Overview

Dataset statistics

Number of variables6
Number of observations6454
Missing cells3952
Missing cells (%)10.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory309.0 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 미추홀구의 식품접객업소 현황에 관한 정보로 식품접객업소의 업종명, 업소명, 소재지, 전화번호의 데이터를 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15099964/fileData.do

Alerts

연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
업종명 is highly imbalanced (50.9%)Imbalance
소재지전화 has 3898 (60.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:52:18.870393
Analysis finished2024-03-23 05:52:21.415217
Duration2.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct6454
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3227.5
Minimum1
Maximum6454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size56.9 KiB
2024-03-23T14:52:21.543435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile323.65
Q11614.25
median3227.5
Q34840.75
95-th percentile6131.35
Maximum6454
Range6453
Interquartile range (IQR)3226.5

Descriptive statistics

Standard deviation1863.2537
Coefficient of variation (CV)0.57730555
Kurtosis-1.2
Mean3227.5
Median Absolute Deviation (MAD)1613.5
Skewness0
Sum20830285
Variance3471714.2
MonotonicityStrictly increasing
2024-03-23T14:52:21.718518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4301 1
 
< 0.1%
4311 1
 
< 0.1%
4310 1
 
< 0.1%
4309 1
 
< 0.1%
4308 1
 
< 0.1%
4307 1
 
< 0.1%
4306 1
 
< 0.1%
4305 1
 
< 0.1%
4304 1
 
< 0.1%
Other values (6444) 6444
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6454 1
< 0.1%
6453 1
< 0.1%
6452 1
< 0.1%
6451 1
< 0.1%
6450 1
< 0.1%
6449 1
< 0.1%
6448 1
< 0.1%
6447 1
< 0.1%
6446 1
< 0.1%
6445 1
< 0.1%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.6 KiB
일반음식점
4550 
휴게음식점
1389 
유흥주점영업
 
241
단란주점
 
112
제과점영업
 
104

Length

Max length6
Median length5
Mean length5.0289743
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 4550
70.5%
휴게음식점 1389
 
21.5%
유흥주점영업 241
 
3.7%
단란주점 112
 
1.7%
제과점영업 104
 
1.6%
위탁급식영업 58
 
0.9%

Length

2024-03-23T14:52:21.910631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:52:22.106407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 4550
70.5%
휴게음식점 1389
 
21.5%
유흥주점영업 241
 
3.7%
단란주점 112
 
1.7%
제과점영업 104
 
1.6%
위탁급식영업 58
 
0.9%

업소명
Text

Distinct6114
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size50.6 KiB
2024-03-23T14:52:22.402027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length7.0175085
Min length1

Characters and Unicode

Total characters45291
Distinct characters999
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5875 ?
Unique (%)91.0%

Sample

1st row논골고기촌
2nd row봉이빈대떡
3rd row참설렁탕
4th row영화반점
5th row동락반점
ValueCountFrequency (%)
주안점 132
 
1.4%
씨유 90
 
1.0%
인하대점 79
 
0.9%
용현점 66
 
0.7%
세븐일레븐 66
 
0.7%
카페 65
 
0.7%
지에스25 45
 
0.5%
도화점 43
 
0.5%
인하대역점 37
 
0.4%
인천도화점 37
 
0.4%
Other values (6595) 8614
92.9%
2024-03-23T14:52:23.063433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2829
 
6.2%
점 1723
 
3.8%
이 940
 
2.1%
인 796
 
1.8%
주 721
 
1.6%
스 709
 
1.6%
리 561
 
1.2%
천 555
 
1.2%
안 508
 
1.1%
대 479
 
1.1%
Other values (989) 35470
78.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38696
85.4%
Space Separator 2829
 
6.2%
Uppercase Letter 956
 
2.1%
Decimal Number 864
 
1.9%
Lowercase Letter 842
 
1.9%
Close Punctuation 473
 
1.0%
Open Punctuation 473
 
1.0%
Other Punctuation 153
 
0.3%
Dash Punctuation 3
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1723
 
