Overview

Dataset statistics

Number of variables56
Number of observations6191
Missing cells22669
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 MiB
Average record size in memory454.0 B

Variable types

Numeric6
Text11
Categorical38
DateTime1

Alerts

opnsvcid has constant value ""Constant
culwrkrsenm has constant value ""Constant
culphyedcobnm has constant value ""Constant
updategbn is highly imbalanced (50.6%)Imbalance
clgstdt is highly imbalanced (84.6%)Imbalance
clgenddt is highly imbalanced (84.6%)Imbalance
ropnymd is highly imbalanced (58.6%)Imbalance
dtlstatenm is highly imbalanced (61.8%)Imbalance
uptaenm is highly imbalanced (58.6%)Imbalance
sitetel is highly imbalanced (93.1%)Imbalance
bdngsrvnm is highly imbalanced (69.1%)Imbalance
perplaformsenm is highly imbalanced (58.6%)Imbalance
bfgameocptectcobnm is highly imbalanced (58.6%)Imbalance
souarfacilyn is highly imbalanced (53.8%)Imbalance
vdoretornm is highly imbalanced (58.6%)Imbalance
emerstairyn is highly imbalanced (58.2%)Imbalance
emexyn is highly imbalanced (59.8%)Imbalance
firefacilyn is highly imbalanced (58.6%)Imbalance
soundfacilyn is highly imbalanced (58.6%)Imbalance
prvdgathinnm is highly imbalanced (73.7%)Imbalance
mnfactreartclcn is highly imbalanced (58.6%)Imbalance
lghtfacilyn is highly imbalanced (58.6%)Imbalance
undernumlay is highly imbalanced (57.5%)Imbalance
bgroomyn is highly imbalanced (51.9%)Imbalance
totgasyscnt is highly imbalanced (58.6%)Imbalance
frstregts is highly imbalanced (58.6%)Imbalance
speclghtyn is highly imbalanced (54.0%)Imbalance
cnvefacilyn is highly imbalanced (58.6%)Imbalance
actlnm is highly imbalanced (58.6%)Imbalance
sitepostno has 4254 (68.7%) missing valuesMissing
rdnpostno has 2162 (34.9%) missing valuesMissing
rdnwhladdr has 363 (5.9%) missing valuesMissing
dcbymd has 3772 (60.9%) missing valuesMissing
x has 205 (3.3%) missing valuesMissing
y has 205 (3.3%) missing valuesMissing
noroomcnt has 1420 (22.9%) missing valuesMissing
facilar has 997 (16.1%) missing valuesMissing
lghtfacilinillu has 4641 (75.0%) missing valuesMissing
pasgbreth has 4650 (75.1%) missing valuesMissing
skey has unique valuesUnique

Reproduction

Analysis started2024-04-16 21:13:48.604721
Analysis finished2024-04-16 21:13:50.679753
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct6191
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3096.461
Minimum1
Maximum6193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.5 KiB
2024-04-17T06:13:50.733008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile310.5
Q11548.5
median3096
Q34644.5
95-th percentile5883.5
Maximum6193
Range6192
Interquartile range (IQR)3096

Descriptive statistics

Standard deviation1787.9308
Coefficient of variation (CV)0.57741104
Kurtosis-1.1998429
Mean3096.461
Median Absolute Deviation (MAD)1548
Skewness0.00059222356
Sum19170190
Variance3196696.4
MonotonicityNot monotonic
2024-04-17T06:13:50.835690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4160 1
 
< 0.1%
4135 1
 
< 0.1%
4134 1
 
< 0.1%
4133 1
 
< 0.1%
4132 1
 
< 0.1%
4131 1
 
< 0.1%
4130 1
 
< 0.1%
4129 1
 
< 0.1%
4128 1
 
< 0.1%
Other values (6181) 6181
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6193 1
< 0.1%
6192 1
< 0.1%
6191 1
< 0.1%
6190 1
< 0.1%
6189 1
< 0.1%
6188 1
< 0.1%
6187 1
< 0.1%
6186 1
< 0.1%
6185 1
< 0.1%
6184 1
< 0.1%

opnsfteamcode
Real number (ℝ)

Distinct184
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3579327.2
Minimum3000000
Maximum6520000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.5 KiB
2024-04-17T06:13:50.943523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3250000
Q13300000
median3350000
Q33390000
95-th percentile5220000
Maximum6520000
Range3520000
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation613587.75
Coefficient of variation (CV)0.17142545
Kurtosis6.6175156
Mean3579327.2
Median Absolute Deviation (MAD)50000
Skewness2.6331385
Sum2.2159614 × 1010
Variance3.7648993 × 1011
MonotonicityNot monotonic
2024-04-17T06:13:51.052910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3350000 688
 
11.1%
3290000 574
 
9.3%
3300000 461
 
7.4%
3330000 434
 
7.0%
3390000 352
 
5.7%
3320000 338
 
5.5%
3340000 316
 
5.1%
3380000 258
 
4.2%
3310000 247
 
4.0%
3370000 235
 
3.8%
Other values (174) 2288
37.0%
ValueCountFrequency (%)
3000000 3
 
< 0.1%
3010000 2
 
< 0.1%
3020000 7
0.1%
3030000 3
 
< 0.1%
3040000 5
 
0.1%
3050000 8
0.1%
3060000 16
0.3%
3070000 6
 
0.1%
3080000 14
0.2%
3090000 10
0.2%
ValueCountFrequency (%)
6520000 18
 
0.3%
6510000 31
0.5%
5710000 49
0.8%
5700000 1
 
< 0.1%
5690000 29
0.5%
5680000 7
 
0.1%
5670000 7
 
0.1%
5600000 1
 
< 0.1%
5590000 11
 
0.2%
5540000 8
 
0.1%

mgtno
Text

Distinct1058
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
2024-04-17T06:13:51.244288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters123820
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique345 ?
Unique (%)5.6%

Sample

1st rowCDFF3242052001000002
2nd rowCDFF3242052003000006
3rd rowCDFF3242052003000007
4th rowCDFF3242052003000008
5th rowCDFF3242052004000001
ValueCountFrequency (%)
cdff3242052019000001 215
 
3.5%
cdff3242052019000002 180
 
2.9%
cdff3242052020000001 169
 
2.7%
cdff3242052019000003 128
 
2.1%
cdff3242052020000002 106
 
1.7%
cdff3242052019000004 102
 
1.6%
cdff3242052019000005 75
 
1.2%
cdff3242052019000006 57
 
0.9%
cdff3242052020000003 56
 
0.9%
cdff3242052019000007 49
 
0.8%
Other values (1048) 5054
81.6%
2024-04-17T06:13:51.530698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41989
33.9%
2 19390
15.7%
F 12382
 
10.0%
3 7701
 
6.2%
4 7453
 
6.0%
5 7234
 
5.8%
1 6489
 
5.2%
C 6191
 
5.0%
D 6191
 
5.0%
9 5847
 
4.7%
Other values (3) 2953
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99056
80.0%
Uppercase Letter 24764
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41989
42.4%
2 19390
19.6%
3 7701
 
7.8%
4 7453
 
7.5%
5 7234
 
7.3%
1 6489
 
6.6%
9 5847
 
5.9%
8 1056
 
1.1%
6 952
 
1.0%
7 945
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 12382
50.0%
C 6191
25.0%
D 6191
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99056
80.0%
Latin 24764
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41989
42.4%
2 19390
19.6%
3 7701
 
7.8%
4 7453
 
7.5%
5 7234
 
7.3%
1 6489
 
6.6%
9 5847
 
5.9%
8 1056
 
1.1%
6 952
 
1.0%
7 945
 
1.0%
Latin
ValueCountFrequency (%)
F 12382
50.0%
C 6191
25.0%
D 6191
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 123820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41989
33.9%
2 19390
15.7%
F 12382
 
10.0%
3 7701
 
6.2%
4 7453
 
6.0%
5 7234
 
5.8%
1 6489
 
5.2%
C 6191
 
5.0%
D 6191
 
5.0%
9 5847
 
4.7%
Other values (3) 2953
 
2.4%

opnsvcid
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
03_09_01_P
6191 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_09_01_P
2nd row03_09_01_P
3rd row03_09_01_P
4th row03_09_01_P
5th row03_09_01_P

Common Values

ValueCountFrequency (%)
03_09_01_P 6191
100.0%

Length

2024-04-17T06:13:51.640585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:51.714307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_09_01_p 6191
100.0%

updategbn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
I
5523 
U
668 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 5523
89.2%
U 668
 
10.8%

Length

2024-04-17T06:13:51.787201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:51.861835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 5523
89.2%
u 668
 
10.8%
Distinct687
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 02:40:00
2024-04-17T06:13:51.949214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T06:13:52.061014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

opnsvcnm
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
4299 
노래연습장업
1892 

Length

Max length6
Median length4
Mean length4.6112098
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4299
69.4%
노래연습장업 1892
30.6%

Length

2024-04-17T06:13:52.168580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:52.257292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4299
69.4%
노래연습장업 1892
30.6%

bplcnm
Text

Distinct3662
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
2024-04-17T06:13:52.466226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length7.6932644
Min length1

Characters and Unicode

Total characters47629
Distinct characters777
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2645 ?
Unique (%)42.7%

Sample

1st row도레미노래연습장
2nd row호심
3rd row진양
4th row도깨비노래연습장
5th row남포노래연습장
ValueCountFrequency (%)
노래연습장 1472
 
17.5%
코인노래연습장 206
 
2.4%
동전노래연습장 72
 
0.9%
코인 67
 
0.8%
세븐스타코인노래연습장 53
 
0.6%
세븐스타 39
 
0.5%
스타노래연습장 36
 
0.4%
궁전노래연습장 34
 
0.4%
궁전 32
 
0.4%
락휴 31
 
0.4%
Other values (3435) 6383
75.8%
2024-04-17T06:13:52.808446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5084
 
