Overview

Dataset statistics

Number of variables20
Number of observations31
Missing cells262
Missing cells (%)42.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory176.3 B

Variable types

Text6
Numeric4
Unsupported8
Categorical2

Alerts

영업상태명 has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
문화체육업종명 is highly imbalanced (79.4%)Imbalance
인허가취소일자 has 31 (100.0%) missing valuesMissing
영업상태구분코드 has 31 (100.0%) missing valuesMissing
소재지시설전화번호 has 31 (100.0%) missing valuesMissing
소재지면적정보 has 31 (100.0%) missing valuesMissing
도로명우편번호 has 31 (100.0%) missing valuesMissing
소재지도로명주소 has 5 (16.1%) missing valuesMissing
소재지우편번호 has 1 (3.2%) missing valuesMissing
WGS84위도 has 4 (12.9%) missing valuesMissing
WGS84경도 has 4 (12.9%) missing valuesMissing
업태구분명정보 has 31 (100.0%) missing valuesMissing
X좌표값 has 31 (100.0%) missing valuesMissing
Y좌표값 has 31 (100.0%) missing valuesMissing
시군명 has unique valuesUnique
사업장명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
법인명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업상태구분코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지시설전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
도로명우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
X좌표값 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Y좌표값 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:01:32.960097
Analysis finished2023-12-10 22:01:35.248470
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T07:01:35.384002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Characters and Unicode

Total characters96
Distinct characters38
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

Unique31 ?
Unique (%)100.0%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시
ValueCountFrequency (%)
가평군 1
 
3.2%
안양시 1
 
3.2%
하남시 1
 
3.2%
포천시 1
 
3.2%
평택시 1
 
3.2%
파주시 1
 
3.2%
이천시 1
 
3.2%
의정부시 1
 
3.2%
의왕시 1
 
3.2%
용인시 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T07:01:35.665830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 28
29.2%
천 6
 
6.2%
군 5
 
5.2%
양 5
 
5.2%
주 5
 
5.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 28
29.2%
천 6
 
6.2%
군 5
 
5.2%
양 5
 
5.2%
주 5
 
5.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 28
29.2%
천 6
 
6.2%
군 5
 
5.2%
양 5
 
5.2%
주 5
 
5.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 28
29.2%
천 6
 
6.2%
군 5
 
5.2%
양 5
 
5.2%
주 5
 
5.2%
성 3
 
3.1%
포 3
 
3.1%
안 3
 
3.1%
평 3
 
3.1%
남 3
 
3.1%
Other values (28) 32
33.3%

사업장명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T07:01:35.861293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0967742
Min length5

Characters and Unicode

Total characters158
Distinct characters39
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

Unique31 ?
Unique (%)100.0%

Sample

1st row가평문화원
2nd row고양문화원
3rd row과천문화원
4th row광명문화원
5th row광주문화원
ValueCountFrequency (%)
가평문화원 1
 
3.2%
안양문화원 1
 
3.2%
하남문화원 1
 
3.2%
포천문화원 1
 
3.2%
평택문화원 1
 
3.2%
파주문화원 1
 
3.2%
이천문화원 1
 
3.2%
의정부문화원 1
 
3.2%
의왕문화원 1
 
3.2%
용인문화원 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T07:01:36.151369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 32
20.3%
원 32
20.3%
문 31
19.6%
천 6
 
3.8%
주 5
 
3.2%
양 5
 
3.2%
안 3
 
1.9%
포 3
 
1.9%
성 3
 
1.9%
남 3
 
1.9%
Other values (29) 35
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 32
20.3%
원 32
20.3%
문 31
19.6%
천 6
 
3.8%
주 5
 
3.2%
양 5
 
3.2%
안 3
 
1.9%
포 3
 
1.9%
성 3
 
1.9%
남 3
 
1.9%
Other values (29) 35
22.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 32
20.3%
원 32
20.3%
문 31
19.6%
천 6
 
