Overview

Dataset statistics

Number of variables14
Number of observations33
Missing cells20
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory120.0 B

Variable types

Categorical5
Text5
Numeric4

Dataset

Description경기도 의정부시 관내 착한가격업소로 지정된 현황(구분, 업소명, 소재지도로명 주소, 전화번호, 품목1, 가격1, 품목2, 가격2, 위도, 경도, 관리기관명, 관리부서명, 관리부서, 전화번호, 데이터 기준일자)입니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/15012016/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리부서명 has constant value ""Constant
관리부서 전화번호 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
가격1(원) is highly overall correlated with 가격2(원) High correlation
가격2(원) is highly overall correlated with 가격1(원) and 1 other fieldsHigh correlation
구분 is highly overall correlated with 가격2(원) High correlation
품목2 has 10 (30.3%) missing valuesMissing
가격2(원) has 10 (30.3%) missing valuesMissing
업소명 has unique valuesUnique
소재지도로명 주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:08:26.128089
Analysis finished2023-12-13 00:08:27.872727
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
한식
17 
이미용업
7 
세탁업
5 
기타외식
 
1
목욕업
 
1
Other values (2)
2 

Length

Max length4
Median length2
Mean length2.6666667
Min length2

Unique

Unique4 ?
Unique (%)12.1%

Sample

1st row기타외식
2nd row목욕업
3rd row세탁업
4th row세탁업
5th row세탁업

Common Values

ValueCountFrequency (%)
한식 17
51.5%
이미용업 7
21.2%
세탁업 5
 
15.2%
기타외식 1
 
3.0%
목욕업 1
 
3.0%
일식 1
 
3.0%
중식 1
 
3.0%

Length

2023-12-13T09:08:27.946283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:08:28.043698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 17
51.5%
이미용업 7
21.2%
세탁업 5
 
15.2%
기타외식 1
 
3.0%
목욕업 1
 
3.0%
일식 1
 
3.0%
중식 1
 
3.0%

업소명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T09:08:28.210999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.7272727
Min length2

Characters and Unicode

Total characters156
Distinct characters104
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row까만콩
2nd row삼진탕
3rd row은하수세탁소
4th row토탈빨래방
5th row백양세탁
ValueCountFrequency (%)
까만콩 1
 
2.9%
원도봉산 1
 
2.9%
소머리국밥 1
 
2.9%
한가네 1
 
2.9%
이레네칼국수 1
 
2.9%
나드리분식 1
 
2.9%
곰보냉면 1
 
2.9%
일출 1
 
2.9%
감자탕 1
 
2.9%
사랑채보리밥 1
 
2.9%
Other values (25) 25
71.4%
2023-12-13T09:08:28.473319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 5
 
3.2%
리 4
 
2.6%
수 4
 
2.6%
미 4
 
2.6%
탁 4
 
2.6%
세 4
 
2.6%
소 4
 
2.6%
이 3
 
1.9%
탕 3
 
1.9%
기 3
 
1.9%
Other values (94) 118
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
98.7%
Space Separator 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 5
 
3.2%
리 4
 
2.6%
수 4
 
2.6%
미 4
 
2.6%
탁 4
 
2.6%
세 4
 
2.6%
소 4
 
2.6%
이 3
 
1.9%
탕 3
 
1.9%
기 3
 
1.9%
Other values (93) 116
75.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
98.7%
Common 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 5
 
3.2%
리 4
 
2.6%
수 4
 
2.6%
미 4
 
2.6%
탁 4
 
2.6%
세 4
 
2.6%
소 4
 
2.6%
이 3
 
1.9%
탕 3
 
1.9%
기 3
 
1.9%
Other values (93) 116
75.3%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
98.7%
ASCII 2
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 5
 
3.2%
리 4
 
2.6%
수 4
 
2.6%
미 4
 
2.6%
탁 4
 
2.6%
세 4
 
2.6%
소 4
 
2.6%
이 3
 
1.9%
탕 3
 
1.9%
기 3
 
1.9%
Other values (93) 116
75.3%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지도로명 주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T09:08:28.697680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length24.969697
Min length14