10.7%
5081
 
10.7%
4983
 
10.5%
4967
 
10.4%
4924
 
10.3%
2235
 
4.7%
1036
 
2.2%
1011
 
2.1%
795
 
1.7%
402
 
0.8%
Other values (767) 17111
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43725
91.8%
Space Separator 2235
 
4.7%
Uppercase Letter 906
 
1.9%
Decimal Number 293
 
0.6%
Lowercase Letter 179
 
0.4%
Close Punctuation 108
 
0.2%
Open Punctuation 108
 
0.2%
Other Punctuation 52
 
0.1%
Dash Punctuation 20
 
< 0.1%
Letter Number 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5084
 
11.6%
5081
 
11.6%
4983
 
11.4%
4967
 
11.4%
4924
 
11.3%
1036
 
2.4%
1011
 
2.3%
795
 
1.8%
402
 
0.9%
395
 
0.9%
Other values (696) 15047
34.4%
Uppercase Letter
ValueCountFrequency (%)
O 118
 
13.0%
K 113
 
12.5%
P 66
 
7.3%
S 62
 
6.8%
B 53
 
5.8%
M 48
 
5.3%
C 38
 
4.2%
A 37
 
4.1%
G 36
 
4.0%
N 36
 
4.0%
Other values (16) 299
33.0%
Lowercase Letter
ValueCountFrequency (%)
o 24
13.4%
t 15
 
8.4%
e 15
 
8.4%
i 13
 
7.3%
r 13
 
7.3%
n 12
 
6.7%
g 11
 
6.1%
s 10
 
5.6%
a 10
 
5.6%
k 9
 
5.0%
Other values (13) 47
26.3%
Decimal Number
ValueCountFrequency (%)
2 131
44.7%
1 49
 
16.7%
0 35
 
11.9%
3 26
 
8.9%
7 15
 
5.1%
8 14
 
4.8%
5 12
 
4.1%
6 5
 
1.7%
4 5
 
1.7%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 35
67.3%
& 10
 
19.2%
# 3
 
5.8%
' 3
 
5.8%
% 1
 
1.9%
Space Separator
ValueCountFrequency (%)
2235
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Open Punctuation
ValueCountFrequency (%)
( 108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43720
91.8%
Common 2818
 
5.9%
Latin 1086
 
2.3%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5084
 
11.6%
5081
 
11.6%
4983
 
11.4%
4967
 
11.4%
4924
 
11.3%
1036
 
2.4%
1011
 
2.3%
795
 
1.8%
402
 
0.9%
395
 
0.9%
Other values (692) 15042
34.4%
Latin
ValueCountFrequency (%)
O 118
 
10.9%
K 113
 
10.4%
P 66
 
6.1%
S 62
 
5.7%
B 53
 
4.9%
M 48
 
4.4%
C 38
 
3.5%
A 37
 
3.4%
G 36
 
3.3%
N 36
 
3.3%
Other values (40) 479
44.1%
Common
ValueCountFrequency (%)
2235
79.3%
2 131
 
4.6%
) 108
 
3.8%
( 108
 
3.8%
1 49
 
1.7%
. 35
 
1.2%
0 35
 
1.2%
3 26
 
0.9%
- 20
 
0.7%
7 15
 
0.5%
Other values (11) 56
 
2.0%
Han
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43720
91.8%
ASCII 3903
 
8.2%
CJK 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5084
 
11.6%
5081
 
11.6%
4983
 
11.4%
4967
 
11.4%
4924
 
11.3%
1036
 
2.4%
1011
 
2.3%
795
 
1.8%
402
 
0.9%
395
 
0.9%
Other values (692) 15042
34.4%
ASCII
ValueCountFrequency (%)
2235
57.3%
2 131
 
3.4%
O 118
 
3.0%
K 113
 
2.9%
) 108
 
2.8%
( 108
 
2.8%
P 66
 
1.7%
S 62
 
1.6%
B 53
 
1.4%
1 49
 
1.3%
Other values (60) 860
 
22.0%
CJK
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

sitepostno
Text

MISSING 

Distinct365
Distinct (%)18.8%
Missing4254
Missing (%)68.7%
Memory size48.5 KiB
2024-04-17T06:13:53.075723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters11622
Distinct characters15
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

Unique139 ?
Unique (%)7.2%

Sample

1st row600023
2nd row600046
3rd row600045
4th row600092
5th row600060
ValueCountFrequency (%)
지번우편번호 516
26.6%
609839 81
 
4.2%
614847 35
 
1.8%
609848 31
 
1.6%
614846 21
 
1.1%
609843 20
 
1.0%
614853 19
 
1.0%
609837 19
 
1.0%
614845 18
 
0.9%
607833 18
 
0.9%
Other values (355) 1159
59.8%
2024-04-17T06:13:53.427560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 1658
14.3%
0 1535
13.2%
8 1419
12.2%
1032
8.9%
1 1022
8.8%
4 783
 
6.7%
9 641
 
5.5%
516
 
4.4%
516
 
4.4%
516
 
4.4%
Other values (5) 1984
17.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8526
73.4%
Other Letter 3096
 
26.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 1658
19.4%
0 1535
18.0%
8 1419
16.6%
1 1022
12.0%
4 783
9.2%
9 641
 
7.5%
2 454
 
5.3%
3 441
 
5.2%
7 366
 
4.3%
5 207
 
2.4%
Other Letter
ValueCountFrequency (%)
1032
33.3%
516
16.7%
516
16.7%
516
16.7%
516
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 8526
73.4%
Hangul 3096
 
26.6%

Most frequent character per script

Common
ValueCountFrequency (%)
6 1658
19.4%
0 1535
18.0%
8 1419
16.6%
1 1022
12.0%
4 783
9.2%
9 641
 
7.5%
2 454
 
5.3%
3 441
 
5.2%
7 366
 
4.3%
5 207
 
2.4%
Hangul
ValueCountFrequency (%)
1032
33.3%
516
16.7%
516
16.7%
516
16.7%
516
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8526
73.4%
Hangul 3096
 
26.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 1658
19.4%
0 1535
18.0%
8 1419
16.6%
1 1022
12.0%
4 783
9.2%
9 641
 
7.5%
2 454
 
5.3%
3 441
 
5.2%
7 366
 
4.3%
5 207
 
2.4%
Hangul
ValueCountFrequency (%)
1032
33.3%
516
16.7%
516
16.7%
516
16.7%
516
16.7%
Distinct4997
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
2024-04-17T06:13:53.719177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length24.038604
Min length8

Characters and Unicode

Total characters148823
Distinct characters484
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4170 ?
Unique (%)67.4%

Sample

1st row부산광역시 중구 보수동2가 118-1번지
2nd row부산광역시 중구 동광동3가 21-1번지
3rd row부산광역시 중구 남포동6가 6번지
4th row부산광역시 중구 부평동2가 22-3번지
5th row부산광역시 중구 남포동2가 21-1번지
ValueCountFrequency (%)
부산광역시 4475
 
16.3%
금정구 688
 
2.5%
부산진구 574
 
2.1%
경기도 562
 
2.1%
동래구 459
 
1.7%
해운대구 434
 
1.6%
북구 368
 
1.3%
사상구 352
 
1.3%
사하구 316
 
1.2%
지하1층 302
 
1.1%
Other values (6386) 18844
68.8%
2024-04-17T06:13:54.131562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27195
 
18.3%
6762
 
4.5%
1 6288
 
4.2%
6183
 
4.2%
6159
 
4.1%
5722
 
3.8%
5675
 
3.8%
- 5621
 
3.8%
5528
 
3.7%
5525
 
3.7%
Other values (474) 68165
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85992
57.8%
Decimal Number 29270
 
19.7%
Space Separator 27195
 
18.3%
Dash Punctuation 5621
 
3.8%
Close Punctuation 286
 
0.2%
Open Punctuation 286
 
0.2%
Other Punctuation 69
 
< 0.1%
Uppercase Letter 69
 
< 0.1%
Lowercase Letter 20
 
< 0.1%
Math Symbol 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6762
 
7.9%
6183
 
7.2%
6159
 
7.2%
5722
 
6.7%
5675
 
6.6%
5528
 
6.4%
5525
 
6.4%
4940
 
5.7%
4750
 
5.5%
1339
 
1.6%
Other values (426) 33409
38.9%
Uppercase Letter
ValueCountFrequency (%)
B 28
40.6%
C 7
 
10.1%
A 5
 
7.2%
G 5
 
7.2%
M 5
 
7.2%
T 4
 
5.8%
S 3
 
4.3%
D 2
 
2.9%
I 2
 
2.9%
K 2
 
2.9%
Other values (6) 6
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 6288
21.5%
2 4170
14.2%
3 3173
10.8%
4 2892
9.9%
5 2497
 
8.5%
6 2248
 
7.7%
0 2233
 
7.6%
7 1974
 
6.7%
8 1939
 
6.6%
9 1856
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
20.0%
g 4
20.0%
s 3
15.0%
r 2
10.0%
c 2
10.0%
m 1
 
5.0%
o 1
 
5.0%
l 1
 
5.0%
t 1
 
5.0%
a 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 56
81.2%
. 8
 
11.6%
/ 3
 
4.3%
& 1
 
1.4%
@ 1
 
1.4%
Letter Number
ValueCountFrequency (%)
2
50.0%
2
50.0%
Space Separator
ValueCountFrequency (%)
27195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5621
100.0%
Close Punctuation
ValueCountFrequency (%)
) 286
100.0%
Open Punctuation
ValueCountFrequency (%)
( 286
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85992
57.8%
Common 62738
42.2%
Latin 93
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6762
 
