Overview

Dataset statistics

Number of variables7
Number of observations192
Missing cells199
Missing cells (%)14.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory58.7 B

Variable types

Numeric2
Text4
DateTime1

Dataset

Description인천광역시 중구 관내에 위치한 안전상비의약품 판매업소 현황에 대한 데이터 입니다.파일명 인천광역시_중구_안전상비의약품 판매업소 현황파일내용 점포명, 주소, 우편번호 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15066577&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
소재지 지번주소 has 50 (26.0%) missing valuesMissing
전화번호 has 149 (77.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:34:33.240081
Analysis finished2024-01-28 11:34:34.117874
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.5
Minimum1
Maximum192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-28T20:34:34.178617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.55
Q148.75
median96.5
Q3144.25
95-th percentile182.45
Maximum192
Range191
Interquartile range (IQR)95.5

Descriptive statistics

Standard deviation55.569776
Coefficient of variation (CV)0.5758526
Kurtosis-1.2
Mean96.5
Median Absolute Deviation (MAD)48
Skewness0
Sum18528
Variance3088
MonotonicityStrictly increasing
2024-01-28T20:34:34.287829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
98 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
Other values (182) 182
94.8%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%

판매점포명
Text

Distinct191
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T20:34:34.505704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length11.151042
Min length3

Characters and Unicode

Total characters2141
Distinct characters219
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)99.0%

Sample

1st rowCU 을왕로드점
2nd row이마트24 월미트윈점
3rd row씨유 인천노르웨이숲점
4th row(주)랜스타오일 GS25오일캠프점
5th row씨유 영종센텀베뉴점
ValueCountFrequency (%)
씨유 61
 
16.4%
세븐일레븐 35
 
9.4%
지에스25 30
 
8.0%
이마트24 11
 
2.9%
gs25 11
 
2.9%
주)코리아세븐 8
 
2.1%
미니스톱 5
 
1.3%
영종 4
 
1.1%
주)비지에프리테일 3
 
0.8%
신포로데오점 3
 
0.8%
Other values (194) 202
54.2%
2024-01-28T20:34:34.863105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 182
 
8.5%
181
 
8.5%
영 81
 
3.8%
븐 80
 
3.7%
종 79
 
3.7%
2 74
 
3.5%
유 68
 
3.2%
씨 68
 
3.2%
스 67
 
3.1%
5 54
 
2.5%
Other values (209) 1207
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1726
80.6%
Space Separator 181
 
8.5%
Decimal Number 153
 
7.1%
Uppercase Letter 51
 
2.4%
Open Punctuation 14
 
0.7%
Close Punctuation 14
 
0.7%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 182
 
10.5%
영 81
 
4.7%
븐 80
 
4.6%
종 79
 
4.6%
유 68
 
3.9%
씨 68
 
3.9%
스 67
 
3.9%
지 46
 
2.7%
세 46
 
2.7%
에 44
 
2.5%
Other values (185) 965
55.9%
Uppercase Letter
ValueCountFrequency (%)
S 18
35.3%
G 16
31.4%
R 4
 
7.8%
C 3
 
5.9%
U 2
 
3.9%
J 1
 
2.0%
B 1
 
2.0%
D 1
 
2.0%
K 1
 
2.0%
H 1
 
2.0%
Other values (3) 3
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 74
48.4%
5 54
35.3%
4 17
 
11.1%
3 3
 
2.0%
1 3
 
2.0%
8 2
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
181
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1726
80.6%
Common 362
 
16.9%
Latin 53
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 182
 
10.5%
영 81
 
4.7%
븐 80
 
4.6%
종 79
 
4.6%
유 68
 
3.9%
씨 68
 
3.9%
스 67
 
3.9%
지 46
 
2.7%
세 46
 
2.7%
에 44
 
2.5%
Other values (185) 965
55.9%
Latin
ValueCountFrequency (%)
S 18
34.0%
G 16
30.2%
R 4
 
7.5%
C 3
 
5.7%
U 2
 
3.8%
J 1
 
1.9%
B 1
 
1.9%
D 1
 
1.9%
k 1
 
1.9%
s 1
 
1.9%
Other values (5) 5
 
9.4%
Common
ValueCountFrequency (%)
181
50.0%
2 74
20.4%
5 54
 
14.9%
4 17
 
4.7%
( 14
 
3.9%
) 14
 
3.9%
3 3
 
0.8%
1 3
 
0.8%
8 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1726
80.6%
ASCII 415
 
19.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 182
 
10.5%
영 81
 
4.7%
븐 80
 
4.6%
종 79
 
4.6%
유 68
 
3.9%
씨 68
 
3.9%
스 67
 
3.9%
지 46
 
2.7%
세 46
 
2.7%
에 44
 
2.5%
Other values (185) 965
55.9%
ASCII
ValueCountFrequency (%)
181
43.6%
2 74
17.8%
5 54
 