3.8%
주 5
 
3.2%
양 5
 
3.2%
안 3
 
1.9%
포 3
 
1.9%
성 3
 
1.9%
남 3
 
1.9%
Other values (29) 35
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 32
20.3%
원 32
20.3%
문 31
19.6%
천 6
 
3.8%
주 5
 
3.2%
양 5
 
3.2%
안 3
 
1.9%
포 3
 
1.9%
성 3
 
1.9%
남 3
 
1.9%
Other values (29) 35
22.2%

인허가일자
Real number (ℝ)

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19810666
Minimum19570413
Maximum19990813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T07:01:36.271396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19570413
5-th percentile19641017
Q119685822
median19860712
Q319910478
95-th percentile19960910
Maximum19990813
Range420400
Interquartile range (IQR)224656.5

Descriptive statistics

Standard deviation122919.36
Coefficient of variation (CV)0.0062047064
Kurtosis-1.2689671
Mean19810666
Median Absolute Deviation (MAD)80007
Skewness-0.39163118
Sum6.1413064 × 108
Variance1.510917 × 1010
MonotonicityNot monotonic
2023-12-11T07:01:36.379620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
19650510 2
 
6.5%
19720515 1
 
3.2%
19650205 1
 
3.2%
19960611 1
 
3.2%
19860712 1
 
3.2%
19721211 1
 
3.2%
19671217 1
 
3.2%
19891223 1
 
3.2%
19990813 1
 
3.2%
19570413 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
19570413 1
3.2%
19641013 1
3.2%
19641021 1
3.2%
19650205 1
3.2%
19650510 2
6.5%
19661030 1
3.2%
19671217 1
3.2%
19700427 1
3.2%
19720515 1
3.2%
19721211 1
3.2%
ValueCountFrequency (%)
19990813 1
3.2%
19961210 1
3.2%
19960611 1
3.2%
19941004 1
3.2%
19940616 1
3.2%
19940421 1
3.2%
19920410 1
3.2%
19910629 1
3.2%
19910328 1
3.2%
19891223 1
3.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

영업상태구분코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
운영중
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 31
100.0%

Length

2023-12-11T07:01:36.498734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:01:36.588885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 31
100.0%

소재지시설전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

소재지도로명주소
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing5
Missing (%)16.1%
Memory size380.0 B
2023-12-11T07:01:36.817211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length24.423077
Min length19

Characters and Unicode

Total characters635
Distinct characters120
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

Unique26 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 문화로 131
2nd row경기도 고양시 덕양구 고양시청로 10, 3층 (주교동,0)
3rd row경기도 광명시 철망산로 42 (하안동,0)
4th row경기도 광주시 문화로85번길 19-12 (경안동)
5th row경기도 구리시 동구릉로223번길 5 (인창동)
ValueCountFrequency (%)
경기도 26
 
18.3%
3층 3
 
2.1%
문화로 2
 
1.4%
중앙로 2
 
1.4%
연천군 1
 
0.7%
23 1
 
0.7%
백운로 1
 
0.7%
의왕시 1
 
0.7%
삼가동,0 1
 
0.7%
1199 1
 
0.7%
Other values (103) 103
72.5%
2023-12-11T07:01:37.193866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
18.6%
경 29
 
4.6%
로 27
 
4.3%
시 27
 
4.3%
도 26
 
4.1%
기 26
 
4.1%
동 23
 
3.6%
( 22
 
3.5%
) 22
 
3.5%
2 19
 
3.0%
Other values (110) 296
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
58.6%
Space Separator 118
 
18.6%
Decimal Number 89
 
14.0%
Open Punctuation 22
 
3.5%
Close Punctuation 22
 
3.5%
Other Punctuation 10
 
1.6%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 29
 
7.8%
로 27
 
7.3%
시 27
 
7.3%
도 26
 
7.0%
기 26
 
7.0%
동 23
 
6.2%
구 9
 
2.4%
안 8
 
2.2%
양 7
 
1.9%
산 7
 
1.9%
Other values (95) 183
49.2%
Decimal Number
ValueCountFrequency (%)
2 19
21.3%
3 14
15.7%
1 13
14.6%
0 10
11.2%
9 7
 