Characters and Unicode

Total characters824
Distinct characters69
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row경기도 의정부시 평화로 233-1, 나동 1층 (호원동)
2nd row경기도 의정부시 태평로 198 (의정부동)
3rd row경기도 의정부시 추동로 12 (신곡동, 은하수아파트)
4th row경기도 의정부시 추동로19번길 17-14 (신곡동)
5th row경기도 의정부시 안말로 88 (호원동)
ValueCountFrequency (%)
경기도 33
19.0%
의정부시 33
19.0%
의정부동 12
 
6.9%
1층 5
 
2.9%
호원동 4
 
2.3%
가능동 3
 
1.7%
신곡동 3
 
1.7%
민락동 2
 
1.1%
나동 2
 
1.1%
태평로 2
 
1.1%
Other values (68) 75
43.1%
2023-12-13T09:08:28.989931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
17.7%
의 49
 
5.9%
정 48
 
5.8%
부 46
 
5.6%
시 38
 
4.6%
동 34
 
4.1%
경 33
 
4.0%
로 33
 
4.0%
기 33
 
4.0%
1 33
 
4.0%
Other values (59) 331
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 483
58.6%
Space Separator 146
 
17.7%
Decimal Number 119
 
14.4%
Open Punctuation 30
 
3.6%
Close Punctuation 30
 
3.6%
Other Punctuation 10
 
1.2%
Dash Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 49
10.1%
정 48
 
9.9%
부 46
 
9.5%
시 38
 
7.9%
동 34
 
7.0%
경 33
 
6.8%
로 33
 
6.8%
기 33
 
6.8%
도 33
 
6.8%
길 14
 
2.9%
Other values (44) 122
25.3%
Decimal Number
ValueCountFrequency (%)
1 33
27.7%
2 15
12.6%
8 12
 
10.1%
5 11
 
9.2%
4 10
 
8.4%
7 10
 
8.4%
0 8
 
6.7%
9 8
 
6.7%
6 7
 
5.9%
3 5
 
4.2%
Space Separator
ValueCountFrequency (%)
146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 483
58.6%
Common 341
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 49
10.1%
정 48
 
9.9%
부 46
 
9.5%
시 38
 
7.9%
동 34
 
7.0%
경 33
 
6.8%
로 33
 
6.8%
기 33
 
6.8%
도 33
 
6.8%
길 14
 
2.9%
Other values (44) 122
25.3%
Common
ValueCountFrequency (%)
146
42.8%
1 33
 
9.7%
( 30
 
8.8%
) 30
 
8.8%
2 15
 
4.4%
8 12
 
3.5%
5 11
 
3.2%
, 10
 
2.9%
4 10
 
2.9%
7 10
 
2.9%
Other values (5) 34
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 483
58.6%
ASCII 341
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
42.8%
1 33
 
9.7%
( 30
 
8.8%
) 30
 
8.8%
2 15
 
4.4%
8 12
 
3.5%
5 11
 
3.2%
, 10
 
2.9%
4 10
 
2.9%
7 10
 
2.9%
Other values (5) 34
 
10.0%
Hangul
ValueCountFrequency (%)
의 49
10.1%
정 48
 
9.9%
부 46
 
9.5%
시 38
 
7.9%
동 34
 
7.0%
경 33
 
6.8%
로 33
 
6.8%
기 33
 
6.8%
도 33
 
6.8%
길 14
 
2.9%
Other values (44) 122
25.3%

전화번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T09:08:29.159419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters396
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

Unique33 ?
Unique (%)100.0%

Sample

1st row031-871-3961
2nd row031-848-0157
3rd row031-846-6369
4th row031-844-8194
5th row031-877-1957
ValueCountFrequency (%)
031-871-3961 1
 
3.0%
031-829-4566 1
 
3.0%
031-842-3008 1
 
3.0%
031-826-7788 1
 
3.0%
031-851-1400 1
 
3.0%
031-829-6600 1
 
3.0%
031-874-1207 1
 
3.0%
031-840-8984 1
 
3.0%
031-873-7830 1
 
3.0%
031-826-1579 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T09:08:29.428524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
16.7%
0 55
13.9%
8 54
13.6%
3 52
13.1%
1 51
12.9%
7 30
7.6%
4 23
 
