Overview

Dataset statistics

Number of variables5
Number of observations316
Missing cells256
Missing cells (%)16.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory41.4 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description인천광역시 중구 관내에 위치한 의료기기 판매업소 현황에 대한 데이터 입니다.파일명 인천광역시_중구_의료기기 판매업소 현황파일내용 영업소명, 소재지 주소 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3077979&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
영업소전화번호 has 256 (81.0%) missing valuesMissing
순번 has unique valuesUnique
영업소명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:38:59.181580
Analysis finished2024-01-28 09:38:59.685232
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct316
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.5
Minimum1
Maximum316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-28T18:38:59.740020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.75
Q179.75
median158.5
Q3237.25
95-th percentile300.25
Maximum316
Range315
Interquartile range (IQR)157.5

Descriptive statistics

Standard deviation91.365566
Coefficient of variation (CV)0.5764389
Kurtosis-1.2
Mean158.5
Median Absolute Deviation (MAD)79
Skewness0
Sum50086
Variance8347.6667
MonotonicityStrictly increasing
2024-01-28T18:38:59.855979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
210 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
212 1
 
0.3%
211 1
 
0.3%
209 1
 
0.3%
Other values (306) 306
96.8%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%
311 1
0.3%
310 1
0.3%
309 1
0.3%
308 1
0.3%
307 1
0.3%

영업소명
Text

UNIQUE 

Distinct316
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-28T18:39:00.073923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length10
Min length2

Characters and Unicode

Total characters3160
Distinct characters359
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique316 ?
Unique (%)100.0%

Sample

1st row제피르팰컨
2nd row은혜주간보호센터
3rd row인천맞이방종합편의점
4th row동인천지하맞이종합편의점
5th row씨유 영종스카이시티점
ValueCountFrequency (%)
세븐일레븐 30
 
5.9%
씨유(cu 24
 
4.7%
gs25 19
 
3.7%
지에스(gs)25 15
 
2.9%
지에스25 12
 
2.4%
이마트24 12
 
2.4%
주식회사 12
 
2.4%
씨유 11
 
2.2%
cu 5
 
1.0%
인천공항 3
 
0.6%
Other values (351) 367
72.0%
2024-01-28T18:39:00.396024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
 
6.2%
점 183
 
5.8%
스 89
 
2.8%
영 85
 
2.7%
이 81
 
2.6%
종 79
 
2.5%
( 76
 
2.4%
) 76
 
2.4%
2 73
 
2.3%
븐 64
 
2.0%
Other values (349) 2159
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2458
77.8%
Space Separator 195
 
6.2%
Uppercase Letter 182
 
5.8%
Decimal Number 152
 
4.8%
Open Punctuation 76
 
2.4%
Close Punctuation 76
 
2.4%
Lowercase Letter 15
 
0.5%
Other Punctuation 3
 
0.1%
Other Symbol 2
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 183
 
7.4%
스 89
 
3.6%
영 85
 
3.5%
이 81
 
3.3%
종 79
 
3.2%
븐 64
 
2.6%
인 59
 
2.4%
씨 54
 
2.2%
유 53
 
2.2%
에 52
 
2.1%
Other values (307) 1659
67.5%
Uppercase Letter
ValueCountFrequency (%)
S 42
23.1%
G 39
21.4%
U 36
19.8%
C 35
19.2%
K 5
 
2.7%
E 4
 
2.2%
P 4
 
2.2%
M 2
 
1.1%
Q 2
 
1.1%
H 2
 
1.1%
Other values (9) 11
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
13.3%
m 2
13.3%
h 2
13.3%
e 2
13.3%
l 2
13.3%
a 2
13.3%
n 1
6.7%
k 1
6.7%
s 1
6.7%
Decimal Number
ValueCountFrequency (%)
2 73
48.0%
5 51
33.6%
4 16
 
10.5%
1 6
 
3.9%
3 3
 
2.0%
7 2
 
1.3%
8 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
195
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2460
77.8%
Common 502
 
15.9%
Latin 198
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 183
 
7.4%
스 89
 
3.6%
영 85
 
3.5%
이 81
 
3.3%
종 79
 
3.2%
븐 64
 
2.6%
인 59
 
2.4%
씨 54
 
2.2%
유 53
 
2.2%
에 52
 
2.1%
Other values (308) 1661
67.5%
Latin
ValueCountFrequency (%)
S 42
21.2%
G 39
19.7%
U 36
18.2%
C 35
17.7%
K 5
 