7.9%
4 6
 
6.7%
5 6
 
6.7%
7 5
 
5.6%
8 5
 
5.6%
6 4
 
4.5%
Space Separator
ValueCountFrequency (%)
118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
58.6%
Common 263
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 29
 
7.8%
로 27
 
7.3%
시 27
 
7.3%
도 26
 
7.0%
기 26
 
7.0%
동 23
 
6.2%
구 9
 
2.4%
안 8
 
2.2%
양 7
 
1.9%
산 7
 
1.9%
Other values (95) 183
49.2%
Common
ValueCountFrequency (%)
118
44.9%
( 22
 
8.4%
) 22
 
8.4%
2 19
 
7.2%
3 14
 
5.3%
1 13
 
4.9%
0 10
 
3.8%
, 10
 
3.8%
9 7
 
2.7%
4 6
 
2.3%
Other values (5) 22
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
58.6%
ASCII 263
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
44.9%
( 22
 
8.4%
) 22
 
8.4%
2 19
 
7.2%
3 14
 
5.3%
1 13
 
4.9%
0 10
 
3.8%
, 10
 
3.8%
9 7
 
2.7%
4 6
 
2.3%
Other values (5) 22
 
8.4%
Hangul
ValueCountFrequency (%)
경 29
 
7.8%
로 27
 
7.3%
시 27
 
7.3%
도 26
 
7.0%
기 26
 
7.0%
동 23
 
6.2%
구 9
 
2.4%
안 8
 
2.2%
양 7
 
1.9%
산 7
 
1.9%
Other values (95) 183
49.2%

소재지지번주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T07:01:37.472861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length22.096774
Min length16

Characters and Unicode

Total characters685
Distinct characters108
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 가평읍 대곡리 337번지
2nd row경기도 고양시 덕양구 주교동 600번지
3rd row경기도 과천시 별양동 45번지
4th row경기도 광명시 하안동 산 22번지
5th row경기도 광주시 경안동 157번지 26호
ValueCountFrequency (%)
경기도 31
 
18.3%
1호 8
 
4.7%
산 3
 
1.8%
2층 3
 
1.8%
5호 2
 
1.2%
광적면 1
 
0.6%
가납리 1
 
0.6%
472번지 1
 
0.6%
삼가동 1
 
0.6%
처인구 1
 
0.6%
Other values (117) 117
69.2%
2023-12-11T07:01:37.895949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
20.1%
경 32
 
4.7%
번 31
 
4.5%
도 31
 
4.5%
기 31
 
4.5%
지 31
 
4.5%
시 30
 
4.4%
동 25
 
3.6%
1 18
 
2.6%
호 18
 
2.6%
Other values (98) 300
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
63.2%
Space Separator 138
 
20.1%
Decimal Number 114
 
16.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 32
 
7.4%
번 31
 
7.2%
도 31
 
7.2%
기 31
 
7.2%
지 31
 
7.2%
시 30
 
6.9%
동 25
 
5.8%
호 18
 
4.2%
양 11
 
2.5%
리 8
 
1.8%
Other values (87) 185
42.7%
Decimal Number
ValueCountFrequency (%)
1 18
15.8%
2 17
14.9%
5 15
13.2%
3 14
12.3%
7 13
11.4%
6 11
9.6%
4 10
8.8%
8 7
 
6.1%
0 5
 
4.4%
9 4
 
3.5%
Space Separator
ValueCountFrequency (%)
138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
63.2%
Common 252
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 32
 
