Overview

Dataset statistics

Number of variables9
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory74.3 B

Variable types

Categorical5
Numeric1
Text3

Dataset

Description샘플 데이터
Author지디에스컨설팅그룹
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=69270d70-fe2a-11ea-9d31-b9e02b707df2

Alerts

복지시설코드 is highly overall correlated with 복지시설명High correlation
상가업체구분코드 is highly overall correlated with 업체번호 and 2 other fieldsHigh correlation
복지시설명 is highly overall correlated with 복지시설코드High correlation
업종명 is highly overall correlated with 상가업체구분코드 and 1 other fieldsHigh correlation
업종코드 is highly overall correlated with 상가업체구분코드 and 1 other fieldsHigh correlation
업체번호 is highly overall correlated with 상가업체구분코드High correlation

Reproduction

Analysis started2023-12-10 13:31:45.878465
Analysis finished2023-12-10 13:31:47.740695
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

복지시설코드
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A0063
9 
A0027
8 
A0029
 
5
A0061
 
4
A0131
 
3
Other values (44)
71 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique25 ?
Unique (%)25.0%

Sample

1st rowA0001
2nd rowA0002
3rd rowA0004
4th rowA0004
5th rowA0004

Common Values

ValueCountFrequency (%)
A0063 9
 
9.0%
A0027 8
 
8.0%
A0029 5
 
5.0%
A0061 4
 
4.0%
A0131 3
 
3.0%
A0022 3
 
3.0%
A0004 3
 
3.0%
A0088 3
 
3.0%
A0026 3
 
3.0%
A0093 3
 
3.0%
Other values (39) 56
56.0%

Length

2023-12-10T22:31:47.829943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a0063 9
 
9.0%
a0027 8
 
8.0%
a0029 5
 
5.0%
a0061 4
 
4.0%
a0026 3
 
3.0%
a0165 3
 
3.0%
a0025 3
 
3.0%
a0079 3
 
3.0%
a0093 3
 
3.0%
a0088 3
 
3.0%
Other values (39) 56
56.0%

복지시설명
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
성이시돌요양원
9 
윤금노인요양원
8 
성심노인요양원
 
5
영락양로원
 
4
세화요양원
 
4
Other values (43)
70 

Length

Max length18
Median length12
Mean length6.84
Min length3

Unique

Unique24 ?
Unique (%)24.0%

Sample

1st row서울꽃동네신내노인요양원
2nd row청운양로원
3rd row홍파양로원
4th row홍파양로원
5th row홍파양로원

Common Values

ValueCountFrequency (%)
성이시돌요양원 9
 
9.0%
윤금노인요양원 8
 
8.0%
성심노인요양원 5
 
5.0%
영락양로원 4
 
4.0%
세화요양원 4
 
4.0%
솔뫼베네딕도의 집 3
 
3.0%
영락경로원 3
 
3.0%
홍파양로원 3
 
3.0%
늘푸른노인요양원 3
 
3.0%
제주태고원 3
 
3.0%
Other values (38) 55
55.0%

Length

2023-12-10T22:31:48.024413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성이시돌요양원 9
 
8.2%
윤금노인요양원 8
 
7.3%
집 6
 
5.5%
성심노인요양원 5
 
4.5%
영락양로원 4
 
3.6%
세화요양원 4
 
3.6%
영기노인요양원 3
 
2.7%
늘푸른노인전문요양시설 3
 
2.7%
고향의 3
 
2.7%
제주태고원 3
 
2.7%
Other values (41) 62
56.4%

상가업체구분코드
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
S
85 
C
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
S 85
85.0%
C 15
 
15.0%

Length

2023-12-10T22:31:48.217410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:31:48.364736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s 85
85.0%
c 15
 
15.0%

업체번호
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18782685
Minimum1100
Maximum28517830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T22:31:48.526821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1100
5-th percentile10489.65
Q120619609
median22113414
Q324455763
95-th percentile25513677
Maximum28517830
Range28516730
Interquartile range (IQR)3836154

