Overview

Dataset statistics

Number of variables30
Number of observations10000
Missing cells97828
Missing cells (%)32.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory266.0 B

Variable types

Categorical11
Text6
Unsupported5
DateTime1
Numeric6
Boolean1

Alerts

업태구분명정보 is highly imbalanced (53.8%)Imbalance
위생업태명 is highly imbalanced (81.2%)Imbalance
다중이용업소여부 is highly imbalanced (89.1%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 4089 (40.9%) missing valuesMissing
소재지시설전화번호 has 9128 (91.3%) missing valuesMissing
소재지면적정보 has 8168 (81.7%) missing valuesMissing
도로명우편번호 has 8697 (87.0%) missing valuesMissing
소재지도로명주소 has 695 (7.0%) missing valuesMissing
WGS84위도 has 244 (2.4%) missing valuesMissing
WGS84경도 has 244 (2.4%) missing valuesMissing
X좌표값 has 7999 (80.0%) missing valuesMissing
Y좌표값 has 7999 (80.0%) missing valuesMissing
건물소유구분명 has 10000 (100.0%) missing valuesMissing
다중이용업소여부 has 524 (5.2%) missing valuesMissing
시설총규모 has 10000 (100.0%) missing valuesMissing
전통업소지정번호 has 10000 (100.0%) missing valuesMissing
전통업소음식 has 10000 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-23 01:56:02.449112
Analysis finished2024-03-23 01:56:06.924573
Duration4.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
부천시
1470 
수원시
912 
고양시
857 
성남시
807 
용인시
704 
Other values (26)
5250 

Length

Max length4
Median length3
Mean length3.0739
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고양시
2nd row수원시
3rd row안성시
4th row광주시
5th row안양시

Common Values

ValueCountFrequency (%)
부천시 1470
14.7%
수원시 912
 
9.1%
고양시 857
 
8.6%
성남시 807
 
8.1%
용인시 704
 
7.0%
안산시 573
 
5.7%
안양시 540
 
5.4%
화성시 405
 
4.0%
남양주시 360
 
3.6%
의정부시 320
 
3.2%
Other values (21) 3052
30.5%

Length

2024-03-23T01:56:07.156652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 1470
14.7%
수원시 912
 
9.1%
고양시 857
 
8.6%
성남시 807
 
8.1%
용인시 704
 
7.0%
안산시 573
 
5.7%
안양시 540
 
5.4%
화성시 405
 
4.0%
남양주시 360
 
3.6%
의정부시 320
 
3.2%
Other values (21) 3052
30.5%

사업장명
Text

Distinct7321
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T01:56:07.788452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length7.8418
Min length1

Characters and Unicode

Total characters78418
Distinct characters926
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6107 ?
Unique (%)61.1%

Sample

1st row민들레제빵소
2nd row프렌즈과자점
3rd row달인의 꿈
4th row파리바게뜨 광주밀목점
5th row단하나뿐인케익단(DAN)
ValueCountFrequency (%)
파리바게뜨 381
 
3.0%
뚜레쥬르 278
 
2.2%
파리바게트 174
 
1.4%
베이커리 156
 
1.2%
크라운베이커리 97
 
0.8%
몽블랑제 91
 
0.7%
빵굽는마을 83
 
0.7%
던킨도너츠 60
 
0.5%
신라명과 47
 
0.4%
데이앤데이 44
 
0.3%
Other values (7583) 11214
88.8%
2024-03-23T01:56:08.868987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 3727
 
4.8%
점 3417
 
4.4%
이 3039
 
3.9%
2628
 
3.4%
베 1913
 
2.4%
커 1776
 
2.3%
) 1454
 
1.9%
( 1439
 
1.8%
파 1355
 
1.7%
스 1304
 
1.7%
Other values (916) 56366
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67948
86.6%
Space Separator 2628
 
3.4%
Lowercase Letter 2500
 
3.2%
Uppercase Letter 1607
 
2.0%
Close Punctuation 1462
 
1.9%
Open Punctuation 1447
 
1.8%
Decimal Number 597
 
0.8%
Other Punctuation 173
 
0.2%
Dash Punctuation 36
 
< 0.1%
Math Symbol 6
 
< 0.1%
Other values (4) 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 3727
 
5.5%
점 3417
 
5.0%
이 3039
 
4.5%
베 1913
 
2.8%
커 1776
 
2.6%
파 1355
 
2.0%
스 1304
 
1.9%
바 1291
 
1.9%
빵 1248
 
1.8%
레 1195
 
1.8%
Other values (828) 47683
70.2%
Uppercase Letter
ValueCountFrequency (%)
B 180
 
11.2%
E 138
 
8.6%
A 133
 
8.3%
S 116
 
7.2%
O 92
 
5.7%
C 89
 
5.5%
R 87
 
5.4%
M 72
 
4.5%
L 68
 
4.2%
T 66
 
4.1%
Other values (16) 566
35.2%
Lowercase Letter
ValueCountFrequency (%)
e 392
15.7%
a 301
12.0%
o 214
 
8.6%
r 187
 
7.5%
n 166
 
6.6%
i 133
 
5.3%
t 128
 
5.1%
s 115
 
4.6%
l 115
 
4.6%
u 104
 
4.2%
Other values (15) 645
25.8%
Decimal Number
ValueCountFrequency (%)
2 229
38.4%
1 123
20.6%
3 56
 
9.4%
5 45
 
7.5%
0 40
 
6.7%
4 30
 
5.0%
9 23
 
3.9%
7 21
 
3.5%
8 19
 
3.2%
6 11
 
1.8%
Other Punctuation
ValueCountFrequency (%)
& 77
44.5%
. 43
24.9%
, 21
 
12.1%
' 19
 
11.0%
! 5
 
2.9%
: 3
 
1.7%
· 3
 
1.7%
@ 1
 
0.6%
/ 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 2
33.3%
∏ 1
16.7%
< 1
16.7%
> 1
16.7%
+ 1
16.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅲ 1
 
20.0%
Ⅳ 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 1454
99.5%
] 8
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 1439
99.4%
[ 8
 
