Overview

Dataset statistics

Number of variables11
Number of observations2760
Missing cells2295
Missing cells (%)7.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory250.8 KiB
Average record size in memory93.0 B

Variable types

Categorical3
Text3
Numeric5

Alerts

축산업무구분명 has constant value ""Constant
인허가일자 is highly overall correlated with 폐업일자High correlation
폐업일자 is highly overall correlated with 인허가일자 and 1 other fieldsHigh correlation
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
영업상태명 is highly overall correlated with 폐업일자High correlation
폐업일자 has 1901 (68.9%) missing valuesMissing
소재지도로명주소 has 130 (4.7%) missing valuesMissing
소재지우편번호 has 102 (3.7%) missing valuesMissing
WGS84위도 has 80 (2.9%) missing valuesMissing
WGS84경도 has 80 (2.9%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:14:51.489862
Analysis finished2023-12-10 21:14:55.367524
Duration3.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size21.7 KiB
고양시
252 
수원시
243 
용인시
243 
성남시
232 
부천시
179 
Other values (26)
1611 

Length

Max length4
Median length3
Mean length3.0851449
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 252
 
9.1%
수원시 243
 
8.8%
용인시 243
 
8.8%
성남시 232
 
8.4%
부천시 179
 
6.5%
안산시 166
 
6.0%
안양시 136
 
4.9%
남양주시 105
 
3.8%
의정부시 103
 
3.7%
시흥시 97
 
3.5%
Other values (21) 1004
36.4%

Length

2023-12-11T06:14:55.434410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 252
 
9.1%
용인시 243
 
8.8%
수원시 243
 
8.8%
성남시 232
 
8.4%
부천시 179
 
6.5%
안산시 166
 
6.0%
안양시 136
 
4.9%
남양주시 105
 
3.8%
의정부시 103
 
3.7%
시흥시 97
 
3.5%
Other values (21) 1004
36.4%

사업장명
Text

Distinct2569
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size21.7 KiB
2023-12-11T06:14:55.700465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length9.5318841
Min length2

Characters and Unicode

Total characters26308
Distinct characters424
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2408 ?
Unique (%)87.2%

Sample

1st row남양유업 가평 가정대리점
2nd row매일유업가평대리점
3rd row건국우유가평보급소
4th row매일유업(주) 청평대리점
5th row서울우유 현리 고객센터
ValueCountFrequency (%)
서울우유 155
 
4.1%
남양유업 102
 
2.7%
대리점 73
 
1.9%
남양우유 55
 
1.4%
주)한국야쿠르트 55
 
1.4%
한국야쿠르트 50
 
1.3%
매일우유 47
 
1.2%
고객센터 43
 
1.1%
연세우유 39
 
1.0%
매일유업 38
 
1.0%
Other values (2553) 3153
82.8%
2023-12-11T06:14:56.096172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 2015
 
7.7%
점 1620
 
6.2%
대 1434
 
5.5%
리 1408
 
5.4%
우 1313
 
5.0%
1051
 
4.0%
남 628
 
2.4%
양 585
 
2.2%
서 531
 
2.0%
업 486
 
1.8%
Other values (414) 15237
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24294
92.3%
Space Separator 1051
 
4.0%
Close Punctuation 381
 
1.4%
Open Punctuation 380
 
1.4%
Uppercase Letter 104
 
0.4%
Other Punctuation 47
 
0.2%
Lowercase Letter 24
 
0.1%
Decimal Number 18
 
0.1%
Other Symbol 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 2015
 
8.3%
점 1620
 
6.7%
대 1434
 
5.9%
리 1408
 
5.8%
우 1313
 
5.4%
남 628
 
2.6%
양 585
 
2.4%
서 531
 
2.2%
업 486
 
2.0%
주 454
 
1.9%
Other values (366) 13820
56.9%
Uppercase Letter
ValueCountFrequency (%)
S 28
26.9%
D 24
23.1%
C 10
 