13.0%
S 18
 
4.3%
4 17
 
4.1%
G 16
 
3.9%
( 14
 
3.4%
) 14
 
3.4%
R 4
 
1.0%
3 3
 
0.7%
Other values (14) 20
 
4.8%

소재지 도로명주소
Text

Distinct189
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T20:34:35.090223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length47.5
Mean length35.114583
Min length20

Characters and Unicode

Total characters6742
Distinct characters244
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)97.4%

Sample

1st row인천광역시 중구 용유서로 282, 1층 (을왕동)
2nd row인천광역시 중구 월미로218번길 9, 1층 (북성동1가)
3rd row인천광역시 중구 서해대로 278, 104호 (신흥동3가, 인천유림노르웨이숲에듀오션)
4th row인천광역시 중구 축항대로 282, 1층 (신흥동3가)
5th row인천광역시 중구 하늘달빛로 139, 777동 110호 (중산동, e편한세상 영종국제도시센텀베뉴)
ValueCountFrequency (%)
인천광역시 192
 
14.8%
중구 192
 
14.8%
1층 66
 
5.1%
운서동 55
 
4.3%
중산동 35
 
2.7%
운남동 18
 
1.4%
102호 12
 
0.9%
북성동1가 11
 
0.9%
을왕동 10
 
0.8%
흰바위로 10
 
0.8%
Other values (429) 692
53.5%
2024-01-28T20:34:35.424204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1101
 
16.3%
1 415
 
6.2%
중 246
 
3.6%
, 236
 
3.5%
동 222
 
3.3%
인 221
 
3.3%
시 215
 
3.2%
천 208
 
3.1%
광 195
 
2.9%
역 194
 
2.9%
Other values (234) 3489
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3687
54.7%
Decimal Number 1254
 
18.6%
Space Separator 1101
 
16.3%
Other Punctuation 237
 
3.5%
Open Punctuation 193
 
2.9%
Close Punctuation 193
 
2.9%
Dash Punctuation 34
 
0.5%
Uppercase Letter 30
 
0.4%
Lowercase Letter 8
 
0.1%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 246
 
6.7%
동 222
 
6.0%
인 221
 
6.0%
시 215
 
5.8%
천 208
 
5.6%
광 195
 
5.3%
역 194
 
5.3%
로 192
 
5.2%
구 192
 
5.2%
운 110
 
3.0%
Other values (199) 1692
45.9%
Uppercase Letter
ValueCountFrequency (%)
B 9
30.0%
K 4
13.3%
S 3
 
10.0%
C 3
 
10.0%
L 2
 
6.7%
H 2
 
6.7%
I 2
 
6.7%
E 1
 
3.3%
G 1
 
3.3%
P 1
 
3.3%
Other values (2) 2
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 415
33.1%
0 176
14.0%
2 169
13.5%
3 106
 
8.5%
4 94
 
7.5%
5 67
 
5.3%
6 64
 
5.1%
7 58
 
4.6%
8 53
 
4.2%
9 52
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
y 2
25.0%
e 2
25.0%
t 1
12.5%
i 1
12.5%
c 1
12.5%
k 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 236
99.6%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3687
54.7%
Common 3017
44.7%
Latin 38
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 246
 
6.7%
동 222
 
6.0%
인 221
 
6.0%
시 215
 
5.8%
천 208
 
5.6%
광 195
 
5.3%
역 194
 
5.3%
로 192
 
5.2%
구 192
 
5.2%
운 110
 
3.0%
Other values (199) 1692
45.9%
Latin
ValueCountFrequency (%)
B 9
23.7%
K 4
10.5%
S 3
 
7.9%
C 3
 
7.9%
y 2
 
5.3%
L 2
 
5.3%
H 2
 
5.3%
I 2
 
5.3%
e 2
 
5.3%
E 1
 
2.6%
Other values (8) 8
21.1%
Common
ValueCountFrequency (%)
1101
36.5%
1 415
 
13.8%
, 236
 
7.8%
( 193
 
6.4%
) 193
 
6.4%
0 176
 
5.8%
2 169
 
5.6%
3 106
 
3.5%
4 94
 
3.1%
5 67
 
2.2%
Other values (7) 267
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3687
54.7%
ASCII 3055
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1101
36.0%
1 415
 