0.6%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
50.0%
` 1
50.0%
Space Separator
ValueCountFrequency (%)
2628
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67941
86.6%
Common 6358
 
8.1%
Latin 4112
 
5.2%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 3727
 
5.5%
점 3417
 
5.0%
이 3039
 
4.5%
베 1913
 
2.8%
커 1776
 
2.6%
파 1355
 
2.0%
스 1304
 
1.9%
바 1291
 
1.9%
빵 1248
 
1.8%
레 1195
 
1.8%
Other values (822) 47676
70.2%
Latin
ValueCountFrequency (%)
e 392
 
9.5%
a 301
 
7.3%
o 214
 
5.2%
r 187
 
4.5%
B 180
 
4.4%
n 166
 
4.0%
E 138
 
3.4%
i 133
 
3.2%
A 133
 
3.2%
t 128
 
3.1%
Other values (44) 2140
52.0%
Common
ValueCountFrequency (%)
2628
41.3%
) 1454
22.9%
( 1439
22.6%
2 229
 
3.6%
1 123
 
1.9%
& 77
 
1.2%
3 56
 
0.9%
5 45
 
0.7%
. 43
 
0.7%
0 40
 
0.6%
Other values (24) 224
 
3.5%
Han
ValueCountFrequency (%)
菓 2
28.6%
間 1
14.3%
空 1
14.3%
滿 1
14.3%
泉 1
14.3%
林 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67941
86.6%
ASCII 10455
 
13.3%
CJK 6
 
< 0.1%
Letterlike Symbols 5
 
< 0.1%
Number Forms 5
 
< 0.1%
None 3
 
< 0.1%
Modifier Letters 1
 
< 0.1%
Math Operators 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 3727
 
5.5%
점 3417
 
5.0%
이 3039
 
4.5%
베 1913
 
2.8%
커 1776
 
2.6%
파 1355
 
2.0%
스 1304
 
1.9%
바 1291
 
1.9%
빵 1248
 
1.8%
레 1195
 
1.8%
Other values (822) 47676
70.2%
ASCII
ValueCountFrequency (%)
2628
25.1%
) 1454
13.9%
( 1439
13.8%
e 392
 
3.7%
a 301
 
2.9%
2 229
 
2.2%
o 214
 
2.0%
r 187
 
1.8%
B 180
 
1.7%
n 166
 
1.6%
Other values (71) 3265
31.2%
Letterlike Symbols
ValueCountFrequency (%)
℃ 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅲ 1
 
20.0%
Ⅳ 1
 
20.0%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
菓 2
33.3%
間 1
16.7%
空 1
16.7%
滿 1
16.7%
泉 1
16.7%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%
Math Operators
ValueCountFrequency (%)
∏ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
林 1
100.0%

인허가일자
Text

Distinct6068
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T01:56:09.596483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.4076
Min length4

Characters and Unicode

Total characters84076
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3705 ?
Unique (%)37.0%

Sample

1st row20150515
2nd row20061214
3rd row20150526
4th row20111018
5th row20080528
ValueCountFrequency (%)
20100528 15
 
0.1%
20070314 12
 
0.1%
20090420 11
 
0.1%
20100531 10
 
0.1%
20011106 9
 
0.1%
20110826 9
 
0.1%
20090720 9
 
0.1%
20161209 9
 
0.1%
20120412 8
 
0.1%
20100429 8
 
0.1%
Other values (6058) 9900
99.0%
2024-03-23T01:56:10.804423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24512
29.2%
2 15844
18.8%
1 15715
18.7%
9 5967
 
7.1%
- 4086
 
4.9%
3 3570
 
4.2%
8 3132
 
3.7%
6 2906
 
3.5%
5 2857
 
3.4%
4 2745
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79990
95.1%
Dash Punctuation 4086
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24512
30.6%
2 15844
19.8%
1 15715
19.6%
9 5967
 
7.5%
3 3570
 
4.5%
8 3132
 
3.9%
6 2906
 
3.6%
5 2857
 
3.6%
4 2745
 
3.4%
7 2742
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 4086
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 84076
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24512
29.2%
2 15844
18.8%
1 15715
18.7%
9 5967
 
7.1%
- 4086
 
4.9%
3 3570
 
4.2%
8 3132
 
3.7%
6 2906
 
3.5%
5 2857
 
3.4%
4 2745
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84076
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24512
29.2%
2 15844
18.8%
1 15715
18.7%
9 5967
 
7.1%
- 4086
 
4.9%
3 3570
 
4.2%
8 3132
 
3.7%
6 2906
 
3.5%
5 2857
 
3.4%
4 2745
 
3.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태구분코드
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7957 
2
1049 
1
994 

Length

Max length4
Median length4
Mean length3.3871
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> 7957
79.6%
2 1049
 
10.5%
1 994
 
9.9%

Length

2024-03-23T01:56:11.347195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T01:56:11.826035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7957
79.6%
2 1049
 
10.5%
1 994
 
9.9%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업 등
4862 
운영중
3095 
폐업
1049 
영업
994 

Length

Max length4
Median length3
Mean length3.2819
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업 등
2nd row운영중
3rd row운영중
4th row운영중
5th row폐업 등

Common Values

ValueCountFrequency (%)
폐업 등 4862
48.6%
운영중 3095
30.9%
폐업 1049
 
10.5%
영업 994
 
9.9%

Length

2024-03-23T01:56:12.342553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T01:56:12.918579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5911
39.8%
등 4862
32.7%
운영중 3095
20.8%
영업 994
 
6.7%

폐업일자
Date

MISSING 

Distinct3072
Distinct (%)52.0%
Missing4089
Missing (%)40.9%
Memory size156.2 KiB
Minimum1993-08-07 00:00:00
Maximum2024-03-04 00:00:00
2024-03-23T01:56:13.632981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T01:56:14.426622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct811
Distinct (%)93.0%
Missing9128
Missing (%)91.3%
Memory size156.2 KiB
2024-03-23T01:56:15.297677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.75
Min length7

Characters and Unicode

Total characters9374
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique764 ?
Unique (%)87.6%