9.6%
F 8
 
7.7%
M 5
 
4.8%
N 5
 
4.8%
G 4
 
3.8%
J 4
 
3.8%
B 4
 
3.8%
Y 3
 
2.9%
Other values (7) 9
 
8.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
16.7%
d 2
8.3%
i 2
8.3%
t 2
8.3%
r 2
8.3%
n 2
8.3%
s 2
8.3%
p 2
8.3%
c 1
 
4.2%
g 1
 
4.2%
Other values (4) 4
16.7%
Other Punctuation
ValueCountFrequency (%)
. 19
40.4%
, 17
36.2%
& 6
 
12.8%
· 4
 
8.5%
; 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 7
38.9%
2 6
33.3%
3 3
16.7%
4 2
 
11.1%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
1051
100.0%
Close Punctuation
ValueCountFrequency (%)
) 381
100.0%
Open Punctuation
ValueCountFrequency (%)
( 380
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24297
92.4%
Common 1883
 
7.2%
Latin 128
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 2015
 
8.3%
점 1620
 
6.7%
대 1434
 
5.9%
리 1408
 
5.8%
우 1313
 
5.4%
남 628
 
2.6%
양 585
 
2.4%
서 531
 
2.2%
업 486
 
2.0%
주 454
 
1.9%
Other values (367) 13823
56.9%
Latin
ValueCountFrequency (%)
S 28
21.9%
D 24
18.8%
C 10
 
7.8%
F 8
 
6.2%
M 5
 
3.9%
N 5
 
3.9%
G 4
 
3.1%
J 4
 
3.1%
B 4
 
3.1%
o 4
 
3.1%
Other values (21) 32
25.0%
Common
ValueCountFrequency (%)
1051
55.8%
) 381
 
20.2%
( 380
 
20.2%
. 19
 
1.0%
, 17
 
0.9%
1 7
 
0.4%
& 6
 
0.3%
2 6
 
0.3%
· 4
 
0.2%
3 3
 
0.2%
Other values (6) 9
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24292
92.3%
ASCII 2007
 
7.6%
None 7
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 2015
 
8.3%
점 1620
 
6.7%
대 1434
 
5.9%
리 1408
 
5.8%
우 1313
 
5.4%
남 628
 
2.6%
양 585
 
2.4%
서 531
 
2.2%
업 486
 
2.0%
주 454
 
1.9%
Other values (365) 13818
56.9%
ASCII
ValueCountFrequency (%)
1051
52.4%
) 381
 
19.0%
( 380
 
18.9%
S 28
 
1.4%
D 24
 
1.2%
. 19
 
0.9%
, 17
 
0.8%
C 10
 
0.5%
F 8
 
0.4%
1 7
 
0.3%
Other values (36) 82
 
4.1%
None
ValueCountFrequency (%)
· 4
57.1%
㈜ 3
42.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

인허가일자
Real number (ℝ)

HIGH CORRELATION 

Distinct2022
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20057766
Minimum19730704
Maximum20180824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.4 KiB
2023-12-11T06:14:56.250974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19730704
5-th percentile19940819
Q120020118
median20051126
Q320110926
95-th percentile20161670
Maximum20180824
Range450120
Interquartile range (IQR)90808.25

Descriptive statistics

Standard deviation71532.141
Coefficient of variation (CV)0.0035663065
Kurtosis0.48577703
Mean20057766
Median Absolute Deviation (MAD)49985
Skewness-0.50682494
Sum5.5359434 × 1010
Variance5.1168472 × 109
MonotonicityNot monotonic
2023-12-11T06:14:56.378721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19981119 12
 
0.4%
19971231 9
 
0.3%
20060330 8
 
0.3%
19981208 8
 
0.3%
20130509 7
 
0.3%
20060426 6
 
0.2%
19981231 6
 
0.2%
20121227 6
 
0.2%
19981229 6
 
0.2%
20040330 5
 
0.2%
Other values (2012) 2687
97.4%
ValueCountFrequency (%)
19730704 1
< 0.1%
19751002 1
< 0.1%
19780529 1
< 0.1%
19780818 1
< 0.1%
19790929 1
< 0.1%
19791012 1
< 0.1%
19800522 1
< 0.1%
19810327 1
< 0.1%
19810617 1
< 0.1%
19810930 1
< 0.1%
ValueCountFrequency (%)
20180824 1
 