Descriptive statistics

Standard deviation8837795.1
Coefficient of variation (CV)0.47052885
Kurtosis0.3564491
Mean18782685
Median Absolute Deviation (MAD)2332901
Skewness-1.3893296
Sum1.8782685 × 109
Variance7.8106622 × 1013
MonotonicityNot monotonic
2023-12-10T22:31:48.750427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24127132 2
 
2.0%
20619609 2
 
2.0%
21808592 2
 
2.0%
22494921 2
 
2.0%
27728081 2
 
2.0%
22182005 2
 
2.0%
8818649 2
 
2.0%
21657241 2
 
2.0%
24013046 2
 
2.0%
24516328 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
1100 1
1.0%
2402 1
1.0%
3536 1
1.0%
4521 1
1.0%
8013 1
1.0%
10620 1
1.0%
89442 1
1.0%
164213 1
1.0%
164877 1
1.0%
309297 1
1.0%
ValueCountFrequency (%)
28517830 1
1.0%
28428978 1
1.0%
27728081 2
2.0%
26219679 1
1.0%
25476519 1
1.0%
25022739 1
1.0%
24970681 1
1.0%
24897576 1
1.0%
24867273 1
1.0%
24832999 1
1.0%

업체명
Text

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:31:49.119939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.77
Min length3

Characters and Unicode

Total characters677
Distinct characters158
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)77.0%

Sample

1st row삼화페인트신내대리점
2nd row압량제일가스
3rd row남주네방앗간
4th row양지진흥개발직영상계주유소
5th row상계동오일뱅크
ValueCountFrequency (%)
금호석유화학(주 3
 
3.0%
광산iclpg충전소 2
 
2.0%
양지진흥개발직영상계주유소 2
 
2.0%
남구에너지 2
 
2.0%
남주네방앗간 2
 
2.0%
상계동오일뱅크 2
 
2.0%
한진에너지 2
 
2.0%
국민에너지 2
 
2.0%
춘천구도일주유소 2
 
2.0%
그린에너지 2
 
2.0%
Other values (78) 79
79.0%
2023-12-10T22:31:49.715117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 54
 
8.0%
유 48
 
7.1%
소 38
 
5.6%
스 26
 
3.8%
지 19
 
2.8%
에 18
 
2.7%
가 16
 
2.4%
너 16
 
2.4%
석 12
 
1.8%
) 11
 
1.6%
Other values (148) 419
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 620
91.6%
Uppercase Letter 31
 
4.6%
Close Punctuation 11
 
1.6%
Open Punctuation 11
 
1.6%
Decimal Number 2
 
0.3%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 54
 
8.7%
유 48
 
7.7%
소 38
 
6.1%
스 26
 
4.2%
지 19
 
3.1%
에 18
 
2.9%
가 16
 
2.6%
너 16
 
2.6%
석 12
 
1.9%
사 11
 
1.8%
Other values (135) 362
58.4%
Uppercase Letter
ValueCountFrequency (%)
K 9
29.0%
S 9
29.0%
G 3
 
9.7%
P 3
 
9.7%
L 3
 
9.7%
I 2
 
6.5%
C 2
 
6.5%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
1 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 620
91.6%
Latin 33
 
4.9%
Common 24
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 54
 
8.7%
유 48
 
7.7%
소 38
 
6.1%
스 26
 
4.2%
지 19
 
3.1%
에 18
 
2.9%
가 16
 
2.6%
너 16
 
2.6%
석 12
 
1.9%
사 11
 
1.8%
Other values (135) 362
58.4%
Latin
ValueCountFrequency (%)
K 9
27.3%
S 9
27.3%
G 3
 
9.1%
P 3
 
9.1%
L 3
 
9.1%
I 2
 
6.1%
C 2
 
6.1%
k 1
 
3.0%
s 1
 
3.0%
Common
ValueCountFrequency (%)
) 11
45.8%
( 11
45.8%
0 1
 
4.2%
1 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 620
91.6%
ASCII 57
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 54
 