Sample

1st row070 75127908
2nd row3284000
3rd row032 656 3582
4th row031 3720295
5th row032 6713618
ValueCountFrequency (%)
031 297
 
15.6%
032 293
 
15.4%
070 37
 
1.9%
02 27
 
1.4%
325 10
 
0.5%
341 9
 
0.5%
324 8
 
0.4%
321 8
 
0.4%
0404 6
 
0.3%
665 6
 
0.3%
Other values (1002) 1202
63.2%
2024-03-23T01:56:16.674632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1500
16.0%
3 1312
14.0%
1072
11.4%
2 1057
11.3%
1 907
9.7%
6 698
7.4%
7 673
7.2%
4 599
 
6.4%
5 580
 
6.2%
8 561
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8302
88.6%
Space Separator 1072
 
11.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1500
18.1%
3 1312
15.8%
2 1057
12.7%
1 907
10.9%
6 698
8.4%
7 673
8.1%
4 599
 
7.2%
5 580
 
7.0%
8 561
 
6.8%
9 415
 
5.0%
Space Separator
ValueCountFrequency (%)
1072
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9374
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1500
16.0%
3 1312
14.0%
1072
11.4%
2 1057
11.3%
1 907
9.7%
6 698
7.4%
7 673
7.2%
4 599
 
6.4%
5 580
 
6.2%
8 561
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1500
16.0%
3 1312
14.0%
1072
11.4%
2 1057
11.3%
1 907
9.7%
6 698
7.4%
7 673
7.2%
4 599
 
6.4%
5 580
 
6.2%
8 561
 
6.0%

소재지면적정보
Real number (ℝ)

MISSING 

Distinct1410
Distinct (%)77.0%
Missing8168
Missing (%)81.7%
Infinite0
Infinite (%)0.0%
Mean59.520808
Minimum0
Maximum1836.08
Zeros25
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T01:56:17.100338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9865
Q126.25
median40.44
Q371.51
95-th percentile159.188
Maximum1836.08
Range1836.08
Interquartile range (IQR)45.26

Descriptive statistics

Standard deviation76.897356
Coefficient of variation (CV)1.2919407
Kurtosis178.83752
Mean59.520808
Median Absolute Deviation (MAD)18.84
Skewness9.8200158
Sum109042.12
Variance5913.2034
MonotonicityNot monotonic
2024-03-23T01:56:17.668733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 25
 
0.2%
3.3 18
 
0.2%
33.0 8
 
0.1%
20.0 7
 
0.1%
9.0 7
 
0.1%
30.0 6
 
0.1%
34.0 6
 
0.1%
28.35 6
 
0.1%
1.0 6
 
0.1%
40.0 6
 
0.1%
Other values (1400) 1737
 
17.4%
(Missing) 8168
81.7%
ValueCountFrequency (%)
0.0 25
0.2%
0.49 2
 
< 0.1%
0.5 1
 
< 0.1%
0.7 2
 
< 0.1%
0.81 1
 
< 0.1%
0.9 1
 
< 0.1%
1.0 6
 
0.1%
1.2 1
 
< 0.1%
1.27 1
 
< 0.1%
1.3 1
 
< 0.1%
ValueCountFrequency (%)
1836.08 1
< 0.1%
1043.0 1
< 0.1%
715.14 1
< 0.1%
661.5 1
< 0.1%
506.88 1
< 0.1%
503.0 1
< 0.1%
497.15 1
< 0.1%
494.5 1
< 0.1%
486.3 1
< 0.1%
469.64 1
< 0.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct817
Distinct (%)62.7%
Missing8697
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean14243.589
Minimum10011
Maximum18611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T01:56:18.125781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10358
Q111976
median14243
Q316547
95-th percentile18445
Maximum18611
Range8600
Interquartile range (IQR)4571

Descriptive statistics

Standard deviation2611.7291
Coefficient of variation (CV)0.18336173
Kurtosis-1.2194085
Mean14243.589
Median Absolute Deviation (MAD)2298
Skewness0.000954813
Sum18559397
Variance6821129.1
MonotonicityNot monotonic
2024-03-23T01:56:18.570563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10391 20
 
0.2%
13529 18
 
0.2%
16514 14
 
0.1%
14546 13
 
0.1%
18478 13
 
0.1%
18445 13
 
0.1%
13591 9
 
0.1%
15011 8
 
0.1%
16490 8
 
0.1%
16622 7
 
0.1%
Other values (807) 1180
 
11.8%
(Missing) 8697
87.0%
ValueCountFrequency (%)
10011 2
 
< 0.1%
10020 1
 
< 0.1%
10024 1
 
< 0.1%
10059 1
 
< 0.1%
10060 1
 
< 0.1%
10066 1
 
< 0.1%
10071 7
0.1%
10073 1
 
< 0.1%
10077 1
 
< 0.1%
10080 1
 
< 0.1%
ValueCountFrequency (%)
18611 1
 
< 0.1%
18602 1
 
< 0.1%
18600 2
< 0.1%
18593 2
< 0.1%
18567 1
 
< 0.1%
18517 1
 
< 0.1%
18516 1
 
< 0.1%
18505 2
< 0.1%
18503 1
 
< 0.1%
18497 4
< 0.1%

소재지도로명주소
Text

MISSING 

Distinct8265
Distinct (%)88.8%
Missing695
Missing (%)7.0%
Memory size156.2 KiB
2024-03-23T01:56:19.291130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length55
Mean length31.15798
Min length13

Characters and Unicode

Total characters289925
Distinct characters639
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7491 ?
Unique (%)80.5%

Sample

1st row경기도 고양시 일산서구 일산로 614, 108호 (일산동, 후곡마을 상가동)
2nd row경기도 수원시 장안구 덕영대로425번길 27 (율전동)
3rd row경기도 안성시 죽산면 장원남산길 11, 1층
4th row경기도 광주시 중앙로 339, 금은빌딩 1층 (송정동)
5th row경기도 안양시 만안구 안양로292번길 7, 지상3층 (안양동)
ValueCountFrequency (%)
경기도 9305
 