13.6%
, 236
 
7.7%
( 193
 
6.3%
) 193
 
6.3%
0 176
 
5.8%
2 169
 
5.5%
3 106
 
3.5%
4 94
 
3.1%
5 67
 
2.2%
Other values (25) 305
 
10.0%
Hangul
ValueCountFrequency (%)
중 246
 
6.7%
동 222
 
6.0%
인 221
 
6.0%
시 215
 
5.8%
천 208
 
5.6%
광 195
 
5.3%
역 194
 
5.3%
로 192
 
5.2%
구 192
 
5.2%
운 110
 
3.0%
Other values (199) 1692
45.9%

소재지 지번주소
Text

MISSING 

Distinct136
Distinct (%)95.8%
Missing50
Missing (%)26.0%
Memory size1.6 KiB
2024-01-28T20:34:35.697304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length24.732394
Min length13

Characters and Unicode

Total characters3512
Distinct characters189
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)93.0%

Sample

1st row인천광역시 중구 을왕동 703-6
2nd row인천광역시 중구 북성동1가 98-427
3rd row인천광역시 중구 신흥동3가 31-13 인천유림노르웨이숲에듀오션
4th row인천광역시 중구 신흥동3가 47-1
5th row인천광역시 중구 중산동 1871-1 e편한세상 영종국제도시센텀베뉴
ValueCountFrequency (%)
인천광역시 142
19.8%
중구 142
19.8%
운서동 39
 
5.4%
영종동 22
 
3.1%
중산동 20
 
2.8%
운남동 12
 
1.7%
1호 11
 
1.5%
개항동 7
 
1.0%
7호 5
 
0.7%
신흥동3가 5
 
0.7%
Other values (248) 311
43.4%
2024-01-28T20:34:36.067356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
633
18.0%
1 167
 
4.8%
중 163
 
4.6%
시 155
 
4.4%
인 154
 
4.4%
천 153
 
4.4%
동 147
 
4.2%
광 144
 
4.1%
역 143
 
4.1%
구 142
 
4.0%
Other values (179) 1511
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2099
59.8%
Decimal Number 668
 
19.0%
Space Separator 633
 
18.0%
Dash Punctuation 75
 
2.1%
Uppercase Letter 22
 
0.6%
Lowercase Letter 13
 
0.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 163
 
7.8%
시 155
 
7.4%
인 154
 
7.3%
천 153
 
7.3%
동 147
 
7.0%
광 144
 
6.9%
역 143
 
6.8%
구 142
 
6.8%
지 59
 
2.8%
번 55
 
2.6%
Other values (151) 784
37.4%
Decimal Number
ValueCountFrequency (%)
1 167
25.0%
2 87
13.0%
8 75
11.2%
3 72
10.8%
7 61
 
9.1%
9 56
 
8.4%
0 50
 
7.5%
5 39
 
5.8%
4 32
 
4.8%
6 29
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
S 5
22.7%
K 4
18.2%
I 3
13.6%
C 3
13.6%
V 2
 
9.1%
E 2
 
9.1%
W 2
 
9.1%
B 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
y 4
30.8%
i 2
15.4%
c 2
15.4%
k 2
15.4%
t 2
15.4%
e 1
 
7.7%
Space Separator
ValueCountFrequency (%)
633
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2099
59.8%
Common 1378
39.2%
Latin 35
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 163
 
7.8%
시 155
 
7.4%
인 154
 
7.3%
천 153
 
7.3%
동 147
 
7.0%
광 144
 
6.9%
역 143
 
6.8%
구 142
 
6.8%
지 59
 
2.8%
번 55
 
2.6%
Other values (151) 784
37.4%
Common
ValueCountFrequency (%)
633
45.9%
1 167
 
12.1%
2 87
 
6.3%
8 75
 
5.4%
- 75
 
5.4%
3 72
 
5.2%
7 61
 
4.4%
9 56
 
4.1%
0 50
 
3.6%
5 39
 
2.8%
Other values (4) 63
 
4.6%
Latin
ValueCountFrequency (%)
S 5
14.3%
y 4
11.4%
K 4
11.4%
I 3
8.6%
C 3
8.6%
V 2
 