7.4%
번 31
 
7.2%
도 31
 
7.2%
기 31
 
7.2%
지 31
 
7.2%
시 30
 
6.9%
동 25
 
5.8%
호 18
 
4.2%
양 11
 
2.5%
리 8
 
1.8%
Other values (87) 185
42.7%
Common
ValueCountFrequency (%)
138
54.8%
1 18
 
7.1%
2 17
 
6.7%
5 15
 
6.0%
3 14
 
5.6%
7 13
 
5.2%
6 11
 
4.4%
4 10
 
4.0%
8 7
 
2.8%
0 5
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
63.2%
ASCII 252
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
138
54.8%
1 18
 
7.1%
2 17
 
6.7%
5 15
 
6.0%
3 14
 
5.6%
7 13
 
5.2%
6 11
 
4.4%
4 10
 
4.0%
8 7
 
2.8%
0 5
 
2.0%
Hangul
ValueCountFrequency (%)
경 32
 
7.4%
번 31
 
7.2%
도 31
 
7.2%
기 31
 
7.2%
지 31
 
7.2%
시 30
 
6.9%
동 25
 
5.8%
호 18
 
4.2%
양 11
 
2.5%
리 8
 
1.8%
Other values (87) 185
42.7%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct30
Distinct (%)100.0%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean14015.1
Minimum10110
Maximum18592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T07:01:38.035486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10110
5-th percentile10708.85
Q111991.25
median13588.5
Q316017.5
95-th percentile18030.25
Maximum18592
Range8482
Interquartile range (IQR)4026.25

Descriptive statistics

Standard deviation2521.771
Coefficient of variation (CV)0.17993243
Kurtosis-1.1396901
Mean14015.1
Median Absolute Deviation (MAD)2083
Skewness0.31175871
Sum420453
Variance6359329.2
MonotonicityNot monotonic
2023-12-11T07:01:38.148743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
12416 1
 
3.2%
14089 1
 
3.2%
18592 1
 
3.2%
12977 1
 
3.2%
11147 1
 
3.2%
17901 1
 
3.2%
17371 1
 
3.2%
11780 1
 
3.2%
16065 1
 
3.2%
17019 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
10110 1
3.2%
10460 1
3.2%
11013 1
3.2%
11147 1
3.2%
11340 1
3.2%
11419 1
3.2%
11780 1
3.2%
11910 1
3.2%
12235 1
3.2%
12416 1
3.2%
ValueCountFrequency (%)
18592 1
3.2%
18136 1
3.2%
17901 1
3.2%
17508 1
3.2%
17371 1
3.2%
17019 1
3.2%
16444 1
3.2%
16065 1
3.2%
15875 1
3.2%
15585 1
3.2%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct27
Distinct (%)100.0%
Missing4
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean37.478421
Minimum36.991121
Maximum38.106317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T07:01:38.274437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.991121
5-th percentile37.050559
Q137.289882
median37.423961
Q337.645738
95-th percentile37.90216
Maximum38.106317
Range1.1151953
Interquartile range (IQR)0.3558562

Descriptive statistics

Standard deviation0.2814377
Coefficient of variation (CV)0.0075093265
Kurtosis-0.36372442
Mean37.478421
Median Absolute Deviation (MAD)0.19321761
Skewness0.33813496
Sum1011.9174
Variance0.079207181
MonotonicityNot monotonic
2023-12-11T07:01:38.381932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
37.6584112959 1
 
3.2%
37.1326492344 1
 
3.2%
37.8947557476 1
 
3.2%
36.9911212708 1
 
3.2%
37.2804372651 1
 
3.2%
37.746405207 1
 
3.2%
37.3521649674 1
 
3.2%
37.2406392886 1
 
3.2%
37.1539194566 1
 
3.2%
38.1063165987 1
 
3.2%
Other values (17) 17
54.8%
(Missing) 4
 
12.9%
ValueCountFrequency (%)
36.9911212708 1
3.2%
37.0153775952 1
3.2%
37.1326492344 1
3.2%
37.1539194566 1
3.2%
37.2406392886 1
3.2%
37.2735973684 1
3.2%
37.2804372651 1
3.2%
37.2993271589 1
3.2%
37.3464415503 1
3.2%
37.3521649674 1
3.2%
ValueCountFrequency (%)
38.1063165987 1
3.2%
37.9053331012 1
3.2%
37.8947557476 1
3.2%
37.8242546008 1
3.2%
37.8222267141 1
3.2%
37.746405207 1
3.2%
37.6584112959 1
3.2%
37.6330655288 1
3.2%
37.6187116065 1
3.2%
37.6171786703 1
3.2%