15.2%
1층 2214
 
3.6%
부천시 1379
 
2.2%
수원시 851
 
1.4%
고양시 820
 
1.3%
성남시 781
 
1.3%
용인시 655
 
1.1%
안산시 524
 
0.9%
분당구 511
 
0.8%
안양시 490
 
0.8%
Other values (8885) 43789
71.4%
2024-03-23T01:56:20.557718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52074
 
18.0%
1 15033
 
5.2%
시 9782
 
3.4%
경 9752
 
3.4%
기 9744
 
3.4%
도 9646
 
3.3%
로 9059
 
3.1%
동 8542
 
2.9%
, 7956
 
2.7%
) 6681
 
2.3%
Other values (629) 151656
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166642
57.5%
Space Separator 52074
 
18.0%
Decimal Number 47468
 
16.4%
Other Punctuation 8024
 
2.8%
Close Punctuation 6681
 
2.3%
Open Punctuation 6680
 
2.3%
Dash Punctuation 1401
 
0.5%
Uppercase Letter 809
 
0.3%
Lowercase Letter 73
 
< 0.1%
Math Symbol 64
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9782
 
5.9%
경 9752
 
5.9%
기 9744
 
5.8%
도 9646
 
5.8%
로 9059
 
5.4%
동 8542
 
5.1%
구 5041
 
3.0%
층 4052
 
2.4%
호 3966
 
2.4%
부 3682
 
2.2%
Other values (559) 93376
56.0%
Uppercase Letter
ValueCountFrequency (%)
B 210
26.0%
A 127
15.7%
C 54
 
6.7%
K 48
 
5.9%
S 47
 
5.8%
T 38
 
4.7%
G 36
 
4.4%
E 35
 
4.3%
I 30
 
3.7%
L 28
 
3.5%
Other values (16) 156
19.3%
Lowercase Letter
ValueCountFrequency (%)
e 14
19.2%
c 9
12.3%
a 7
9.6%
r 7
9.6%
t 4
 
5.5%
n 4
 
5.5%
l 4
 
5.5%
k 3
 
4.1%
o 3
 
4.1%
h 3
 
4.1%
Other values (8) 15
20.5%
Decimal Number
ValueCountFrequency (%)
1 15033
31.7%
2 6021
12.7%
0 5379
 
11.3%
3 4329
 
9.1%
4 3385
 
7.1%
5 3214
 
6.8%
6 2813
 
5.9%
7 2695
 
5.7%
8 2415
 
5.1%
9 2184
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 7956
99.2%
. 56
 
0.7%
@ 4
 
< 0.1%
& 3
 
< 0.1%
/ 3
 
< 0.1%
: 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 3
33.3%
Ⅰ 2
22.2%
Ⅳ 2
22.2%
Ⅱ 2
22.2%
Math Symbol
ValueCountFrequency (%)
~ 53
82.8%
+ 11
 
17.2%
Space Separator
ValueCountFrequency (%)
52074
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6681
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6680
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1401
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166640
57.5%
Common 122392
42.2%
Latin 891
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9782
 
5.9%
경 9752
 
5.9%
기 9744
 
5.8%
도 9646
 
5.8%
로 9059
 
5.4%
동 8542
 
5.1%
구 5041
 
3.0%
층 4052
 
2.4%
호 3966
 
2.4%
부 3682
 
2.2%
Other values (557) 93374
56.0%
Latin
ValueCountFrequency (%)
B 210
23.6%
A 127
14.3%
C 54
 
6.1%
K 48
 
5.4%
S 47
 
5.3%
T 38
 
4.3%
G 36
 
4.0%
E 35
 
3.9%
I 30
 
3.4%
L 28
 
3.1%
Other values (38) 238
26.7%
Common
ValueCountFrequency (%)
52074
42.5%
1 15033
 
12.3%
, 7956
 
6.5%
) 6681
 
5.5%
( 6680
 
5.5%
2 6021
 
4.9%
0 5379
 
4.4%
3 4329
 
3.5%
4 3385
 
2.8%
5 3214
 
2.6%
Other values (12) 11640
 
9.5%
Han
ValueCountFrequency (%)
內 1
50.0%
愛 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166639
57.5%
ASCII 123274
42.5%
Number Forms 9
 
< 0.1%
CJK 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52074
42.2%
1 15033
 
12.2%
, 7956
 
6.5%
) 6681
 
5.4%
( 6680
 
5.4%
2 6021
 
4.9%
0 5379
 
4.4%
3 4329
 
3.5%
4 3385
 
2.7%
5 3214
 
2.6%
Other values (56) 12522
 
10.2%
Hangul
ValueCountFrequency (%)
시 9782
 
5.9%
경 9752
 
5.9%
기 9744
 
5.8%
도 9646
 
5.8%
로 9059
 
5.4%
동 8542
 
5.1%
구 5041
 
3.0%
층 4052
 
2.4%
호 3966
 
2.4%
부 3682
 
2.2%
Other values (556) 93373
56.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 3
33.3%
Ⅰ 2
22.2%
Ⅳ 2
22.2%
Ⅱ 2
22.2%
CJK
ValueCountFrequency (%)
內 1
50.0%
愛 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

소재지지번주소
Text

Distinct9516
Distinct (%)95.2%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-23T01:56:21.442018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length54
Mean length29.432843
Min length14

Characters and Unicode

Total characters294299
Distinct characters630
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9209 ?
Unique (%)92.1%

Sample

1st row경기도 고양시 일산서구 일산동 1050번지 후곡마을 상가동 108호
2nd row경기도 수원시 장안구 율전동 157-1번지
3rd row경기도 안성시 죽산면 죽산리 101-1번지 1층
4th row경기도 광주시 송정동 406-2번지 금은빌딩 1층
5th row경기도 안양시 만안구 안양동 674-140번지 지상3층
ValueCountFrequency (%)
경기도 9999
 
16.3%
1층 1825
 
3.0%
부천시 1472
 
2.4%
수원시 912
 
1.5%
고양시 857
 
1.4%
성남시 807
 
1.3%
용인시 704
 
1.1%
안산시 573
 
0.9%
안양시 540
 
0.9%
분당구 518
 
0.8%
Other values (12002) 43011
70.3%
2024-03-23T01:56:23.170772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53040
 