< 0.1%
20180817 1
 
< 0.1%
20180802 1
 
< 0.1%
20180730 1
 
< 0.1%
20180710 1
 
< 0.1%
20180704 1
 
< 0.1%
20180629 3
0.1%
20180627 2
0.1%
20180620 1
 
< 0.1%
20180611 2
0.1%

영업상태명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.7 KiB
운영중
1900 
폐업 등
859 
휴업 등
 
1

Length

Max length4
Median length3
Mean length3.3115942
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 1900
68.8%
폐업 등 859
31.1%
휴업 등 1
 
< 0.1%

Length

2023-12-11T06:14:56.503832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:56.603781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 1900
52.5%
등 860
23.8%
폐업 859
23.7%
휴업 1
 
< 0.1%

폐업일자
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct716
Distinct (%)83.4%
Missing1901
Missing (%)68.9%
Infinite0
Infinite (%)0.0%
Mean20098074
Minimum19990121
Maximum20180718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.4 KiB
2023-12-11T06:14:56.708377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990121
5-th percentile20030826
Q120060655
median20090831
Q320140714
95-th percentile20171104
Maximum20180718
Range190597
Interquartile range (IQR)80059.5

Descriptive statistics

Standard deviation45966.812
Coefficient of variation (CV)0.0022871252
Kurtosis-1.0064064
Mean20098074
Median Absolute Deviation (MAD)39619
Skewness0.12376798
Sum1.7264246 × 1010
Variance2.1129478 × 109
MonotonicityNot monotonic
2023-12-11T06:14:56.852520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160830 7
 
0.3%
20091008 7
 
0.3%
20070531 5
 
0.2%
20050803 5
 
0.2%
20050630 3
 
0.1%
20060324 3
 
0.1%
20031029 3
 
0.1%
20090305 3
 
0.1%
20100225 3
 
0.1%
20080502 3
 
0.1%
Other values (706) 817
29.6%
(Missing) 1901
68.9%
ValueCountFrequency (%)
19990121 1
< 0.1%
19990410 1
< 0.1%
19990629 1
< 0.1%
19991108 1
< 0.1%
20000313 1
< 0.1%
20000504 1
< 0.1%
20000719 1
< 0.1%
20001116 1
< 0.1%
20010206 1
< 0.1%
20010213 1
< 0.1%
ValueCountFrequency (%)
20180718 1
< 0.1%
20180717 1
< 0.1%
20180704 1
< 0.1%
20180615 1
< 0.1%
20180529 1
< 0.1%
20180528 1
< 0.1%
20180523 1
< 0.1%
20180516 1
< 0.1%
20180504 2
0.1%
20180427 2
0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.7 KiB
축산물판매업
2760 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물판매업 2760
100.0%

Length

2023-12-11T06:14:56.999550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:14:57.079886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물판매업 2760
100.0%

소재지도로명주소
Text

MISSING 

Distinct2383
Distinct (%)90.6%
Missing130
Missing (%)4.7%
Memory size21.7 KiB
2023-12-11T06:14:57.336364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length27.259696
Min length14

Characters and Unicode

Total characters71693
Distinct characters418
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2175 ?
Unique (%)82.7%

Sample

1st row경기도 가평군 가평읍 석봉로77번길 31
2nd row경기도 가평군 청평면 경춘로 807-12
3rd row경기도 가평군 청평면 톳골길 8
4th row경기도 가평군 청평면 경춘로 807-18
5th row경기도 가평군 조종면 조종새싹로4번길 17-1 (씽어쏭노래연습장)
ValueCountFrequency (%)
경기도 2630
 
17.5%
용인시 236
 
1.6%
수원시 235
 
1.6%
고양시 234
 
1.6%
성남시 226
 
1.5%
1층 192
 
1.3%
부천시 174
 
1.2%
안산시 163
 
1.1%
안양시 132
 
0.9%
분당구 103
 
0.7%
Other values (3436) 10676
71.2%
2023-12-11T06:14:57.761384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12378
 