4.5%
이 940
 
2.4%
인 796
 
2.1%
주 721
 
1.9%
스 709
 
1.8%
리 561
 
1.4%
천 555
 
1.4%
안 508
 
1.3%
대 479
 
1.2%
식 423
 
1.1%
Other values (907) 31281
80.8%
Lowercase Letter
ValueCountFrequency (%)
e 125
14.8%
a 92
 
10.9%
o 74
 
8.8%
c 54
 
6.4%
i 52
 
6.2%
n 51
 
6.1%
f 42
 
5.0%
r 40
 
4.8%
s 39
 
4.6%
l 36
 
4.3%
Other values (17) 237
28.1%
Uppercase Letter
ValueCountFrequency (%)
C 111
 
11.6%
S 99
 
10.4%
B 69
 
7.2%
G 67
 
7.0%
O 59
 
6.2%
P 56
 
5.9%
A 55
 
5.8%
E 49
 
5.1%
T 47
 
4.9%
F 38
 
4.0%
Other values (16) 306
32.0%
Other Punctuation
ValueCountFrequency (%)
& 55
35.9%
, 29
19.0%
. 25
16.3%
＆ 22
 
14.4%
' 10
 
6.5%
! 5
 
3.3%
· 3
 
2.0%
: 1
 
0.7%
/ 1
 
0.7%
? 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 201
23.3%
0 131
15.2%
5 116
13.4%
1 112
13.0%
8 76
 
8.8%
9 62
 
7.2%
7 55
 
6.4%
4 48
 
5.6%
3 41
 
4.7%
6 22
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 472
99.8%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 472
99.8%
[ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2829
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38679
85.4%
Common 4796
 
10.6%
Latin 1798
 
4.0%
Han 17
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1723
 
4.5%
이 940
 
2.4%
인 796
 
2.1%
주 721
 
1.9%
스 709
 
1.8%
리 561
 
1.5%
천 555
 
1.4%
안 508
 
1.3%
대 479
 
1.2%
식 423
 
1.1%
Other values (896) 31264
80.8%
Latin
ValueCountFrequency (%)
e 125
 
7.0%
C 111
 
6.2%
S 99
 
5.5%
a 92
 
5.1%
o 74
 
4.1%
B 69
 
3.8%
G 67
 
3.7%
O 59
 
3.3%
P 56
 
3.1%
A 55
 
3.1%
Other values (43) 991
55.1%
Common
ValueCountFrequency (%)
2829
59.0%
) 472
 
9.8%
( 472
 
9.8%
2 201
 
4.2%
0 131
 
2.7%
5 116
 
2.4%
1 112
 
2.3%
8 76
 
1.6%
9 62
 
1.3%
7 55
 
1.1%
Other values (18) 270
 
5.6%
Han
ValueCountFrequency (%)
愛 5
29.4%
家 2
 
11.8%
肉 2
 
11.8%
新 1
 
5.9%
酒 1
 
5.9%
牛 1
 
5.9%
仁 1
 
5.9%
上 1
 
5.9%
桃 1
 
5.9%
園 1
 
5.9%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38674
85.4%
ASCII 6568
 
14.5%
None 26
 
0.1%
CJK 17
 
< 0.1%
Compat Jamo 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2829
43.1%
) 472
 
7.2%
( 472
 
7.2%
2 201
 
3.1%
0 131
 
2.0%
e 125
 
1.9%
5 116
 
1.8%
1 112
 
1.7%
C 111
 
1.7%
S 99
 
1.5%
Other values (68) 1900
28.9%
Hangul
ValueCountFrequency (%)
점 1723
 
4.5%
이 940
 
2.4%
인 796
 
2.1%
주 721
 
1.9%
스 709
 
1.8%
리 561
 
1.5%
천 555
 
1.4%
안 508
 
1.3%
대 479
 
1.2%
식 423
 
1.1%
Other values (895) 31259
80.8%
None
ValueCountFrequency (%)
＆ 22
84.6%
· 3
 
11.5%
α 1
 
3.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 5
100.0%
CJK
ValueCountFrequency (%)
愛 5
29.4%
家 2
 
