Overview

Dataset statistics

Number of variables9
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory75.7 B

Variable types

Categorical1
Text5
Numeric2
DateTime1

Dataset

Description경기도 수원시 착한가격업소 현황에 대한 데이터로 업종, 상호명, 대표자명, 소재지주소(도로명, 지번), 업체전화번호 등의 항목을 제공합니다.
Author경기도 수원시
URLhttps://www.data.go.kr/data/15017305/fileData.do

Alerts

기준일 has constant value ""Constant
상호명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:12:03.512572
Analysis finished2024-04-06 08:12:07.391634
Duration3.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct10
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
한식
37 
미용업
18 
기타요식업
6 
세탁업
5 
목욕업
4 
Other values (5)
10 

Length

Max length6
Median length2
Mean length2.6625
Min length2

Unique

Unique3 ?
Unique (%)3.8%

Sample

1st row한식
2nd row양식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 37
46.2%
미용업 18
22.5%
기타요식업 6
 
7.5%
세탁업 5
 
6.2%
목욕업 4
 
5.0%
이용업 4
 
5.0%
양식 3
 
3.8%
중식 1
 
1.2%
기타비요식업 1
 
1.2%
일식 1
 
1.2%

Length

2024-04-06T17:12:07.633743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:12:07.873573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 37
46.2%
미용업 18
22.5%
기타요식업 6
 
7.5%
세탁업 5
 
6.2%
목욕업 4
 
5.0%
이용업 4
 
5.0%
양식 3
 
3.8%
중식 1
 
1.2%
기타비요식업 1
 
1.2%
일식 1
 
1.2%

상호명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-06T17:12:08.565678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.2875
Min length2

Characters and Unicode

Total characters423
Distinct characters179
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

Unique80 ?
Unique (%)100.0%

Sample

1st row예전각전복설렁탕
2nd row명동돈까스
3rd row다원사뎅이
4th row시골밥집
5th row풍년식당
ValueCountFrequency (%)
예전각전복설렁탕 1
 
1.1%
명동돈까스 1
 
1.1%
미소레 1
 
1.1%
통큰칼국수 1
 
1.1%
셰프스위트 1
 
1.1%
마포생고기 1
 
1.1%
백천홍두깨칼국수 1
 
1.1%
홍두깨 1
 
1.1%
다모아헤어샵 1
 
1.1%
순보리네식당 1
 
1.1%
Other values (78) 78
88.6%
2024-04-06T17:12:09.404079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 12
 
2.8%
이 11
 
2.6%
국 10
 
2.4%
어 10
 
2.4%
헤 10
 
2.4%
8
 
1.9%
소 7
 
1.7%
우 7
 
1.7%
수 7
 
1.7%
당 7
 
1.7%
Other values (169) 334
79.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 410
96.9%
Space Separator 8
 
1.9%
Decimal Number 2
 
0.5%
Uppercase Letter 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 12
 
2.9%
이 11
 
2.7%
국 10
 
2.4%
어 10
 
2.4%
헤 10
 
2.4%
소 7
 
1.7%
우 7
 
1.7%
수 7
 
1.7%
당 7
 
1.7%
식 7
 
1.7%
Other values (163) 322
78.5%
Decimal Number
ValueCountFrequency (%)
8 1
50.0%
9 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 410
96.9%
Common 12
 
2.8%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 12
 
2.9%
이 11
 
2.7%
국 10
 
2.4%
어 10
 
2.4%
헤 10
 
2.4%
소 7
 
1.7%
우 7
 
1.7%
수 7
 
1.7%
당 7
 
1.7%
식 7
 
1.7%
Other values (163) 322
78.5%
Common
ValueCountFrequency (%)
8
66.7%
8 1
 
8.3%
9 1
 
8.3%
) 1
 
8.3%
( 1
 
8.3%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 410
96.9%
ASCII 13
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 12
 