5.8%
6 18
 
4.5%
2 17
 
4.3%
9 16
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
83.3%
Dash Punctuation 66
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
16.7%
8 54
16.4%
3 52
15.8%
1 51
15.5%
7 30
9.1%
4 23
7.0%
6 18
 
5.5%
2 17
 
5.2%
9 16
 
4.8%
5 14
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
16.7%
0 55
13.9%
8 54
13.6%
3 52
13.1%
1 51
12.9%
7 30
7.6%
4 23
 
5.8%
6 18
 
4.5%
2 17
 
4.3%
9 16
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
16.7%
0 55
13.9%
8 54
13.6%
3 52
13.1%
1 51
12.9%
7 30
7.6%
4 23
 
5.8%
6 18
 
4.5%
2 17
 
4.3%
9 16
 
4.0%

품목1
Text

Distinct22
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T09:08:29.580579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length5
Mean length3.8181818
Min length2

Characters and Unicode

Total characters126
Distinct characters66
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)51.5%

Sample

1st row아메리카노
2nd row목욕비
3rd row신사복상하
4th row신사복상하
5th row바지단줄임
ValueCountFrequency (%)
신사복상하 4
 
12.1%
컷트 4
 
12.1%
김치찌개 4
 
12.1%
파마 3
 
9.1%
순두부 2
 
6.1%
백반 1
 
3.0%
아메리카노 1
 
3.0%
된장찌개 1
 
3.0%
순대국 1
 
3.0%
칼국수 1
 
3.0%
Other values (11) 11
33.3%
2023-12-13T09:08:30.022715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
찌 5
 
4.0%
국 5
 
4.0%
사 5
 
4.0%
개 5
 
4.0%
치 5
 
4.0%
신 4
 
3.2%
컷 4
 
3.2%
트 4
 
3.2%
김 4
 
3.2%
하 4
 
3.2%
Other values (56) 81
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
92.9%
Decimal Number 4
 
3.2%
Space Separator 2
 
1.6%
Open Punctuation 1
 
0.8%
Math Symbol 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
찌 5
 
4.3%
국 5
 
4.3%
사 5
 
4.3%
개 5
 
4.3%
치 5
 
4.3%
신 4
 
3.4%
컷 4
 
3.4%
트 4
 
3.4%
김 4
 
3.4%
하 4
 
3.4%
Other values (49) 72
61.5%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
6 1
25.0%
9 1
25.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
92.9%
Common 9
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
찌 5
 
4.3%
국 5
 
4.3%
사 5
 
4.3%
개 5
 
4.3%
치 5
 
4.3%
신 4
 
3.4%
컷 4
 
3.4%
트 4
 
3.4%
김 4
 
3.4%
하 4
 
3.4%
Other values (49) 72
61.5%
Common
ValueCountFrequency (%)
2
22.2%
0 2
22.2%
( 1
11.1%
6 1
11.1%
~ 1
11.1%
9 1
11.1%
) 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
92.9%
ASCII 9
 
7.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
찌 5
 
4.3%
국 5
 
4.3%
사 5
 
4.3%
개 5
 
4.3%
치 5
 
4.3%
신 4
 
3.4%
컷 4
 
3.4%
트 4
 
3.4%
김 4
 
3.4%
하 4
 
3.4%
Other values (49) 72
61.5%
ASCII
ValueCountFrequency (%)
2
22.2%
0 2
22.2%
( 1
11.1%
6 1
11.1%
~ 1
11.1%
9 1
11.1%
) 1
11.1%

가격1(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)42.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7393.9394
Minimum1000
Maximum25000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T09:08:30.111126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile2800
Q15000
median7000
Q38000
95-th percentile17000
Maximum25000
Range24000
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation4658.2547
Coefficient of variation (CV)0.63000986
Kurtosis6.9346352
Mean7393.9394
Median Absolute Deviation (MAD)1500
Skewness2.4056986
Sum244000
Variance21699337
MonotonicityNot monotonic
2023-12-13T09:08:30.190176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7000 8
24.2%
5000 5
15.2%
6000 5
15.2%
8000 3
 