11.8%
肉 2
 
11.8%
新 1
 
5.9%
酒 1
 
5.9%
牛 1
 
5.9%
仁 1
 
5.9%
上 1
 
5.9%
桃 1
 
5.9%
園 1
 
5.9%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

소재지(도로명)
Text

Distinct5834
Distinct (%)91.1%
Missing53
Missing (%)0.8%
Memory size50.6 KiB
2024-03-23T14:52:23.440677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length68
Mean length32.40025
Min length22

Characters and Unicode

Total characters207394
Distinct characters440
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5433 ?
Unique (%)84.9%

Sample

1st row인천광역시 미추홀구 미추로 42 (숭의동,(1층))
2nd row인천광역시 미추홀구 구월로 8 (주안동)
3rd row인천광역시 미추홀구 인하로 274-30 (주안동,남부상가3동9호)
4th row인천광역시 미추홀구 인중로 18, 1층 (숭의동)
5th row인천광역시 미추홀구 독배로 473 (숭의동)
ValueCountFrequency (%)
인천광역시 6401
 
16.2%
미추홀구 6401
 
16.2%
주안동 2381
 
6.0%
1층 1727
 
4.4%
용현동 1631
 
4.1%
도화동 688
 
1.7%
숭의동 532
 
1.3%
학익동 483
 
1.2%
2층 433
 
1.1%
경인로 355
 
0.9%
Other values (3212) 18474
46.8%
2024-03-23T14:52:24.056818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33114
 
16.0%
1 8613
 
4.2%
인 8437
 
4.1%
홀 7110
 
3.4%
미 7010
 
3.4%
동 6960
 
3.4%
추 6879
 
3.3%
천 6661
 
3.2%
( 6528
 
3.1%
) 6526
 
3.1%
Other values (430) 109556
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122474
59.1%
Space Separator 33114
 
16.0%
Decimal Number 31993
 
15.4%
Open Punctuation 6529
 
3.1%
Close Punctuation 6527
 
3.1%
Other Punctuation 5065
 
2.4%
Dash Punctuation 1051
 
0.5%
Uppercase Letter 440
 
0.2%
Lowercase Letter 134
 
0.1%
Math Symbol 65
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 8437
 
6.9%
홀 7110
 
5.8%
미 7010
 
5.7%
동 6960
 
5.7%
추 6879
 
5.6%
천 6661
 
5.4%
역 6503
 
5.3%
시 6499
 
5.3%
구 6481
 
5.3%
광 6423
 
5.2%
Other values (368) 53511
43.7%
Uppercase Letter
ValueCountFrequency (%)
B 120
27.3%
A 54
12.3%
S 51
11.6%
I 33
 
7.5%
E 29
 
6.6%
K 24
 
5.5%
W 23
 
5.2%
V 22
 
5.0%
J 16
 
3.6%
C 14
 
3.2%
Other values (11) 54
12.3%
Lowercase Letter
ValueCountFrequency (%)
e 38
28.4%
y 22
16.4%
k 21
15.7%
o 8
 
6.0%
w 5
 
3.7%
r 5
 
3.7%
n 5
 
3.7%
b 5
 
3.7%
l 4
 
3.0%
u 4
 
3.0%
Other values (7) 17
12.7%
Decimal Number
ValueCountFrequency (%)
1 8613
26.9%
2 4494
14.0%
3 3623
11.3%
0 3145
 
9.8%
4 2729
 
8.5%
5 2288
 
7.2%
6 2038
 
6.4%
8 1842
 
5.8%
7 1833
 
5.7%
9 1388
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 5035
99.4%
. 26
 
0.5%
@ 2
 
< 0.1%
/ 1
 
< 0.1%
* 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 6528
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 6526
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
33114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1051
100.0%
Math Symbol
ValueCountFrequency (%)
~ 65
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122473
59.1%
Common 84345
40.7%
Latin 574
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 8437
 
6.9%
홀 7110
 
5.8%
미 7010
 
5.7%
동 6960
 
5.7%
추 6879
 
5.6%
천 6661
 
5.4%
역 6503
 
5.3%
시 6499
 
5.3%
구 6481
 
5.3%
광 6423
 
5.2%
Other values (367) 53510
43.7%
Latin
ValueCountFrequency (%)
B 120
20.9%
A 54
 