18.0%
1 17688
 
6.0%
동 11076
 
3.8%
지 10536
 
3.6%
기 10408
 
3.5%
시 10330
 
3.5%
도 10277
 
3.5%
경 10075
 
3.4%
번 8049
 
2.7%
- 7222
 
2.5%
Other values (620) 145598
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171062
58.1%
Decimal Number 58630
 
19.9%
Space Separator 53041
 
18.0%
Dash Punctuation 7222
 
2.5%
Other Punctuation 1548
 
0.5%
Uppercase Letter 948
 
0.3%
Open Punctuation 859
 
0.3%
Close Punctuation 858
 
0.3%
Lowercase Letter 66
 
< 0.1%
Math Symbol 56
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11076
 
6.5%
지 10536
 
6.2%
기 10408
 
6.1%
시 10330
 
6.0%
도 10277
 
6.0%
경 10075
 
5.9%
번 8049
 
4.7%
구 5561
 
3.3%
호 4197
 
2.5%
층 3651
 
2.1%
Other values (547) 86902
50.8%
Uppercase Letter
ValueCountFrequency (%)
B 225
23.7%
A 179
18.9%
S 59
 
6.2%
C 56
 
5.9%
K 51
 
5.4%
G 47
 
5.0%
L 43
 
4.5%
T 43
 
4.5%
E 35
 
3.7%
I 33
 
3.5%
Other values (16) 177
18.7%
Lowercase Letter
ValueCountFrequency (%)
e 13
19.7%
c 8
12.1%
a 6
9.1%
r 6
9.1%
k 5
 
7.6%
n 4
 
6.1%
t 4
 
6.1%
o 3
 
4.5%
s 3
 
4.5%
u 2
 
3.0%
Other values (9) 12
18.2%
Decimal Number
ValueCountFrequency (%)
1 17688
30.2%
0 6442
 
11.0%
2 6317
 
10.8%
3 5115
 
8.7%
4 4566
 
7.8%
5 4381
 
7.5%
6 4130
 
7.0%
7 3650
 
6.2%
8 3419
 
5.8%
9 2922
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1403
90.6%
. 106
 
6.8%
@ 25
 
1.6%
/ 9
 
0.6%
& 3
 
0.2%
! 1
 
0.1%
: 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
33.3%
Ⅲ 3
33.3%
Ⅳ 2
22.2%
Ⅱ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
53040
> 99.9%
　 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 44
78.6%
+ 12
 
21.4%
Dash Punctuation
ValueCountFrequency (%)
- 7222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 859
100.0%
Close Punctuation
ValueCountFrequency (%)
) 858
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171060
58.1%
Common 122214
41.5%
Latin 1023
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11076
 
6.5%
지 10536
 
6.2%
기 10408
 
6.1%
시 10330
 
6.0%
도 10277
 
6.0%
경 10075
 
5.9%
번 8049
 
4.7%
구 5561
 
3.3%
호 4197
 
2.5%
층 3651
 
2.1%
Other values (545) 86900
50.8%
Latin
ValueCountFrequency (%)
B 225
22.0%
A 179
17.5%
S 59
 
5.8%
C 56
 
5.5%
K 51
 
5.0%
G 47
 
4.6%
L 43
 
4.2%
T 43
 
4.2%
E 35
 
3.4%
I 33
 
3.2%
Other values (39) 252
24.6%
Common
ValueCountFrequency (%)
53040
43.4%
1 17688
 
14.5%
- 7222
 
5.9%
0 6442
 
5.3%
2 6317
 
5.2%
3 5115
 
4.2%
4 4566
 
3.7%
5 4381
 
3.6%
6 4130
 
3.4%
7 3650
 
3.0%
Other values (14) 9663
 
7.9%
Han
ValueCountFrequency (%)
愛 1
50.0%
內 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171058
58.1%
ASCII 123227
41.9%
Number Forms 9
 
< 0.1%
CJK 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53040
43.0%
1 17688
 
14.4%
- 7222
 
5.9%
0 6442
 
5.2%
2 6317
 
5.1%
3 5115
 
4.2%
4 4566
 
3.7%
5 4381
 
3.6%
6 4130
 
3.4%
7 3650
 
3.0%
Other values (58) 10676
 
8.7%
Hangul
ValueCountFrequency (%)
동 11076
 
6.5%
지 10536
 
6.2%
기 10408
 
6.1%
시 10330
 
6.0%
도 10277
 
6.0%
경 10075
 
5.9%
번 8049
 
4.7%
구 5561
 
3.3%
호 4197
 
2.5%
층 3651
 
2.1%
Other values (543) 86898
50.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
33.3%
Ⅲ 3
33.3%
Ⅳ 2
22.2%
Ⅱ 1
 
11.1%
None
ValueCountFrequency (%)
　 1
100.0%
CJK
ValueCountFrequency (%)
愛 1
50.0%
內 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅏ 1
50.0%
ㅣ 1
50.0%

소재지우편번호
Text

Distinct2353
Distinct (%)23.6%
Missing40
Missing (%)0.4%
Memory size156.2 KiB
2024-03-23T01:56:24.316452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.963755
Min length5

Characters and Unicode

Total characters59399
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique848 ?
Unique (%)8.5%

Sample

1st row411827
2nd row440824
3rd row456894
4th row464903
5th row430831
ValueCountFrequency (%)
14546 102
 
1.0%
14548 77
 
0.8%
445160 53
 
0.5%
448811 45
 
0.5%
415060 44
 
0.4%
431812 41
 
0.4%
14637 36
 
0.4%
463420 36
 
0.4%
412827 33
 
0.3%
410837 31
 
0.3%
Other values (2343) 9462
95.0%
2024-03-23T01:56:25.855582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 14666
24.7%
8 7432
12.5%
1 7418
12.5%
0 6346
10.7%
2 4836
 