7.9%
6183
 
7.2%
6159
 
7.2%
5722
 
6.7%
5675
 
6.6%
5528
 
6.4%
5525
 
6.4%
4940
 
5.7%
4750
 
5.5%
1339
 
1.6%
Other values (426) 33409
38.9%
Latin
ValueCountFrequency (%)
B 28
30.1%
C 7
 
7.5%
A 5
 
5.4%
G 5
 
5.4%
M 5
 
5.4%
T 4
 
4.3%
e 4
 
4.3%
g 4
 
4.3%
S 3
 
3.2%
s 3
 
3.2%
Other values (18) 25
26.9%
Common
ValueCountFrequency (%)
27195
43.3%
1 6288
 
10.0%
- 5621
 
9.0%
2 4170
 
6.6%
3 3173
 
5.1%
4 2892
 
4.6%
5 2497
 
4.0%
6 2248
 
3.6%
0 2233
 
3.6%
7 1974
 
3.1%
Other values (10) 4447
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85992
57.8%
ASCII 62827
42.2%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27195
43.3%
1 6288
 
10.0%
- 5621
 
8.9%
2 4170
 
6.6%
3 3173
 
5.1%
4 2892
 
4.6%
5 2497
 
4.0%
6 2248
 
3.6%
0 2233
 
3.6%
7 1974
 
3.1%
Other values (36) 4536
 
7.2%
Hangul
ValueCountFrequency (%)
6762
 
7.9%
6183
 
7.2%
6159
 
7.2%
5722
 
6.7%
5675
 
6.6%
5528
 
6.4%
5525
 
6.4%
4940
 
5.7%
4750
 
5.5%
1339
 
1.6%
Other values (426) 33409
38.9%
Number Forms
ValueCountFrequency (%)
2
50.0%
2
50.0%

rdnpostno
Real number (ℝ)

MISSING 

Distinct1779
Distinct (%)44.2%
Missing2162
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean76453.122
Minimum1039
Maximum619951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.5 KiB
2024-04-17T06:13:54.249270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1039
5-th percentile6916.6
Q127142
median47013
Q348490
95-th percentile607836.6
Maximum619951
Range618912
Interquartile range (IQR)21348

Descriptive statistics

Standard deviation144447.42
Coefficient of variation (CV)1.8893593
Kurtosis9.6597943
Mean76453.122
Median Absolute Deviation (MAD)2452
Skewness3.3853622
Sum3.0802963 × 108
Variance2.0865057 × 1010
MonotonicityNot monotonic
2024-04-17T06:13:54.350545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49431 28
 
0.5%
47736 24
 
0.4%
47865 24
 
0.4%
48106 23
 
0.4%
48953 22
 
0.4%
47006 22
 
0.4%
48280 21
 
0.3%
46576 21
 
0.3%
47551 20
 
0.3%
48095 20
 
0.3%
Other values (1769) 3804
61.4%
(Missing) 2162
34.9%
ValueCountFrequency (%)
1039 1
 
< 0.1%
1053 1
 
< 0.1%
1054 1
 
< 0.1%
1071 2
 
< 0.1%
1072 6
0.1%
1079 1
 
< 0.1%
1081 1
 
< 0.1%
1219 1
 
< 0.1%
1323 1
 
< 0.1%
1343 3
< 0.1%
ValueCountFrequency (%)
619951 1
 
< 0.1%
619912 1
 
< 0.1%
619905 2
< 0.1%
619904 2
< 0.1%
619903 3
< 0.1%
618808 1
 
< 0.1%
617846 1
 
< 0.1%
617840 1
 
< 0.1%
617838 2
< 0.1%
617837 1
 
< 0.1%

rdnwhladdr
Text

MISSING 

Distinct4938
Distinct (%)84.7%
Missing363
Missing (%)5.9%
Memory size48.5 KiB
2024-04-17T06:13:54.631423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length53
Mean length28.373885
Min length18

Characters and Unicode

Total characters165363
Distinct characters547
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4350 ?
Unique (%)74.6%

Sample

1st row부산광역시 중구 흑교로45번길 5 (보수동2가)
2nd row부산광역시 중구 백산길 18 (동광동3가)
3rd row부산광역시 중구 중구로29번길 30-1 (부평동2가)
4th row부산광역시 중구 남포길 22-2 (남포동2가)
5th row부산광역시 중구 자갈치로37번길 4-1 (남포동5가)
ValueCountFrequency (%)
부산광역시 4114
 
12.4%
2층 668
 
2.0%
금정구 663
 
2.0%
경기도 562
 
1.7%
지하1층 529
 
1.6%
부산진구 527
 
1.6%
동래구 445
 
1.3%
해운대구 421
 
1.3%
3층 338
 
1.0%
사상구 333
 
1.0%
Other values (4887) 24497
74.0%
2024-04-17T06:13:55.031032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28785
 
17.4%
6814
 
4.1%
5960
 
3.6%
5561
 
3.4%
) 5454
 
3.3%
( 5454
 
3.3%
5447
 
3.3%
1 5420
 
3.3%
5268
 
3.2%
5234
 
3.2%
Other values (537) 85966
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96962
58.6%
Space Separator 28785
 
17.4%
Decimal Number 24790
 
15.0%
Close Punctuation 5454
 
3.3%
Open Punctuation 5454
 
3.3%
Other Punctuation 2754
 
1.7%
Dash Punctuation 991
 
0.6%
Uppercase Letter 120
 
0.1%
Math Symbol 27
 
< 0.1%
Lowercase Letter 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6814
 
7.0%
5960
 
6.1%
5561
 
5.7%
5447
 
5.6%
5268
 
5.4%
5234
 
5.4%
4755
 
4.9%
4414
 
4.6%
2616
 
2.7%
2137
 
2.2%
Other values (489) 48756
50.3%
Uppercase Letter
ValueCountFrequency (%)
B 52
43.3%
A 19
 
15.8%
C 9
 
7.5%
G 7
 
5.8%
M 6
 
5.0%
I 5
 
4.2%
K 4
 
3.3%
T 4
 
3.3%
N 4
 
3.3%
H 3
 
2.5%
Other values (6) 7
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
18.2%
g 3
13.6%
c 3
13.6%
s 3
13.6%
r 2
9.1%
b 1
 
4.5%
d 1
 
4.5%
t 1
 
4.5%
l 1
 
4.5%
o 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
1 5420
21.9%
2 4103
16.6%
3 2962
11.9%
0 2119
 
8.5%
4 2088
 
8.4%
5 1906
 
7.7%
6 1742
 
7.0%
7 1608
 
6.5%
8 1422
 
5.7%
9 1420
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 2746
99.7%
. 7
 
0.3%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
2
50.0%
2
50.0%
Space Separator
ValueCountFrequency (%)
28785
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5454
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 991
100.0%
Math Symbol
ValueCountFrequency (%)
~ 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96962
58.6%
Common 68255
41.3%
Latin 146
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6814
 
7.0%
5960
 
6.1%
5561
 
5.7%
5447
 
5.6%
5268
 
5.4%
5234
 
5.4%
4755
 
4.9%
4414
 
4.6%
2616
 
2.7%
2137
 
2.2%
Other values (489) 48756
50.3%
Latin
ValueCountFrequency (%)
B 52
35.6%
A 19
 
13.0%
C 9
 
6.2%
G 7
 
4.8%
M 6
 
4.1%
I 5
 
3.4%
e 4
 
2.7%
K 4
 
2.7%
T 4
 
2.7%
N 4
 
2.7%
Other values (20) 32
21.9%
Common
ValueCountFrequency (%)
28785
42.2%
) 5454
 
8.0%
( 5454
 
8.0%
1 5420
 
7.9%
2 4103
 
6.0%
3 2962
 
4.3%
, 2746
 
4.0%
0 2119
 
3.1%
4 2088
 
3.1%
5 1906
 
2.8%
Other values (8) 7218
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96962
58.6%
ASCII 68397
41.4%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28785
42.1%
) 5454
 
8.0%
( 5454
 
8.0%
1 5420
 
7.9%
2 4103
 
6.0%
3 2962
 
4.3%
, 2746
 
4.0%
0 2119
 
3.1%
4 2088
 
3.1%
5 1906
 
2.8%
Other values (36) 7360
 
10.8%
Hangul
ValueCountFrequency (%)
6814
 
7.0%
5960
 
6.1%
5561
 
5.7%
5447
 
5.6%
5268
 
5.4%
5234
 
5.4%
4755
 
4.9%
4414
 
4.6%
2616
 
2.7%
2137
 
2.2%
Other values (489) 48756
50.3%
Number Forms
ValueCountFrequency (%)
2
50.0%
2
50.0%

apvpermymd
Real number (ℝ)

Distinct3044
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20063767
Minimum19000101
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.5 KiB
2024-04-17T06:13:55.146327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19000101
5-th percentile19940202
Q119990466
median20021211
Q320181221
95-th percentile20200404
Maximum20210129
Range1210028
Interquartile range (IQR)190754.5

Descriptive statistics

Standard deviation95483.688
Coefficient of variation (CV)0.0047590109
Kurtosis0.97779229
Mean20063767
Median Absolute Deviation (MAD)60186
Skewness0.099405257
Sum1.2421478 × 1011
Variance9.1171347 × 109
MonotonicityNot monotonic
2024-04-17T06:13:55.257298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20021210 66
 