9.1%
4000 2
 
6.1%
10000 2
 
6.1%
2500 1
 
3.0%
3000 1
 
3.0%
25000 1
 
3.0%
15000 1
 
3.0%
Other values (4) 4
12.1%
ValueCountFrequency (%)
1000 1
 
3.0%
2500 1
 
3.0%
3000 1
 
3.0%
4000 2
 
6.1%
5000 5
15.2%
5500 1
 
3.0%
6000 5
15.2%
7000 8
24.2%
8000 3
 
9.1%
9000 1
 
3.0%
ValueCountFrequency (%)
25000 1
 
3.0%
20000 1
 
3.0%
15000 1
 
3.0%
10000 2
 
6.1%
9000 1
 
3.0%
8000 3
 
9.1%
7000 8
24.2%
6000 5
15.2%
5500 1
 
3.0%
5000 5
15.2%

품목2
Text

MISSING 

Distinct20
Distinct (%)87.0%
Missing10
Missing (%)30.3%
Memory size396.0 B
2023-12-13T09:08:30.336843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length3.6956522
Min length2

Characters and Unicode

Total characters85
Distinct characters59
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)73.9%

Sample

1st row카페라떼
2nd row바지단줄임
3rd row바지단줄임
4th row염색
5th row컷트
ValueCountFrequency (%)
파마 2
 
8.7%
바지단줄임 2
 
8.7%
육개장 2
 
8.7%
비빔밥 1
 
4.3%
카페라떼 1
 
4.3%
돌솥비빔밥 1
 
4.3%
떡만두국 1
 
4.3%
소불고기 1
 
4.3%
식사(09~16시 1
 
4.3%
칼국수 1
 
4.3%
Other values (10) 10
43.5%
2023-12-13T09:08:30.587827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
밥 4
 
4.7%
장 4
 
4.7%
국 4
 
4.7%
비 3
 
3.5%
육 3
 
3.5%
개 3
 
3.5%
지 3
 
3.5%
빔 2
 
2.4%
마 2
 
2.4%
제 2
 
2.4%
Other values (49) 55
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78
91.8%
Decimal Number 4
 
4.7%
Close Punctuation 1
 
1.2%
Math Symbol 1
 
1.2%
Open Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
밥 4
 
5.1%
장 4
 
5.1%
국 4
 
5.1%
비 3
 
3.8%
육 3
 
3.8%
개 3
 
3.8%
지 3
 
3.8%
빔 2
 
2.6%
마 2
 
2.6%
제 2
 
2.6%
Other values (42) 48
61.5%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
6 1
25.0%
9 1
25.0%
0 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78
91.8%
Common 7
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
밥 4
 
5.1%
장 4
 
5.1%
국 4
 
5.1%
비 3
 
3.8%
육 3
 
3.8%
개 3
 
3.8%
지 3
 
3.8%
빔 2
 
2.6%
마 2
 
2.6%
제 2
 
2.6%
Other values (42) 48
61.5%
Common
ValueCountFrequency (%)
1 1
14.3%
6 1
14.3%
) 1
14.3%
9 1
14.3%
~ 1
14.3%
0 1
14.3%
( 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78
91.8%
ASCII 7
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
밥 4
 
5.1%
장 4
 
5.1%
국 4
 
5.1%
비 3
 
3.8%
육 3
 
3.8%
개 3
 
3.8%
지 3
 
3.8%
빔 2
 
2.6%
마 2
 
2.6%
제 2
 
2.6%
Other values (42) 48
61.5%
ASCII
ValueCountFrequency (%)
1 1
14.3%
6 1
14.3%
) 1
14.3%
9 1
14.3%
~ 1
14.3%
0 1
14.3%
( 1
14.3%