17.3%
1 3151
 
4.4%
기 2779
 
3.9%
시 2753
 
3.8%
경 2739
 
3.8%
도 2724
 
3.8%
동 2589
 
3.6%
로 2349
 
3.3%
) 2214
 
3.1%
( 2214
 
3.1%
Other values (408) 35803
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41368
57.7%
Space Separator 12378
 
17.3%
Decimal Number 11908
 
16.6%
Close Punctuation 2214
 
3.1%
Open Punctuation 2214
 
3.1%
Dash Punctuation 838
 
1.2%
Other Punctuation 735
 
1.0%
Uppercase Letter 32
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2779
 
6.7%
시 2753
 
6.7%
경 2739
 
6.6%
도 2724
 
6.6%
동 2589
 
6.3%
로 2349
 
5.7%
길 1892
 
4.6%
번 1548
 
3.7%
구 1352
 
3.3%
양 766
 
1.9%
Other values (375) 19877
48.0%
Decimal Number
ValueCountFrequency (%)
1 3151
26.5%
2 1582
13.3%
3 1322
11.1%
4 1025
 
8.6%
5 931
 
7.8%
0 874
 
7.3%
6 847
 
7.1%
7 778
 
6.5%
8 715
 
6.0%
9 683
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 11
34.4%
A 7
21.9%
G 3
 
9.4%
L 2
 
6.2%
I 2
 
6.2%
C 2
 
6.2%
D 2
 
6.2%
T 1
 
3.1%
E 1
 
3.1%
S 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
p 1
16.7%
l 1
16.7%
u 1
16.7%
s 1
16.7%
a 1
16.7%
i 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 733
99.7%
/ 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
12378
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2214
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 838
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41368
57.7%
Common 30287
42.2%
Latin 38
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2779
 
6.7%
시 2753
 
6.7%
경 2739
 
6.6%
도 2724
 
6.6%
동 2589
 
6.3%
로 2349
 
5.7%
길 1892
 
4.6%
번 1548
 
3.7%
구 1352
 
3.3%
양 766
 
1.9%
Other values (375) 19877
48.0%
Common
ValueCountFrequency (%)
12378
40.9%
1 3151
 
10.4%
) 2214
 
7.3%
( 2214
 
7.3%
2 1582
 
5.2%
3 1322
 
4.4%
4 1025
 
3.4%
5 931
 
3.1%
0 874
 
2.9%
6 847
 
2.8%
Other values (7) 3749
 
12.4%
Latin
ValueCountFrequency (%)
B 11
28.9%
A 7
18.4%
G 3
 
7.9%
L 2
 
5.3%
I 2
 
5.3%
C 2
 
5.3%
D 2
 
5.3%
p 1
 
2.6%
l 1
 
2.6%
u 1
 
2.6%
Other values (6) 6
15.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41368
57.7%
ASCII 30325
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12378
40.8%
1 3151
 
10.4%
) 2214
 
7.3%
( 2214
 
7.3%
2 1582
 
5.2%
3 1322
 
4.4%
4 1025
 
3.4%
5 931
 
3.1%
0 874
 
2.9%
6 847
 
2.8%
Other values (23) 3787
 
12.5%
Hangul
ValueCountFrequency (%)
기 2779
 
6.7%
시 2753
 
6.7%
경 2739
 
6.6%
도 2724
 
6.6%
동 2589
 
6.3%
로 2349
 
5.7%
길 1892
 
4.6%
번 1548
 
3.7%
구 1352
 
3.3%
양 766
 
1.9%
Other values (375) 19877
48.0%

소재지지번주소
Text

Distinct2484
Distinct (%)90.1%
Missing2
Missing (%)0.1%
Memory size21.7 KiB
2023-12-11T06:14:58.097207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length22.986222
Min length10

Characters and Unicode

Total characters63396
Distinct characters350
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2260 ?
Unique (%)81.9%

Sample

1st row경기도 가평군 가평읍 대곡리 379-9번지
2nd row경기도 가평군 청평면 청평리 470-37번지 청구APT 상가동 202호
3rd row경기도 가평군 청평면 청평리 308-2번지
4th row경기도 가평군 청평면 청평리 470-13번지 청구아파트상가 201호
5th row경기도 가평군 조종면 현리 263-15번지
ValueCountFrequency (%)
경기도 2758
 