1.1%
20021211 60
 
1.0%
20021205 38
 
0.6%
20190329 26
 
0.4%
20021206 26
 
0.4%
19921013 25
 
0.4%
20191129 24
 
0.4%
20191227 24
 
0.4%
20021207 23
 
0.4%
20191115 21
 
0.3%
Other values (3034) 5858
94.6%
ValueCountFrequency (%)
19000101 1
 
< 0.1%
19920112 1
 
< 0.1%
19920710 1
 
< 0.1%
19920711 2
 
< 0.1%
19920713 7
0.1%
19920905 1
 
< 0.1%
19920907 2
 
< 0.1%
19920917 2
 
< 0.1%
19920919 1
 
< 0.1%
19920926 1
 
< 0.1%
ValueCountFrequency (%)
20210129 2
< 0.1%
20210125 1
< 0.1%
20210122 2
< 0.1%
20210121 1
< 0.1%
20210120 2
< 0.1%
20210118 1
< 0.1%
20210115 2
< 0.1%
20210114 1
< 0.1%
20210113 1
< 0.1%
20210112 1
< 0.1%

dcbymd
Text

MISSING 

Distinct1441
Distinct (%)59.6%
Missing3772
Missing (%)60.9%
Memory size48.5 KiB
2024-04-17T06:13:55.504322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.1517156
Min length4

Characters and Unicode

Total characters17300
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

Unique1133 ?
Unique (%)46.8%

Sample

1st row20040901
2nd row20050216
3rd row20071116
4th row20070227
5th row20120207
ValueCountFrequency (%)
폐업일자 513
 
21.2%
20071126 24
 
1.0%
20040317 16
 
0.7%
20081217 9
 
0.4%
20140703 8
 
0.3%
20100219 8
 
0.3%
20000214 7
 
0.3%
20170530 7
 
0.3%
20151228 7
 
0.3%
20140325 7
 
0.3%
Other values (1431) 1813
74.9%
2024-04-17T06:13:55.842887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5297
30.6%
2 3146
18.2%
1 2776
16.0%
3 713
 
4.1%
7 688
 
4.0%
6 592
 
3.4%
5 528
 
3.1%
513
 
3.0%
513
 
3.0%
513
 
3.0%
Other values (4) 2021
 
11.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15248
88.1%
Other Letter 2052
 
11.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5297
34.7%
2 3146
20.6%
1 2776
18.2%
3 713
 
4.7%
7 688
 
4.5%
6 592
 
3.9%
5 528
 
3.5%
4 508
 
3.3%
8 503
 
3.3%
9 497
 
3.3%
Other Letter
ValueCountFrequency (%)
513
25.0%
513
25.0%
513
25.0%
513
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15248
88.1%
Hangul 2052
 
11.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5297
34.7%
2 3146
20.6%
1 2776
18.2%
3 713
 
4.7%
7 688
 
4.5%
6 592
 
3.9%
5 528
 
3.5%
4 508
 
3.3%
8 503
 
3.3%
9 497
 
3.3%
Hangul
ValueCountFrequency (%)
513
25.0%
513
25.0%
513
25.0%
513
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15248
88.1%
Hangul 2052
 
11.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5297
34.7%
2 3146
20.6%
1 2776
18.2%
3 713
 
4.7%
7 688
 
4.5%
6 592
 
3.9%
5 528
 
3.5%
4 508
 
3.3%
8 503
 
3.3%
9 497
 
3.3%
Hangul
ValueCountFrequency (%)
513
25.0%
513
25.0%
513
25.0%
513
25.0%

clgstdt
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5666 
휴업시작일자
 
516
20201026
 
3
20201214
 
3
20120827
 
1
Other values (2)
 
2

Length

Max length8
Median length4
Mean length4.1725085
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5666
91.5%
휴업시작일자 516
 
8.3%
20201026 3
 
< 0.1%
20201214 3
 
< 0.1%
20120827 1
 
< 0.1%
20091029 1
 
< 0.1%
20200818 1
 
< 0.1%

Length

2024-04-17T06:13:55.961565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:56.058609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5666
91.5%
휴업시작일자 516
 
8.3%
20201026 3
 
< 0.1%
20201214 3
 
< 0.1%
20120827 1
 
< 0.1%
20091029 1
 
< 0.1%
20200818 1
 
< 0.1%

clgenddt
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5666 
휴업종료일자
 
516
20201130
 
3
20201223
 
3
20150824
 
1
Other values (2)
 
2

Length

Max length8
Median length4
Mean length4.1725085
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5666
91.5%
휴업종료일자 516
 
8.3%
20201130 3
 
< 0.1%
20201223 3
 
< 0.1%
20150824 1
 
< 0.1%
20091104 1
 
< 0.1%
20201201 1
 
< 0.1%

Length

2024-04-17T06:13:56.158188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:56.250128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5666
91.5%
휴업종료일자 516
 
8.3%
20201130 3
 
< 0.1%
20201223 3
 
< 0.1%
20150824 1
 
< 0.1%
20091104 1
 
< 0.1%
20201201 1
 
< 0.1%

ropnymd
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
재개업일자
 
516

Length

Max length5
Median length4
Mean length4.0833468
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
재개업일자 516
 
8.3%

Length

2024-04-17T06:13:56.357557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:56.661695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
재개업일자 516
 
8.3%

trdstatenm
Categorical

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
13
2286 
영업/정상
1806 
03
1728 
35
 
133
31
 
97
Other values (10)
 
141

Length

Max length14
Median length2
Mean length2.8916169
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row13
2nd row03
3rd row03
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 2286
36.9%
영업/정상 1806
29.2%
03 1728
27.9%
35 133
 
2.1%
31 97
 
1.6%
폐업 61
 
1.0%
30 30
 
0.5%
25 13
 
0.2%
33 10
 
0.2%
<NA> 10
 
0.2%
Other values (5) 17
 
0.3%

Length

2024-04-17T06:13:56.750874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
13 2286
36.9%
영업/정상 1806
29.2%
03 1728
27.9%
35 133
 
2.1%
31 97
 
1.6%
폐업 61
 
1.0%
30 30
 
0.5%
25 13
 
0.2%
33 10
 
0.2%
na 10
 
0.2%
Other values (5) 17
 
0.3%

dtlstatenm
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
영업중
4107 
폐업
1789 
직권말소
 
135
등록취소
 
98
허가취소
 
30
Other values (4)
 
32

Length

Max length5
Median length3
Mean length2.7572282
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 4107
66.3%
폐업 1789
28.9%
직권말소 135
 
2.2%
등록취소 98
 
1.6%
허가취소 30
 
0.5%
영업정지 16
 
0.3%
지정취소 10
 
0.2%
휴업 5
 
0.1%
영업장폐쇄 1
 
< 0.1%

Length

2024-04-17T06:13:56.852112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:56.943161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 4107
66.3%
폐업 1789
28.9%
직권말소 135
 
2.2%
등록취소 98
 
1.6%
허가취소 30
 
0.5%
영업정지 16
 
0.3%
지정취소 10
 
0.2%
휴업 5
 
0.1%
영업장폐쇄 1
 
< 0.1%

x
Text

MISSING 

Distinct4700
Distinct (%)78.5%
Missing205
Missing (%)3.3%
Memory size48.5 KiB
2024-04-17T06:13:57.119697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.943535
Min length7

Characters and Unicode

Total characters119382
Distinct characters20
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3813 ?
Unique (%)63.7%

Sample

1st row384596.82640100000
2nd row385501.48186900000
3rd row384754.70921800000
4th row385220.72387000000
5th row384971.19099500000
ValueCountFrequency (%)
좌표정보(x 26
 
0.4%
191690.8808747 9
 
0.2%
208609.386752684 7
 
0.1%
398274.39006400000 7
 
0.1%
389728.19289000000 6
 
0.1%
389360.993759525 6
 
0.1%
170875.132162658 6
 
0.1%
400040.89421700000 6
 
0.1%
223015.954114646 5
 
0.1%
183987.408634926 4
 
0.1%
Other values (4690) 5904
98.6%
2024-04-17T06:13:57.403034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26306
22.0%
18716
15.7%
3 10739
9.0%
8 9060
 
7.6%
9 8144
 
6.8%
1 7374
 
6.2%
2 7029
 
5.9%
7 6714
 
5.6%
4 6535
 
5.5%
5 6465
 
5.4%
Other values (10) 12300
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 94553
79.2%
Space Separator 18716
 
15.7%
Other Punctuation 5925
 
5.0%
Other Letter 104
 
0.1%
Close Punctuation 26
 
< 0.1%
Uppercase Letter 26
 
< 0.1%
Open Punctuation 26
 
< 0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26306
27.8%
3 10739
11.4%
8 9060
 
9.6%
9 8144
 
8.6%
1 7374
 
7.8%
2 7029
 
7.4%
7 6714
 
7.1%
4 6535
 
6.9%
5 6465
 
6.8%
6 6187
 
6.5%
Other Letter
ValueCountFrequency (%)
26
25.0%
26
25.0%
26
25.0%
26
25.0%
Space Separator
ValueCountFrequency (%)
18716
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5925
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119252
99.9%
Hangul 104
 
0.1%
Latin 26
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26306
22.1%
18716
15.7%
3 10739
9.0%
8 9060
 
7.6%
9 8144
 
6.8%
1 7374
 
6.2%
2 7029
 
5.9%
7 6714
 
5.6%
4 6535
 
5.5%
5 6465
 
5.4%
Other values (5) 12170
10.2%
Hangul
ValueCountFrequency (%)
26
25.0%
26
25.0%
26
25.0%
26
25.0%
Latin
ValueCountFrequency (%)
X 26
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119278
99.9%
Hangul 104
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26306
22.1%
18716
15.7%
3 10739
9.0%
8 9060
 
7.6%
9 8144
 
6.8%
1 7374
 
6.2%
2 7029
 
5.9%
7 6714
 
5.6%
4 6535
 
5.5%
5 6465
 
5.4%
Other values (6) 12196
10.2%
Hangul
ValueCountFrequency (%)
26
25.0%
26
25.0%
26
25.0%
26
25.0%

y
Text

MISSING 

Distinct4700
Distinct (%)78.5%
Missing205
Missing (%)3.3%
Memory size48.5 KiB
2024-04-17T06:13:57.594986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.943535
Min length7

Characters and Unicode

Total characters119382
Distinct characters20
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3813 ?
Unique (%)63.7%

