Overview

Dataset statistics

Number of variables8
Number of observations43
Missing cells5
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory69.0 B

Variable types

Categorical3
Text3
Numeric2

Dataset

Description부산광역시 기장군 인테리어업체(전문건설업-실내건축공사업) 현황 데이터로, 상호, 업종, 소재지, 위도, 경도, 연락처 등의 정보를 제공합니다.
Author부산광역시 기장군
URLhttps://www.data.go.kr/data/15126486/fileData.do

Alerts

구군명 has constant value ""Constant
업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 5 (11.6%) missing valuesMissing
상호 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:22:27.541849
Analysis finished2024-03-14 10:22:29.199491
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size472.0 B
부산광역시 기장군
43 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 기장군
2nd row부산광역시 기장군
3rd row부산광역시 기장군
4th row부산광역시 기장군
5th row부산광역시 기장군

Common Values

ValueCountFrequency (%)
부산광역시 기장군 43
100.0%

Length

2024-03-14T19:22:29.307314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:22:29.473188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 43
50.0%
기장군 43
50.0%

상호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-03-14T19:22:30.229856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.372093
Min length3

Characters and Unicode

Total characters317
Distinct characters90
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row(주)가감건축
2nd row(주)가이아디자인
3rd row(주)건창이엔씨
4th row(주)나원
5th row(주)동음에스앤디
ValueCountFrequency (%)
주)가감건축 1
 
2.3%
주)흥일토건 1
 
2.3%
동양이엔씨(주 1
 
2.3%
부강건설(주 1
 
2.3%
빌드인주식회사 1
 
2.3%
서주건설(주 1
 
2.3%
성일건설주식회사 1
 
2.3%
연지건설(주 1
 
2.3%
이노플랜디자인 1
 
2.3%
인스디자인 1
 
2.3%
Other values (33) 33
76.7%
2024-03-14T19:22:31.281644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
12.9%
( 31
 
9.8%
) 31
 
9.8%
15
 
4.7%
11
 
3.5%
10
 
3.2%
10
 
3.2%
9
 
2.8%
9
 
2.8%
9
 
2.8%
Other values (80) 141
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 251
79.2%
Open Punctuation 31
 
9.8%
Close Punctuation 31
 
9.8%
Decimal Number 3
 
0.9%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
41
 
16.3%
15
 
6.0%
11
 
4.4%
10
 
4.0%
10
 
4.0%
9
 
3.6%
9
 
3.6%
9
 
3.6%
8
 
3.2%
8
 
3.2%
Other values (74) 121
48.2%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
79.5%
Common 65
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
41
 
16.3%
15
 
6.0%
11
 
4.4%
10
 
4.0%
10
 
4.0%
9
 
3.6%
9
 
3.6%
9
 
3.6%
8
 
3.2%
8
 
3.2%
Other values (75) 122
48.4%
Common
ValueCountFrequency (%)
( 31
47.7%
) 31
47.7%
3 1
 
1.5%
6 1
 
1.5%
5 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 251
79.2%
ASCII 65
 
20.5%
None 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
41
 
16.3%
15
 
6.0%
11
 
4.4%
10
 
4.0%
10
 
4.0%
9
 
3.6%
9
 
3.6%
9
 
3.6%
8
 
3.2%
8
 
3.2%
Other values (74) 121
48.2%
ASCII
ValueCountFrequency (%)
( 31
47.7%
) 31
47.7%
3 1
 
1.5%
6 1
 
1.5%
5 1
 
1.5%
None
ValueCountFrequency (%)
1
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size472.0 B
실내건축공사업
43 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실내건축공사업 43
100.0%

Length

2024-03-14T19:22:31.497965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:22:31.663013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 43
100.0%

소재지
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-03-14T19:22:32.600408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length25.581395
Min length19

Characters and Unicode

Total characters1100
Distinct characters83
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row부산광역시 기장군 기장읍 기장해안로 108 제3층 302호
2nd row부산광역시 기장군 장안읍 고무마을길 8
3rd row부산광역시 기장군 기장읍 반송로 1628 4층(지하포함5층)
4th row부산광역시 기장군 장안읍 월내해안2길 41
5th row부산광역시 기장군 정관읍 정관로 391 503호
ValueCountFrequency (%)
부산광역시 43
17.8%
기장군 43
17.8%
기장읍 18
 
