%)
문 1
20.0%
명 1
20.0%
호 1
20.0%
상 1
20.0%
영 1
20.0%

engstntrnmaddr
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:25.973906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length37
Mean length26.666667
Min length6

Characters and Unicode

Total characters80
Distinct characters33
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
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 rowA pleasure restaurant for a foreigner
2nd rowA PLEASURE RESTAURANT FOR A FOREIGNER
3rd row영문상호주소
ValueCountFrequency (%)
a 4
30.8%
pleasure 2
15.4%
restaurant 2
15.4%
for 2
15.4%
foreigner 2
15.4%
영문상호주소 1
 
7.7%
2024-04-18T00:14:26.204579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
12.5%
A 6
 
7.5%
R 6
 
7.5%
r 6
 
7.5%
e 5
 
6.2%
E 5
 
6.2%
a 4
 
5.0%
F 2
 
2.5%
N 2
 
2.5%
T 2
 
2.5%
Other values (23) 32
40.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 33
41.2%
Lowercase Letter 31
38.8%
Space Separator 10
 
12.5%
Other Letter 6
 
7.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 6
18.2%
R 6
18.2%
E 5
15.2%
F 2
 
6.1%
N 2
 
6.1%
T 2
 
6.1%
U 2
 
6.1%
S 2
 
6.1%
O 2
 
6.1%
G 1
 
3.0%
Other values (3) 3
9.1%
Lowercase Letter
ValueCountFrequency (%)
r 6
19.4%
e 5
16.1%
a 4
12.9%
o 2
 
6.5%
f 2
 
6.5%
n 2
 
6.5%
t 2
 
6.5%
u 2
 
6.5%
s 2
 
6.5%
g 1
 
3.2%
Other values (3) 3
9.7%
Other Letter
ValueCountFrequency (%)
상 1
16.7%
문 1
16.7%
영 1
16.7%
호 1
16.7%
주 1
16.7%
소 1
16.7%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 64
80.0%
Common 10
 
12.5%
Hangul 6
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 6
 
9.4%
R 6
 
9.4%
r 6
 
9.4%
e 5
 
7.8%
E 5
 
7.8%
a 4
 
6.2%
F 2
 
3.1%
N 2
 
3.1%
T 2
 
3.1%
U 2
 
3.1%
Other values (16) 24
37.5%
Hangul
ValueCountFrequency (%)
상 1
16.7%
문 1
16.7%
영 1
16.7%
호 1
16.7%
주 1
16.7%
소 1
16.7%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74
92.5%
Hangul 6
 
7.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
 
13.5%
A 6
 
8.1%
R 6
 
8.1%
r 6
 
8.1%
e 5
 
6.8%
E 5
 
6.8%
a 4
 
5.4%
F 2
 
2.7%
N 2
 
2.7%
T 2
 
2.7%
Other values (17) 26
35.1%
Hangul
ValueCountFrequency (%)
상 1
16.7%
문 1
16.7%
영 1
16.7%
호 1
16.7%
주 1
16.7%
소 1
16.7%

trdpjubnsenm
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5794 
기타
3488 
주택가주변
 
367
아파트지역
 
161
유흥업소밀집지역
 
129
Other values (4)
 
61

Length

Max length8
Median length4
Mean length3.4307
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5794
57.9%
기타 3488
34.9%
주택가주변 367
 
3.7%
아파트지역 161
 
1.6%
유흥업소밀집지역 129
 
1.3%
학교정화(상대) 43
 
0.4%
학교정화(절대) 12
 
0.1%
결혼예식장주변 5
 
0.1%
영업장주변구분명 1
 
< 0.1%

Length

2024-04-18T00:14:26.310973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:26.401450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5794
57.9%
기타 3488
34.9%
주택가주변 367
 