가격2(원)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct12
Distinct (%)52.2%
Missing10
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean9434.7826
Minimum3000
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T09:08:30.677741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile3000
Q16000
median7000
Q38500
95-th percentile25000
Maximum30000
Range27000
Interquartile range (IQR)2500

Descriptive statistics

Standard deviation7373.6391
Coefficient of variation (CV)0.78153778
Kurtosis2.6858585
Mean9434.7826
Median Absolute Deviation (MAD)1000
Skewness1.8871028
Sum217000
Variance54370553
MonotonicityNot monotonic
2023-12-13T09:08:30.762028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
6000 4
 
12.1%
7000 4
 
12.1%
3000 3
 
9.1%
25000 2
 
6.1%
5000 2
 
6.1%
8000 2
 
6.1%
30000 1
 
3.0%
12000 1
 
3.0%
6500 1
 
3.0%
7500 1
 
3.0%
Other values (2) 2
 
6.1%
(Missing) 10
30.3%
ValueCountFrequency (%)
3000 3
9.1%
5000 2
6.1%
6000 4
12.1%
6500 1
 
3.0%
7000 4
12.1%
7500 1
 
3.0%
8000 2
6.1%
9000 1
 
3.0%
12000 1
 
3.0%
15000 1
 
3.0%
ValueCountFrequency (%)
30000 1
 
3.0%
25000 2
6.1%
15000 1
 
3.0%
12000 1
 
3.0%
9000 1
 
3.0%
8000 2
6.1%
7500 1
 
3.0%
7000 4
12.1%
6500 1
 
3.0%
6000 4
12.1%

위도
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.736141
Minimum37.707191
Maximum37.760215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T09:08:30.861676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.707191
5-th percentile37.708273
Q137.732142
median37.739849
Q337.743608
95-th percentile37.756292
Maximum37.760215
Range0.05302478
Interquartile range (IQR)0.0114656

Descriptive statistics

Standard deviation0.014350061
Coefficient of variation (CV)0.00038027368
Kurtosis0.038606161
Mean37.736141
Median Absolute Deviation (MAD)0.00409236
Skewness-0.80399598
Sum1245.2927
Variance0.00020592426
MonotonicityNot monotonic
2023-12-13T09:08:30.955859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
37.74903612 2
 
6.1%
37.70843327 1
 
3.0%
37.74216228 1
 
3.0%
37.73214214 1
 
3.0%
37.73709702 1
 
3.0%
37.74394117 1
 
3.0%
37.74012663 1
 
3.0%
37.7080315 1
 
3.0%
37.71278287 1
 
3.0%
37.73679319 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
37.70719057 1
3.0%
37.7080315 1
3.0%
37.70843327 1
3.0%
37.70933121 1
3.0%
37.71278287 1
3.0%
37.71440542 1
3.0%
37.72561798 1
3.0%
37.73139279 1
3.0%
37.73214214 1
3.0%
37.73613302 1
3.0%
ValueCountFrequency (%)
37.76021535 1
3.0%
37.75821734 1
3.0%
37.7550089 1
3.0%
37.74903612 2
6.1%
37.74667522 1
3.0%
37.74665828 1
3.0%
37.74394117 1
3.0%
37.74360774 1
3.0%
37.74216228 1
3.0%
37.74187312 1
3.0%

경도
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.0499
Minimum127.02681
Maximum127.09219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T09:08:31.050155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02681
5-th percentile127.03376
Q1127.03994
median127.04844
Q3127.05225
95-th percentile127.08883
Maximum127.09219
Range0.065377
Interquartile range (IQR)0.012309

Descriptive statistics

Standard deviation0.015101887
Coefficient of variation (CV)0.0001188658
Kurtosis2.8979746
Mean127.0499
Median Absolute Deviation (MAD)0.005049
Skewness1.5829321
Sum4192.6467
Variance0.000228067
MonotonicityNot monotonic
2023-12-13T09:08:31.143403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
127.0472397 2
 