Sample

1st row180453.48548000000
2nd row180233.23297100000
3rd row180131.91871200000
4th row179923.53241600000
5th row179770.98985200000
ValueCountFrequency (%)
좌표정보(y 26
 
0.4%
446122.774558898 9
 
0.2%
410629.472499067 7
 
0.1%
188234.66906700000 7
 
0.1%
199652.82883000000 6
 
0.1%
191580.392783184 6
 
0.1%
447263.829719015 6
 
0.1%
188878.91983800000 6
 
0.1%
332198.530078572 5
 
0.1%
398036.218945423 4
 
0.1%
Other values (4690) 5904
98.6%
2024-04-17T06:13:57.882135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25759
21.6%
18638
15.6%
1 10996
9.2%
8 8620
 
7.2%
9 8348
 
7.0%
4 7536
 
6.3%
7 7020
 
5.9%
2 6660
 
5.6%
3 6628
 
5.6%
6 6622
 
5.5%
Other values (10) 12555
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 94605
79.2%
Space Separator 18638
 
15.6%
Other Punctuation 5925
 
5.0%
Other Letter 104
 
0.1%
Dash Punctuation 32
 
< 0.1%
Close Punctuation 26
 
< 0.1%
Uppercase Letter 26
 
< 0.1%
Open Punctuation 26
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25759
27.2%
1 10996
11.6%
8 8620
 
9.1%
9 8348
 
8.8%
4 7536
 
8.0%
7 7020
 
7.4%
2 6660
 
7.0%
3 6628
 
7.0%
6 6622
 
7.0%
5 6416
 
6.8%
Other Letter
ValueCountFrequency (%)
26
25.0%
26
25.0%
26
25.0%
26
25.0%
Space Separator
ValueCountFrequency (%)
18638
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5925
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119252
99.9%
Hangul 104
 
0.1%
Latin 26
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25759
21.6%
18638
15.6%
1 10996
9.2%
8 8620
 
7.2%
9 8348
 
7.0%
4 7536
 
6.3%
7 7020
 
5.9%
2 6660
 
5.6%
3 6628
 
5.6%
6 6622
 
5.6%
Other values (5) 12425
10.4%
Hangul
ValueCountFrequency (%)
26
25.0%
26
25.0%
26
25.0%
26
25.0%
Latin
ValueCountFrequency (%)
Y 26
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119278
99.9%
Hangul 104
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25759
21.6%
18638
15.6%
1 10996
9.2%
8 8620
 
7.2%
9 8348
 
7.0%
4 7536
 
6.3%
7 7020
 
5.9%
2 6660
 
5.6%
3 6628
 
5.6%
6 6622
 
5.6%
Other values (6) 12451
10.4%
Hangul
ValueCountFrequency (%)
26
25.0%
26
25.0%
26
25.0%
26
25.0%

lastmodts
Real number (ℝ)

Distinct5437
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0144977 × 1013
Minimum2.0021018 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.5 KiB
2024-04-17T06:13:57.998943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0021018 × 1013
5-th percentile2.0050315 × 1013
Q12.0100822 × 1013
median2.0160705 × 1013
Q32.0190419 × 1013
95-th percentile2.0200915 × 1013
Maximum2.0210129 × 1013
Range1.8911102 × 1011
Interquartile range (IQR)8.9596985 × 1010

Descriptive statistics

Standard deviation4.9256474 × 1010
Coefficient of variation (CV)0.0024450995
Kurtosis-0.62354729
Mean2.0144977 × 1013
Median Absolute Deviation (MAD)3.0519018 × 1010
Skewness-0.65865186
Sum1.2471755 × 1017
Variance2.4262003 × 1021
MonotonicityNot monotonic
2024-04-17T06:13:58.116404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030127161348 90
 
1.5%
20180108090959 65
 
1.0%
20021018125445 39
 
0.6%
20200710134452 4
 
0.1%
20200915163144 4
 
0.1%
20200717165016 4
 
0.1%
20191224152940 3
 
< 0.1%
20191227155409 3
 
< 0.1%
20200424105511 3
 
< 0.1%
20200427112102 3
 
< 0.1%
Other values (5427) 5973
96.5%
ValueCountFrequency (%)
20021018125445 39
0.6%
20021108150513 1
 
< 0.1%
20021214125753 1
 
< 0.1%
20021227155914 1
 
< 0.1%
20030108162736 1
 
< 0.1%
20030108163209 1
 
< 0.1%
20030109125515 1
 
< 0.1%
20030114154112 1
 
< 0.1%
20030117135220 1
 
< 0.1%
20030122091653 1
 
< 0.1%
ValueCountFrequency (%)
20210129145321 1
< 0.1%
20210129135225 2
< 0.1%
20210129113600 1
< 0.1%
20210128171329 1
< 0.1%
20210128111738 1
< 0.1%
20210128095704 1
< 0.1%
20210127164022 1
< 0.1%
20210126165322 1
< 0.1%
20210125105225 1
< 0.1%
20210122134859 2
< 0.1%

uptaenm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
업태구분명
 
516

Length

Max length5
Median length4
Mean length4.0833468
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
업태구분명 516
 
8.3%

Length

2024-04-17T06:13:58.222270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:58.313630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
업태구분명 516
 
8.3%

sitetel
Categorical

IMBALANCE 

Distinct38
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
051-123-1234
5910 
<NA>
 
160
전화번호
 
82
054-433-4625
 
3
041-567-7179
 
2
Other values (33)
 
34

Length

Max length12
Median length12
Mean length11.679858
Min length4

Unique

Unique32 ?
Unique (%)0.5%

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 5910
95.5%
<NA> 160
 
2.6%
전화번호 82
 
1.3%
054-433-4625 3
 
< 0.1%
041-567-7179 2
 
< 0.1%
031-377-7955 2
 
< 0.1%
293-2039 1
 
< 0.1%
522-6761 1
 
< 0.1%
524-5759 1
 
< 0.1%
051-866-1711 1
 
< 0.1%
Other values (28) 28
 
0.5%

Length

2024-04-17T06:13:58.432641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-123-1234 5910
95.5%
na 160
 
2.6%
전화번호 82
 
1.3%
054-433-4625 3
 
< 0.1%
041-567-7179 2
 
< 0.1%
031-377-7955 2
 
< 0.1%
558-2803 1
 
< 0.1%
02-3143-1201 1
 
< 0.1%
525-7777 1
 
< 0.1%
031-835-8828 1
 
< 0.1%
Other values (28) 28
 
0.5%

bdngsrvnm
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
3654 
근린생활시설
2214 
건물용도명
 
270
사무실
 
13
문화시설
 
11
Other values (12)
 
29

Length

Max length7
Median length4
Mean length4.7543208
Min length2

Unique

Unique8 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3654
59.0%
근린생활시설 2214
35.8%
건물용도명 270
 
4.4%
사무실 13
 
0.2%
문화시설 11
 
0.2%
기타 11
 
0.2%
유통시설 5
 
0.1%
숙박시설 3
 
< 0.1%
단독주택 2
 
< 0.1%
교육연구시설 1
 
< 0.1%
Other values (7) 7
 
0.1%

Length

2024-04-17T06:13:58.543190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3654
59.0%
근린생활시설 2214
35.8%
건물용도명 270
 
4.4%
사무실 13
 
0.2%
문화시설 11
 
0.2%
기타 11
 
0.2%
유통시설 5
 
0.1%
숙박시설 3
 
< 0.1%
단독주택 2
 
< 0.1%
교육연구시설 1
 
< 0.1%
Other values (7) 7
 
0.1%

perplaformsenm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
공연장형태구분명
 
516

Length

Max length8
Median length4
Mean length4.3333872
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
공연장형태구분명 516
 
8.3%

Length

2024-04-17T06:13:58.642431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:58.725747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
공연장형태구분명 516
 
8.3%

bfgameocptectcobnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
기존게임업외업종명
 
516

Length

Max length9
Median length4
Mean length4.416734
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
기존게임업외업종명 516
 
8.3%

Length

2024-04-17T06:13:58.802895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:58.882868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
기존게임업외업종명 516
 
8.3%

noroomcnt
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)1.0%
Missing1420
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean9.2793964
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size54.5 KiB
2024-04-17T06:13:58.963725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median7
Q311
95-th percentile22
Maximum70
Range69
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.5237602
Coefficient of variation (CV)0.70303714
Kurtosis10.005879
Mean9.2793964
Median Absolute Deviation (MAD)2
Skewness2.3183923
Sum44272
Variance42.559448
MonotonicityNot monotonic
2024-04-17T06:13:59.068105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5 710
11.5%
6 614
9.9%
4 541
 
8.7%
7 537
 
8.7%
8 390
 
6.3%
9 243
 
3.9%
10 188
 
3.0%
3 156
 
2.5%
12 126
 
2.0%
11 122
 
2.0%
Other values (37) 1144
18.5%
(Missing) 1420
22.9%
ValueCountFrequency (%)
1 35
 
0.6%
2 57
 
0.9%
3 156
 
2.5%
4 541
8.7%
5 710
11.5%
6 614
9.9%
7 537
8.7%
8 390
6.3%
9 243
 
3.9%
10 188
 
3.0%
ValueCountFrequency (%)
70 3
< 0.1%
68 1
 
< 0.1%
59 1
 
< 0.1%
57 1
 
< 0.1%
53 2
< 0.1%
50 1
 
< 0.1%
44 1
 
< 0.1%
43 1
 
< 0.1%
42 1
 
< 0.1%
40 4
0.1%

culwrkrsenm
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
유통관련업
6191 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 6191
100.0%

Length

2024-04-17T06:13:59.172269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:59.240258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 6191
100.0%

culphyedcobnm
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
노래연습장업
6191 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 6191
100.0%

Length

2024-04-17T06:13:59.310771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:59.383045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 6191
100.0%

souarfacilyn
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
N
4791 
Y
1217 
<NA>
 