3.7%
아파트지역 161
 
1.6%
유흥업소밀집지역 129
 
1.3%
학교정화(상대 43
 
0.4%
학교정화(절대 12
 
0.1%
결혼예식장주변 5
 
< 0.1%
영업장주변구분명 1
 
< 0.1%

monam
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9993
Missing (%)99.9%
Memory size156.2 KiB

sntuptaenm
Categorical

Distinct37
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
커피숍
2219 
다방
1567 
일반조리판매
1511 
기타 휴게음식점
1288 
과자점
989 
Other values (32)
2426 

Length

Max length15
Median length10
Mean length4.0459
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row패스트푸드
2nd row패스트푸드
3rd row과자점
4th row분식
5th row한식

Common Values

ValueCountFrequency (%)
커피숍 2219
22.2%
다방 1567
15.7%
일반조리판매 1511
15.1%
기타 휴게음식점 1288
12.9%
과자점 989
9.9%
패스트푸드 654
 
6.5%
한식 625
 
6.2%
편의점 223
 
2.2%
경양식 218
 
2.2%
푸드트럭 106
 
1.1%
Other values (27) 600
 
6.0%

Length

2024-04-18T00:14:26.509282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 2219
19.7%
다방 1567
13.9%
일반조리판매 1511
13.4%
기타 1352
12.0%
휴게음식점 1288
11.4%
과자점 989
8.8%
패스트푸드 654
 
5.8%
한식 625
 
5.5%
편의점 223
 
2.0%
경양식 218
 
1.9%
Other values (27) 642
 
5.7%

dispenen
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:26.567096image/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 row의
ValueCountFrequency (%)
의 1
100.0%
2024-04-18T00:14:26.707174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 1
100.0%

capt
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:26.806982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length6.3333333
Min length3

Characters and Unicode

Total characters19
Distinct characters6
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

Unique3 ?
Unique (%)100.0%

Sample

1st row60000000
2nd row50000000
3rd row자본금
ValueCountFrequency (%)
60000000 1
33.3%
50000000 1
33.3%
자본금 1
33.3%
2024-04-18T00:14:26.997224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14
73.7%
6 1
 
5.3%
5 1
 
5.3%
자 1
 
5.3%
본 1
 
5.3%
금 1
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16
84.2%
Other Letter 3
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
87.5%
6 1
 
6.2%
5 1
 
6.2%
Other Letter
ValueCountFrequency (%)
자 1
33.3%
본 1
33.3%
금 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 16
84.2%
Hangul 3
 
15.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14
87.5%
6 1
 
6.2%
5 1
 
6.2%
Hangul
ValueCountFrequency (%)
자 1
33.3%
본 1
33.3%
금 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16
84.2%
Hangul 3
 
15.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14
87.5%
6 1
 
6.2%
5 1
 
6.2%
Hangul
ValueCountFrequency (%)
자 1
33.3%
본 1
33.3%
금 1
33.3%

jtupsomainedf
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:27.119159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters10
Distinct characters10
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 (%)100.0%

Sample

1st row커피
2nd row전통업소주된음식
ValueCountFrequency (%)
커피 1
50.0%
전통업소주된음식 1
50.0%
2024-04-18T00:14:27.353366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
커 1
10.0%
피 1
10.0%
전 1
10.0%
통 1
10.0%
업 1
10.0%
소 1
10.0%
주 1
10.0%
된 1
10.0%
음 1
10.0%
식 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
커 1
10.0%
피 1
10.0%
전 1
10.0%
통 1
10.0%
업 1
10.0%
소 1
10.0%
주 1
10.0%
된 1
10.0%
음 1
10.0%
식 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
커 1
10.0%
피 1
10.0%
전 1
10.0%
통 1
10.0%
업 1
10.0%
소 1
10.0%
주 1
10.0%
된 1
10.0%
음 1
10.0%
식 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
커 1
10.0%
피 1
10.0%
전 1
10.0%
통 1
10.0%
업 1
10.0%
소 1
10.0%
주 1
10.0%
된 1
10.0%
음 1
10.0%
식 1
10.0%

jtupsoasgnno
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:27.459856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13.5
Mean length13.5
Min length8