2.9%
이 11
 
2.7%
국 10
 
2.4%
어 10
 
2.4%
헤 10
 
2.4%
소 7
 
1.7%
우 7
 
1.7%
수 7
 
1.7%
당 7
 
1.7%
식 7
 
1.7%
Other values (163) 322
78.5%
ASCII
ValueCountFrequency (%)
8
61.5%
8 1
 
7.7%
9 1
 
7.7%
M 1
 
7.7%
) 1
 
7.7%
( 1
 
7.7%

대표자
Text

Distinct78
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-06T17:12:09.889456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters240
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)95.0%

Sample

1st row이승재
2nd row최영수
3rd row유금남
4th row손연우
5th row정용진
ValueCountFrequency (%)
김영애 2
 
2.5%
김동년 2
 
2.5%
이병석 1
 
1.2%
김재호 1
 
1.2%
박상호 1
 
1.2%
정혜영 1
 
1.2%
박시현 1
 
1.2%
유종금 1
 
1.2%
정순자 1
 
1.2%
이태우 1
 
1.2%
Other values (68) 68
85.0%
2024-04-06T17:12:10.622855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 17
 
7.1%
김 14
 
5.8%
진 8
 
3.3%
박 8
 
3.3%
영 8
 
3.3%
경 7
 
2.9%
자 7
 
2.9%
정 7
 
2.9%
숙 6
 
2.5%
희 6
 
2.5%
Other values (69) 152
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 17
 
7.1%
김 14
 
5.8%
진 8
 
3.3%
박 8
 
3.3%
영 8
 
3.3%
경 7
 
2.9%
자 7
 
2.9%
정 7
 
2.9%
숙 6
 
2.5%
희 6
 
2.5%
Other values (69) 152
63.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 17
 
7.1%
김 14
 
5.8%
진 8
 
3.3%
박 8
 
3.3%
영 8
 
3.3%
경 7
 
2.9%
자 7
 
2.9%
정 7
 
2.9%
숙 6
 
2.5%
희 6
 
2.5%
Other values (69) 152
63.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 17
 
7.1%
김 14
 
5.8%
진 8
 
3.3%
박 8
 
3.3%
영 8
 
3.3%
경 7
 
2.9%
자 7
 
2.9%
정 7
 
2.9%
숙 6
 
2.5%
희 6
 
2.5%
Other values (69) 152
63.3%

소재지도로명주소
Text

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-06T17:12:11.145807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length23.675
Min length13

Characters and Unicode

Total characters1894
Distinct characters120
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

Unique78 ?
Unique (%)97.5%

Sample

1st row수원시 장안구 경수대로 813(영화동)
2nd row수원시 장안구 서부로 2106번길 17(율전동)
3rd row수원시 장안구 조원로89번길 13(조원동)
4th row수원시 장안구 파장로76번길 25 (파장동)
5th row수원시 장안구 팔달로 271번길 40 (영화동)
ValueCountFrequency (%)
수원시 80
22.0%
장안구 22
 
6.1%
팔달구 22
 
6.1%
영통구 19
 
5.2%
권선구 17
 
4.7%
1층 7
 
1.9%
매산로 3
 
0.8%
영통로 2
 
0.6%
파장천로 2
 
0.6%
정조로 2
 
0.6%
Other values (176) 187
51.5%
2024-04-06T17:12:12.033341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
 
15.0%
원 92
 
4.9%
수 90
 
4.8%
1 88
 
4.6%
로 85
 
4.5%
시 81
 
4.3%
구 80
 
4.2%
2 60
 
3.2%
동 53
 
2.8%
( 52
 
2.7%
Other values (110) 929
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1093
57.7%
Decimal Number 370
 
19.5%
Space Separator 284
 
15.0%
Open Punctuation 52
 
2.7%
Close Punctuation 52
 
2.7%
Other Punctuation 26
 
1.4%
Dash Punctuation 15
 
0.8%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 92
 
8.4%
수 90
 
8.2%
로 85
 
7.8%
시 81
 
7.4%
구 80
 
7.3%
동 53
 
4.8%
번 51
 
4.7%
길 51
 
4.7%
장 35
 
3.2%
영 31
 
2.8%
Other values (93) 444
40.6%
Decimal Number
ValueCountFrequency (%)
1 88
23.8%
2 60
16.2%
5 37
10.0%
4 32
 