8.1%
3 4501
 
7.6%
6 4056
 
6.8%
5 3993
 
6.7%
7 3078
 
5.2%
9 1907
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58233
98.0%
Dash Punctuation 1166
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 14666
25.2%
8 7432
12.8%
1 7418
12.7%
0 6346
10.9%
2 4836
 
8.3%
3 4501
 
7.7%
6 4056
 
7.0%
5 3993
 
6.9%
7 3078
 
5.3%
9 1907
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 1166
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59399
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 14666
24.7%
8 7432
12.5%
1 7418
12.5%
0 6346
10.7%
2 4836
 
8.1%
3 4501
 
7.6%
6 4056
 
6.8%
5 3993
 
6.7%
7 3078
 
5.2%
9 1907
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59399
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 14666
24.7%
8 7432
12.5%
1 7418
12.5%
0 6346
10.7%
2 4836
 
8.1%
3 4501
 
7.6%
6 4056
 
6.8%
5 3993
 
6.7%
7 3078
 
5.2%
9 1907
 
3.2%

WGS84위도
Real number (ℝ)

MISSING 

Distinct6906
Distinct (%)70.8%
Missing244
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean37.442814
Minimum36.960167
Maximum38.185417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T01:56:26.413562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960167
5-th percentile37.132438
Q137.300302
median37.413225
Q337.601475
95-th percentile37.758062
Maximum38.185417
Range1.2252501
Interquartile range (IQR)0.30117262

Descriptive statistics

Standard deviation0.20047482
Coefficient of variation (CV)0.0053541601
Kurtosis-0.012199543
Mean37.442814
Median Absolute Deviation (MAD)0.1229871
Skewness0.23277095
Sum365292.09
Variance0.040190153
MonotonicityNot monotonic
2024-03-23T01:56:26.919367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5043171668 83
 
0.8%
37.6679786706 54
 
0.5%
37.3250031722 48
 
0.5%
37.3927822598 44
 
0.4%
37.5025517408 40
 
0.4%
37.4840373391 26
 
0.3%
37.3851007981 22
 
0.2%
37.7379343921 20
 
0.2%
37.5040675095 17
 
0.2%
37.6690309166 17
 
0.2%
Other values (6896) 9385
93.8%
(Missing) 244
 
2.4%
ValueCountFrequency (%)
36.9601672594 1
< 0.1%
36.9615233442 1
< 0.1%
36.9627169365 1
< 0.1%
36.9630731148 1
< 0.1%
36.9631804954 1
< 0.1%
36.9632453036 1
< 0.1%
36.9635550603 1
< 0.1%
36.9638839766 1
< 0.1%
36.9640738159 1
< 0.1%
36.9643603285 2
< 0.1%
ValueCountFrequency (%)
38.1854173556 1
< 0.1%
38.185096312 1
< 0.1%
38.1849330573 1
< 0.1%
38.1838516835 1
< 0.1%
38.1016722272 2
< 0.1%
38.1015059159 1
< 0.1%
38.099686218 1
< 0.1%
38.091541132 1
< 0.1%
38.0914488228 2
< 0.1%
38.0908114997 2
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct6906
Distinct (%)70.8%
Missing244
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean126.98071
Minimum126.53477
Maximum127.75558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T01:56:27.422179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53477
5-th percentile126.74835
Q1126.80455
median126.97689
Q3127.11046
95-th percentile127.28254
Maximum127.75558
Range1.2208097
Interquartile range (IQR)0.30591209

Descriptive statistics

Standard deviation0.19003166
Coefficient of variation (CV)0.0014965396
Kurtosis0.43165322
Mean126.98071
Median Absolute Deviation (MAD)0.14943999
Skewness0.63460974
Sum1238823.8
Variance0.036112033
MonotonicityNot monotonic
2024-03-23T01:56:27.944168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7620745903 83
 
0.8%
126.7516242854 54
 
0.5%
127.1081092919 48
 
0.5%
127.1120948679 44
 
0.4%
126.7753741701 40
 
0.4%
126.7826449277 26
 
0.3%
127.1227076252 22
 
0.2%
127.045835705 20
 
0.2%
126.7639551478 17
 
0.2%
126.7456041294 17
 
0.2%
Other values (6896) 9385
93.8%
(Missing) 244
 
2.4%
ValueCountFrequency (%)
126.5347738315 1
< 0.1%
126.5431876712 1
< 0.1%
126.5467066959 2
< 0.1%
126.5621240298 1
< 0.1%
126.5689471638 1
< 0.1%
126.569456229 1
< 0.1%
126.5698041905 1
< 0.1%
126.570194885 1
< 0.1%
126.5745335679 1
< 0.1%
126.5814888163 1
< 0.1%
ValueCountFrequency (%)
127.7555835694 1
 
< 0.1%
127.7538182101 1
 
< 0.1%
127.6943166264 1
 
< 0.1%
127.6663831773 2
< 0.1%
127.6633293744 1
 
< 0.1%
127.662373803 1
 
< 0.1%
127.6616696986 1
 
< 0.1%
127.6616386032 3
< 0.1%
127.6529097556 1
 
< 0.1%
127.6459893506 1
 
< 0.1%

업태구분명정보
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7957 
제과점영업
2042 
푸드트럭
 
1

Length

Max length5
Median length4
Mean length4.2042
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> 7957
79.6%
제과점영업 2042
 
20.4%
푸드트럭 1
 
< 0.1%

Length

2024-03-23T01:56:28.342012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T01:56:28.788223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7957
79.6%
제과점영업 2042
 
20.4%
푸드트럭 1
 
< 0.1%

X좌표값
Real number (ℝ)

MISSING 

Distinct1536
Distinct (%)76.8%
Missing7999
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean193390.71
Minimum159655.49
Maximum261289.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T01:56:29.154606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159655.49
5-th percentile177930.62
Q1180053.34
median183644.89
Q3206365.53
95-th percentile221570.59
Maximum261289.02
Range101633.54
Interquartile range (IQR)26312.181

Descriptive statistics

Standard deviation17030.053
Coefficient of variation (CV)0.088060347
Kurtosis0.87970628
Mean193390.71
Median Absolute Deviation (MAD)5638.8135
Skewness1.070879
Sum3.869748 × 108
Variance2.9002269 × 108
MonotonicityNot monotonic
2024-03-23T01:56:29.588237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178901.991280584 60
 