9.4%
S 51
 
8.9%
e 38
 
6.6%
I 33
 
5.7%
E 29
 
5.1%
K 24
 
4.2%
W 23
 
4.0%
y 22
 
3.8%
V 22
 
3.8%
Other values (28) 158
27.5%
Common
ValueCountFrequency (%)
33114
39.3%
1 8613
 
10.2%
( 6528
 
7.7%
) 6526
 
7.7%
, 5035
 
6.0%
2 4494
 
5.3%
3 3623
 
4.3%
0 3145
 
3.7%
4 2729
 
3.2%
5 2288
 
2.7%
Other values (13) 8250
 
9.8%
Han
ValueCountFrequency (%)
星 1
50.0%
伯 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122472
59.1%
ASCII 84919
40.9%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33114
39.0%
1 8613
 
10.1%
( 6528
 
7.7%
) 6526
 
7.7%
, 5035
 
5.9%
2 4494
 
5.3%
3 3623
 
4.3%
0 3145
 
3.7%
4 2729
 
3.2%
5 2288
 
2.7%
Other values (51) 8824
 
10.4%
Hangul
ValueCountFrequency (%)
인 8437
 
6.9%
홀 7110
 
5.8%
미 7010
 
5.7%
동 6960
 
5.7%
추 6879
 
5.6%
천 6661
 
5.4%
역 6503
 
5.3%
시 6499
 
5.3%
구 6481
 
5.3%
광 6423
 
5.2%
Other values (366) 53509
43.7%
CJK
ValueCountFrequency (%)
星 1
50.0%
伯 1
50.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지(지번)
Text

Distinct4956
Distinct (%)76.8%
Missing1
Missing (%)< 0.1%
Memory size50.6 KiB
2024-03-23T14:52:24.603802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length52
Mean length24.534015
Min length17

Characters and Unicode

Total characters158318
Distinct characters412
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4118 ?
Unique (%)63.8%

Sample

1st row인천광역시 미추홀구 숭의동 158-21 (1층)
2nd row인천광역시 미추홀구 주안동 1542-19
3rd row인천광역시 미추홀구 주안동 1315-19 남부상가3동9호
4th row인천광역시 미추홀구 숭의동 408-8
5th row인천광역시 미추홀구 숭의동 301-73
ValueCountFrequency (%)
인천광역시 6453
21.4%
미추홀구 6453
21.4%
주안동 2553
 
8.5%
용현동 1715
 
5.7%
도화동 719
 
2.4%
숭의동 556
 
1.8%
학익동 514
 
1.7%
1층 466
 
1.5%
문학동 208
 
0.7%
관교동 201
 
0.7%
Other values (4657) 10292
34.2%
2024-03-23T14:52:25.325413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29495
18.6%
1 7711
 
4.9%
인 6796
 
4.3%
미 6689
 
4.2%
동 6680
 
4.2%
천 6652
 
4.2%
홀 6561
 
4.1%
추 6557
 
4.1%
역 6550
 
4.1%
시 6547
 
4.1%
Other values (402) 68080
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89550
56.6%
Decimal Number 32161
 
20.3%
Space Separator 29495
 
18.6%
Dash Punctuation 5876
 
3.7%
Other Punctuation 574
 
0.4%
Uppercase Letter 303
 
0.2%
Open Punctuation 113
 
0.1%
Close Punctuation 113
 
0.1%
Lowercase Letter 112
 
0.1%
Math Symbol 19
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 6796
 
7.6%
미 6689
 
7.5%
동 6680
 
7.5%
천 6652
 
7.4%
홀 6561
 
7.3%
추 6557
 
7.3%
역 6550
 
7.3%
시 6547
 
7.3%
광 6475
 
7.2%
구 6474
 
7.2%
Other values (349) 23569
26.3%
Uppercase Letter
ValueCountFrequency (%)
B 44
14.5%
S 44
14.5%
I 31
10.2%
E 27
8.9%
W 21
6.9%
K 21
6.9%
V 20
 
6.6%
A 19
 
6.3%
J 15
 
5.0%
T 11
 
3.6%
Other values (10) 50
16.5%
Lowercase Letter
ValueCountFrequency (%)
e 36
32.1%
y 20
17.9%
k 19
17.0%
o 6
 