Characters and Unicode

Total characters27
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row2021-02-01 05:24:08
2nd row전통업소지정번호
ValueCountFrequency (%)
2021-02-01 1
33.3%
05:24:08 1
33.3%
전통업소지정번호 1
33.3%
2024-04-18T00:14:27.654801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
18.5%
2 4
14.8%
1 2
 
7.4%
- 2
 
7.4%
: 2
 
7.4%
업 1
 
3.7%
번 1
 
3.7%
정 1
 
3.7%
지 1
 
3.7%
소 1
 
3.7%
Other values (7) 7
25.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14
51.9%
Other Letter 8
29.6%
Dash Punctuation 2
 
7.4%
Other Punctuation 2
 
7.4%
Space Separator 1
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1
12.5%
번 1
12.5%
정 1
12.5%
지 1
12.5%
소 1
12.5%
통 1
12.5%
전 1
12.5%
호 1
12.5%
Decimal Number
ValueCountFrequency (%)
0 5
35.7%
2 4
28.6%
1 2
 
14.3%
8 1
 
7.1%
4 1
 
7.1%
5 1
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
: 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19
70.4%
Hangul 8
29.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
26.3%
2 4
21.1%
1 2
 
10.5%
- 2
 
10.5%
: 2
 
10.5%
8 1
 
5.3%
4 1
 
5.3%
5 1
 
5.3%
1
 
5.3%
Hangul
ValueCountFrequency (%)
업 1
12.5%
번 1
12.5%
정 1
12.5%
지 1
12.5%
소 1
12.5%
통 1
12.5%
전 1
12.5%
호 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19
70.4%
Hangul 8
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
26.3%
2 4
21.1%
1 2
 
10.5%
- 2
 
10.5%
: 2
 
10.5%
8 1
 
5.3%
4 1
 
5.3%
5 1
 
5.3%
1
 
5.3%
Hangul
ValueCountFrequency (%)
업 1
12.5%
번 1
12.5%
정 1
12.5%
지 1
12.5%
소 1
12.5%
통 1
12.5%
전 1
12.5%
호 1
12.5%

mnfactreartclcn
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:27.762010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
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 row제작취급품목내용
ValueCountFrequency (%)
제작취급품목내용 1
100.0%
2024-04-18T00:14:27.997118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 1
12.5%
작 1
12.5%
취 1
12.5%
급 1
12.5%
품 1
12.5%
목 1
12.5%
내 1
12.5%
용 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1
12.5%
작 1
12.5%
취 1
12.5%
급 1
12.5%
품 1
12.5%
목 1
12.5%
내 1
12.5%
용 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1
12.5%
작 1
12.5%
취 1
12.5%
급 1
12.5%
품 1
12.5%
목 1
12.5%
내 1
12.5%
용 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 1
12.5%
작 1
12.5%
취 1
12.5%
급 1
12.5%
품 1
12.5%
목 1
12.5%
내 1
12.5%
용 1
12.5%

chaircnt
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:28.083575image/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 row좌석수
ValueCountFrequency (%)
좌석수 1
100.0%
2024-04-18T00:14:28.245980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
좌 1
33.3%
석 1
33.3%
수 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
좌 1
33.3%
석 1
33.3%
수 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
좌 1
33.3%
석 1
33.3%
수 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
좌 1
33.3%
석 1
33.3%
수 1
33.3%

nearenvnm
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:28.365530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length6.5
Min length5

Characters and Unicode

Total characters13
Distinct characters13
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 (%)100.0%

Sample

1st row주변환경명
2nd row유흥업소밀집지역
ValueCountFrequency (%)
주변환경명 1
50.0%
유흥업소밀집지역 1
50.0%
2024-04-18T00:14:28.576783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1
 
7.7%
변 1
 
7.7%
환 1
 
7.7%
경 1
 
7.7%
명 1
 
7.7%
유 1
 
7.7%
흥 1
 
7.7%
업 1
 
7.7%
소 1
 
7.7%
밀 1
 
7.7%
Other values (3) 3
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1
 
7.7%
변 1
 
7.7%
환 1
 
7.7%
경 1
 
7.7%
명 1
 
7.7%
유 1
 
7.7%
흥 1
 
7.7%
업 1
 
7.7%
소 1
 
7.7%
밀 1
 
7.7%
Other values (3) 3
23.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1
 