0.6%
180053.344972882 25
 
0.2%
178006.080301401 21
 
0.2%
209850.446960528 17
 
0.2%
180724.703317877 14
 
0.1%
205023.582888351 12
 
0.1%
208569.642431686 12
 
0.1%
179059.890468202 9
 
0.1%
183505.044366024 8
 
0.1%
210853.833466798 8
 
0.1%
Other values (1526) 1815
 
18.1%
(Missing) 7999
80.0%
ValueCountFrequency (%)
159655.488579658 1
< 0.1%
159973.594016739 1
< 0.1%
161101.965185962 1
< 0.1%
161775.459965083 1
< 0.1%
166338.852469752 1
< 0.1%
166532.316342946 1
< 0.1%
166708.693536204 2
< 0.1%
166791.281614547 1
< 0.1%
166844.152335777 1
< 0.1%
167087.307183519 1
< 0.1%
ValueCountFrequency (%)
261289.0236135 1
< 0.1%
258660.620249645 2
< 0.1%
256939.6496034 1
< 0.1%
256812.602843679 1
< 0.1%
256597.065281638 1
< 0.1%
256409.757088477 1
< 0.1%
256295.540566504 2
< 0.1%
256280.513270347 1
< 0.1%
256166.641161918 1
< 0.1%
256148.331022441 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct1537
Distinct (%)76.8%
Missing7999
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean439754.23
Minimum387484.8
Maximum510983.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T01:56:30.064786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387484.8
5-th percentile408511.58
Q1428537.94
median442778.28
Q3446866.56
95-th percentile470348.02
Maximum510983.24
Range123498.44
Interquartile range (IQR)18328.62

Descriptive statistics

Standard deviation18810.742
Coefficient of variation (CV)0.042775579
Kurtosis0.65566826
Mean439754.23
Median Absolute Deviation (MAD)10474.13
Skewness-0.17703085
Sum8.7994822 × 108
Variance3.5384401 × 108
MonotonicityNot monotonic
2024-03-23T01:56:30.511693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444701.557193 60
 
0.6%
444507.865626959 25
 
0.2%
462865.812502378 21
 
0.2%
432304.149379043 17
 
0.2%
442449.069631369 14
 
0.1%
420361.248170516 12
 
0.1%
410949.263462028 12
 
0.1%
444675.160533494 9
 
0.1%
431447.85813153 8
 
0.1%
444675.457254185 8
 
0.1%
Other values (1527) 1815
 
18.1%
(Missing) 7999
80.0%
ValueCountFrequency (%)
387484.797282739 1
< 0.1%
387515.180974517 1
< 0.1%
387625.950254015 1
< 0.1%
387674.877266816 2
< 0.1%
387700.245776573 1
< 0.1%
387741.724892338 1
< 0.1%
387758.769801352 1
< 0.1%
387798.75161755 1
< 0.1%
387846.125600018 1
< 0.1%
388093.036705258 1
< 0.1%
ValueCountFrequency (%)
510983.238841281 1
< 0.1%
509878.393822249 1
< 0.1%
507997.848408459 1
< 0.1%
503782.202589364 1
< 0.1%
502621.80695127 1
< 0.1%
502349.946321083 1
< 0.1%
500266.771874009 1
< 0.1%
499837.037609378 1
< 0.1%
494724.537320769 1
< 0.1%
491740.656190291 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제과점영업
9475 
<NA>
 
524
푸드트럭
 
1

Length

Max length5
Median length5
Mean length4.9475
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 9475
94.8%
<NA> 524
 
5.2%
푸드트럭 1
 
< 0.1%

Length

2024-03-23T01:56:30.925113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T01:56:31.321156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 9475
94.8%
na 524
 
5.2%
푸드트럭 1
 
< 0.1%

본사종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8152 
0
1848 

Length

Max length4
Median length4
Mean length3.4456
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> 8152
81.5%
0 1848
 
18.5%

Length

2024-03-23T01:56:31.688741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T01:56:32.060060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8152
81.5%
0 1848
 
18.5%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8152 
0
1848 

Length

Max length4
Median length4
Mean length3.4456
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> 8152
81.5%
0 1848
 
18.5%

Length

2024-03-23T01:56:32.439682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T01:56:32.781385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8152
81.5%
0 1848
 
18.5%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8152 
0
1848 

Length

Max length4
Median length4
Mean length3.4456
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> 8152
81.5%
0 1848
 
18.5%

Length

2024-03-23T01:56:33.136222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T01:56:33.481572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8152
81.5%
0 1848
 
18.5%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8152 
0
1848 

Length

Max length4
Median length4
Mean length3.4456
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> 8152
81.5%
0 1848
 
18.5%

Length

2024-03-23T01:56:33.981529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T01:56:34.312327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8152
81.5%
0 1848
 
18.5%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

보증금액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8152 
0
1848 

Length

Max length4
Median length4
Mean length3.4456
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> 8152
81.5%
0 1848
 
18.5%

Length

2024-03-23T01:56:34.692235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T01:56:35.035176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8152
81.5%
0 1848
 
18.5%

월세금액
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8152 
0
1848 

Length

Max length4
Median length4
Mean length3.4456
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> 8152
81.5%
0 1848
 
18.5%

Length

2024-03-23T01:56:35.408705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T01:56:35.702132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8152
81.5%
0 1848
 
18.5%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing524
Missing (%)5.2%
Memory size97.7 KiB
False
9339 
True
 
137
(Missing)
 