2.5%
E 4
 
2.0%
P 4
 
2.0%
o 2
 
1.0%
m 2
 
1.0%
h 2
 
1.0%
Other values (19) 27
13.6%
Common
ValueCountFrequency (%)
195
38.8%
( 76
 
15.1%
) 76
 
15.1%
2 73
 
14.5%
5 51
 
10.2%
4 16
 
3.2%
1 6
 
1.2%
3 3
 
0.6%
. 2
 
0.4%
7 2
 
0.4%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2458
77.8%
ASCII 699
 
22.1%
None 2
 
0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
27.9%
( 76
 
10.9%
) 76
 
10.9%
2 73
 
10.4%
5 51
 
7.3%
S 42
 
6.0%
G 39
 
5.6%
U 36
 
5.2%
C 35
 
5.0%
4 16
 
2.3%
Other values (30) 60
 
8.6%
Hangul
ValueCountFrequency (%)
점 183
 
7.4%
스 89
 
3.6%
영 85
 
3.5%
이 81
 
3.3%
종 79
 
3.2%
븐 64
 
2.6%
인 59
 
2.4%
씨 54
 
2.2%
유 53
 
2.2%
에 52
 
2.1%
Other values (307) 1659
67.5%
None
ValueCountFrequency (%)
㈜ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

영업소소재지(도로명)
Text

Distinct309
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-28T18:39:00.630603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length45.5
Mean length34.189873
Min length20

Characters and Unicode

Total characters10804
Distinct characters312
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

Unique306 ?
Unique (%)96.8%

Sample

1st row인천광역시 중구 공항로424번길 60, 대우스카이월드 727호 (운서동)
2nd row인천광역시 중구 우현로83번길 6, 5층 (인현동)
3rd row인천광역시 중구 제물량로 269, 인천역 1호선 (북성동1가)
4th row인천광역시 중구 참외전로 121, 동인천역(사) (인현동)
5th row인천광역시 중구 하늘별빛로 111, 상가동 지하1층 105호 (중산동, 스카이시티자이)
ValueCountFrequency (%)
인천광역시 316
 
15.5%
중구 315
 
15.4%
운서동 85
 
4.2%
1층 60
 
2.9%
중산동 58
 
2.8%
운남동 24
 
1.2%
흰바위로 17
 
0.8%
영종대로 16
 
0.8%
항동7가 13
 
0.6%
101호 12
 
0.6%
Other values (632) 1128
55.2%
2024-01-28T18:39:01.026300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1730
 
16.0%
1 510
 
4.7%
중 411
 
3.8%
인 381
 
3.5%
동 371
 
3.4%
시 352
 
3.3%
천 348
 
3.2%
, 341
 
3.2%
역 324
 
3.0%
광 320
 
3.0%
Other values (302) 5716
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6184
57.2%
Decimal Number 1785
 
16.5%
Space Separator 1730
 
16.0%
Other Punctuation 342
 
3.2%
Close Punctuation 318
 
2.9%
Open Punctuation 318
 
2.9%
Dash Punctuation 67
 
0.6%
Uppercase Letter 34
 
0.3%
Lowercase Letter 24
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 411
 
6.6%
인 381
 
6.2%
동 371
 
6.0%
시 352
 
5.7%
천 348
 
5.6%
역 324
 
5.2%
광 320
 
5.2%
로 316
 
5.1%
구 316
 
5.1%
운 176
 
2.8%
Other values (261) 2869
46.4%
Uppercase Letter
ValueCountFrequency (%)
I 7
20.6%
B 6
17.6%
C 4
11.8%
K 4
11.8%
S 4
11.8%
L 2
 
5.9%
A 2
 
5.9%
G 1
 
2.9%
W 1
 
2.9%
E 1
 
2.9%
Other values (2) 2
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
25.0%
b 3
12.5%
t 2
 
8.3%
n 2
 
8.3%
c 2
 
8.3%
i 2
 
8.3%
y 2
 
8.3%
a 1
 
4.2%
s 1
 
4.2%
h 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 510
28.6%
2 257
14.4%
0 196
 
11.0%
3 184
 
10.3%
4 141
 
7.9%
6 125
 
7.0%
7 115
 
6.4%
5 96
 
5.4%
9 89
 
5.0%
8 72
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 341
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1730
100.0%
Close Punctuation
ValueCountFrequency (%)
) 318
100.0%
Open Punctuation
ValueCountFrequency (%)
( 318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6184
57.2%
Common 4562
42.2%
Latin 58
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 411
 
