Overview

Dataset statistics

Number of variables6
Number of observations67
Missing cells5
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory51.0 B

Variable types

Numeric1
Categorical1
Text3
DateTime1

Dataset

Description인천광역시 중구 금융기관의 주소,시설명,전화번호등에 대한 정보입니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15074645

Alerts

분류 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 5 (7.5%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:00:44.611481
Analysis finished2024-01-28 06:00:45.189976
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-01-28T15:00:45.249665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2024-01-28T15:00:45.378497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
금융기관
67 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금융기관 67
100.0%

Length

2024-01-28T15:00:45.513661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:00:45.594210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금융기관 67
100.0%

시설명
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-01-28T15:00:45.759037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length12.61194
Min length6

Characters and Unicode

Total characters845
Distinct characters113
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

Unique67 ?
Unique (%)100.0%

Sample

1st rowKB국민은행 인천공항신도시시점
2nd row하나은행 인천금융센터
3rd row답동 신협본점
4th rowKB국민은행 영종하늘도시
5th row신한은행 인천국제공항점
ValueCountFrequency (%)
우리은행 8
 
6.0%
신한은행 7
 
5.2%
중구농협 6
 
4.5%
하나은행 6
 
4.5%
본점 6
 
4.5%
kb국민은행 5
 
3.7%
출장소 4
 
3.0%
인천옹진농협 4
 
3.0%
동인천지점 3
 
2.2%
인천공항신도시출장소 3
 
2.2%
Other values (72) 82
61.2%
2024-01-28T15:00:46.087845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
7.9%
인 42
 
5.0%
점 40
 
4.7%
천 38
 
4.5%
은 34
 
4.0%
행 34
 
4.0%
협 29
 
3.4%
신 28
 
3.3%
지 27
 
3.2%
항 21
 
2.5%
Other values (103) 485
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 744
88.0%
Space Separator 67
 
7.9%
Uppercase Letter 19
 
2.2%
Decimal Number 10
 
1.2%
Lowercase Letter 3
 
0.4%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 42
 
5.6%
점 40
 
5.4%
천 38
 
5.1%
은 34
 
4.6%
행 34
 
4.6%
협 29
 
3.9%
신 28
 
3.8%
지 27
 
3.6%
항 21
 
2.8%
공 20
 
2.7%
Other values (87) 431
57.9%
Uppercase Letter
ValueCountFrequency (%)
B 7
36.8%
K 7
36.8%
I 2
 
10.5%
S 1
 
5.3%
N 1
 
5.3%
H 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
1 3
30.0%
3 1
 
10.0%
6 1
 
10.0%
5 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
h 2
66.7%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 744
88.0%
Common 79
 
9.3%
Latin 22
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 42
 
5.6%
점 40
 
5.4%
천 38
 
5.1%
은 34
 
4.6%
행 34
 
4.6%
협 29
 
3.9%
신 28
 
3.8%
지 27
 
3.6%
항 21
 
2.8%
공 20
 
2.7%
Other values (87) 431
57.9%
Common
ValueCountFrequency (%)
67
84.8%
2 4
 
5.1%
1 3
 
3.8%
) 1
 
1.3%
( 1
 
1.3%
3 1
 
1.3%
6 1
 
1.3%
5 1
 
1.3%
Latin
ValueCountFrequency (%)
B 7
31.8%
K 7
31.8%
h 2
 
9.1%
I 2
 
9.1%
S 1
 
4.5%
s 1
 
4.5%
N 1
 
4.5%
H 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 744
88.0%
ASCII 101
 
12.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
66.3%
B 7
 
6.9%
K 7
 
6.9%
2 4
 
4.0%
1 3
 
3.0%
h 2
 
2.0%
I 2
 
2.0%
) 1
 
1.0%
( 1
 
1.0%
S 1
 
1.0%
Other values (6) 6
 
5.9%
Hangul
ValueCountFrequency (%)
인 42
 
5.6%
점 40
 
5.4%
천 38
 
5.1%
은 34
 
4.6%
행 34
 
4.6%
협 29
 
3.9%
신 28
 
3.8%
지 27
 
3.6%
항 21
 
2.8%
공 20
 
2.7%
Other values (87) 431
57.9%

주소
Text

Distinct63
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-01-28T15:00:46.297767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length26
Mean length20.761194
Min length15