7.7%
변 1
 
7.7%
환 1
 
7.7%
경 1
 
7.7%
명 1
 
7.7%
유 1
 
7.7%
흥 1
 
7.7%
업 1
 
7.7%
소 1
 
7.7%
밀 1
 
7.7%
Other values (3) 3
23.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1
 
7.7%
변 1
 
7.7%
환 1
 
7.7%
경 1
 
7.7%
명 1
 
7.7%
유 1
 
7.7%
흥 1
 
7.7%
업 1
 
7.7%
소 1
 
7.7%
밀 1
 
7.7%
Other values (3) 3
23.1%

jisgnumlay
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing9996
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:28.681991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11.5
Mean length10.75
Min length1

Characters and Unicode

Total characters43
Distinct characters12
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row2021-02-01 05:24:05
2nd row2021-02-01 05:24:05
3rd row지상층수
4th row4
ValueCountFrequency (%)
2021-02-01 2
33.3%
05:24:05 2
33.3%
지상층수 1
16.7%
4 1
16.7%
2024-04-18T00:14:28.881613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
23.3%
2 8
18.6%
1 4
 
9.3%
- 4
 
9.3%
5 4
 
9.3%
: 4
 
9.3%
4 3
 
7.0%
2
 
4.7%
지 1
 
2.3%
상 1
 
2.3%
Other values (2) 2
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
67.4%
Dash Punctuation 4
 
9.3%
Other Punctuation 4
 
9.3%
Other Letter 4
 
9.3%
Space Separator 2
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
34.5%
2 8
27.6%
1 4
 
13.8%
5 4
 
13.8%
4 3
 
10.3%
Other Letter
ValueCountFrequency (%)
지 1
25.0%
상 1
25.0%
층 1
25.0%
수 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
: 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39
90.7%
Hangul 4
 
9.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
25.6%
2 8
20.5%
1 4
 
10.3%
- 4
 
10.3%
5 4
 
10.3%
: 4
 
10.3%
4 3
 
7.7%
2
 
5.1%
Hangul
ValueCountFrequency (%)
지 1
25.0%
상 1
25.0%
층 1
25.0%
수 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39
90.7%
Hangul 4
 
9.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
25.6%
2 8
20.5%
1 4
 
10.3%
- 4
 
10.3%
5 4
 
10.3%
: 4
 
10.3%
4 3
 
7.7%
2
 
5.1%
Hangul
ValueCountFrequency (%)
지 1
25.0%
상 1
25.0%
층 1
25.0%
수 1
25.0%

regnsenm
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:28.992436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Characters and Unicode

Total characters11
Distinct characters9
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 (%)100.0%

Sample

1st row지역구분명
2nd row일반상업지역
ValueCountFrequency (%)
지역구분명 1
50.0%
일반상업지역 1
50.0%
2024-04-18T00:14:29.189825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
구 1
9.1%
분 1
9.1%
명 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
구 1
9.1%
분 1
9.1%
명 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
구 1
9.1%
분 1
9.1%
명 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 2
18.2%
역 2
18.2%
구 1
9.1%
분 1
9.1%
명 1
9.1%
일 1
9.1%
반 1
9.1%
상 1
9.1%
업 1
9.1%

undernumlay
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:29.285263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Characters and Unicode

Total characters5
Distinct characters5
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