8.6%
7 31
 
8.4%
3 28
 
7.6%
6 27
 
7.3%
0 26
 
7.0%
8 21
 
5.7%
9 20
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
284
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1093
57.7%
Common 799
42.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 92
 
8.4%
수 90
 
8.2%
로 85
 
7.8%
시 81
 
7.4%
구 80
 
7.3%
동 53
 
4.8%
번 51
 
4.7%
길 51
 
4.7%
장 35
 
3.2%
영 31
 
2.8%
Other values (93) 444
40.6%
Common
ValueCountFrequency (%)
284
35.5%
1 88
 
11.0%
2 60
 
7.5%
( 52
 
6.5%
) 52
 
6.5%
5 37
 
4.6%
4 32
 
4.0%
7 31
 
3.9%
3 28
 
3.5%
6 27
 
3.4%
Other values (5) 108
 
13.5%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1093
57.7%
ASCII 801
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
35.5%
1 88
 
11.0%
2 60
 
7.5%
( 52
 
6.5%
) 52
 
6.5%
5 37
 
4.6%
4 32
 
4.0%
7 31
 
3.9%
3 28
 
3.5%
6 27
 
3.4%
Other values (7) 110
 
13.7%
Hangul
ValueCountFrequency (%)
원 92
 
8.4%
수 90
 
8.2%
로 85
 
7.8%
시 81
 
7.4%
구 80
 
7.3%
동 53
 
4.8%
번 51
 
4.7%
길 51
 
4.7%
장 35
 
3.2%
영 31
 
2.8%
Other values (93) 444
40.6%

소재지지번주소
Text

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-06T17:12:12.599831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length21.125
Min length17

Characters and Unicode

Total characters1690
Distinct characters71
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)97.5%

Sample

1st row경기도 수원시 장안구 영화동 97-9
2nd row경기도 수원시 장안구 율전동 433-66
3rd row경기도 수원시 장안구 조원동 742-23
4th row경기도 수원시 장안구 파장동 579-26
5th row경기도 수원시 장안구 영화동 275-7
ValueCountFrequency (%)
경기도 80
20.0%
수원시 80
20.0%
장안구 22
 
5.5%
팔달구 22
 
5.5%
영통구 18
 
4.5%
권선구 17
 
4.2%
매탄동 10
 
2.5%
세류동 6
 
1.5%
영화동 5
 
1.2%
정자동 5
 
1.2%
Other values (106) 135
33.8%
2024-04-06T17:12:13.431963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
320
18.9%
원 83
 
4.9%
수 82
 
4.9%
경 80
 
4.7%
기 80
 
4.7%
도 80
 
4.7%
시 80
 
4.7%
구 79
 
4.7%
1 76
 
4.5%
동 74
 
4.4%
Other values (61) 656
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 958
56.7%
Decimal Number 343
 
20.3%
Space Separator 320
 
18.9%
Dash Punctuation 69
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 83
 
8.7%
수 82
 
8.6%
경 80
 
8.4%
기 80
 
8.4%
도 80
 
8.4%
시 80
 
8.4%
구 79
 
8.2%
동 74
 
7.7%
영 27
 
2.8%
장 26
 
2.7%
Other values (49) 267
27.9%
Decimal Number
ValueCountFrequency (%)
1 76
22.2%
3 45
13.1%
2 43
12.5%
7 37
10.8%
4 29
 
8.5%
9 27
 
7.9%
5 27
 
7.9%
8 24
 
7.0%
0 21
 
6.1%
6 14
 
4.1%
Space Separator
ValueCountFrequency (%)
320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 958
56.7%
Common 732
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 83
 