WGS84경도
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing4
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean127.05115
Minimum126.71806
Maximum127.50667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-11T07:01:38.487023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.71806
5-th percentile126.77762
Q1126.92304
median127.04308
Q3127.16002
95-th percentile127.41293
Maximum127.50667
Range0.78860843
Interquartile range (IQR)0.23697315

Descriptive statistics

Standard deviation0.19563549
Coefficient of variation (CV)0.0015398168
Kurtosis0.11078871
Mean127.05115
Median Absolute Deviation (MAD)0.12282557
Skewness0.50443741
Sum3430.381
Variance0.038273243
MonotonicityNot monotonic
2023-12-11T07:01:38.602877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
126.8319654608 1
 
3.2%
126.9202541814 1
 
3.2%
127.2016131012 1
 
3.2%
127.1140767512 1
 
3.2%
127.4517644395 1
 
3.2%
127.0794050381 1
 
3.2%
126.9822974283 1
 
3.2%
127.1792040872 1
 
3.2%
127.0690622133 1
 
3.2%
127.0786045596 1
 
3.2%
Other values (17) 17
54.8%
(Missing) 4
 
12.9%
ValueCountFrequency (%)
126.7180615692 1
3.2%
126.7659873506 1
3.2%
126.804764366 1
3.2%
126.8319654608 1
3.2%
126.8476224322 1
3.2%
126.8732253548 1
3.2%
126.9202541814 1
3.2%
126.9258325076 1
3.2%
126.9426965716 1
3.2%
126.9822974283 1
3.2%
ValueCountFrequency (%)
127.5066699979 1
3.2%
127.4517644395 1
3.2%
127.3223098043 1
3.2%
127.2494127634 1
3.2%
127.2016131012 1
3.2%
127.1980498161 1
3.2%
127.1792040872 1
3.2%
127.1408289027 1
3.2%
127.1387086659 1
3.2%
127.1140767512 1
3.2%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

X좌표값
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

Y좌표값
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
문화(사단)
30 
문화(재단)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row문화(재단)
2nd row문화(사단)
3rd row문화(사단)
4th row문화(사단)
5th row문화(사단)

Common Values

ValueCountFrequency (%)
문화(사단) 30
96.8%
문화(재단) 1
 
3.2%

Length

2023-12-11T07:01:38.734431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:01:38.816997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화(사단 30
96.8%
문화(재단 1
 
3.2%

법인설립목적
Text

Distinct27
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T07:01:39.012285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length163
Median length28
Mean length25.16129
Min length1

Characters and Unicode

Total characters780
Distinct characters126
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)80.6%

Sample

1st row지역문화발전 계승과 지역역사의 계발 및 문화진흥
2nd row지역문화의 계발 및 문화진흥
3rd row지역문화예술센터 사업, 추사연구사업 등
4th row문화탐방 및 향토사보급사업, 문화교육사업 실시
5th rowㅡ
ValueCountFrequency (%)
및 17
 
10.1%
등 7
 
4.1%
계발 6
 
3.6%
지역문화의 6
 
3.6%
사업 5
 
3.0%
운영 5
 
3.0%
문화진흥 5
 
3.0%
ㅡ 4
 
2.4%
개최 4
 
2.4%
보존 3
 
1.8%
Other values (92) 107
63.3%
2023-12-11T07:01:39.725113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
 
17.8%
문 52
 
6.7%
화 52
 
6.7%
사 39
 
5.0%
, 36
 
4.6%
지 23
 
2.9%
역 21
 
2.7%
발 18
 
2.3%
및 17
 
2.2%
전 15
 
1.9%
Other values (116) 368
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 601
77.1%
Space Separator 139
 