20.3%
고양시 252
 
1.9%
용인시 243
 
1.8%
수원시 243
 
1.8%
성남시 232
 
1.7%
부천시 179
 
1.3%
안산시 166
 
1.2%
1층 165
 
1.2%
안양시 135
 
1.0%
남양주시 104
 
0.8%
Other values (3230) 9097
67.0%
2023-12-11T06:14:58.548300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10909
 
17.2%
지 2970
 
4.7%
기 2879
 
4.5%
시 2834
 
4.5%
도 2817
 
4.4%
1 2773
 
4.4%
경 2761
 
4.4%
번 2710
 
4.3%
동 2687
 
4.2%
- 2301
 
3.6%
Other values (340) 27755
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37567
59.3%
Decimal Number 12463
 
19.7%
Space Separator 10909
 
17.2%
Dash Punctuation 2301
 
3.6%
Open Punctuation 49
 
0.1%
Close Punctuation 49
 
0.1%
Uppercase Letter 34
 
0.1%
Other Punctuation 21
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2970
 
7.9%
기 2879
 
7.7%
시 2834
 
7.5%
도 2817
 
7.5%
경 2761
 
7.3%
번 2710
 
7.2%
동 2687
 
7.2%
구 1363
 
3.6%
양 777
 
2.1%
안 633
 
1.7%
Other values (311) 15136
40.3%
Decimal Number
ValueCountFrequency (%)
1 2773
22.2%
2 1487
11.9%
3 1267
10.2%
4 1203
9.7%
5 1093
 
8.8%
0 1012
 
8.1%
7 1005
 
8.1%
6 986
 
7.9%
8 837
 
6.7%
9 800
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 12
35.3%
A 10
29.4%
D 3
 
8.8%
G 2
 
5.9%
T 2
 
5.9%
P 1
 
2.9%
E 1
 
2.9%
C 1
 
2.9%
L 1
 
2.9%
I 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 17
81.0%
@ 2
 
9.5%
/ 2
 
9.5%
Lowercase Letter
ValueCountFrequency (%)
a 2
66.7%
i 1
33.3%
Space Separator
ValueCountFrequency (%)
10909
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37567
59.3%
Common 25792
40.7%
Latin 37
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2970
 
7.9%
기 2879
 
7.7%
시 2834
 
7.5%
도 2817
 
7.5%
경 2761
 
7.3%
번 2710
 
7.2%
동 2687
 
7.2%
구 1363
 
3.6%
양 777
 
2.1%
안 633
 
1.7%
Other values (311) 15136
40.3%
Common
ValueCountFrequency (%)
10909
42.3%
1 2773
 
10.8%
- 2301
 
8.9%
2 1487
 
5.8%
3 1267
 
4.9%
4 1203
 
4.7%
5 1093
 
4.2%
0 1012
 
3.9%
7 1005
 
3.9%
6 986
 
3.8%
Other values (7) 1756
 
6.8%
Latin
ValueCountFrequency (%)
B 12
32.4%
A 10
27.0%
D 3
 
8.1%
G 2
 
5.4%
T 2
 
5.4%
a 2
 
5.4%
P 1
 
2.7%
i 1
 
2.7%
E 1
 
2.7%
C 1
 
2.7%
Other values (2) 2
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37567
59.3%
ASCII 25829
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10909
42.2%
1 2773
 
10.7%
- 2301
 
8.9%
2 1487
 
5.8%
3 1267
 
4.9%
4 1203
 
4.7%
5 1093
 
4.2%
0 1012
 
3.9%
7 1005
 
3.9%
6 986
 
3.8%
Other values (19) 1793
 
6.9%
Hangul
ValueCountFrequency (%)
지 2970
 
7.9%
기 2879
 
7.7%
시 2834
 
7.5%
도 2817
 
7.5%
경 2761
 
7.3%
번 2710
 
7.2%
동 2687
 
7.2%
구 1363
 
3.6%
양 777
 
2.1%
안 633
 
1.7%
Other values (311) 15136
40.3%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1303
Distinct (%)49.0%
Missing102
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean14236.23
Minimum10011
Maximum18598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.4 KiB
2023-12-11T06:14:58.702174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10339.85
Q112082
median14281.5
Q316525
95-th percentile18111
Maximum18598
Range8587
Interquartile range (IQR)4443