5.7%
i 2
 
5.7%
E 2
 
5.7%
W 2
 
5.7%
c 2
 
5.7%
Other values (4) 6
17.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2099
59.8%
ASCII 1413
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
633
44.8%
1 167
 
11.8%
2 87
 
6.2%
8 75
 
5.3%
- 75
 
5.3%
3 72
 
5.1%
7 61
 
4.3%
9 56
 
4.0%
0 50
 
3.5%
5 39
 
2.8%
Other values (18) 98
 
6.9%
Hangul
ValueCountFrequency (%)
중 163
 
7.8%
시 155
 
7.4%
인 154
 
7.3%
천 153
 
7.3%
동 147
 
7.0%
광 144
 
6.9%
역 143
 
6.8%
구 142
 
6.8%
지 59
 
2.8%
번 55
 
2.6%
Other values (151) 784
37.4%

우편번호
Real number (ℝ)

Distinct58
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22360.891
Minimum22300
Maximum22410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-28T20:34:36.185508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22300
5-th percentile22303
Q122329
median22372
Q322382.25
95-th percentile22402
Maximum22410
Range110
Interquartile range (IQR)53.25

Descriptive statistics

Standard deviation31.16152
Coefficient of variation (CV)0.0013935724
Kurtosis-1.0165862
Mean22360.891
Median Absolute Deviation (MAD)17
Skewness-0.51655941
Sum4293291
Variance971.04033
MonotonicityNot monotonic
2024-01-28T20:34:36.299872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22376 18
 
9.4%
22382 15
 
7.8%
22372 11
 
5.7%
22383 10
 
5.2%
22303 10
 
5.2%
22371 10
 
5.2%
22402 8
 
4.2%
22397 7
 
3.6%
22324 6
 
3.1%
22374 6
 
3.1%
Other values (48) 91
47.4%
ValueCountFrequency (%)
22300 1
 
0.5%
22303 10
5.2%
22308 4
 
2.1%
22309 1
 
0.5%
22311 2
 
1.0%
22313 1
 
0.5%
22314 3
 
1.6%
22316 5
2.6%
22317 1
 
0.5%
22318 1
 
0.5%
ValueCountFrequency (%)
22410 2
 
1.0%
22406 2
 
1.0%
22405 2
 
1.0%
22403 1
 
0.5%
22402 8
4.2%
22400 1
 
0.5%
22398 1
 
0.5%
22397 7
3.6%
22396 1
 
0.5%
22395 1
 
0.5%

전화번호
Text

MISSING 

Distinct42
Distinct (%)97.7%
Missing149
Missing (%)77.6%
Memory size1.6 KiB
2024-01-28T20:34:36.480510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.906977
Min length9

Characters and Unicode

Total characters512
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

Unique41 ?
Unique (%)95.3%

Sample

1st row1577-3663
2nd row032-888-2066
3rd row1577-3663
4th row070-7537-2754
5th row032-746-3354
ValueCountFrequency (%)
1577-3663 2
 
4.7%
032-766-5141 1
 
2.3%
032-882-8825 1
 
2.3%
032-766-6665 1
 
2.3%
032-886-8523 1
 
2.3%
032-752-5805 1
 
2.3%
032-777-2322 1
 
2.3%
032-766-8544 1
 
2.3%
032-766-8566 1
 
2.3%
032-763-9111 1
 
2.3%
Other values (32) 32
74.4%
2024-01-28T20:34:36.767485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 84
16.4%
0 64
12.5%
7 58
11.3%
2 58
11.3%
3 57
11.1%
6 52
10.2%
8 35
6.8%
4 31
 
6.1%
1 28
 
5.5%
5 27
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 428
83.6%
Dash Punctuation 84
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
15.0%
7 58
13.6%
2 58
13.6%
3 57
13.3%
6 52
12.1%
8 35
8.2%
4 31
7.2%
1 28
6.5%
5 27
6.3%
9 18
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 512
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 84
16.4%
0 64
12.5%
7 58
11.3%
2 58
11.3%
3 57
11.1%
6 52
10.2%
8 35
6.8%
4 31
 
6.1%
1 28
 
5.5%
5 27
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 84
16.4%
0 64
12.5%
7 58
11.3%
2 58
11.3%
3 57
11.1%
6 52
10.2%
8 35
6.8%
4 31
 