125
 
58

Length

Max length4
Median length1
Mean length1.0605718
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowY
3rd rowN
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
N 4791
77.4%
Y 1217
 
19.7%
<NA> 125
 
2.0%
58
 
0.9%

Length

2024-04-17T06:13:59.477136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:59.555584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 4791
77.4%
y 1217
 
19.7%
na 125
 
2.0%
58
 
0.9%

vdoretornm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
비디오재생기명
 
516

Length

Max length7
Median length4
Mean length4.2500404
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
비디오재생기명 516
 
8.3%

Length

2024-04-17T06:13:59.642206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:59.724118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
비디오재생기명 516
 
8.3%

emerstairyn
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
N
5074 
Y
908 
<NA>
 
143
 
66

Length

Max length4
Median length1
Mean length1.0692941
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
N 5074
82.0%
Y 908
 
14.7%
<NA> 143
 
2.3%
66
 
1.1%

Length

2024-04-17T06:13:59.806476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:13:59.893804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 5074
82.0%
y 908
 
14.7%
na 143
 
2.3%
66
 
1.1%

emexyn
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
N
5113 
Y
900 
<NA>
 
127
 
51

Length

Max length4
Median length1
Mean length1.0615409
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
N 5113
82.6%
Y 900
 
14.5%
<NA> 127
 
2.1%
51
 
0.8%

Length

2024-04-17T06:13:59.990963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:00.078255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 5113
82.6%
y 900
 
14.5%
na 127
 
2.1%
51
 
0.8%

firefacilyn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
 
516

Length

Max length4
Median length4
Mean length3.7499596
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
516
 
8.3%

Length

2024-04-17T06:14:00.171646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:00.252912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
516
 
8.3%

facilar
Text

MISSING 

Distinct3447
Distinct (%)66.4%
Missing997
Missing (%)16.1%
Memory size48.5 KiB
2024-04-17T06:14:00.519561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.1673084
Min length1

Characters and Unicode

Total characters26839
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2611 ?
Unique (%)50.3%

Sample

1st row80
2nd row114.05
3rd row121.68
4th row130.81
5th row159.77
ValueCountFrequency (%)
99 52
 
1.0%
0 47
 
0.9%
132 30
 
0.6%
82.5 25
 
0.5%
165 21
 
0.4%
115.5 20
 
0.4%
92.4 19
 
0.4%
125.4 17
 
0.3%
66 17
 
0.3%
198 15
 
0.3%
Other values (3437) 4931
94.9%
2024-04-17T06:14:00.913876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4685
17.5%
. 4564
17.0%
2 2896
10.8%
4 1989
7.4%
8 1978
7.4%
9 1968
7.3%
5 1921
7.2%
3 1917
7.1%
6 1861
 
6.9%
7 1711
 
6.4%
Other values (5) 1349
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22263
83.0%
Other Punctuation 4564
 
17.0%
Other Letter 12
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4685
21.0%
2 2896
13.0%
4 1989
8.9%
8 1978
8.9%
9 1968
8.8%
5 1921
8.6%
3 1917
8.6%
6 1861
 
8.4%
7 1711
 
7.7%
0 1337
 
6.0%
Other Letter
ValueCountFrequency (%)
3
25.0%
3
25.0%
3
25.0%
3
25.0%
Other Punctuation
ValueCountFrequency (%)
. 4564
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26827
> 99.9%
Hangul 12
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4685
17.5%
. 4564
17.0%
2 2896
10.8%
4 1989
7.4%
8 1978
7.4%
9 1968
7.3%
5 1921
7.2%
3 1917
7.1%
6 1861
 
6.9%
7 1711
 
6.4%
Hangul
ValueCountFrequency (%)
3
25.0%
3
25.0%
3
25.0%
3
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26827
> 99.9%
Hangul 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4685
17.5%
. 4564
17.0%
2 2896
10.8%
4 1989
7.4%
8 1978
7.4%
9 1968
7.3%
5 1921
7.2%
3 1917
7.1%
6 1861
 
6.9%
7 1711
 
6.4%
Hangul
ValueCountFrequency (%)
3
25.0%
3
25.0%
3
25.0%
3
25.0%

soundfacilyn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
 
516

Length

Max length4
Median length4
Mean length3.7499596
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
516
 
8.3%

Length

2024-04-17T06:14:01.025701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:01.102108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
516
 
8.3%

autochaairyn
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
N
4583 
Y
1392 
<NA>
 
144
 
72

Length

Max length4
Median length1
Mean length1.0697787
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
N 4583
74.0%
Y 1392
 
22.5%
<NA> 144
 
2.3%
72
 
1.2%

Length

2024-04-17T06:14:01.182344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:01.262437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 4583
74.0%
y 1392
 
22.5%
na 144
 
2.3%
72
 
1.2%

prvdgathinnm
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5674 
제공게임물명
 
516
전체이용가
 
1

Length

Max length6
Median length4
Mean length4.1668551
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> 5674
91.6%
제공게임물명 516
 
8.3%
전체이용가 1
 
< 0.1%

Length

2024-04-17T06:14:01.352776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:01.434718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5674
91.6%
제공게임물명 516
 
8.3%
전체이용가 1
 
< 0.1%

mnfactreartclcn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
제작취급품목내용
 
516

Length

Max length8
Median length4
Mean length4.3333872
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
제작취급품목내용 516
 
8.3%

Length

2024-04-17T06:14:01.521009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:01.602127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
제작취급품목내용 516
 
8.3%

lghtfacilyn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
 
516

Length

Max length4
Median length4
Mean length3.7499596
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
516
 
8.3%

Length

2024-04-17T06:14:01.684238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:01.784468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
516
 
8.3%

lghtfacilinillu
Text

MISSING 

Distinct185
Distinct (%)11.9%
Missing4641
Missing (%)75.0%
Memory size48.5 KiB
2024-04-17T06:14:01.959134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length3.1658065
Min length1

Characters and Unicode

Total characters4907
Distinct characters16
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

Unique98 ?
Unique (%)6.3%

Sample

1st row40
2nd row44
3rd row38
4th row80
5th row45
ValueCountFrequency (%)
조명시설조도 373
24.1%
60 369
23.8%
35 142
 
9.2%
40 128
 
8.3%
30 54
 
3.5%
50 37
 
2.4%
100 22
 
1.4%
45 20
 
1.3%
80 14
 
0.9%
48 12
 
0.8%
Other values (175) 379
24.5%
2024-04-17T06:14:02.253328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
746
15.2%
0 734
15.0%
6 453
9.2%
373
7.6%
373
7.6%
373
7.6%
373
7.6%
5 332
6.8%
3 298
 
6.1%
4 274
 
5.6%
Other values (6) 578
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2611
53.2%
Other Letter 2238
45.6%
Other Punctuation 58
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 734
28.1%
6 453
17.3%
5 332
12.7%
3 298
11.4%
4 274
 
10.5%
1 196
 
7.5%
2 107
 
4.1%
7 85
 
3.3%
8 79
 
3.0%
9 53
 
2.0%
Other Letter
ValueCountFrequency (%)
746
33.3%
373
16.7%
373
16.7%
373
16.7%
373
16.7%
Other Punctuation
ValueCountFrequency (%)
. 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2669
54.4%
Hangul 2238
45.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 734
27.5%
6 453
17.0%
5 332
12.4%
3 298
11.2%
4 274
 
10.3%
1 196
 
7.3%
2 107
 
4.0%
7 85
 
3.2%
8 79
 
3.0%
. 58
 
2.2%
Hangul
ValueCountFrequency (%)
746
33.3%
373
16.7%
373
16.7%
373
16.7%
373
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2669
54.4%
Hangul 2238
45.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
746
33.3%
373
16.7%
373
16.7%
373
16.7%
373
16.7%
ASCII
ValueCountFrequency (%)
0 734
27.5%
6 453
17.0%
5 332
12.4%
3 298
11.2%
4 274
 
10.3%
1 196
 
7.3%
2 107
 
4.0%
7 85
 
3.2%
8 79
 
3.0%
. 58
 
2.2%

nearenvnm
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
4286 
기타
547 
주택가주변
531 
주변환경명
 
378
유흥업소밀집지역
 
265
Other values (4)
 
184

Length

Max length8
Median length4
Mean length4.2340494
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4286
69.2%
기타 547
 
8.8%
주택가주변 531
 
8.6%
주변환경명 378
 
6.1%
유흥업소밀집지역 265
 
4.3%
학교정화(상대) 122
 
2.0%
아파트지역 53
 
0.9%
학교정화(절대) 6
 
0.1%
결혼예식장주변 3
 
< 0.1%

Length

2024-04-17T06:14:02.368467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:02.471710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4286
69.2%
기타 547
 
8.8%
주택가주변 531
 
8.6%
주변환경명 378
 
6.1%
유흥업소밀집지역 265
 
4.3%
학교정화(상대 122
 
2.0%
아파트지역 53
 
0.9%
학교정화(절대 6
 
0.1%
결혼예식장주변 3
 
< 0.1%

jisgnumlay
Categorical

Distinct22
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
3404 
2
720 
3
514 
5
394 
4
 
315
Other values (17)
844 

Length

Max length4
Median length4
Mean length2.8064933
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row2
2nd row1
3rd row<NA>
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3404
55.0%
2 720
 
11.6%
3 514
 
8.3%
5 394
 
6.4%
4 315
 
5.1%
지상층수 303
 
4.9%
1 153
 
2.5%
6 109
 
1.8%
7 69
 
1.1%
8 62
 
1.0%
Other values (12) 148
 
2.4%

Length

2024-04-17T06:14:02.579278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3404
55.0%
2 720
 