7.4%
장안읍 10
 
4.1%
정관읍 7
 
2.9%
1층 4
 
1.7%
일광면 4
 
1.7%
기장대로 4
 
1.7%
2층 3
 
1.2%
8 3
 
1.2%
Other values (90) 103
42.6%
2024-03-14T19:22:34.048332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
18.1%
80
 
7.3%
68
 
6.2%
51
 
4.6%
50
 
4.5%
45
 
4.1%
45
 
4.1%
43
 
3.9%
43
 
3.9%
35
 
3.2%
Other values (73) 441
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 690
62.7%
Space Separator 199
 
18.1%
Decimal Number 192
 
17.5%
Dash Punctuation 11
 
1.0%
Other Punctuation 3
 
0.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
80
11.6%
68
 
9.9%
51
 
7.4%
50
 
7.2%
45
 
6.5%
45
 
6.5%
43
 
6.2%
43
 
6.2%
35
 
5.1%
34
 
4.9%
Other values (56) 196
28.4%
Decimal Number
ValueCountFrequency (%)
1 35
18.2%
3 34
17.7%
2 28
14.6%
0 20
10.4%
8 18
9.4%
4 15
7.8%
5 14
 
7.3%
6 14
 
7.3%
7 8
 
4.2%
9 6
 
3.1%
Other Punctuation
ValueCountFrequency (%)
2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 690
62.7%
Common 409
37.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
80
11.6%
68
 
9.9%
51
 
7.4%
50
 
7.2%
45
 
6.5%
45
 
6.5%
43
 
6.2%
43
 
6.2%
35
 
5.1%
34
 
4.9%
Other values (56) 196
28.4%
Common
ValueCountFrequency (%)
199
48.7%
1 35
 
8.6%
3 34
 
8.3%
2 28
 
6.8%
0 20
 
4.9%
8 18
 
4.4%
4 15
 
3.7%
5 14
 
3.4%
6 14
 
3.4%
- 11
 
2.7%
Other values (6) 21
 
5.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 690
62.7%
ASCII 408
37.1%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
48.8%
1 35
 
8.6%
3 34
 
8.3%
2 28
 
6.9%
0 20
 
4.9%
8 18
 
4.4%
4 15
 
3.7%
5 14
 
3.4%
6 14
 
3.4%
- 11
 
2.7%
Other values (6) 20
 
4.9%
Hangul
ValueCountFrequency (%)
80
11.6%
68
 
9.9%
51
 
7.4%
50
 
7.2%
45
 
6.5%
45
 
6.5%
43
 
6.2%
43
 
6.2%
35
 
5.1%
34
 
4.9%
Other values (56) 196
28.4%
None
ValueCountFrequency (%)
2
100.0%

위도
Real number (ℝ)

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.279965
Minimum35.187699
Maximum35.377499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-03-14T19:22:34.450026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.187699
5-th percentile35.18865
Q135.239478
median35.304129
Q335.322417
95-th percentile35.357935
Maximum35.377499
Range0.18979985
Interquartile range (IQR)0.082939085

Descriptive statistics

Standard deviation0.05411436
Coefficient of variation (CV)0.0015338553
Kurtosis-1.1266683
Mean35.279965
Median Absolute Deviation (MAD)0.04339256
Skewness-0.17278909
Sum1517.0385
Variance0.002928364
MonotonicityNot monotonic
2024-03-14T19:22:34.880966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
35.26475109 2
 
4.7%
35.18864669 2
 
4.7%
35.18867755 1
 
2.3%
35.30543957 1
 
2.3%
35.2413139 1
 
2.3%
35.2395497 1
 
2.3%
35.32893715 1
 
2.3%
35.30588493 1
 
2.3%
35.23940624 1
 
2.3%
35.32559037 1
 
2.3%
Other values (31) 31
72.1%
ValueCountFrequency (%)
35.18769905 1
2.3%
35.18864669 2
4.7%
35.18867755 1
2.3%
35.20405658 1
2.3%
35.20441037 1
2.3%
35.2231652 1
2.3%
35.22704934 1
2.3%
35.23707566 1
2.3%
35.23750712 1
2.3%
35.23940624 1
2.3%
ValueCountFrequency (%)
35.3774989 1
2.3%
35.36864152 1
2.3%
35.35909221 1
2.3%
35.34752188 1
2.3%
35.33449336 1
2.3%
35.33351599 1
2.3%
35.32928368 1
2.3%
35.32893715 1
2.3%
35.32686208 1
2.3%
35.32559037 1
2.3%