8.7%
유 48
 
7.7%
소 38
 
6.1%
스 26
 
4.2%
지 19
 
3.1%
에 18
 
2.9%
가 16
 
2.6%
너 16
 
2.6%
석 12
 
1.9%
사 11
 
1.8%
Other values (135) 362
58.4%
ASCII
ValueCountFrequency (%)
) 11
19.3%
( 11
19.3%
K 9
15.8%
S 9
15.8%
G 3
 
5.3%
P 3
 
5.3%
L 3
 
5.3%
I 2
 
3.5%
C 2
 
3.5%
0 1
 
1.8%
Other values (3) 3
 
5.3%

업종코드
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
F16A01
44 
D25A12
16 
D25A10
8 
F16A02
8 
F15A05
 
4
Other values (13)
20 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique7 ?
Unique (%)7.0%

Sample

1st rowD22A02
2nd rowD25A12
3rd rowF16A03
4th rowF16A01
5th rowF16A01

Common Values

ValueCountFrequency (%)
F16A01 44
44.0%
D25A12 16
 
16.0%
D25A10 8
 
8.0%
F16A02 8
 
8.0%
F15A05 4
 
4.0%
241301 3
 
3.0%
241302 2
 
2.0%
241102 2
 
2.0%
241106 2
 
2.0%
F16A03 2
 
2.0%
Other values (8) 9
 
9.0%

Length

2023-12-10T22:31:49.920785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
f16a01 44
44.0%
d25a12 16
 
16.0%
d25a10 8
 
8.0%
f16a02 8
 
8.0%
f15a05 4
 
4.0%
241301 3
 
3.0%
241106 2
 
2.0%
d22a02 2
 
2.0%
f16a03 2
 
2.0%
241102 2
 
2.0%
Other values (8) 9
 
9.0%

업종명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
주유소
44 
LPG판매
16 
가정용연료소매
8 
차량가스충전소
8 
가스설비
 
4
Other values (13)
20 

Length

Max length28
Median length21
Mean length5.99
Min length3

Unique

Unique7 ?
Unique (%)7.0%

Sample

1st row도료염료
2nd rowLPG판매
3rd row차량연료소매-종합
4th row주유소
5th row주유소

Common Values

ValueCountFrequency (%)
주유소 44
44.0%
LPG판매 16
 
16.0%
가정용연료소매 8
 
8.0%
차량가스충전소 8
 
8.0%
가스설비 4
 
4.0%
합성고무 제조업 3
 
3.0%
합성수지 및 기타 플라스틱 물질 제조업 2
 
2.0%
기타 기초 무기화학 물질 제조업 2
 
2.0%
석탄화학계 화합물 및 기타 기초 유기화학 물질제조업 2
 
2.0%
차량연료소매-종합 2
 
2.0%
Other values (8) 9
 
9.0%

Length

2023-12-10T22:31:50.091741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주유소 44
29.9%
lpg판매 16
 
10.9%
제조업 11
 
7.5%
가정용연료소매 8
 
5.4%
차량가스충전소 8
 
5.4%
및 7
 
4.8%
기타 7
 
4.8%
가스설비 4
 
2.7%
물질 4
 
2.7%
기초 4
 
2.7%
Other values (23) 34
23.1%

업체주소
Text

Distinct72
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:31:50.550619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length14.51
Min length11

Characters and Unicode

Total characters1451
Distinct characters132
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

Unique51 ?
Unique (%)51.0%

Sample

1st row서울특별시 중랑구 봉화산로56길
2nd row경상북도 경산시 중앙로17길
3rd row서울특별시 노원구 상계로27길
4th row서울특별시 노원구 노해로
5th row서울특별시 노원구 노원로26길
ValueCountFrequency (%)
서울특별시 19
 