17.8%
Other Punctuation 39
 
5.0%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 52
 
8.7%
화 52
 
8.7%
사 39
 
6.5%
지 23
 
3.8%
역 21
 
3.5%
발 18
 
3.0%
및 17
 
2.8%
전 15
 
2.5%
업 15
 
2.5%
의 14
 
2.3%
Other values (112) 335
55.7%
Other Punctuation
ValueCountFrequency (%)
, 36
92.3%
· 3
 
7.7%
Space Separator
ValueCountFrequency (%)
139
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 601
77.1%
Common 179
 
22.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 52
 
8.7%
화 52
 
8.7%
사 39
 
6.5%
지 23
 
3.8%
역 21
 
3.5%
발 18
 
3.0%
및 17
 
2.8%
전 15
 
2.5%
업 15
 
2.5%
의 14
 
2.3%
Other values (112) 335
55.7%
Common
ValueCountFrequency (%)
139
77.7%
, 36
 
20.1%
· 3
 
1.7%
5 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 597
76.5%
ASCII 176
 
22.6%
Compat Jamo 4
 
0.5%
None 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
79.0%
, 36
 
20.5%
5 1
 
0.6%
Hangul
ValueCountFrequency (%)
문 52
 
8.7%
화 52
 
8.7%
사 39
 
6.5%
지 23
 
3.9%
역 21
 
3.5%
발 18
 
3.0%
및 17
 
2.8%
전 15
 
2.5%
업 15
 
2.5%
의 14
 
2.3%
Other values (111) 331
55.4%
Compat Jamo
ValueCountFrequency (%)
ㅡ 4
100.0%
None
ValueCountFrequency (%)
· 3
100.0%

법인명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T07:01:40.004447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0967742
Min length5

Characters and Unicode

Total characters158
Distinct characters39
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

Unique31 ?
Unique (%)100.0%

Sample

1st row가평문화원
2nd row고양문화원
3rd row과천문화원
4th row광명문화원
5th row광주문화원
ValueCountFrequency (%)
가평문화원 1
 
3.2%
안양문화원 1
 
3.2%
하남문화원 1
 
3.2%
포천문화원 1
 
3.2%
평택문화원 1
 
3.2%
파주문화원 1
 
3.2%
이천문화원 1
 
3.2%
의정부문화원 1
 
3.2%
의왕문화원 1
 
3.2%
용인문화원 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T07:01:40.344460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 32
20.3%
원 32
20.3%
문 31
19.6%
천 6
 
3.8%
주 5
 
3.2%
양 5
 
3.2%
안 3
 
1.9%
포 3
 
1.9%
성 3
 
1.9%
남 3
 
1.9%
Other values (29) 35
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 32
20.3%
원 32
20.3%
문 31
19.6%
천 6
 
3.8%
주 5
 
3.2%
양 5
 
3.2%
안 3
 
1.9%
포 3
 
1.9%
성 3
 
1.9%
남 3
 
1.9%
Other values (29) 35
22.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 32
20.3%
원 32
20.3%
문 31
19.6%
천 6
 
3.8%
주 5
 
3.2%
양 5
 
3.2%
안 3
 
1.9%
포 3
 
1.9%
성 3
 
1.9%
남 3
 
1.9%
Other values (29) 35
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 32
20.3%
원 32
20.3%
문 31
19.6%
천 6
 