6.1%
127.0464527 1
 
3.0%
127.0511165 1
 
3.0%
127.0485727 1
 
3.0%
127.092187 1
 
3.0%
127.02681 1
 
3.0%
127.0500679 1
 
3.0%
127.04629 1
 
3.0%
127.0472174 1
 
3.0%
127.0360903 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
127.02681 1
3.0%
127.0322994 1
3.0%
127.0347324 1
3.0%
127.0359197 1
3.0%
127.0360903 1
3.0%
127.0367441 1
3.0%
127.0370456 1
3.0%
127.0377427 1
3.0%
127.0399361 1
3.0%
127.0433891 1
3.0%
ValueCountFrequency (%)
127.092187 1
3.0%
127.0903295 1
3.0%
127.0878229 1
3.0%
127.0599982 1
3.0%
127.0575986 1
3.0%
127.0567475 1
3.0%
127.0555352 1
3.0%
127.0528783 1
3.0%
127.0522451 1
3.0%
127.0520781 1
3.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
경기도 의정부시
33 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 의정부시
2nd row경기도 의정부시
3rd row경기도 의정부시
4th row경기도 의정부시
5th row경기도 의정부시

Common Values

ValueCountFrequency (%)
경기도 의정부시 33
100.0%

Length

2023-12-13T09:08:31.238219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:08:31.307012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 33
50.0%
의정부시 33
50.0%

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
기업경제과
33 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기업경제과 33
100.0%

Length

2023-12-13T09:08:31.378440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:08:31.444764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기업경제과 33
100.0%

관리부서 전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
031-828-2784
33 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-828-2784
2nd row031-828-2784
3rd row031-828-2784
4th row031-828-2784
5th row031-828-2784

Common Values

ValueCountFrequency (%)
031-828-2784 33
100.0%

Length

2023-12-13T09:08:31.513377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:08:31.584400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-828-2784 33
100.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-01-01
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-01
2nd row2023-01-01
3rd row2023-01-01
4th row2023-01-01
5th row2023-01-01

Common Values

ValueCountFrequency (%)
2023-01-01 33
100.0%

Length

2023-12-13T09:08:31.654714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:08:31.722689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 33
100.0%

Interactions

2023-12-13T09:08:27.253881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:26.533219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:26.774937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:27.013061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:27.314170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:26.590621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:26.831796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:27.070637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:27.377782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:26.646241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:26.888626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:27.129898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:27.446132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:26.712268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:26.946767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:08:27.188262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:08:31.776449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업소명소재지도로명 주소전화번호품목1가격1(원)품목2가격2(원)위도경도
구분1.0001.0001.0001.0001.0000.7901.0000.7840.4550.000
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명 주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
품목11.0001.0001.0001.0001.0000.9310.9820.9290.7000.000
가격1(원)0.7901.0001.0001.0000.9311.0000.9670.7150.5390.000
품목21.0001.0001.0001.0000.9820.9671.0000.0000.8500.000
가격2(원)0.7841.0001.0001.0000.9290.7150.0001.0000.2530.635
위도0.4551.0001.0001.0000.7000.5390.8500.2531.0000.000
경도0.0001.0001.0001.0000.0000.0000.0000.6350.0001.000
2023-12-13T09:08:31.880921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가격1(원)가격2(원)위도경도구분
가격1(원)1.0000.7370.106-0.1630.322
가격2(원)0.7371.000-0.037-0.1750.508
위도0.106-0.0371.000-0.2830.244
경도-0.163-0.175-0.2831.0000.000
구분0.3220.5080.2440.0001.000

Missing values

2023-12-13T09:08:27.567394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:08:27.726140image/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.
2023-12-13T09:08:27.828605image/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