5.4%
r 5
 
4.5%
w 5
 
4.5%
n 5
 
4.5%
v 4
 
3.6%
g 4
 
3.6%
c 4
 
3.6%
Other values (2) 4
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 7711
24.0%
2 4137
12.9%
4 3081
 
9.6%
6 2911
 
9.1%
3 2902
 
9.0%
0 2634
 
8.2%
5 2618
 
8.1%
9 2320
 
7.2%
8 2020
 
6.3%
7 1827
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 566
98.6%
. 4
 
0.7%
/ 3
 
0.5%
@ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
29495
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5876
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89549
56.6%
Common 68352
43.2%
Latin 415
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 6796
 
7.6%
미 6689
 
7.5%
동 6680
 
7.5%
천 6652
 
7.4%
홀 6561
 
7.3%
추 6557
 
7.3%
역 6550
 
7.3%
시 6547
 
7.3%
광 6475
 
7.2%
구 6474
 
7.2%
Other values (348) 23568
26.3%
Latin
ValueCountFrequency (%)
B 44
 
10.6%
S 44
 
10.6%
e 36
 
8.7%
I 31
 
7.5%
E 27
 
6.5%
W 21
 
5.1%
K 21
 
5.1%
V 20
 
4.8%
y 20
 
4.8%
A 19
 
4.6%
Other values (22) 132
31.8%
Common
ValueCountFrequency (%)
29495
43.2%
1 7711
 
11.3%
- 5876
 
8.6%
2 4137
 
6.1%
4 3081
 
4.5%
6 2911
 
4.3%
3 2902
 
4.2%
0 2634
 
3.9%
5 2618
 
3.8%
9 2320
 
3.4%
Other values (10) 4667
 
6.8%
Han
ValueCountFrequency (%)
星 1
50.0%
伯 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89548
56.6%
ASCII 68767
43.4%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29495
42.9%
1 7711
 
11.2%
- 5876
 
8.5%
2 4137
 
6.0%
4 3081
 
4.5%
6 2911
 
4.2%
3 2902
 
4.2%
0 2634
 
3.8%
5 2618
 
3.8%
9 2320
 
3.4%
Other values (42) 5082
 
7.4%
Hangul
ValueCountFrequency (%)
인 6796
 
7.6%
미 6689
 
7.5%
동 6680
 
7.5%
천 6652
 
7.4%
홀 6561
 
7.3%
추 6557
 
7.3%
역 6550
 
7.3%
시 6547
 
7.3%
광 6475
 
7.2%
구 6474
 
7.2%
Other values (347) 23567
26.3%
CJK
ValueCountFrequency (%)
星 1
50.0%
伯 1
50.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지전화
Text

MISSING 

Distinct2511
Distinct (%)98.2%
Missing3898
Missing (%)60.4%
Memory size50.6 KiB
2024-03-23T14:52:25.597396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.01252
Min length9

Characters and Unicode

Total characters30704
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

Unique2470 ?
Unique (%)96.6%

Sample

1st row032-882-1609
2nd row032-422-0744
3rd row032-882-7104
4th row032-883-1771
5th row032-872-8020
ValueCountFrequency (%)
032-437-9999 4
 
0.2%
032-227-5000 3
 
0.1%
032-423-2343 3
 
0.1%
032-875-2166 2
 
0.1%
032-424-1383 2
 
0.1%
032-422-1221 2
 
0.1%
032-431-0113 2
 
0.1%
02-3019-2255 2
 
0.1%
032-872-8111 2
 
0.1%
032-868-3814 2
 
0.1%
Other values (2501) 2532
99.1%
2024-03-23T14:52:26.010568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5102
16.6%
2 4578
14.9%
3 4096
13.3%
0 3917
12.8%
8 3537
11.5%
4 1995
 
6.5%
7 1830
 
6.0%
6 1654
 
5.4%
5 1465
 
4.8%
1 1318
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25602
83.4%
Dash Punctuation 5102
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4578
17.9%
3 4096
16.0%
0 3917
15.3%
8 3537
13.8%
4 1995
7.8%
7 1830
 
7.1%
6 1654
 
6.5%
5 1465
 
5.7%
1 1318
 
5.1%
9 1212
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 5102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30704
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5102
16.6%
2 4578
14.9%
3 4096
13.3%
0 3917
12.8%
8 3537
11.5%
4 1995
 