3.8%
주 5
 
3.2%
양 5
 
3.2%
안 3
 
1.9%
포 3
 
1.9%
성 3
 
1.9%
남 3
 
1.9%
Other values (29) 35
22.2%

Interactions

2023-12-11T07:01:34.502275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:33.504499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:33.882623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:34.180405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:34.577480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:33.596965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:33.956581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:34.265476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:34.650434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:33.672090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:34.022729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:34.346123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:34.724990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:33.781007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:34.095513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:01:34.417349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:01:40.460318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명사업장명인허가일자소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도문화체육업종명법인설립목적법인명
시군명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사업장명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인허가일자1.0001.0001.0001.0001.0000.5410.0000.0000.0000.8591.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호1.0001.0000.5411.0001.0001.0000.6150.4460.0000.0001.000
WGS84위도1.0001.0000.0001.0001.0000.6151.0000.0000.6080.9491.000
WGS84경도1.0001.0000.0001.0001.0000.4460.0001.0000.5100.7961.000
문화체육업종명1.0001.0000.0001.0001.0000.0000.6080.5101.0001.0001.000
법인설립목적1.0001.0000.8591.0001.0000.0000.9490.7961.0001.0001.000
법인명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T07:01:40.613467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자소재지우편번호WGS84위도WGS84경도문화체육업종명
인허가일자1.000-0.1540.289-0.1600.000
소재지우편번호-0.1541.000-0.9230.0610.000
WGS84위도0.289-0.9231.0000.0160.374
WGS84경도-0.1600.0610.0161.0000.424
문화체육업종명0.0000.0000.3740.4241.000

Missing values

2023-12-11T07:01:34.860079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:01:35.060703image/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.
2023-12-11T07:01:35.187239image/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