경도
Real number (ℝ)

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.21509
Minimum129.11066
Maximum129.2852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size515.0 B
2024-03-14T19:22:35.280124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.11066
5-th percentile129.11738
Q1129.20504
median129.21579
Q3129.23432
95-th percentile129.27972
Maximum129.2852
Range0.174542
Interquartile range (IQR)0.0292762

Descriptive statistics

Standard deviation0.0409706
Coefficient of variation (CV)0.00031707287
Kurtosis1.2228185
Mean129.21509
Median Absolute Deviation (MAD)0.0176157
Skewness-0.78375647
Sum5556.249
Variance0.0016785901
MonotonicityNot monotonic
2024-03-14T19:22:35.696519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
129.233404 2
 
4.7%
129.2158148 2
 
4.7%
129.2127409 1
 
2.3%
129.1106623 1
 
2.3%
129.2157883 1
 
2.3%
129.2155422 1
 
2.3%
129.2852043 1
 
2.3%
129.1112402 1
 
2.3%
129.2217255 1
 
2.3%
129.1905114 1
 
2.3%
Other values (31) 31
72.1%
ValueCountFrequency (%)
129.1106623 1
2.3%
129.1112402 1
2.3%
129.1119968 1
2.3%
129.1658161 1
2.3%
129.174932 1
2.3%
129.1755791 1
2.3%
129.1785262 1
2.3%
129.1819762 1
2.3%
129.1871712 1
2.3%
129.1905114 1
2.3%
ValueCountFrequency (%)
129.2852043 1
2.3%
129.2831311 1
2.3%
129.2802992 1
2.3%
129.2745148 1
2.3%
129.2630896 1
2.3%
129.2597934 1
2.3%
129.2578117 1
2.3%
129.2551989 1
2.3%
129.2444682 1
2.3%
129.243064 1
2.3%

전화번호
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing5
Missing (%)11.6%
Memory size472.0 B
2024-03-14T19:22:36.571591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters456
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

Unique38 ?
Unique (%)100.0%

Sample

1st row051-987-2880
2nd row051-728-8400
3rd row051-723-2247
4th row051-518-4894
5th row051-723-1156
ValueCountFrequency (%)
051-971-0023 1
 
2.6%
051-361-3192 1
 
2.6%
054-773-8331 1
 
2.6%
051-728-7664 1
 
2.6%
055-381-0190 1
 
2.6%
051-555-5016 1
 
2.6%
051-246-0556 1
 
2.6%
051-988-5646 1
 
2.6%
051-864-0887 1
 
2.6%
051-924-3288 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T19:22:37.838015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
16.7%
0 65
14.3%
5 59
12.9%
1 57
12.5%
7 49
10.7%
2 36
7.9%
8 30
 
6.6%
6 26
 
5.7%
3 24
 
5.3%
4 22
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 380
83.3%
Dash Punctuation 76
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 65
17.1%
5 59
15.5%
1 57
15.0%
7 49
12.9%
2 36
9.5%
8 30
7.9%
6 26
 
6.8%
3 24
 
6.3%
4 22
 
5.8%
9 12
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
16.7%
0 65
14.3%
5 59
12.9%
1 57
12.5%
7 49
10.7%
2 36
7.9%
8 30
 
6.6%
6 26
 
5.7%
3 24
 
5.3%
4 22
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
16.7%
0 65
14.3%
5 59
12.9%
1 57
12.5%
7 49
10.7%
2 36
7.9%
8 30
 
6.6%
6 26
 
5.7%
3 24
 
5.3%
4 22
 
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size472.0 B
2024-01-25
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-25
2nd row2024-01-25
3rd row2024-01-25
4th row2024-01-25
5th row2024-01-25