5.9%
강원도 18
 
5.6%
경기도 16
 
4.9%
중구 12
 
3.7%
부산광역시 10
 
3.1%
강릉시 8
 
2.5%
사상구 8
 
2.5%
울산광역시 7
 
2.2%
서구 7
 
2.2%
노원구 6
 
1.9%
Other values (122) 213
65.7%
2023-12-10T22:31:51.400016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
15.4%
시 97
 
6.7%
로 91
 
6.3%
구 74
 
5.1%
도 51
 
3.5%
광 38
 
2.6%
원 38
 
2.6%
길 36
 
2.5%
역 32
 
2.2%
서 31
 
2.1%
Other values (122) 739
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1157
79.7%
Space Separator 224
 
15.4%
Decimal Number 70
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 97
 
8.4%
로 91
 
7.9%
구 74
 
6.4%
도 51
 
4.4%
광 38
 
3.3%
원 38
 
3.3%
길 36
 
3.1%
역 32
 
2.8%
서 31
 
2.7%
강 30
 
2.6%
Other values (112) 639
55.2%
Decimal Number
ValueCountFrequency (%)
1 16
22.9%
2 13
18.6%
5 8
11.4%
7 8
11.4%
3 6
 
8.6%
4 6
 
8.6%
6 6
 
8.6%
0 5
 
7.1%
9 2
 
2.9%
Space Separator
ValueCountFrequency (%)
224
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1157
79.7%
Common 294
 
20.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 97
 
8.4%
로 91
 
7.9%
구 74
 
6.4%
도 51
 
4.4%
광 38
 
3.3%
원 38
 
3.3%
길 36
 
3.1%
역 32
 
2.8%
서 31
 
2.7%
강 30
 
2.6%
Other values (112) 639
55.2%
Common
ValueCountFrequency (%)
224
76.2%
1 16
 
5.4%
2 13
 
4.4%
5 8
 
2.7%
7 8
 
2.7%
3 6
 
2.0%
4 6
 
2.0%
6 6
 
2.0%
0 5
 
1.7%
9 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1157
79.7%
ASCII 294
 
20.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
76.2%
1 16
 
5.4%
2 13
 
4.4%
5 8
 
2.7%
7 8
 
2.7%
3 6
 
2.0%
4 6
 
2.0%
6 6
 
2.0%
0 5
 
1.7%
9 2
 
0.7%
Hangul
ValueCountFrequency (%)
시 97
 
8.4%
로 91
 
7.9%
구 74
 
6.4%
도 51
 
4.4%
광 38
 
3.3%
원 38
 
3.3%
길 36
 
3.1%
역 32
 
2.8%
서 31
 
2.7%
강 30
 
2.6%
Other values (112) 639
55.2%

공간정보
Text

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:31:51.866037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length50
Mean length50
Min length50

Characters and Unicode

Total characters5000
Distinct characters16
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

Unique61 ?
Unique (%)61.0%

Sample

1st row01010000203B1400008C15AC9F05702D4177E492328EDA3D41
2nd row01010000203B1400002DFC187698F53041BDD363EE7BDA3A41
3rd row01010000203B14000041100D1F945C2D4108CC84DF02F13D41
4th row01010000203B1400007DF92DCBD9592D41815C5320C2EF3D41
5th row01010000203B1400009FBCEDB4045D2D41CEF8C631C8F03D41
ValueCountFrequency (%)
01010000203b1400005d3e1dd155232d4146cd999088c93d41 4
 
4.0%
01010000203b140000167a006c17c8314163c1d1f99a713a41 4
 
4.0%
01010000203b14000091373232e2233141d4374706fc243e41 3
 
3.0%
01010000203b14000004fb38f4c0aa2d419a97e4f8f4c13d41 2
 
2.0%
01010000203b1400000b96eb0cdbc73141dae2b5a8e5713a41 2
 
2.0%
01010000203b140000b5f617e09ec62c418397c540bba23941 2
 
2.0%
01010000203b1400006e93cc47d4792e4101045484bf463c41 2
 
2.0%
01010000203b140000613d2ccdfd3d2c417078fd0651873d41 2
 
2.0%
01010000203b140000f9760ddad4362d416bad66ea6f523d41 2
 
2.0%
01010000203b1400000ae56d9ea52b2f410b186adf09423e41 2
 
2.0%
Other values (68) 75
75.0%
2023-12-10T22:31:52.484765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1260
25.2%
1 682
13.6%
4 446
 