6.6%
인 381
 
6.2%
동 371
 
6.0%
시 352
 
5.7%
천 348
 
5.6%
역 324
 
5.2%
광 320
 
5.2%
로 316
 
5.1%
구 316
 
5.1%
운 176
 
2.8%
Other values (261) 2869
46.4%
Latin
ValueCountFrequency (%)
I 7
 
12.1%
e 6
 
10.3%
B 6
 
10.3%
C 4
 
6.9%
K 4
 
6.9%
S 4
 
6.9%
b 3
 
5.2%
t 2
 
3.4%
n 2
 
3.4%
L 2
 
3.4%
Other values (14) 18
31.0%
Common
ValueCountFrequency (%)
1730
37.9%
1 510
 
11.2%
, 341
 
7.5%
) 318
 
7.0%
( 318
 
7.0%
2 257
 
5.6%
0 196
 
4.3%
3 184
 
4.0%
4 141
 
3.1%
6 125
 
2.7%
Other values (7) 442
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6184
57.2%
ASCII 4620
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1730
37.4%
1 510
 
11.0%
, 341
 
7.4%
) 318
 
6.9%
( 318
 
6.9%
2 257
 
5.6%
0 196
 
4.2%
3 184
 
4.0%
4 141
 
3.1%
6 125
 
2.7%
Other values (31) 500
 
10.8%
Hangul
ValueCountFrequency (%)
중 411
 
6.6%
인 381
 
6.2%
동 371
 
6.0%
시 352
 
5.7%
천 348
 
5.6%
역 324
 
5.2%
광 320
 
5.2%
로 316
 
5.1%
구 316
 
5.1%
운 176
 
2.8%
Other values (261) 2869
46.4%

영업소전화번호
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing256
Missing (%)81.0%
Memory size2.6 KiB
2024-01-28T18:39:01.252015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.133333
Min length12

Characters and Unicode

Total characters728
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row032-428-0529
2nd row070-8833-1888
3rd row032-772-1955
4th row070-7954-1945
5th row032-743-5290
ValueCountFrequency (%)
032-428-0529 1
 
1.7%
070-8833-1888 1
 
1.7%
032-885-3111 1
 
1.7%
070-8850-2349 1
 
1.7%
032-713-7940 1
 
1.7%
032-765-2288 1
 
1.7%
032-747-3535 1
 
1.7%
032-762-9933~4 1
 
1.7%
032-361-8011 1
 
1.7%
032-763-9911 1
 
1.7%
Other values (50) 50
83.3%
2024-01-28T18:39:01.582020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 118
16.2%
0 98
13.5%
3 97
13.3%
2 89
12.2%
7 76
10.4%
8 54
7.4%
1 51
7.0%
4 39
 
5.4%
5 38
 
5.2%
6 36
 
4.9%
Other values (3) 32
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 607
83.4%
Dash Punctuation 118
 
16.2%
Other Punctuation 2
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 98
16.1%
3 97
16.0%
2 89
14.7%
7 76
12.5%
8 54
8.9%
1 51
8.4%
4 39
 
6.4%
5 38
 
6.3%
6 36
 
5.9%
9 29
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 728
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 118
16.2%
0 98
13.5%
3 97
13.3%
2 89
12.2%
7 76
10.4%
8 54
7.4%
1 51
7.0%
4 39
 
5.4%
5 38
 
5.2%
6 36
 
4.9%
Other values (3) 32
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 118
16.2%
0 98
13.5%
3 97
13.3%
2 89
12.2%
7 76
10.4%
8 54
7.4%
1 51
7.0%
4 39
 
5.4%
5 38
 
5.2%
6 36
 
4.9%
Other values (3) 32
 
4.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-09-11
316 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-11
2nd row2023-09-11
3rd row2023-09-11
4th row2023-09-11
5th row2023-09-11

Common Values

ValueCountFrequency (%)
2023-09-11 316
100.0%

Length

2024-01-28T18:39:01.696863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:39:01.772128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-11 316
100.0%

Interactions

2024-01-28T18:38:59.494163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:39:01.815002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번영업소전화번호
순번1.0001.000
영업소전화번호1.0001.000

Missing values

2024-01-28T18:38:59.581338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:38:59.654348image/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

순번영업소명영업소소재지(도로명)영업소전화번호데이터기준일자
01제피르팰컨인천광역시 중구 공항로424번길 60, 대우스카이월드 727호 (운서동)<NA>2023-09-11
12은혜주간보호센터인천광역시 중구 우현로83번길 6, 5층 (인현동)<NA>2023-09-11
23인천맞이방종합편의점인천광역시 중구 제물량로 269, 인천역 1호선 (북성동1가)<NA>2023-09-11
34동인천지하맞이종합편의점인천광역시 중구 참외전로 121, 동인천역(사) (인현동)<NA>2023-09-11
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