Descriptive statistics

Standard deviation2486.0914
Coefficient of variation (CV)0.1746313
Kurtosis-1.1737144
Mean14236.23
Median Absolute Deviation (MAD)2242.5
Skewness-0.072332531
Sum37839899
Variance6180650.4
MonotonicityNot monotonic
2023-12-11T06:14:58.853408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16829 44
 
1.6%
13504 25
 
0.9%
13610 17
 
0.6%
10412 12
 
0.4%
13609 12
 
0.4%
15052 11
 
0.4%
14333 11
 
0.4%
10909 10
 
0.4%
17088 10
 
0.4%
14905 10
 
0.4%
Other values (1293) 2496
90.4%
(Missing) 102
 
3.7%
ValueCountFrequency (%)
10011 2
0.1%
10016 1
< 0.1%
10017 1
< 0.1%
10024 1
< 0.1%
10033 1
< 0.1%
10035 2
0.1%
10038 1
< 0.1%
10039 1
< 0.1%
10047 1
< 0.1%
10049 1
< 0.1%
ValueCountFrequency (%)
18598 4
0.1%
18595 2
0.1%
18593 3
0.1%
18589 1
 
< 0.1%
18587 1
 
< 0.1%
18584 1
 
< 0.1%
18577 1
 
< 0.1%
18574 1
 
< 0.1%
18568 1
 
< 0.1%
18565 1
 
< 0.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2292
Distinct (%)85.5%
Missing80
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean37.437283
Minimum36.960167
Maximum38.17988
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.4 KiB
2023-12-11T06:14:59.014512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960167
5-th percentile37.120997
Q137.291136
median37.404258
Q337.61583
95-th percentile37.790533
Maximum38.17988
Range1.2197129
Interquartile range (IQR)0.32469359

Descriptive statistics

Standard deviation0.20784246
Coefficient of variation (CV)0.0055517508
Kurtosis-0.21523527
Mean37.437283
Median Absolute Deviation (MAD)0.12758201
Skewness0.2798743
Sum100331.92
Variance0.04319849
MonotonicityNot monotonic
2023-12-11T06:14:59.184028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2759287417 6
 
0.2%
37.388966431 5
 
0.2%
37.697125715 5
 
0.2%
37.3071732281 5
 
0.2%
37.3314259605 5
 
0.2%
37.6826765501 4
 
0.1%
37.3869134792 4
 
0.1%
37.2559324255 4
 
0.1%
37.2429929111 4
 
0.1%
37.3320467683 4
 
0.1%
Other values (2282) 2634
95.4%
(Missing) 80
 
2.9%
ValueCountFrequency (%)
36.9601672594 1
< 0.1%
36.9630201841 1
< 0.1%
36.9630834476 1
< 0.1%
36.9643005688 1
< 0.1%
36.9643943993 1
< 0.1%
36.9798337082 1
< 0.1%
36.9816179574 1
< 0.1%
36.982537751 1
< 0.1%
36.9839171798 1
< 0.1%
36.983973055 1
< 0.1%
ValueCountFrequency (%)
38.1798801272 1
< 0.1%
38.1100077897 1
< 0.1%
38.0963956371 1
< 0.1%
38.0934850043 1
< 0.1%
38.0890727527 2
0.1%
38.032965532 1
< 0.1%
38.0204664961 1
< 0.1%
38.0141415947 1
< 0.1%
38.0031623187 1
< 0.1%
37.9647984651 1
< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2292
Distinct (%)85.5%
Missing80
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean127.00651
Minimum126.55502
Maximum127.68094
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.4 KiB
2023-12-11T06:14:59.323523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55502
5-th percentile126.75204
Q1126.83609
median127.01986
Q3127.1297
95-th percentile127.32452
Maximum127.68094
Range1.1259225
Interquartile range (IQR)0.29361166