Unique2 ?
Unique (%)100.0%

Sample

1st row지하층수
2nd row1
ValueCountFrequency (%)
지하층수 1
50.0%
1 1
50.0%
2024-04-18T00:14:29.480514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 1
20.0%
하 1
20.0%
층 1
20.0%
수 1
20.0%
1 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Decimal Number 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1
25.0%
하 1
25.0%
층 1
25.0%
수 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1
25.0%
하 1
25.0%
층 1
25.0%
수 1
25.0%
Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 1
25.0%
하 1
25.0%
층 1
25.0%
수 1
25.0%
ASCII
ValueCountFrequency (%)
1 1
100.0%

totepnum
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:29.577941image/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 row총종업원수
ValueCountFrequency (%)
총종업원수 1
100.0%
2024-04-18T00:14:29.796119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
총 1
20.0%
종 1
20.0%
업 1
20.0%
원 1
20.0%
수 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
총 1
20.0%
종 1
20.0%
업 1
20.0%
원 1
20.0%
수 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
총 1
20.0%
종 1
20.0%
업 1
20.0%
원 1
20.0%
수 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
총 1
20.0%
종 1
20.0%
업 1
20.0%
원 1
20.0%
수 1
20.0%

totnumlay
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:29.899872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2
Min length1

Characters and Unicode

Total characters4
Distinct characters4
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

Unique2 ?
Unique (%)100.0%

Sample

1st row총층수
2nd row4
ValueCountFrequency (%)
총층수 1
50.0%
4 1
50.0%
2024-04-18T00:14:30.116119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
총 1
25.0%
층 1
25.0%
수 1
25.0%
4 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
75.0%
Decimal Number 1
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
총 1
33.3%
층 1
33.3%
수 1
33.3%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
75.0%
Common 1
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
총 1
33.3%
층 1
33.3%
수 1
33.3%
Common
ValueCountFrequency (%)
4 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
75.0%
ASCII 1
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
총 1
33.3%
층 1
33.3%
수 1
33.3%
ASCII
ValueCountFrequency (%)
4 1
100.0%

homepage
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:30.213084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
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

Unique1 ?
Unique (%)100.0%

Sample

1st row홈페이지
ValueCountFrequency (%)
홈페이지 1
100.0%
2024-04-18T00:14:30.384437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
홈 1
25.0%
페 1
25.0%
이 1
25.0%
지 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홈 1
25.0%
페 1
25.0%
이 1
25.0%
지 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홈 1
25.0%
페 1
25.0%
이 1
25.0%
지 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
홈 1
25.0%
페 1
25.0%
이 1
25.0%
지 1
25.0%

meetsamtimesygstf
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2024-04-18T00:14:30.497810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10
Distinct characters10
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 row회의실별동시수용인원
ValueCountFrequency (%)
회의실별동시수용인원 1
100.0%
2024-04-18T00:14:30.700272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 1
10.0%
의 1
10.0%
실 1
10.0%
별 1
10.0%
동 1
10.0%
시 1
10.0%
수 1
10.0%
용 1
10.0%
인 1
10.0%
원 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 1
10.0%
의 1
10.0%
실 1
10.0%
별 1
10.0%
동 1
10.0%
시 1
10.0%
수 1
10.0%
용 1
10.0%
인 1
10.0%
원 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 1
10.0%
의 1
10.0%
실 1
10.0%
별 1
10.0%
동 1
10.0%
시 1
10.0%
수 1
10.0%
용 1
10.0%
인 1
10.0%
원 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 1
10.0%
의 1
10.0%
실 1
10.0%
별 1
10.0%
동 1
10.0%
시 1
10.0%
수 1
10.0%
용 1
10.0%
인 1
10.0%
원 1
10.0%

last_load_dttm
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021-02-01 05:24:09
2119 
2021-02-01 05:24:05
2008 
2021-02-01 05:24:08
1992 
2021-02-01 05:24:11
1758 
2021-02-01 05:24:06
1566 
Other values (2)
557 

Length

Max length19
Median length19
Mean length18.994
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-01 05:24:06
2nd row2021-02-01 05:24:04
3rd row2021-02-01 05:24:09
4th row2021-02-01 05:24:11
5th row2021-02-01 05:24:11

Common Values

ValueCountFrequency (%)
2021-02-01 05:24:09 2119
21.2%
2021-02-01 05:24:05 2008
20.1%
2021-02-01 05:24:08 1992
19.9%
2021-02-01 05:24:11 1758
17.6%
2021-02-01 05:24:06 1566
15.7%
2021-02-01 05:24:04 553
 