Common Values

ValueCountFrequency (%)
2024-01-25 43
100.0%

Length

2024-03-14T19:22:38.242552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:22:38.550700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-25 43
100.0%

Interactions

2024-03-14T19:22:28.428850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:22:27.905522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:22:28.695946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:22:28.169017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:22:38.745080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호소재지위도경도전화번호
상호1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
위도1.0001.0001.0000.6911.000
경도1.0001.0000.6911.0001.000
전화번호1.0001.0001.0001.0001.000
2024-03-14T19:22:39.001884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.250
경도0.2501.000

Missing values

2024-03-14T19:22:28.900574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:22:29.114915image/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

구군명상호업종소재지위도경도전화번호데이터기준일자
0부산광역시 기장군(주)가감건축실내건축공사업부산광역시 기장군 기장읍 기장해안로 108 제3층 302호35.188678129.212741051-987-28802024-01-25
1부산광역시 기장군(주)가이아디자인실내건축공사업부산광역시 기장군 장안읍 고무마을길 835.347522129.26309051-728-84002024-01-25
2부산광역시 기장군(주)건창이엔씨실내건축공사업부산광역시 기장군 기장읍 반송로 1628 4층(지하포함5층)35.250619129.216345051-723-22472024-01-25
3부산광역시 기장군(주)나원실내건축공사업부산광역시 기장군 장안읍 월내해안2길 4135.326862129.280299051-518-48942024-01-25
4부산광역시 기장군(주)동음에스앤디실내건축공사업부산광역시 기장군 정관읍 정관로 391 503호35.334493129.165816051-723-11562024-01-25
5부산광역시 기장군(주)두산산업개발실내건축공사업부산광역시 기장군 장안읍 기장대로 212235.377499129.259793051-727-37772024-01-25
6부산광역시 기장군(주)디아이시실내건축공사업부산광역시 기장군 일광면 일광로 94, 2층202호35.264751129.233404<NA>2024-01-25
7부산광역시 기장군(주)로젠산업실내건축공사업부산광역시 기장군 정관읍 정관산업로 112335.315323129.174932051-907-77362024-01-25
8부산광역시 기장군(주)샘터건설실내건축공사업부산광역시 기장군 일광면 일광로 94 203호35.264751129.233404051-973-96672024-01-25
9부산광역시 기장군(주)스톤핸지실내건축공사업부산광역시 기장군 장안읍 좌천시장1길 17-2035.308548129.243064<NA>2024-01-25
구군명상호업종소재지위도경도전화번호데이터기준일자
33부산광역시 기장군주식회사동연실내건축공사업부산광역시 기장군 기장읍 차성로 451번길 46-2835.257985129.214433051-532-47282024-01-25
34부산광역시 기장군주식회사수테크실내건축공사업부산광역시 기장군 철마면 두송길 3 3호35.30544129.110662051-582-88582024-01-25
35부산광역시 기장군주식회사에스디자인실내건축공사업부산광역시 기장군 기장읍 기장대로 82-8 303동 107호35.204057129.207171051-742-04872024-01-25
36부산광역시 기장군주식회사우정건설산업실내건축공사업부산광역시 기장군 장안읍 명례산단3로 13-2835.368642129.255199<NA>2024-01-25
37부산광역시 기장군주식회사유성건업실내건축공사업부산광역시 기장군 기장읍 기장해안로 9835.187699129.212342051-724-06122024-01-25
38부산광역시 기장군주식회사컴포즈커피실내건축공사업부산광역시 기장군 기장읍 대변3길 1135.223165129.231346<NA>2024-01-25
39부산광역시 기장군주식회사현재건설산업실내건축공사업부산광역시 기장군 정관읍 구연2로 8 1층 B호35.321032129.181976051-728-31682024-01-25
40부산광역시 기장군케이코텍(주)실내건축공사업부산광역시 기장군 정관읍 산단7로 8-2035.320138129.203134051-728-60902024-01-25
41부산광역시 기장군토양건축(주)실내건축공사업부산광역시 기장군 장안읍 장곡길 166-1 109호35.309056129.244468051-924-32882024-01-25
42부산광역시 기장군해조건설(주)실내건축공사업부산광역시 기장군 장안읍 길천2길 3 지하1층35.329284129.283131051-702-33242024-01-25