524
ValueCountFrequency (%)
False 9339
93.4%
True 137
 
1.4%
(Missing) 524
 
5.2%
2024-03-23T01:56:35.955075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전통업소음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증금액월세금액다중이용업소여부시설총규모전통업소지정번호전통업소음식
896고양시민들레제빵소20150515<NA><NA>폐업 등20170314<NA><NA><NA>경기도 고양시 일산서구 일산로 614, 108호 (일산동, 후곡마을 상가동)경기도 고양시 일산서구 일산동 1050번지 후곡마을 상가동 108호41182737.681142126.760803<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
6324수원시프렌즈과자점20061214<NA><NA>운영중<NA><NA><NA><NA>경기도 수원시 장안구 덕영대로425번길 27 (율전동)경기도 수원시 장안구 율전동 157-1번지44082437.302307126.96955<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
8165안성시달인의 꿈20150526<NA><NA>운영중<NA><NA><NA><NA>경기도 안성시 죽산면 장원남산길 11, 1층경기도 안성시 죽산면 죽산리 101-1번지 1층45689437.07529127.42719<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
1566광주시파리바게뜨 광주밀목점20111018<NA><NA>운영중<NA><NA><NA><NA>경기도 광주시 중앙로 339, 금은빌딩 1층 (송정동)경기도 광주시 송정동 406-2번지 금은빌딩 1층46490337.429607127.259011<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
8983안양시단하나뿐인케익단(DAN)20080528<NA><NA>폐업 등20180829<NA><NA><NA>경기도 안양시 만안구 안양로292번길 7, 지상3층 (안양동)경기도 안양시 만안구 안양동 674-140번지 지상3층43083137.398704126.92229<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
7611안산시만들다디저트카페2015-04-24<NA>2폐업2023-07-14<NA>47.5815476경기도 안산시 단원구 광덕서로 44, 이노프라자 115호 (고잔동)경기도 안산시 단원구 고잔동 718 이노프라자425-80737.308444126.827344제과점영업184623.935129422951.507274제과점영업0000<NA>00N<NA><NA><NA>
12141포천시GS25포천본점20100409<NA><NA>폐업 등20100422<NA><NA><NA>경기도 포천시 신북면 호국로 2135-8경기도 포천시 신북면 기지리 101-3번지 포천윤중후레쉬빌아파트상가 104호48791537.940187127.229995<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
12030평택시제빵공작소20170510<NA><NA>폐업 등20171212<NA><NA><NA>경기도 평택시 비전3로 26, 106호 (비전동)경기도 평택시 비전동 1070-3번지45015037.002315127.105299<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
7412안산시수나인 골목카페2015-12-04<NA>1영업<NA><NA>70.2815465경기도 안산시 단원구 이삭6길 3-8, 1층일부(101호) (고잔동)경기도 안산시 단원구 고잔동 753-9 1층일부(101호)425-80937.313561126.839758제과점영업185724.544549423519.201047제과점영업0000<NA>00N<NA><NA><NA>
10376용인시통베이커리20110427<NA><NA>폐업 등20130319<NA><NA><NA>경기도 용인시 수지구 현암로 139, 가동 106호 (죽전동)경기도 용인시 수지구 죽전동 1189-2번지 가동 106호44880837.331962127.124757<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증금액월세금액다중이용업소여부시설총규모전통업소지정번호전통업소음식
8339안양시어너츠2022-12-15<NA>1영업<NA><NA>35.8914037경기도 안양시 만안구 태평로52번길 21, 1층 134호 (안양동)경기도 안양시 만안구 안양동 1391430-01037.395526126.930493제과점영업<NA><NA>제과점영업0000<NA>00N<NA><NA><NA>
7608안산시벨로떼과자점(보노스티)19921110<NA><NA>운영중<NA><NA><NA><NA>경기도 안산시 단원구 선부로 166 (선부동, 공작한양아파트군자2차상가 1층 128호)경기도 안산시 단원구 선부동 1085번지 공작한양아파트군자2차상가 1층(128호)42514037.339768126.813383<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
291고양시파리바게뜨 백마프라자점20080903<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 대산로 113 (주엽동, 백마조합상가 103호)경기도 고양시 일산서구 주엽동 51-1번지 외1필지 백마조합상가 103호41184837.673819126.764515<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
11729평택시(주)이지바이(현화점)20130509<NA><NA>운영중<NA><NA><NA><NA>경기도 평택시 안중읍 안현로서6길 52경기도 평택시 안중읍 현화리 249번지 외 1필지45188536.984778126.923547<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
10532의왕시롯데리아 롯데마트의왕점20020716<NA><NA>운영중<NA><NA><NA><NA>경기도 의왕시 계원대학로 7 (내손동)경기도 의왕시 내손동 743번지43783437.38058126.972896<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
6989수원시불란서 제과20011105<NA><NA>폐업 등20100118<NA><NA><NA>경기도 수원시 장안구 송정로76번길 61경기도 수원시 장안구 정자동 67-13번지44083337.293375127.007285<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
7593안산시만들다디저트카페20150424<NA><NA>운영중<NA><NA><NA><NA>경기도 안산시 단원구 광덕서로 82, 119호 (고잔동, 한남법조타운)경기도 안산시 단원구 고잔동 707-4번지 한남법조타운 119호42580737.31198126.827809<NA><NA><NA>제과점영업<NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
4905성남시파리바게뜨 판교테크노점2011-04-15<NA>1영업<NA>031 696 748299.8413494경기도 성남시 분당구 판교역로 231 (삼평동, 에이치스퀘어 에스동 1층 132호 )경기도 성남시 분당구 삼평동 680 에이치스퀘어 에스동 1층 132호463-40037.401271127.10865제과점영업209549.874548433248.0854제과점영업0000<NA>00N<NA><NA><NA>
9423오산시동주빵야2023-04-19<NA>1영업<NA><NA>75.018144경기도 오산시 경기대로 154, 패션 폴라리스 101 102 103호 일부 (원동)경기도 오산시 원동 391-1 패션 폴라리스 101 102 103 일부호447-80537.138511127.073854제과점영업206491.77991404082.012655제과점영업0000<NA>00N<NA><NA><NA>
3179부천시빵장수단팥빵2016-02-02<NA>1영업<NA>032 621 790438.61<NA>경기도 부천시 원미구 신흥로 190 (중동, 위브더스테이트 상가1동 112호)경기도 부천시 원미구 중동 1106 위브더스테이트 상가1동 112호1454937.500923126.777336제과점영업180230.147459444378.25452제과점영업0000<NA>00N<NA><NA><NA>