11.6%
3 514
 
8.3%
5 394
 
6.4%
4 315
 
5.1%
지상층수 303
 
4.9%
1 153
 
2.5%
6 109
 
1.8%
7 69
 
1.1%
8 62
 
1.0%
Other values (12) 148
 
2.4%

regnsenm
Categorical

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
4000 
일반주거지역
416 
일반상업지역
 
395
준주거지역
 
379
주거지역
 
373
Other values (10)
628 

Length

Max length6
Median length4
Mean length4.4210951
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4000
64.6%
일반주거지역 416
 
6.7%
일반상업지역 395
 
6.4%
준주거지역 379
 
6.1%
주거지역 373
 
6.0%
지역구분명 294
 
4.7%
상업지역 139
 
2.2%
근린상업지역 75
 
1.2%
중심상업지역 49
 
0.8%
관리지역 33
 
0.5%
Other values (5) 38
 
0.6%

Length

2024-04-17T06:14:02.680048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4000
64.6%
일반주거지역 416
 
6.7%
일반상업지역 395
 
6.4%
준주거지역 379
 
6.1%
주거지역 373
 
6.0%
지역구분명 294
 
4.7%
상업지역 139
 
2.2%
근린상업지역 75
 
1.2%
중심상업지역 49
 
0.8%
관리지역 33
 
0.5%
Other values (5) 38
 
0.6%

undernumlay
Categorical

IMBALANCE 

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
3555 
1
1963 
지하층수
383 
2
 
135
0
 
102
Other values (7)
 
53

Length

Max length4
Median length4
Mean length2.9084154
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 3555
57.4%
1 1963
31.7%
지하층수 383
 
6.2%
2 135
 
2.2%
0 102
 
1.6%
3 34
 
0.5%
6 7
 
0.1%
4 6
 
0.1%
5 3
 
< 0.1%
10 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Length

2024-04-17T06:14:02.775279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3555
57.4%
1 1963
31.7%
지하층수 383
 
6.2%
2 135
 
2.2%
0 102
 
1.6%
3 34
 
0.5%
6 7
 
0.1%
4 6
 
0.1%
5 3
 
< 0.1%
10 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

bgroomcnt
Categorical

Distinct47
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
3218 
1
601 
2
499 
3
 
240
청소년실수
 
191
Other values (42)
1442 

Length

Max length5
Median length4
Mean length2.8134389
Min length1

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row7

Common Values

ValueCountFrequency (%)
<NA> 3218
52.0%
1 601
 
9.7%
2 499
 
8.1%
3 240
 
3.9%
청소년실수 191
 
3.1%
0 187
 
3.0%
4 123
 
2.0%
5 95
 
1.5%
20 74
 
1.2%
15 74
 
1.2%
Other values (37) 889
 
14.4%

Length

2024-04-17T06:14:02.874458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3218
52.0%
1 601
 
9.7%
2 499
 
8.1%
3 240
 
3.9%
청소년실수 191
 
3.1%
0 187
 
3.0%
4 123
 
2.0%
5 95
 
1.5%
20 74
 
1.2%
15 74
 
1.2%
Other values (37) 889
 
14.4%

bgroomyn
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
N
4410 
Y
1691 
<NA>
 
59
 
31

Length

Max length4
Median length1
Mean length1.0285899
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowN
5th rowY

Common Values

ValueCountFrequency (%)
N 4410
71.2%
Y 1691
 
27.3%
<NA> 59
 
1.0%
31
 
0.5%

Length

2024-04-17T06:14:02.979478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:03.068108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 4410
71.2%
y 1691
 
27.3%
na 59
 
1.0%
31
 
0.5%

totgasyscnt
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
총게임기수
 
516

Length

Max length5
Median length4
Mean length4.0833468
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
총게임기수 516
 
8.3%

Length

2024-04-17T06:14:03.395519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:03.468642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
총게임기수 516
 
8.3%

totnumlay
Categorical

Distinct27
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
3518 
5
562 
3
374 
4
371 
총층수
 
334
Other values (22)
1032 

Length

Max length4
Median length4
Mean length2.8349217
Min length1

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row4
2nd row3
3rd row6
4th row5
5th row4

Common Values

ValueCountFrequency (%)
<NA> 3518
56.8%
5 562
 
9.1%
3 374
 
6.0%
4 371
 
6.0%
총층수 334
 
5.4%
6 223
 
3.6%
1 191
 
3.1%
2 182
 
2.9%
7 98
 
1.6%
8 72
 
1.2%
Other values (17) 266
 
4.3%

Length

2024-04-17T06:14:03.571463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3518
56.8%
5 562
 
9.1%
3 374
 
6.0%
4 371
 
6.0%
총층수 334
 
5.4%
6 223
 
3.6%
1 191
 
3.1%
2 182
 
2.9%
7 98
 
1.6%
8 72
 
1.2%
Other values (17) 266
 
4.3%

frstregts
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
최초등록시점
 
516

Length

Max length6
Median length4
Mean length4.1666936
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
최초등록시점 516
 
8.3%

Length

2024-04-17T06:14:03.677759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:03.766220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
최초등록시점 516
 
8.3%

pasgbreth
Text

MISSING 

Distinct69
Distinct (%)4.5%
Missing4650
Missing (%)75.1%
Memory size48.5 KiB
2024-04-17T06:14:03.936480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.96366
Min length1

Characters and Unicode

Total characters4567
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)2.3%

Sample

1st row1.3
2nd row1.2
3rd row1
4th row1
5th row1.45
ValueCountFrequency (%)
1.2 485
31.5%
통로너비 409
26.5%
1 240
15.6%
1.5 120
 
7.8%
1.3 45
 
2.9%
1.6 29
 
1.9%
1.4 27
 
1.8%
120 21
 
1.4%
2 15
 
1.0%
1.1 13
 
0.8%
Other values (59) 137
 
8.9%
2024-04-17T06:14:04.199643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1126
24.7%
. 800
17.5%
2 580
12.7%
409
 
9.0%
409
 
9.0%
409
 
9.0%
409
 
9.0%
5 171
 
3.7%
3 74
 
1.6%
0 50
 
1.1%
Other values (5) 130
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2131
46.7%
Other Letter 1636
35.8%
Other Punctuation 800
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1126
52.8%
2 580
27.2%
5 171
 
8.0%
3 74
 
3.5%
0 50
 
2.3%
6 49
 
2.3%
4 40
 
1.9%
7 20
 
0.9%
8 12
 
0.6%
9 9
 
0.4%
Other Letter
ValueCountFrequency (%)
409
25.0%
409
25.0%
409
25.0%
409
25.0%
Other Punctuation
ValueCountFrequency (%)
. 800
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2931
64.2%
Hangul 1636
35.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1126
38.4%
. 800
27.3%
2 580
19.8%
5 171
 
5.8%
3 74
 
2.5%
0 50
 
1.7%
6 49
 
1.7%
4 40
 
1.4%
7 20
 
0.7%
8 12
 
0.4%
Hangul
ValueCountFrequency (%)
409
25.0%
409
25.0%
409
25.0%
409
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2931
64.2%
Hangul 1636
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1126
38.4%
. 800
27.3%
2 580
19.8%
5 171
 
5.8%
3 74
 
2.5%
0 50
 
1.7%
6 49
 
1.7%
4 40
 
1.4%
7 20
 
0.7%
8 12
 
0.4%
Hangul
ValueCountFrequency (%)
409
25.0%
409
25.0%
409
25.0%
409
25.0%

speclghtyn
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
N
4920 
Y
1014 
<NA>
 
173
 
84

Length

Max length4
Median length1
Mean length1.0838314
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowY
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
N 4920
79.5%
Y 1014
 
16.4%
<NA> 173
 
2.8%
84
 
1.4%

Length

2024-04-17T06:14:04.312267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:04.396653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 4920
79.5%
y 1014
 
16.4%
na 173
 
2.8%
84
 
1.4%

cnvefacilyn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
 
516

Length

Max length4
Median length4
Mean length3.7499596
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
516
 
8.3%

Length

2024-04-17T06:14:04.484178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:04.561795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
516
 
8.3%

actlnm
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
<NA>
5675 
품목명
 
516

Length

Max length4
Median length4
Mean length3.9166532
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5675
91.7%
품목명 516
 
8.3%

Length

2024-04-17T06:14:04.640381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:04.714551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5675
91.7%
품목명 516
 
8.3%

last_load_dttm
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.5 KiB
2021-02-01 05:15:03
4194 
2021-02-01 05:15:04
1997 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-01 05:15:03
2nd row2021-02-01 05:15:03
3rd row2021-02-01 05:15:03
4th row2021-02-01 05:15:03
5th row2021-02-01 05:15:03

Common Values

ValueCountFrequency (%)
2021-02-01 05:15:03 4194
67.7%
2021-02-01 05:15:04 1997
32.3%

Length

2024-04-17T06:14:04.796496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T06:14:04.869481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-01 6191
50.0%
05:15:03 4194
33.9%
05:15:04 1997
 