5.5%
<NA> 4
 
< 0.1%

Length

2024-04-18T00:14:30.801749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:14:30.911654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-01 9996
50.0%
05:24:09 2119
 
10.6%
05:24:05 2008
 
10.0%
05:24:08 1992
 
10.0%
05:24:11 1758
 
8.8%
05:24:06 1566
 
7.8%
05:24:04 553
 
2.8%
na 4
 
< 0.1%

Sample

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelstroomcntbdngownsenmbdngsrvnmcnstyareafctyowkepcntfctypdtjobepcntfctysiljobepcntwtrsplyfacilsenmsvnsrplninsurstdtplninsurenddtmaneipcntplayutscntdtlplayfacilcntmultusnupsoynlvsenmstagearculwrkrsenmculphyedcobnmgeicpfacilenbcfacilenisreaminsurorgnminsurstdtinsurenddthoffepcntafcshpinfoshpcntshptottonsfacilscpfacilarfaciltotscpinfobenwmeipcntengstntrnmnmengstntrnmaddrtrdpjubnsenmmonamsntuptaenmdispenencaptjtupsomainedfjtupsoasgnnomnfactreartclcnchaircntnearenvnmjisgnumlayregnsenmundernumlaytotepnumtotnumlayhomepagemeetsamtimesygstflast_load_dttm
6932693133000003300000-104-1994-0066807_24_05_PI2018-08-31 23:59:59.0NaN피자클럽607814.0부산광역시 동래구 사직동 48-14번지48947<NA>19940205.019990510<NA><NA><NA>02폐업387642.040284191102.38840919990510000000패스트푸드051-123-1234<NA><NA><NA><NA><NA>NaNNaN<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>기타NaN패스트푸드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:06
92091732500003250000-104-2010-0001107_24_05_PI2018-08-31 23:59:59.0NaN호미빙남포점600819.0부산광역시 중구 창선동2가 45-6번지 외 7필지 (2층)48953부산광역시 중구 광복로 32-1, 2층 (창선동2가, 외 7필지)20100730.020170522<NA><NA><NA>02폐업384970.541103179981.53666320170522111032패스트푸드051-123-1234<NA><NA><NA><NA><NA>NaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>191.48<NA>NaN<NA><NA><NA>NaN패스트푸드<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:04
193441934033900003390000-104-1997-0292207_24_05_PI2018-08-31 23:59:59.0NaN임페리얼 제과점617802.0부산광역시 사상구 감전동 122-27번지48947<NA>1997022819970703.0<NA><NA><NA>2폐업380712.874176186264.36465220011220000000과자점051-123-1234<NA><NA><NA><NA><NA>NaNNaN<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>32.52<NA>0.0<NA><NA>기타NaN과자점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:09
227142271232500003250000-101-1986-0162907_24_04_PI2018-08-31 23:59:59.0NaN명동칼국수600816.0부산광역시 중구 중앙동4가 84-10번지48947<NA>1986041620070314.0<NA><NA><NA>2폐업385687.937296180542.11358220080317125424분식051-123-1234<NA><NA><NA><NA><NA>NaNNaN<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>86.07<NA>0.0<NA><NA>기타NaN분식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:11
240302402932500003250000-101-2011-0000307_24_04_PI2018-08-31 23:59:59.0NaN썬더치킨600025.0부산광역시 중구 동광동5가 16-37번지 (1층)48921부산광역시 중구 동영로 4, 1층 (동광동5가)20110209NaN<NA><NA><NA>1영업385377.87958180925.37586720120314113740한식051-123-1234<NA><NA><NA><NA><NA>NaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>59.84<NA>NaN<NA><NA><NA>NaN한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:11
173051730533700003370000-104-1996-0203507_24_05_PI2018-08-31 23:59:59.0NaN연제제과점611829.0부산광역시 연제구 연산동 1363-14번지48947<NA>1996031519990628.0<NA><NA><NA>2폐업389249.100318189095.501719990628000000과자점051-123-1234<NA><NA><NA><NA><NA>NaNNaN<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>39.56<NA>0.0<NA><NA>기타NaN과자점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:09