8.9%
3 378
 
7.6%
2 303
 
6.1%
D 236
 
4.7%
B 225
 
4.5%
C 201
 
4.0%
A 171
 
3.4%
9 166
 
3.3%
Other values (6) 932
18.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3843
76.9%
Uppercase Letter 1157
 
23.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1260
32.8%
1 682
17.7%
4 446
 
11.6%
3 378
 
9.8%
2 303
 
7.9%
9 166
 
4.3%
7 155
 
4.0%
6 153
 
4.0%
5 150
 
3.9%
8 150
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
D 236
20.4%
B 225
19.4%
C 201
17.4%
A 171
14.8%
F 164
14.2%
E 160
13.8%

Most occurring scripts

ValueCountFrequency (%)
Common 3843
76.9%
Latin 1157
 
23.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1260
32.8%
1 682
17.7%
4 446
 
11.6%
3 378
 
9.8%
2 303
 
7.9%
9 166
 
4.3%
7 155
 
4.0%
6 153
 
4.0%
5 150
 
3.9%
8 150
 
3.9%
Latin
ValueCountFrequency (%)
D 236
20.4%
B 225
19.4%
C 201
17.4%
A 171
14.8%
F 164
14.2%
E 160
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1260
25.2%
1 682
13.6%
4 446
 
8.9%
3 378
 
7.6%
2 303
 
6.1%
D 236
 
4.7%
B 225
 
4.5%
C 201
 
4.0%
A 171
 
3.4%
9 166
 
3.3%
Other values (6) 932
18.6%

Interactions

2023-12-10T22:31:47.277090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:31:52.666496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
복지시설코드복지시설명상가업체구분코드업체번호업체명업종코드업종명업체주소공간정보
복지시설코드1.0001.0000.7890.8640.8810.0000.0000.9960.994
복지시설명1.0001.0000.8250.8720.8420.0000.0000.9970.994
상가업체구분코드0.7890.8251.0001.0001.0001.0001.0000.9891.000
업체번호0.8640.8721.0001.0001.0000.6420.6420.9810.988
업체명0.8810.8421.0001.0001.0001.0001.0000.9991.000
업종코드0.0000.0001.0000.6421.0001.0001.0000.9050.982
업종명0.0000.0001.0000.6421.0001.0001.0000.9050.982
업체주소0.9960.9970.9890.9810.9990.9050.9051.0001.000
공간정보0.9940.9941.0000.9881.0000.9820.9821.0001.000
2023-12-10T22:31:52.847376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
복지시설코드상가업체구분코드복지시설명업종명업종코드
복지시설코드1.0000.4890.9900.0000.000
상가업체구분코드0.4891.0000.4990.9150.915
복지시설명0.9900.4991.0000.0000.000
업종명0.0000.9150.0001.0001.000
업종코드0.0000.9150.0001.0001.000
2023-12-10T22:31:52.996861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체번호복지시설코드복지시설명상가업체구분코드업종코드업종명
업체번호1.0000.4000.4130.9640.2540.254
복지시설코드0.4001.0000.9900.4890.0000.000
복지시설명0.4130.9901.0000.4990.0000.000
상가업체구분코드0.9640.4890.4991.0000.9150.915
업종코드0.2540.0000.0000.9151.0001.000
업종명0.2540.0000.0000.9151.0001.000

Missing values

2023-12-10T22:31:47.444678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:31:47.669109image/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.