8.7%
수 82
 
8.6%
경 80
 
8.4%
기 80
 
8.4%
도 80
 
8.4%
시 80
 
8.4%
구 79
 
8.2%
동 74
 
7.7%
영 27
 
2.8%
장 26
 
2.7%
Other values (49) 267
27.9%
Common
ValueCountFrequency (%)
320
43.7%
1 76
 
10.4%
- 69
 
9.4%
3 45
 
6.1%
2 43
 
5.9%
7 37
 
5.1%
4 29
 
4.0%
9 27
 
3.7%
5 27
 
3.7%
8 24
 
3.3%
Other values (2) 35
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 958
56.7%
ASCII 732
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
320
43.7%
1 76
 
10.4%
- 69
 
9.4%
3 45
 
6.1%
2 43
 
5.9%
7 37
 
5.1%
4 29
 
4.0%
9 27
 
3.7%
5 27
 
3.7%
8 24
 
3.3%
Other values (2) 35
 
4.8%
Hangul
ValueCountFrequency (%)
원 83
 
8.7%
수 82
 
8.6%
경 80
 
8.4%
기 80
 
8.4%
도 80
 
8.4%
시 80
 
8.4%
구 79
 
8.2%
동 74
 
7.7%
영 27
 
2.8%
장 26
 
2.7%
Other values (49) 267
27.9%

위도
Real number (ℝ)

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.275689
Minimum37.242626
Maximum37.307966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-06T17:12:13.731611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.242626
5-th percentile37.247414
Q137.264941
median37.274116
Q337.291287
95-th percentile37.304057
Maximum37.307966
Range0.06533964
Interquartile range (IQR)0.02634562

Descriptive statistics

Standard deviation0.018112285
Coefficient of variation (CV)0.00048590073
Kurtosis-0.92985248
Mean37.275689
Median Absolute Deviation (MAD)0.01630708
Skewness0.036434315
Sum2982.0552
Variance0.00032805485
MonotonicityNot monotonic
2024-04-06T17:12:14.104376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.27996 2
 
2.5%
37.29416364 1
 
1.2%
37.29700215 1
 
1.2%
37.27264 1
 
1.2%
37.27741 1
 
1.2%
37.275784 1
 
1.2%
37.26629 1
 
1.2%
37.26457 1
 
1.2%
37.2865 1
 
1.2%
37.278616 1
 
1.2%
Other values (69) 69
86.2%
ValueCountFrequency (%)
37.242626 1
1.2%
37.2435 1
1.2%
37.24666925 1
1.2%
37.24737 1
1.2%
37.24741593 1
1.2%
37.24797132 1
1.2%
37.24814 1
1.2%
37.24853085 1
1.2%
37.24945 1
1.2%
37.250145 1
1.2%
ValueCountFrequency (%)
37.30796564 1
1.2%
37.30713591 1
1.2%
37.3063766 1
1.2%
37.30594 1
1.2%
37.3039578 1
1.2%
37.3033791 1
1.2%
37.30314 1
1.2%
37.30181728 1
1.2%
37.3016006 1
1.2%
37.30074392 1
1.2%

경도
Real number (ℝ)

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01715
Minimum126.93909
Maximum127.08263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-06T17:12:14.442538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.93909
5-th percentile126.96445
Q1127.00128
median127.01543
Q3127.03941
95-th percentile127.05732
Maximum127.08263
Range0.14354
Interquartile range (IQR)0.0381321

Descriptive statistics

Standard deviation0.028747688
Coefficient of variation (CV)0.00022632919
Kurtosis0.52663848
Mean127.01715
Median Absolute Deviation (MAD)0.0160205
Skewness-0.32523837
Sum10161.372
Variance0.00082642957
MonotonicityNot monotonic
2024-04-06T17:12:14.778582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.01525 2
 
2.5%
127.0169604 1
 
1.2%
126.9712132 1
 
1.2%
127.01483 1
 
1.2%
127.02001 1
 
1.2%
127.018135 1
 
1.2%
127.00239 1
 
1.2%
127.02383 1
 
1.2%
127.030811 1
 
1.2%
127.0022 1
 
1.2%
Other values (69) 69
86.2%
ValueCountFrequency (%)
126.93909 1
1.2%
126.9441163 1
1.2%
126.9536248 1
1.2%
126.95633 1
1.2%
126.9648773 1
1.2%
126.9712132 1
1.2%
126.9727988 1
1.2%
126.97735 1
1.2%
126.9837683 1
1.2%
126.9913778 1
1.2%
ValueCountFrequency (%)
127.08263 1
1.2%
127.077098 1
1.2%
127.076839 1
1.2%
127.0601784 1
1.2%
127.057167 1
1.2%
127.0566053 1
1.2%
127.055169 1
1.2%
127.0511119 1
1.2%
127.050642 1
1.2%
127.05029 1
1.2%