196171961033900003390000-104-1993-0291407_24_05_PI2018-08-31 23:59:59.0NaN맛나당제과점617804.0부산광역시 사상구 감전동 601-4번지48947<NA>1993072119981010.0<NA><NA><NA>2폐업380381.663908186099.63849520011220000000과자점051-123-1234<NA><NA><NA><NA><NA>NaNNaN<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>18.4<NA>0.0<NA><NA>기타NaN과자점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:09
217912178432500003250000-101-2001-0322807_24_04_PI2018-08-31 23:59:59.0NaN나들이600061.0부산광역시 중구 신창동1가 39-6번지48947<NA>2001032620030827.0<NA><NA><NA>2폐업384976.580825180016.52259820020627000000한식051-123-1234<NA><NA><NA><NA><NA>NaNNaN<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>55.97<NA>0.0<NA><NA>기타NaN한식<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:11
197581975233900003390000-104-2010-0002507_24_05_PI2018-08-31 23:59:59.0NaN훼미리마트 신모라점617820.0부산광역시 사상구 모라동 512-2번지46931부산광역시 사상구 백양대로 888 (모라동)20100928NaN<NA><NA><NA>1영업381387.161108189516.78088220130327100931기타 휴게음식점051-123-1234<NA><NA><NA><NA><NA>NaNNaN<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>4.0<NA>NaN<NA><NA><NA>NaN기타 휴게음식점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:09
101561015733200003320000-104-2013-0000707_24_05_PI2018-08-31 23:59:59.0NaN금용스넥616854.0부산광역시 북구 화명동 1130-15번지 금용복합스포츠타운46537부산광역시 북구 금곡대로 230 (화명동, 금용복합스포츠타운)2013011620140115.0<NA><NA><NA>2.0폐업383255.807915194331.5296860000020130306131246일반조리판매051-123-1234<NA><NA><NA><NA><NA>NaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>35.0<NA>NaN<NA><NA><NA>NaN일반조리판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:08
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelstroomcntbdngownsenmbdngsrvnmcnstyareafctyowkepcntfctypdtjobepcntfctysiljobepcntwtrsplyfacilsenmsvnsrplninsurstdtplninsurenddtmaneipcntplayutscntdtlplayfacilcntmultusnupsoynlvsenmstagearculwrkrsenmculphyedcobnmgeicpfacilenbcfacilenisreaminsurorgnminsurstdtinsurenddthoffepcntafcshpinfoshpcntshptottonsfacilscpfacilarfaciltotscpinfobenwmeipcntengstntrnmnmengstntrnmaddrtrdpjubnsenmmonamsntuptaenmdispenencaptjtupsomainedfjtupsoasgnnomnfactreartclcnchaircntnearenvnmjisgnumlayregnsenmundernumlaytotepnumtotnumlayhomepagemeetsamtimesygstflast_load_dttm
5211520632900003290000-104-1971-0617107_24_05_PI2018-08-31 23:59:59.0NaN영신614827.0부산광역시 부산진구 범천동 845-0번지48947<NA>19710126.020000420<NA><NA><NA>02폐업387853.321733184973.38402320000420000000다방051-123-1234<NA><NA><NA><NA><NA>NaNNaN상수도전용<NA><NA><NA>0<NA><NA>N기타<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>84.5<NA>0<NA><NA>기타NaN다방<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:05
151831518233500003350000-104-1980-0042807_24_05_PI2018-08-31 23:59:59.0NaN연609832.0부산광역시 금정구 서동 280-22번지48947<NA>1980092720091120.0<NA><NA><NA>2.0폐업391669.278516192469.17876120010803000000다방051-123-1234<NA><NA><NA><NA><NA>NaNNaN<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>0.0<NA>0.0<NA><NA>기타NaN다방<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:09