6.5%
7 1830
 
6.0%
6 1654
 
5.4%
5 1465
 
4.8%
1 1318
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30704
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5102
16.6%
2 4578
14.9%
3 4096
13.3%
0 3917
12.8%
8 3537
11.5%
4 1995
 
6.5%
7 1830
 
6.0%
6 1654
 
5.4%
5 1465
 
4.8%
1 1318
 
4.3%

Interactions

2024-03-23T14:52:20.909745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:52:26.111801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.783
업종명0.7831.000
2024-03-23T14:52:26.193359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.563
업종명0.5631.000

Missing values

2024-03-23T14:52:21.059296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:52:21.222764image/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.
2024-03-23T14:52:21.346324image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화
01일반음식점논골고기촌인천광역시 미추홀구 미추로 42 (숭의동,(1층))인천광역시 미추홀구 숭의동 158-21 (1층)032-882-1609
12일반음식점봉이빈대떡인천광역시 미추홀구 구월로 8 (주안동)인천광역시 미추홀구 주안동 1542-19032-422-0744
23일반음식점참설렁탕인천광역시 미추홀구 인하로 274-30 (주안동,남부상가3동9호)인천광역시 미추홀구 주안동 1315-19 남부상가3동9호<NA>
34일반음식점영화반점인천광역시 미추홀구 인중로 18, 1층 (숭의동)인천광역시 미추홀구 숭의동 408-8<NA>
45일반음식점동락반점인천광역시 미추홀구 독배로 473 (숭의동)인천광역시 미추홀구 숭의동 301-73032-882-7104
56일반음식점성진물텀벙이인천광역시 미추홀구 독배로403번길 10 (용현동,2,3층)인천광역시 미추홀구 용현동 509-17 2,3층032-883-1771
67일반음식점밥푸면&박스밥<NA>인천광역시 미추홀구 도화동 94-3<NA>
78일반음식점동백식당인천광역시 미추홀구 경인로 186 (도화동)인천광역시 미추홀구 도화동 634-2032-872-8020
89일반음식점경안각인천광역시 미추홀구 경인로 182-1 (도화동)인천광역시 미추홀구 도화동 634-17<NA>
910일반음식점해성장<NA>인천광역시 미추홀구 주안동 292<NA>
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
64446445제과점영업뚜레쥬르 주안파크자이점인천광역시 미추홀구 인하로221번길 6, 1층 103호 (주안동)인천광역시 미추홀구 주안동 1420-44 103호<NA>
64456446제과점영업다온 디저트 베이커리인천광역시 미추홀구 주승로 247, 동부아파트 제상가동 1층 101호 (관교동)인천광역시 미추홀구 관교동 13-11 동부아파트<NA>
64466447제과점영업마호가니 인하점인천광역시 미추홀구 인하로 100, 인하드림센터 1관 39동 1층 일부호 (용현동)인천광역시 미추홀구 용현동 253 인하대,인하공전,정석항공고032-433-9500
64476448제과점영업코코호도 주안점인천광역시 미추홀구 남주길 150, 상가2동 1층 근린생활시설-2, 103호 (주안동, 힐스테이트 푸르지오 주안)인천광역시 미추홀구 주안동 1452-2 힐스테이트 푸르지오 주안<NA>
64486449제과점영업헤이앨리스인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 일부호 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>
64496450제과점영업파리바게뜨 주안 힐스테이트 푸르지오점인천광역시 미추홀구 남주길 150, 117,118호 (주안동, 힐스테이트 푸르지오 주안)인천광역시 미추홀구 주안동 1452-2 힐스테이트 푸르지오 주안<NA>
64506451제과점영업지유니크 디저트인천광역시 미추홀구 독배로432번길 3, 3층 일부호 (숭의동)인천광역시 미추홀구 숭의동 293-19<NA>
64516452제과점영업밤이쌀쌀해요(공주시청년사업소)인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 식품관 일부호 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>
64526453제과점영업파리크라상 인천롯데백화점인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 식품관 일부호 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>
64536454제과점영업뵈르카페인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 일부호 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점<NA>