구분업소명소재지도로명 주소전화번호품목1가격1(원)품목2가격2(원)위도경도관리기관명관리부서명관리부서 전화번호데이터 기준일자
0기타외식까만콩경기도 의정부시 평화로 233-1, 나동 1층 (호원동)031-871-3961아메리카노2500카페라떼300037.712783127.047217경기도 의정부시기업경제과031-828-27842023-01-01
1목욕업삼진탕경기도 의정부시 태평로 198 (의정부동)031-848-0157목욕비4000<NA><NA>37.749036127.04724경기도 의정부시기업경제과031-828-27842023-01-01
2세탁업은하수세탁소경기도 의정부시 추동로 12 (신곡동, 은하수아파트)031-846-6369신사복상하5000<NA><NA>37.741109127.057599경기도 의정부시기업경제과031-828-27842023-01-01
3세탁업토탈빨래방경기도 의정부시 추동로19번길 17-14 (신곡동)031-844-8194신사복상하5000<NA><NA>37.743608127.056748경기도 의정부시기업경제과031-828-27842023-01-01
4세탁업백양세탁경기도 의정부시 안말로 88 (호원동)031-877-1957바지단줄임3000<NA><NA>37.714405127.048582경기도 의정부시기업경제과031-828-27842023-01-01
5세탁업동아세탁소경기도 의정부시 장곡로 240, 2층 (장암동)031-875-7779신사복상하5000바지단줄임300037.725618127.052878경기도 의정부시기업경제과031-828-27842023-01-01
6세탁업삼도세탁소경기도 의정부시 장금로 50, 1층 (신곡동)031-841-1105신사복상하5000바지단줄임300037.741873127.059998경기도 의정부시기업경제과031-828-27842023-01-01
7이미용업지오헤어경기도 의정부시 용현로132번길 6 (민락동)031-873-2216파마25000염색2500037.740808127.090329경기도 의정부시기업경제과031-828-27842023-01-01
8이미용업미스터블루컷경기도 의정부시 가능로 80-1 (의정부동)031-873-7027컷트6000<NA><NA>37.746675127.039936경기도 의정부시기업경제과031-828-27842023-01-01
9이미용업샘플남성컷경기도 의정부시 충의로 52 (용현동)031-873-7080컷트8000<NA><NA>37.736637127.087823경기도 의정부시기업경제과031-828-27842023-01-01
구분업소명소재지도로명 주소전화번호품목1가격1(원)품목2가격2(원)위도경도관리기관명관리부서명관리부서 전화번호데이터 기준일자
23한식곰보냉면경기도 의정부시 태평로73번길 20, 나동 46호 (의정부동, 제일시장)031-848-1755냉면7000<NA><NA>37.740127127.050068경기도 의정부시기업경제과031-828-27842023-01-01
24한식일출경기도 의정부시 망월로 17 (호원동)031-826-1579김치찌개7000제육볶음750037.708031127.04629경기도 의정부시기업경제과031-828-27842023-01-01
25한식원도봉산 감자탕경기도 의정부시 망월로 14 (호원동)031-873-7830된장찌개7000비빔밥700037.708433127.046453경기도 의정부시기업경제과031-828-27842023-01-01
26한식기운차림식당경기도 의정부시 시민로157번길 11 (의정부동)031-840-8984백반1000<NA><NA>37.738114127.052245경기도 의정부시기업경제과031-828-27842023-01-01
27한식참멸치국수경기도 의정부시 녹양로 42 (가능동)031-874-1207멸치국수5500칼국수600037.755009127.032299경기도 의정부시기업경제과031-828-27842023-01-01
28한식경기부페경기도 의정부시 녹양로 107 (녹양동)031-829-6600아침식사(06~09시)7000식사(09~16시)800037.760215127.034732경기도 의정부시기업경제과031-828-27842023-01-01
29한식토담경기도 의정부시 둔야로45번길 51 (가능동)031-851-1400간장불고기10000소불고기1500037.739849127.036744경기도 의정부시기업경제과031-828-27842023-01-01
30한식밀가족칼국수경기도 의정부시 장곡로 54 (장암동)031-826-7788칼국수6000떡만두국700037.709331127.051999경기도 의정부시기업경제과031-828-27842023-01-01
31한식무도리순댓국경기도 의정부시 시민로 143번길 76031-842-3008순대국7000선지해장국600037.741111127.051092경기도 의정부시기업경제과031-828-27842023-01-01
32한식명가설렁탕경기도 의정부시 발곡로 5031-878-8884설렁탕8000육개장900037.731393127.055535경기도 의정부시기업경제과031-828-27842023-01-01