7470747133000003300000-104-2008-0001707_24_05_PI2018-08-31 23:59:59.0NaN(주)탑스유통607835.0부산광역시 동래구 온천동 502-3번지 롯데마트내48947<NA>20080526.020080707<NA><NA><NA>02폐업389170.392207192570.83335920080614154347일반조리판매051-123-1234<NA><NA><NA><NA><NA>NaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>7.2<NA>NaN<NA><NA><NA>NaN일반조리판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:06
151721517033500003350000-104-1979-0063507_24_05_PI2018-08-31 23:59:59.0NaN미영당609825.0부산광역시 금정구 부곡동 505-11번지48947<NA>1979060420010418.0<NA><NA><NA>2.0폐업390586.04556194134.59150220010803000000과자점051-123-1234<NA><NA><NA><NA><NA>NaNNaN<NA><NA><NA><NA>NaN<NA><NA>N기타<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>0.0<NA>NaN<NA><NA>기타NaN과자점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:09
8907890033100003310000-104-2008-0002607_24_05_PI2018-08-31 23:59:59.0NaN까페테리아608812.0부산광역시 남구 대연동 948-1번지 부산박물관 제2전시관48529부산광역시 남구 유엔로 152 (대연동, 부산박물관 제2전시관)2008061320150320.0<NA><NA><NA>2.0폐업390772.798567183518.7617760000020150323161207일반조리판매051-123-1234<NA><NA><NA><NA><NA>NaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>139.96<NA>NaN<NA><NA><NA>NaN일반조리판매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:06
230532305132500003250000-101-1989-0200307_24_04_PI2018-08-31 23:59:59.0NaN맥시칸양념통닭(대청체인)600091.0부산광역시 중구 대청동1가 7번지48947<NA>1989112320100311.0<NA><NA><NA>2폐업<NA>NaN19990327000000기타051-123-1234<NA><NA><NA><NA><NA>NaNNaN<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>15.0<NA>0.0<NA><NA>기타NaN기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:11
139711397033400003340000-104-2016-0009507_24_05_PI2018-08-31 23:59:59.0NaN신정공인중개사사무소(필카페)604828.0부산광역시 사하구 당리동 317-44번지49328부산광역시 사하구 낙동대로398번길 6 (당리동)20161227NaN<NA><NA><NA>1.0영업380092.098032180380.1994580000020170119170943커피숍051-123-1234<NA><NA><NA><NA><NA>NaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N<NA><NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>6.5<NA>NaN<NA><NA><NA>NaN커피숍<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:08
1175117232600003260000-104-2017-0003607_24_05_PI2018-08-31 23:59:59.0NaN마리스커피602011.0부산광역시 서구 충무동1가 16-8번지49253부산광역시 서구 충무시장길 9 (충무동1가)20171026.0NaN<NA><NA><NA>01영업384543.896793179611.35481220171128093608커피숍051-123-1234<NA><NA><NA><NA><NA>NaNNaN<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>44.2<NA>NaN<NA><NA><NA>NaN커피숍<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:04
113381134333300003330000-104-2018-0018607_24_05_PI2018-08-31 23:59:59.0NaN핫푸드612704.0부산광역시 해운대구 우동 1500번지 벡스코48060부산광역시 해운대구 APEC로 55, 벡스코 (우동)2018071820180722.0<NA><NA><NA>2.0폐업394606.582838187941.1514610000020180725150201기타 휴게음식점051-123-1234<NA><NA><NA><NA><NA>NaNNaN<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>2021-02-01 05:24:08
5759575332900003290000-104-1993-0543407_24_05_PI2018-08-31 23:59:59.0NaN차울타리614850.0부산광역시 부산진구 부전동 524-2번지48947<NA>19931124.019970428<NA><NA><NA>02폐업387382.063577186152.02602119990623000000다방051-123-1234<NA><NA><NA><NA><NA>NaNNaN상수도전용<NA><NA><NA>NaN<NA><NA>N기타<NA><NA><NA><NA><NA>NaN<NA><NA><NA>NaN<NA><NA><NA><NA><NA><NA>41.5<NA>NaN<NA><NA>기타NaN다방<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:24:05