Characters and Unicode

Total characters1391
Distinct characters114
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

Unique59 ?
Unique (%)88.1%

Sample

1st row인천광역시 중구 신도시남로142번길 6
2nd row인천광역시 중구 제물량로 154
3rd row인천광역시 중구 제물량로 122
4th row인천광역시 중구 하늘별빛로 75
5th row인천광역시 중구 공항로 271 인천국제공항 B1
ValueCountFrequency (%)
인천광역시 67
22.7%
중구 67
22.7%
서해대로 6
 
2.0%
공항로 5
 
1.7%
인항로 4
 
1.4%
제물량로 4
 
1.4%
27 4
 
1.4%
6 3
 
1.0%
272 3
 
1.0%
신도시남로142번길 3
 
1.0%
Other values (105) 129
43.7%
2024-01-28T15:00:46.633011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
228
16.4%
인 80
 
5.8%
시 74
 
5.3%
천 72
 
5.2%
중 71
 
5.1%
역 69
 
5.0%
구 68
 
4.9%
광 67
 
4.8%
로 66
 
4.7%
1 51
 
3.7%
Other values (104) 545
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 915
65.8%
Decimal Number 237
 
17.0%
Space Separator 228
 
16.4%
Dash Punctuation 9
 
0.6%
Uppercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 80
 
8.7%
시 74
 
8.1%
천 72
 
7.9%
중 71
 
7.8%
역 69
 
7.5%
구 68
 
7.4%
광 67
 
7.3%
로 66
 
7.2%
길 25
 
2.7%
번 25
 
2.7%
Other values (90) 298
32.6%
Decimal Number
ValueCountFrequency (%)
1 51
21.5%
2 38
16.0%
4 36
15.2%
6 22
9.3%
7 22
9.3%
3 21
8.9%
5 16
 
6.8%
8 15
 
6.3%
9 10
 
4.2%
0 6
 
2.5%
Space Separator
ValueCountFrequency (%)
228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 915
65.8%
Common 475
34.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 80
 
8.7%
시 74
 
8.1%
천 72
 
7.9%
중 71
 
7.8%
역 69
 
7.5%
구 68
 
7.4%
광 67
 
7.3%
로 66
 
7.2%
길 25
 
2.7%
번 25
 
2.7%
Other values (90) 298
32.6%
Common
ValueCountFrequency (%)
228
48.0%
1 51
 
10.7%
2 38
 
8.0%
4 36
 
7.6%
6 22
 
4.6%
7 22
 
4.6%
3 21
 
4.4%
5 16
 
3.4%
8 15
 
3.2%
9 10
 
2.1%
Other values (3) 16
 
3.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 915
65.8%
ASCII 476
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
228
47.9%
1 51
 
10.7%
2 38
 
8.0%
4 36
 
7.6%
6 22
 
4.6%
7 22
 
4.6%
3 21
 
4.4%
5 16
 
3.4%
8 15
 
3.2%
9 10
 
2.1%
Other values (4) 17
 
3.6%
Hangul
ValueCountFrequency (%)
인 80
 
8.7%
시 74
 
8.1%
천 72
 
7.9%
중 71
 
7.8%
역 69
 
7.5%
구 68
 
7.4%
광 67
 
7.3%
로 66
 
7.2%
길 25
 
2.7%
번 25
 
2.7%
Other values (90) 298
32.6%

전화번호
Text

MISSING 

Distinct61
Distinct (%)98.4%
Missing5
Missing (%)7.5%
Memory size668.0 B
2024-01-28T15:00:46.837639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.951613
Min length9

Characters and Unicode

Total characters741
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

Unique60 ?
Unique (%)96.8%

Sample

1st row032-746-2416
2nd row032-763-7001
3rd row032-763-4545
4th row1599-9999
5th row032-743-5100
ValueCountFrequency (%)
032-743-1050 2
 