16.1%

Sample

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelbdngsrvnmperplaformsenmbfgameocptectcobnmnoroomcntculwrkrsenmculphyedcobnmsouarfacilynvdoretornmemerstairynemexynfirefacilynfacilarsoundfacilynautochaairynprvdgathinnmmnfactreartclcnlghtfacilynlghtfacilinillunearenvnmjisgnumlayregnsenmundernumlaybgroomcntbgroomyntotgasyscnttotnumlayfrstregtspasgbrethspeclghtyncnvefacilynactlnmlast_load_dttm
013250000CDFF324205200100000203_09_01_PI2018-08-31 23:59:59.0<NA>도레미노래연습장<NA>부산광역시 중구 보수동2가 118-1번지48964부산광역시 중구 흑교로45번길 5 (보수동2가)20010924<NA><NA><NA><NA>13영업중384596.82640100000180453.4854800000020141107112320<NA>051-123-1234근린생활시설<NA><NA>3유통관련업노래연습장업N<NA>NN<NA>80<NA>N<NA><NA><NA><NA><NA>2<NA><NA><NA>N<NA>4<NA><NA>N<NA><NA>2021-02-01 05:15:03
123250000CDFF324205200300000603_09_01_PI2018-08-31 23:59:59.0<NA>호심600023부산광역시 중구 동광동3가 21-1번지<NA>부산광역시 중구 백산길 18 (동광동3가)2003041720040901<NA><NA><NA>03폐업385501.48186900000180233.2329710000020040901144719<NA>051-123-1234근린생활시설<NA><NA>3유통관련업노래연습장업Y<NA>NY<NA>114.05<NA>Y<NA><NA><NA>40기타1일반상업지역<NA><NA>N<NA>3<NA>1.3Y<NA><NA>2021-02-01 05:15:03
233250000CDFF324205200300000703_09_01_PI2018-08-31 23:59:59.0<NA>진양600046부산광역시 중구 남포동6가 6번지<NA><NA>2003070220050216<NA><NA><NA>03폐업<NA><NA>20050216174232<NA>051-123-1234근린생활시설<NA><NA>5유통관련업노래연습장업N<NA>YY<NA>121.68<NA>Y<NA><NA><NA>44<NA><NA><NA>1<NA>N<NA>6<NA>1.2Y<NA><NA>2021-02-01 05:15:03
343250000CDFF324205200300000803_09_01_PI2018-08-31 23:59:59.0<NA>도깨비노래연습장<NA>부산광역시 중구 부평동2가 22-3번지48977부산광역시 중구 중구로29번길 30-1 (부평동2가)20031215<NA><NA><NA><NA>13영업중384754.70921800000180131.9187120000020170314174221<NA>051-123-1234근린생활시설<NA><NA>5유통관련업노래연습장업Y<NA>YY<NA>130.81<NA>Y<NA><NA><NA>38<NA>2<NA><NA><NA>N<NA>5<NA>1Y<NA><NA>2021-02-01 05:15:03
453250000CDFF324205200400000103_09_01_PI2018-08-31 23:59:59.0<NA>남포노래연습장<NA>부산광역시 중구 남포동2가 21-1번지48953부산광역시 중구 남포길 22-2 (남포동2가)20040527<NA><NA><NA><NA>13영업중385220.72387000000179923.5324160000020120720110231<NA>051-123-1234근린생활시설<NA><NA>9유통관련업노래연습장업Y<NA>YY<NA>159.77<NA>Y<NA><NA><NA>80유흥업소밀집지역<NA>상업지역17Y<NA>4<NA>1Y<NA><NA>2021-02-01 05:15:03
563250000CDFF324205200500000103_09_01_PI2018-08-31 23:59:59.0<NA>열창노래연습장600045부산광역시 중구 남포동5가 90번지<NA>부산광역시 중구 자갈치로37번길 4-1 (남포동5가)20050223<NA><NA><NA><NA>30허가취소384971.19099500000179770.9898520000020051118121659<NA>051-123-1234근린생활시설<NA><NA><NA>유통관련업노래연습장업N<NA>NN<NA>138.28<NA>N<NA><NA><NA><NA><NA>4<NA>1<NA>N<NA>5<NA><NA>N<NA><NA>2021-02-01 05:15:03
673250000CDFF324205200600000103_09_01_PI2018-08-31 23:59:59.0<NA>GIV 노래연습장600092부산광역시 중구 대청동2가 34-1번지<NA>부산광역시 중구 광복중앙로 28-1 (대청동2가)2006040520071116<NA><NA><NA>03폐업385198.60018500000180287.4883950000020071116142528<NA>051-123-1234근린생활시설<NA><NA><NA>유통관련업노래연습장업N<NA>NN<NA>206.85<NA>N<NA><NA><NA><NA>학교정화(상대)5상업지역1<NA>N<NA>6<NA><NA>N<NA><NA>2021-02-01 05:15:03
783250000CDFF324205200200000903_09_01_PI2018-08-31 23:59:59.0<NA>600060부산광역시 중구 신창동1가 36-6번지<NA>부산광역시 중구 광복중앙로33번길 7-2 (신창동1가)2002080220070227<NA><NA><NA>03폐업385094.07382900000180302.1635580000020070227174949<NA>051-123-1234<NA><NA><NA>4유통관련업노래연습장업N<NA>NN<NA>41.5<NA>N<NA><NA><NA><NA><NA>1<NA><NA><NA>N<NA>2<NA><NA>N<NA><NA>2021-02-01 05:15:03
893250000CDFF324205200200001003_09_01_PI2018-08-31 23:59:59.0<NA>금호노래연습장<NA>부산광역시 중구 영주동 161번지48917부산광역시 중구 영주로 51-1 (영주동)20020131<NA><NA><NA><NA>13영업중385130.56549300000181318.9137460000020170206111033<NA>051-123-1234근린생활시설<NA><NA>14유통관련업노래연습장업N<NA>NN<NA>258.7<NA>N<NA><NA><NA><NA><NA><NA>일반주거지역1<NA>N<NA>3<NA><NA>N<NA><NA>2021-02-01 05:15:03
9103250000CDFF324205200200001103_09_01_PI2018-08-31 23:59:59.0<NA>라이브<NA>부산광역시 중구 창선동1가 6-1번지600051부산광역시 중구 광복로55번길 8 (창선동1가)2002060420120207<NA><NA><NA>35직권말소385175.33520100000180057.5588260000020120504141048<NA>051-123-1234근린생활시설<NA><NA>14유통관련업노래연습장업N<NA>NN<NA>177.7<NA>N<NA><NA><NA><NA><NA>4<NA><NA>14Y<NA>5<NA><NA>N<NA><NA>2021-02-01 05:15:03
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelbdngsrvnmperplaformsenmbfgameocptectcobnmnoroomcntculwrkrsenmculphyedcobnmsouarfacilynvdoretornmemerstairynemexynfirefacilynfacilarsoundfacilynautochaairynprvdgathinnmmnfactreartclcnlghtfacilynlghtfacilinillunearenvnmjisgnumlayregnsenmundernumlaybgroomcntbgroomyntotgasyscnttotnumlayfrstregtspasgbrethspeclghtyncnvefacilynactlnmlast_load_dttm
618161843380000CDFF324205202100000103_09_01_PI2021-01-17 00:23:04.0노래연습장업오엑스 코인노래연습장 수영교차로점지번우편번호부산광역시 수영구 광안동 1059-25 세은빌딩48242부산광역시 수영구 연수로 386, 2층 (광안동)20210115폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중392319.421408175187620.90260882520210115104635업태구분명전화번호건물용도명공연장형태구분명기존게임업외업종명10유통관련업노래연습장업비디오재생기명84.24제공게임물명제작취급품목내용1076주변환경명지상층수지역구분명지하층수10Y총게임기수총층수최초등록시점통로너비품목명2021-02-01 05:15:04
618261854680000CDFF324205202100000203_09_01_PI2021-01-20 00:23:04.0노래연습장업빵빵노래연습장지번우편번호전라북도 익산시 동산동 1054-3 빵빵노래연습장54609전라북도 익산시 서동로 104, 빵빵노래연습장 (동산동)20210118폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중196609.553402270420.03679820210118154709업태구분명전화번호문화시설공연장형태구분명기존게임업외업종명6유통관련업노래연습장업Y비디오재생기명YY179Y제공게임물명제작취급품목내용146유흥업소밀집지역지상층수일반상업지역10총게임기수총층수최초등록시점1.2품목명2021-02-01 05:15:04
618361863860000CDFF324205202100000103_09_01_PI2021-01-22 00:23:04.0노래연습장업별 노래연습장지번우편번호경기도 부천시 중동 1130-1214580경기도 부천시 조마루로297번길 13, 지하1층 (중동)20210120폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중180165.439171298444025.37715807320210120145616업태구분명전화번호건물용도명공연장형태구분명기존게임업외업종명3유통관련업노래연습장업비디오재생기명134.42제공게임물명제작취급품목내용조명시설조도주변환경명지상층수지역구분명지하층수청소년실수총게임기수총층수최초등록시점통로너비품목명2021-02-01 05:15:04
618461874880000CDFF324205202100000103_09_01_PI2021-01-22 00:23:04.0노래연습장업도화 자유 노래연습장<NA>전라남도 고흥군 도화면 당오리 533-2959529전라남도 고흥군 도화면 중심길 4220210120<NA><NA><NA><NA>영업/정상영업중229325.96701112567.09200820210120124807<NA><NA><NA><NA><NA>2유통관련업노래연습장업<NA><NA><NA><NA><NA>39.84<NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-02-01 05:15:04
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618661894400000CDFF324205202100000103_09_01_PI2021-01-24 00:23:04.0노래연습장업세븐스타코인노래연습장 제천장락점지번우편번호충청북도 제천시 장락동 543-427144충청북도 제천시 죽하로13길 9, 2층 (장락동)20210122폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중308652.001148406895.98729320210122134859업태구분명전화번호근린생활시설공연장형태구분명기존게임업외업종명13유통관련업노래연습장업Y비디오재생기명Y93.27Y제공게임물명제작취급품목내용조명시설조도주변환경명2지역구분명지하층수13Y총게임기수2최초등록시점통로너비품목명2021-02-01 05:15:04
618761904400000CDFF324205202100000103_09_01_PI2021-01-24 00:23:04.0노래연습장업세븐스타코인노래연습장 제천장락점지번우편번호충청북도 제천시 장락동 543-427144충청북도 제천시 죽하로13길 9, 2층 (장락동)20210122폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중308652.001148406895.98729320210122134859업태구분명전화번호근린생활시설공연장형태구분명기존게임업외업종명13유통관련업노래연습장업Y비디오재생기명Y93.27Y제공게임물명제작취급품목내용조명시설조도주변환경명2지역구분명지하층수13Y총게임기수2최초등록시점통로너비품목명2021-02-01 05:15:04
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