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명법인설립목적법인명
0가평군가평문화원19861222<NA><NA>운영중<NA><NA><NA>경기도 가평군 가평읍 문화로 131경기도 가평군 가평읍 대곡리 337번지1241637.824255127.50667<NA><NA><NA>문화(재단)지역문화발전 계승과 지역역사의 계발 및 문화진흥가평문화원
1고양시고양문화원19840223<NA><NA>운영중<NA><NA><NA>경기도 고양시 덕양구 고양시청로 10, 3층 (주교동,0)경기도 고양시 덕양구 주교동 600번지1046037.658411126.831965<NA><NA><NA>문화(사단)지역문화의 계발 및 문화진흥고양문화원
2과천시과천문화원19910328<NA><NA>운영중<NA><NA><NA><NA>경기도 과천시 별양동 45번지1383437.423961126.997298<NA><NA><NA>문화(사단)지역문화예술센터 사업, 추사연구사업 등과천문화원
3광명시광명문화원19920410<NA><NA>운영중<NA><NA><NA>경기도 광명시 철망산로 42 (하안동,0)경기도 광명시 하안동 산 22번지1424537.467436126.873225<NA><NA><NA>문화(사단)문화탐방 및 향토사보급사업, 문화교육사업 실시광명문화원
4광주시광주문화원19870116<NA><NA>운영중<NA><NA><NA>경기도 광주시 문화로85번길 19-12 (경안동)경기도 광주시 경안동 157번지 26호1276237.410009127.249413<NA><NA><NA>문화(사단)ㅡ광주문화원
5구리시구리문화원19910629<NA><NA>운영중<NA><NA><NA>경기도 구리시 동구릉로223번길 5 (인창동)경기도 구리시 인창동 56번지 36호1191037.618712127.138709<NA><NA><NA>문화(사단)지역문화의 계발 연구조사 및 문화진흥구리문화원
6군포시군포문화원19940421<NA><NA>운영중<NA><NA><NA>경기도 군포시 고산로 265 (당동)경기도 군포시 당동 871번지1587537.346442126.942697<NA><NA><NA>문화(사단)지역문화의 계발, 연구, 조사 및 향토문화예술진흥군포문화원
7김포시김포문화원19641013<NA><NA>운영중<NA><NA><NA>경기도 김포시 사우중로 26 (사우동)경기도 김포시 사우동 259번지 4호1011037.617179126.718062<NA><NA><NA>문화(사단)김포문화대학, 선진고유문화유적지순례, 손돌공진혼제, 5월문화행사 추진김포문화원
8남양주시남양주문화원19810525<NA><NA>운영중<NA><NA><NA>경기도 남양주시 경춘로 883-36 (금곡동,2층)경기도 남양주시 금곡동 754번지 5호 2층1223537.633066127.19805<NA><NA><NA>문화(사단)지역문화진흥을 위한 지역문화사업 수행남양주문화원
9동두천시동두천문화원19941004<NA><NA>운영중<NA><NA><NA>경기도 동두천시 어수로 4 (상패동)경기도 동두천시 상패동 122번지1134037.905333127.04308<NA><NA><NA>문화(사단)지역문화 계승발전동두천문화원
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명법인설립목적법인명
21오산시오산문화원19940616<NA><NA>운영중<NA><NA><NA><NA>경기도 오산시 오산동 365번지 문화예술회관 내 2층1813637.153919127.069062<NA><NA><NA>문화(사단)우리 지역 고유의 전통문화 발굴 및 보존, 향토사의 조사·연구 및 사료의 수집·보존 사업, 각종 문화예술 행사 개최 사업, 문화에 관한 자료의 수집·보존 및 보급,각종 문화적 교류활동, 사회교육활동사업, 지역사회발전을 위한 문화활동사업, 기타 지역 문화발전에 기여할 수 있는 사업 등을 전개오산문화원
22용인시용인문화원19570413<NA><NA>운영중<NA><NA><NA>경기도 용인시 처인구 중부대로 1199, 3층 (삼가동,0)경기도 용인시 처인구 삼가동 556번지1701937.240639127.179204<NA><NA><NA>문화(사단)지역문화의 계발, 연구, 조사 및 향토문화예술진흥용인문화원
23의왕시의왕문화원19990813<NA><NA>운영중<NA><NA><NA>경기도 의왕시 백운로 23 (오전동)경기도 의왕시 오전동 413번지 1호1606537.352165126.982297<NA><NA><NA>문화(사단)ㅡ의왕문화원
24의정부시의정부문화원19891223<NA><NA>운영중<NA><NA><NA>경기도 의정부시 산단로 123 (신곡동)경기도 의정부시 신곡동 793번지1178037.746405127.079405<NA><NA><NA>문화(사단)지방문화육성, 전통문화 계승발전, 문화교육사업의 지속적인 발전의정부문화원
25이천시이천문화원19650510<NA><NA>운영중<NA><NA><NA>경기도 이천시 영창로 260 (창전동,시민회관 3층)경기도 이천시 창전동 105번지 3호 시민회관 3층1737137.280437127.451764<NA><NA><NA>문화(사단)향토사 연구, 향토문화 보존 및 홍보, 설봉문화제 개최, 도자기 축제 등이천문화원
26파주시파주문화원19671217<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 아동동 산 31번지 파주시민회관 2층<NA><NA><NA><NA><NA><NA>문화(사단)지역고유문화의 계발,보급,보존,전승 및 선양 등파주문화원
27평택시평택문화원19721211<NA><NA>운영중<NA><NA><NA>경기도 평택시 중앙로 277 (비전동,0)경기도 평택시 비전동 847번지1790136.991121127.114077<NA><NA><NA>문화(사단)웃다리문화촌 운영, 소사벌민속단오제, 향토사 연구소 운영 등평택문화원
28포천시포천문화원19860712<NA><NA>운영중<NA><NA><NA>경기도 포천시 중앙로 92 (신읍동)경기도 포천시 신읍동 33번지 45호1114737.894756127.201613<NA><NA><NA>문화(사단)지역 고유문화의 계발, 전승 및 문화예술진흥포천문화원
29하남시하남문화원19960611<NA><NA>운영중<NA><NA><NA>경기도 하남시 역말로 71 (덕풍동)경기도 하남시 덕풍동 426번지 10호12977<NA><NA><NA><NA><NA>문화(사단)하남문화대학 운영, 문화유적답사 등하남문화원
30화성시화성문화원19650205<NA><NA>운영중<NA><NA><NA>경기도 화성시 향남읍 발안로 89 (0)경기도 화성시 향남읍 행정리 287번지 1호1859237.132649126.920254<NA><NA><NA>문화(사단)ㅡ화성문화원