Sample

복지시설코드복지시설명상가업체구분코드업체번호업체명업종코드업종명업체주소공간정보
0A0001서울꽃동네신내노인요양원S20888350삼화페인트신내대리점D22A02도료염료서울특별시 중랑구 봉화산로56길01010000203B1400008C15AC9F05702D4177E492328EDA3D41
1A0002청운양로원S21252258압량제일가스D25A12LPG판매경상북도 경산시 중앙로17길01010000203B1400002DFC187698F53041BDD363EE7BDA3A41
2A0004홍파양로원S20619609남주네방앗간F16A03차량연료소매-종합서울특별시 노원구 상계로27길01010000203B14000041100D1F945C2D4108CC84DF02F13D41
3A0004홍파양로원S21808592양지진흥개발직영상계주유소F16A01주유소서울특별시 노원구 노해로01010000203B1400007DF92DCBD9592D41815C5320C2EF3D41
4A0004홍파양로원S22494921상계동오일뱅크F16A01주유소서울특별시 노원구 노원로26길01010000203B1400009FBCEDB4045D2D41CEF8C631C8F03D41
5A0007천사노인요양원S21971532한진에너지D25A12LPG판매서울특별시 강서구 강서로45가길01010000203B140000769289FD19BA2C41A86F75B372C03D41
6A0012참사랑전문요양원S22088329레이디스주유소F16A01주유소경기도 고양시 덕양구 호국로01010000203B140000A1CFAE3693B62C41FA231A2AAAEA3D41
7A0012참사랑전문요양원S24445427SK네트웍스레이디F16A01주유소경기도 고양시 덕양구 호국로01010000203B140000A1CFAE3693B62C41FA231A2AAAEA3D41
8A0015인천신생요양원S24032318진현주유소F16A01주유소인천광역시 서구 서곶로01010000203B140000D7FF7AE8A84B2C4194B915D8A1D03D41
9A0015인천신생요양원S24832999SK네트웍스한영주유소F16A01주유소인천광역시 서구 서곶로01010000203B140000B66B8C77834B2C41ADA3C3C36ED03D41
복지시설코드복지시설명상가업체구분코드업체번호업체명업종코드업종명업체주소공간정보
90A0133생수실버하우스C502718아진산업가스주식회사241101산업용 가스 제조업인천광역시 서구 봉수대로300번길01010000203B140000B0DB445FDA442C41E275BBDFF9AD3D41
91A0135춘천시립양로원S8818649춘천구도일주유소F16A01주유소강원도 춘천시 퇴계농공로01010000203B1400000AE56D9EA52B2F410B186ADF09423E41
92A0136기쁨의집S21331399대성주유소F16A01주유소경기도 가평군 청평면 경춘로01010000203B1400001C8127E376312E41678F364329FC3D41
93A0136기쁨의집S24674072삼경석유대성주유소F16A01주유소경기도 가평군 청평면 경춘로01010000203B1400001C8127E376312E41678F364329FC3D41
94A0151만수노인복지원S28517830오일뱅크강남F16A01주유소강원도 강릉시 강변로01010000203B14000088D4887A8226314176CC69F11C1E3E41
95A0153온양정애원S21858228영일주유소F16A01주유소충청남도 아산시 충무로01010000203B140000C6E98FA2342C2D416CEAE45301773C41
96A0153온양정애원S21892457인정에너지F15A05가스설비충청남도 아산시 번영로216번길01010000203B140000ABF386D087312D41B2E9FF16E2743C41
97A0165솔뫼베네딕도의 집S24595793첫사랑주유소F16A01주유소경기도 안양시 동안구 부림로01010000203B1400008ADD0C4806102D41ECC4493AFD803D41
98A0165솔뫼베네딕도의 집S24671582SK네트웍스평촌신도시주F16A01주유소경기도 안양시 동안구 시민대로01010000203B140000BF703BF182112D411A698D67387F3D41
99A0165솔뫼베네딕도의 집C309297주식회사제이앤제이테크241302합성수지 및 기타 플라스틱 물질 제조업경기도 안양시 동안구 시민대로327번길01010000203B1400008C6E39480F102D41E9FE5EA7FE7F3D41