전화번호
Text

Distinct78
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-06T17:12:15.434874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.8375
Min length7

Characters and Unicode

Total characters947
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)96.2%

Sample

1st row031-245-2003
2nd row031-297-7774
3rd row031-251-3009
4th row031-257-6717
5th row031-243-8237
ValueCountFrequency (%)
대표번호 3
 
3.6%
없음 3
 
3.6%
031-203-4846 1
 
1.2%
031-252-6898 1
 
1.2%
070-7559-1261 1
 
1.2%
031-247-3351 1
 
1.2%
031-245-9133 1
 
1.2%
031-225-5464 1
 
1.2%
031-254-2567 1
 
1.2%
031-234-5208 1
 
1.2%
Other values (69) 69
83.1%
2024-04-06T17:12:16.354114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 154
16.3%
1 124
13.1%
0 122
12.9%
3 121
12.8%
2 111
11.7%
4 57
 
6.0%
5 52
 
5.5%
6 50
 
5.3%
7 49
 
5.2%
8 43
 
4.5%
Other values (8) 64
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 772
81.5%
Dash Punctuation 154
 
16.3%
Other Letter 18
 
1.9%
Space Separator 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 124
16.1%
0 122
15.8%
3 121
15.7%
2 111
14.4%
4 57
7.4%
5 52
6.7%
6 50
6.5%
7 49
 
6.3%
8 43
 
5.6%
9 43
 
5.6%
Other Letter
ValueCountFrequency (%)
표 3
16.7%
음 3
16.7%
없 3
16.7%
호 3
16.7%
번 3
16.7%
대 3
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 929
98.1%
Hangul 18
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 154
16.6%
1 124
13.3%
0 122
13.1%
3 121
13.0%
2 111
11.9%
4 57
 
6.1%
5 52
 
5.6%
6 50
 
5.4%
7 49
 
5.3%
8 43
 
4.6%
Other values (2) 46
 
5.0%
Hangul
ValueCountFrequency (%)
표 3
16.7%
음 3
16.7%
없 3
16.7%
호 3
16.7%
번 3
16.7%
대 3
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 929
98.1%
Hangul 18
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 154
16.6%
1 124
13.3%
0 122
13.1%
3 121
13.0%
2 111
11.9%
4 57
 
6.1%
5 52
 
5.6%
6 50
 
5.4%
7 49
 
5.3%
8 43
 
4.6%
Other values (2) 46
 
5.0%
Hangul
ValueCountFrequency (%)
표 3
16.7%
음 3
16.7%
없 3
16.7%
호 3
16.7%
번 3
16.7%
대 3
16.7%

기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2024-03-28 00:00:00
Maximum2024-03-28 00:00:00
2024-04-06T17:12:16.620570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:12:16.892339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:12:06.223449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:12:05.332726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:12:06.438207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:12:06.015443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:12:17.064799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종상호명대표자소재지도로명주소소재지지번주소위도경도전화번호
업종1.0001.0000.0000.0000.0000.2220.4410.925
상호명1.0001.0001.0001.0001.0001.0001.0001.000
대표자0.0001.0001.0001.0001.0000.9710.9840.995
소재지도로명주소0.0001.0001.0001.0001.0001.0001.0000.996
소재지지번주소0.0001.0001.0001.0001.0001.0001.0000.996
위도0.2221.0000.9711.0001.0001.0000.7350.925
경도0.4411.0000.9841.0001.0000.7351.0000.949
전화번호0.9251.0000.9950.9960.9960.9250.9491.000
2024-04-06T17:12:17.342467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종
위도1.000-0.4810.057
경도-0.4811.0000.143
업종0.0570.1431.000