Descriptive statistics

Standard deviation0.19476461
Coefficient of variation (CV)0.001533501
Kurtosis0.6257319
Mean127.00651
Median Absolute Deviation (MAD)0.14256916
Skewness0.64383562
Sum340377.46
Variance0.037933255
MonotonicityNot monotonic
2023-12-11T06:14:59.456571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1127742357 6
 
0.2%
127.2517195743 5
 
0.2%
127.0420465517 5
 
0.2%
127.1052566005 5
 
0.2%
127.1014836883 5
 
0.2%
126.7583379023 4
 
0.1%
126.9803415508 4
 
0.1%
127.1009119108 4
 
0.1%
127.2110908451 4
 
0.1%
127.0984777533 4
 
0.1%
Other values (2282) 2634
95.4%
(Missing) 80
 
2.9%
ValueCountFrequency (%)
126.5550222598 1
< 0.1%
126.5824131366 1
< 0.1%
126.5898157068 1
< 0.1%
126.5946761202 1
< 0.1%
126.5967167419 1
< 0.1%
126.6022765803 1
< 0.1%
126.6046831334 1
< 0.1%
126.6089576233 1
< 0.1%
126.6096623253 1
< 0.1%
126.6105667253 1
< 0.1%
ValueCountFrequency (%)
127.6809447698 1
< 0.1%
127.665257989 1
< 0.1%
127.6610771988 1
< 0.1%
127.6491731224 1
< 0.1%
127.6421348181 1
< 0.1%
127.6417783191 1
< 0.1%
127.6412439041 1
< 0.1%
127.6407471458 2
0.1%
127.639999975 1
< 0.1%
127.6397520189 1
< 0.1%

Interactions

2023-12-11T06:14:54.259299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:52.460827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:52.931505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.386026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.811785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:54.351838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:52.555404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.031755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.474691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.901597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:54.459065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:52.678239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.128379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.571290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.992764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:54.539599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:52.764577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.213251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.649188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:54.072928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:54.622231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:52.850300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.302782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:53.735776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:14:54.166772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:14:59.554202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명인허가일자영업상태명폐업일자소재지우편번호WGS84위도WGS84경도
시군명1.0000.3270.2250.4760.9910.9630.944
인허가일자0.3271.0000.2880.5200.2570.2320.200
영업상태명0.2250.2881.000NaN0.1350.0720.101
폐업일자0.4760.520NaN1.0000.2940.2860.369
소재지우편번호0.9910.2570.1350.2941.0000.9250.858
WGS84위도0.9630.2320.0720.2860.9251.0000.680
WGS84경도0.9440.2000.1010.3690.8580.6801.000
2023-12-11T06:14:59.670011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태명시군명
영업상태명1.0000.114
시군명0.1141.000
2023-12-11T06:14:59.744153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자폐업일자소재지우편번호WGS84위도WGS84경도시군명영업상태명
인허가일자1.0000.5230.000-0.0140.0720.1200.180
폐업일자0.5231.000-0.0100.0180.0950.1851.000
소재지우편번호0.000-0.0101.000-0.9050.1970.9210.081
WGS84위도-0.0140.018-0.9051.000-0.2370.7820.042
WGS84경도0.0720.0950.197-0.2371.0000.7110.060
시군명0.1200.1850.9210.7820.7111.0000.114
영업상태명0.1801.0000.0810.0420.0600.1141.000