3.2%
032-746-2417 1
 
1.6%
032-746-2416 1
 
1.6%
032-761-6054 1
 
1.6%
032-761-2381 1
 
1.6%
032-226-5100 1
 
1.6%
032-763-1230 1
 
1.6%
032-743-6090 1
 
1.6%
032-875-1111 1
 
1.6%
032-763-5111 1
 
1.6%
Other values (51) 51
82.3%
2024-01-28T15:00:47.149336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 123
16.6%
0 113
15.2%
3 99
13.4%
2 82
11.1%
1 64
8.6%
7 63
8.5%
8 50
6.7%
6 49
 
6.6%
4 40
 
5.4%
5 34
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 618
83.4%
Dash Punctuation 123
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 113
18.3%
3 99
16.0%
2 82
13.3%
1 64
10.4%
7 63
10.2%
8 50
8.1%
6 49
7.9%
4 40
 
6.5%
5 34
 
5.5%
9 24
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 741
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 123
16.6%
0 113
15.2%
3 99
13.4%
2 82
11.1%
1 64
8.6%
7 63
8.5%
8 50
6.7%
6 49
 
6.6%
4 40
 
5.4%
5 34
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 741
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 123
16.6%
0 113
15.2%
3 99
13.4%
2 82
11.1%
1 64
8.6%
7 63
8.5%
8 50
6.7%
6 49
 
6.6%
4 40
 
5.4%
5 34
 
4.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2021-12-08 00:00:00
Maximum2021-12-08 00:00:00
2024-01-28T15:00:47.253793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:00:47.328241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T15:00:44.956287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:00:47.387843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명주소전화번호
연번1.0001.0000.8980.942
시설명1.0001.0001.0001.000
주소0.8981.0001.0000.996
전화번호0.9421.0000.9961.000

Missing values

2024-01-28T15:00:45.067689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:00:45.156410image/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

연번분류시설명주소전화번호데이터기준일자
01금융기관KB국민은행 인천공항신도시시점인천광역시 중구 신도시남로142번길 6032-746-24162021-12-08
12금융기관하나은행 인천금융센터인천광역시 중구 제물량로 154032-763-70012021-12-08
23금융기관답동 신협본점인천광역시 중구 제물량로 122032-763-45452021-12-08
34금융기관KB국민은행 영종하늘도시인천광역시 중구 하늘별빛로 751599-99992021-12-08
45금융기관신한은행 인천국제공항점인천광역시 중구 공항로 271 인천국제공항 B1032-743-51002021-12-08
56금융기관IBK기업은행 인천지점인천광역시 중구 개항로 35032-764-50832021-12-08
67금융기관중구농협 본점인천광역시 중구 운남로 166032-746-09892021-12-08
78금융기관우리은행 인천국제공항운서동출장소인천광역시 중구 흰바위로 51032-746-55112021-12-08
89금융기관신한은행 인천공항신도시출장소인천광역시 중구 영종대로 124<NA>2021-12-08
910금융기관우리은행 인천지점인천광역시 중구 우현로 76 우리은행032-764-98412021-12-08
연번분류시설명주소전화번호데이터기준일자
5758금융기관중구농협 하인천지점인천광역시 중구 차이나타운로44번길 31-13032-763-46022021-12-08
5859금융기관신포중앙새마을금고 중앙지점인천광역시 중구 신포로27번길 53032-764-67672021-12-08
5960금융기관sh수협은행 인천항만공사출장소인천광역시 중구 서해대로 366 정석빌딩032-888-85732021-12-08
6061금융기관우리은행 인천공항제2여객터미널출장소인천광역시 중구 제2터미널대로 444 제2합동청사032-743-10502021-12-08
6162금융기관하나은행 인천국제공항지점(1여객터미널)인천광역시 중구 공항로 272 제 1여객터미널 지하1층032-743-22202021-12-08
6263금융기관대한제당신용협동조합인천광역시 중구 월미로 116032-770-14132021-12-08
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