Missing values

2024-04-06T17:12:06.820548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:12:07.255174image/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

업종상호명대표자소재지도로명주소소재지지번주소위도경도전화번호기준일
0한식예전각전복설렁탕이승재수원시 장안구 경수대로 813(영화동)경기도 수원시 장안구 영화동 97-937.294164127.01696031-245-20032024-03-28
1양식명동돈까스최영수수원시 장안구 서부로 2106번길 17(율전동)경기도 수원시 장안구 율전동 433-6637.297002126.971213031-297-77742024-03-28
2한식다원사뎅이유금남수원시 장안구 조원로89번길 13(조원동)경기도 수원시 장안구 조원동 742-2337.300357127.015394031-251-30092024-03-28
3한식시골밥집손연우수원시 장안구 파장로76번길 25 (파장동)경기도 수원시 장안구 파장동 579-2637.307136126.993338031-257-67172024-03-28
4한식풍년식당정용진수원시 장안구 팔달로 271번길 40 (영화동)경기도 수원시 장안구 영화동 275-737.291159127.013523031-243-82372024-03-28
5한식흥부네 정육식당도준형수원시 장안구 정자로 146, 한솔빌딩 1층경기도 수원시 장안구 정자동 45437.303958126.992356031-269-00802024-03-28
6세탁업동남세탁소우상만수원시 장안구 만석로101번길 46 (정자동)경기도 수원시 장안구 정자동 327-1237.300744126.991378031-253-14142024-03-28
7미용업전미래헤어월드전인기수원시 장안구 수성로 304번길 19(영화동)경기도 수원시 장안구 영화동 388-1737.290546127.006225031-252-36412024-03-28
8미용업컷트클럽안인순수원시 장안구 조원로 100경기도 수원시 장안구 조원동 733-1637.301601127.015159031-246-63062024-03-28
9미용업주은헤어맹순옥수원시 장안구 장안로 217번길 14 범아상가 107호(정자동)경기도 수원시 장안구 정자동 38337.301817126.993467031-271-40822024-03-28
업종상호명대표자소재지도로명주소소재지지번주소위도경도전화번호기준일
70미용업엠제이헤어강민희수원시 영통구 영통로174번길 43-8,(망포동, 백년빌딩)경기도 수원시 영통구 망포동 334-437.2435127.08263031-206-56602024-03-28
71이용업멋진남자문병철수원시 영통구 매봉로35번길 50, 1층(매탄동)경기도 수원시 영통구 매탄동 111-1037.27197127.05029대표번호 없음2024-03-28
72기타요식업도톰박희재수원시 영통구 중부대로256번길 48, 1층 일부호(매탄동)경기도 수원시 영통구 매탄동 172-8837.27262127.04288031-213-35362024-03-28
73세탁업빨래터세탁소배양수수원시 영통구 동탄원천로 915번길 36, 104호경기도 수원시 영통구 매탄동 127737.25666127.04368031-216-89392024-03-28
74목욕업동아사우나정옥례수원시 영통구 매여울로40번길 45(매탄동)경기도 수원시 영통구 매탄동 102-1337.27272127.047628031-214-35372024-03-28
75한식뚝배기 해장국김선희수원시 영통구 매원로 17(매탄동)경기도 수원시 영통구 매탄동 205-5937.2665127.048238031-281-61082024-03-28
76기타요식업붕붕샐러드박슬기수원시 영통구 신원로 146경기도 수원시 영통구 신동 340-737.24945127.057167031-206-98912024-03-28
77기타요식업언니네 커피문숙진수원시 영통구 신원로 88경기도 수원시 영통구 신동 48637.24737127.050642031-695-59282024-03-28
78한식장터밥상임경애수원시 영통구 반달로46경기도 수원시 영통구 영통동 1005-737.250145127.076839031-203-48462024-03-28
79기타요식업조이커피샌드위치김영선수원시 영통구 영통로 169, 1층경기도 수원시 영통구 망포동 297-837.242626127.055169031-204-07052024-03-28