6.1%
1 28
 
5.5%
5 27
 
5.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2023-09-14 00:00:00
Maximum2023-09-14 00:00:00
2024-01-28T20:34:36.860866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:34:36.929986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T20:34:33.772213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:34:33.618568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:34:33.842076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:34:33.694252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:34:36.979766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호전화번호
연번1.0000.3731.000
우편번호0.3731.0000.977
전화번호1.0000.9771.000
2024-01-28T20:34:37.042717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호
연번1.000-0.199
우편번호-0.1991.000

Missing values

2024-01-28T20:34:33.925753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:34:34.010373image/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.
2024-01-28T20:34:34.081125image/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

연번판매점포명소재지 도로명주소소재지 지번주소우편번호전화번호데이터기준일자
01CU 을왕로드점인천광역시 중구 용유서로 282, 1층 (을왕동)인천광역시 중구 을왕동 703-6223831577-36632023-09-14
12이마트24 월미트윈점인천광역시 중구 월미로218번길 9, 1층 (북성동1가)인천광역시 중구 북성동1가 98-42722303<NA>2023-09-14
23씨유 인천노르웨이숲점인천광역시 중구 서해대로 278, 104호 (신흥동3가, 인천유림노르웨이숲에듀오션)인천광역시 중구 신흥동3가 31-13 인천유림노르웨이숲에듀오션22334<NA>2023-09-14
34(주)랜스타오일 GS25오일캠프점인천광역시 중구 축항대로 282, 1층 (신흥동3가)인천광역시 중구 신흥동3가 47-122339032-888-20662023-09-14
45씨유 영종센텀베뉴점인천광역시 중구 하늘달빛로 139, 777동 110호 (중산동, e편한세상 영종국제도시센텀베뉴)인천광역시 중구 중산동 1871-1 e편한세상 영종국제도시센텀베뉴22406<NA>2023-09-14
56씨유 자유공원점인천광역시 중구 홍예문로 62, 1,2층 (전동)인천광역시 중구 전동 21223161577-36632023-09-14
67씨유 블루오션3차점인천광역시 중구 자연대로 8, 블루오션 레지던스호텔 3 104, 105호 (중산동)인천광역시 중구 중산동 1886-11 블루오션 레지던스호텔 322397<NA>2023-09-14
78씨유 신포문화의거리점인천광역시 중구 개항로 31, 1,2층 (내동)인천광역시 중구 내동 101-122316<NA>2023-09-14
89세븐일레븐 신흥트윈점인천광역시 중구 인중로144번길 54-2, 성진코스메틱 1층 (신흥동1가)인천광역시 중구 신흥동1가 40-1 성진코스메틱22324<NA>2023-09-14
910지에스25 영종LH점인천광역시 중구 영종대로278번길 50, 1층 101호 (운서동, 영종1단지엘에이치)인천광역시 중구 운서동 3103-9 영종1단지엘에이치22376<NA>2023-09-14
연번판매점포명소재지 도로명주소소재지 지번주소우편번호전화번호데이터기준일자
182183씨유호텔휴인천공항점인천광역시 중구 공항로424번길 47, 인천국제공항정부합동청사 106호 (운서동)<NA>22382<NA>2023-09-14
183184씨유 연안부두점인천광역시 중구 연안부두로 43 (항동7가)<NA>22348032-887-40492023-09-14
184185세븐일레븐 신포로데오점인천광역시 중구 신포로 25(중앙동4가)<NA>22314032-655-07942023-09-14
185186GS25 중구항동점인천광역시 중구 연안부두로43번길 18 (항동7가)<NA>22348032-888-19902023-09-14
186187세븐일레븐 동인천점인천광역시 중구 우현로90번길 19-13 (인현동)<NA>22318032-765-70902023-09-14
187188씨유 연안비취점인천광역시 중구 연안부두로33번길 36 (항동7가)<NA>22351032-882-88252023-09-14
188189이마트24 R영종운남점인천광역시 중구 운중로 22 (운남동)<NA>22359032-747-15672023-09-14
189190GS 25 항동라이프점인천광역시 중구 연안부두로53번길 35 (항동7가)<NA>22348032-886-85232023-09-14
190191GS 25 인천송월점인천광역시 중구 참외전로59번길 7 (송월동1가)<NA>22308032-766-66652023-09-14
191192세븐일레븐 영종중산점인천광역시 중구 운중로 175, 유피빌딩 104, 105호 (중산동)<NA>22358032-747-14572023-09-14