Missing values

2023-12-11T06:14:54.743173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:14:55.149143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T06:14:55.282918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명사업장명인허가일자영업상태명폐업일자축산업무구분명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0가평군남양유업 가평 가정대리점20080612운영중<NA>축산물판매업경기도 가평군 가평읍 석봉로77번길 31경기도 가평군 가평읍 대곡리 379-9번지1241637.822353127.510124
1가평군매일유업가평대리점20060404운영중<NA>축산물판매업경기도 가평군 청평면 경춘로 807-12경기도 가평군 청평면 청평리 470-37번지 청구APT 상가동 202호1245137.738122127.417318
2가평군건국우유가평보급소20050205운영중<NA>축산물판매업경기도 가평군 청평면 톳골길 8경기도 가평군 청평면 청평리 308-2번지1245137.74073127.421095
3가평군매일유업(주) 청평대리점20080429운영중<NA>축산물판매업경기도 가평군 청평면 경춘로 807-18경기도 가평군 청평면 청평리 470-13번지 청구아파트상가 201호1245137.738122127.417318
4가평군서울우유 현리 고객센터19981028운영중<NA>축산물판매업경기도 가평군 조종면 조종새싹로4번길 17-1 (씽어쏭노래연습장)경기도 가평군 조종면 현리 263-15번지1243737.819103127.349965
5가평군남양유업 가평대리점19981128운영중<NA>축산물판매업경기도 가평군 가평읍 달전로 45 (거창식당)경기도 가평군 가평읍 달전리 338-1번지1242237.814339127.518644
6가평군서울우유 가평 고객센터20080801운영중<NA>축산물판매업경기도 가평군 가평읍 보납로46번길 5경기도 가평군 가평읍 읍내리 415-17번지1241937.83077127.515943
7가평군서울우유 청평 고객센터19981214운영중<NA>축산물판매업경기도 가평군 청평면 여울길 5-4, 1층경기도 가평군 청평면 청평리 315-3번지1245237.738702127.421914
8가평군남양우유가평보급소20000221폐업 등20080114축산물판매업경기도 가평군 가평읍 가화로 26-27경기도 가평군 가평읍 대곡리 13-1번지1242137.822099127.517896
9가평군서울우유가평보급소20000818폐업 등20080801축산물판매업<NA>경기도 가평군 가평읍 대곡리 258-5번지12416<NA><NA>
시군명사업장명인허가일자영업상태명폐업일자축산업무구분명소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
2750화성시해태유업화성샤리신오산대리점19991204폐업 등20050803축산물판매업경기도 화성시 향남읍 발안만세길 69경기도 화성시 향남읍 발안리 210-1번지1859537.129817126.900023
2751화성시남양우유송산대리점20090330폐업 등20111017축산물판매업경기도 화성시 글판동길 12 (남양동)경기도 화성시 남양동 306번지1825437.205357126.80162
2752화성시(주)한국야쿠르트 봉담점20120402폐업 등20140303축산물판매업경기도 화성시 봉담읍 오래4길 8경기도 화성시 봉담읍 동화리 559-5번지1830337.220492126.954569
2753화성시서울우유 화성기배 고객센터20150224폐업 등20160728축산물판매업경기도 화성시 효행로291번길 49, A동 (기안동)경기도 화성시 기안동 286번지 A동1833737.225548126.976502
2754화성시덴마크우유20081009폐업 등20091216축산물판매업경기도 화성시 봉담읍 시청로 1519경기도 화성시 봉담읍 마하리 341번지1833537.175796126.945901
2755화성시앙젤로 제주우유 오산대리점20090120폐업 등20100523축산물판매업경기도 화성시 병점동로134번길 39-1 (진안동,설화빌 1층(상가101호))경기도 화성시 진안동 853-4번지 설화빌 1층(상가101호)1839237.217712127.03848
2756화성시파스퇴르 수원ㆍ광교대리점20090406폐업 등20111212축산물판매업경기도 화성시 기배로 65 (기안동)경기도 화성시 기안동 448-2번지1833937.2234126.981939
2757화성시서울우유 화성 기배 화산 고객센터20090713폐업 등20150224축산물판매업경기도 화성시 효행로291번길 49 (기안동)경기도 화성시 기안동1833737.225548126.976502
2758화성시파스퇴르유업(주) 발안유통20091106폐업 등20130514축산물판매업경기도 화성시 마도면 마도공단로1길 8 (마도공단 공구상가 사동 101호)경기도 화성시 마도면 쌍송리 662번지 마도공단 공구상가 사동 101호1854237.186389126.790664
2759화성시매일우유태안대리점20071009휴업 등<NA>축산물판매업경기도 화성시 병점4로 65, 1동 (진안동,외 1필지)경기도 화성시 진안동 861-10번지 외 1필지 1동1839237.215023127.037876