Overview

Dataset statistics

Number of variables18
Number of observations39
Missing cells159
Missing cells (%)22.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory159.4 B

Variable types

Categorical7
Text3
DateTime1
Unsupported4
Numeric3

Dataset

Description장례지도사 교육기관 현황_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=HKC5LZLICG2HN2ZYQDNT21887082&infSeq=1

Alerts

Y좌표값 is highly overall correlated with 소재지우편번호 and 8 other fieldsHigh correlation
시군명 is highly overall correlated with 소재지우편번호 and 7 other fieldsHigh correlation
영업상태구분코드 is highly overall correlated with 소재지우편번호 and 8 other fieldsHigh correlation
도로명우편번호 is highly overall correlated with 소재지우편번호 and 8 other fieldsHigh correlation
영업상태명 is highly overall correlated with 영업상태구분코드 and 4 other fieldsHigh correlation
X좌표값 is highly overall correlated with 소재지우편번호 and 8 other fieldsHigh correlation
소재지시설전화번호 is highly overall correlated with 소재지우편번호 and 8 other fieldsHigh correlation
소재지우편번호 is highly overall correlated with WGS84위도 and 6 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 6 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명 and 5 other fieldsHigh correlation
영업상태구분코드 is highly imbalanced (78.4%)Imbalance
소재지시설전화번호 is highly imbalanced (78.4%)Imbalance
도로명우편번호 is highly imbalanced (78.4%)Imbalance
X좌표값 is highly imbalanced (78.4%)Imbalance
Y좌표값 is highly imbalanced (78.4%)Imbalance
인허가취소일자 has 39 (100.0%) missing valuesMissing
소재지면적정보 has 39 (100.0%) missing valuesMissing
소재지우편번호 has 1 (2.6%) missing valuesMissing
WGS84위도 has 1 (2.6%) missing valuesMissing
WGS84경도 has 1 (2.6%) missing valuesMissing
업태구분명정보 has 39 (100.0%) missing valuesMissing
삭제일자 has 39 (100.0%) missing valuesMissing
인허가취소일자 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
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
삭제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 23:12:32.833454
Analysis finished2023-12-10 23:12:35.353900
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
성남시
5 
의정부시
4 
안산시
4 
수원시
4 
광명시
3 
Other values (14)
19 

Length

Max length4
Median length3
Mean length3.1538462
Min length3

Unique

Unique10 ?
Unique (%)25.6%

Sample

1st row고양시
2nd row과천시
3rd row광명시
4th row광명시
5th row광명시

Common Values

ValueCountFrequency (%)
성남시 5
12.8%
의정부시 4
10.3%
안산시 4
10.3%
수원시 4
10.3%
광명시 3
 
7.7%
부천시 3
 
7.7%
안양시 2
 
5.1%
하남시 2
 
5.1%
동두천시 2
 
5.1%
과천시 1
 
2.6%
Other values (9) 9
23.1%

Length

2023-12-11T08:12:35.413080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 5
12.8%
안산시 4
10.3%
수원시 4
10.3%
의정부시 4
10.3%
광명시 3
 
7.7%
부천시 3
 
7.7%
안양시 2
 
5.1%
하남시 2
 
5.1%
동두천시 2
 
5.1%
시흥시 1
 
2.6%
Other values (9) 9
23.1%

사업장명
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-11T08:12:35.641727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length11.589744
Min length10

Characters and Unicode

Total characters452
Distinct characters82
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

Unique35 ?
Unique (%)89.7%

Sample

1st row고양장례지도사교육원
2nd row참바른장례지도사교육원
3rd row신광명장례지도사교육원
4th row힘이되는장례지도사교육원
5th row광명장례지도사교육원
ValueCountFrequency (%)
하남장례지도사교육원 2
 
4.5%
노블레스장례지도사교육원 2
 
4.5%
평생교육원 1
 
2.3%
은성장례지도사교육원 1
 
2.3%
고양장례지도사교육원 1
 
2.3%
안양장례지도사교육원 1
 
2.3%
시흥장례지도사교육원 1
 
2.3%
나눔장례지도사교육원 1
 
2.3%
영광장례지도사교육원 1
 
2.3%
안산장례지도사교육원 1
 
2.3%
Other values (32) 32
72.7%
2023-12-11T08:12:35.991345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 45
10.0%
원 42
 
9.3%
육 40
 
8.8%
장 40
 
8.8%
지 40
 
8.8%
사 40
 
8.8%
례 39
 
8.6%
도 39
 
8.6%
부 8
 
1.8%
성 7
 
1.5%
Other values (72) 112
24.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
98.7%
Space Separator 5
 
1.1%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 45
10.1%
원 42
 
9.4%
육 40
 
9.0%
장 40
 
9.0%
지 40
 
9.0%
사 40
 
9.0%
례 39
 
8.7%
도 39
 
8.7%
부 8
 
1.8%
성 7
 
1.6%
Other values (70) 106
23.8%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
98.7%
Common 6
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 45
10.1%
원 42
 
9.4%
육 40
 
9.0%
장 40
 
9.0%
지 40
 
9.0%
사 40
 
9.0%
례 39
 
8.7%
도 39
 
8.7%
부 8
 
1.8%
성 7
 
1.6%
Other values (70) 106
23.8%
Common
ValueCountFrequency (%)
5
83.3%
- 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
98.7%
ASCII 6
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 45
10.1%
원 42
 
9.4%
육 40
 
9.0%
장 40
 
9.0%
지 40
 
9.0%
사 40
 
9.0%
례 39
 
8.7%
도 39
 
8.7%
부 8
 
1.8%
성 7
 
1.6%
Other values (70) 106
23.8%
ASCII
ValueCountFrequency (%)
5
83.3%
- 1
 
16.7%

인허가일자
Date

Distinct25
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2012-08-06 00:00:00
Maximum2023-10-13 00:00:00
2023-12-11T08:12:36.108816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:36.211762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

영업상태구분코드
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
37 
1
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.8461538
Min length1

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 37
94.9%
1 1
 
2.6%
0 1
 
2.6%

Length

2023-12-11T08:12:36.342119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:12:36.437032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
94.9%
1 1
 
2.6%
0 1
 
2.6%

영업상태명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
운영중
20 
폐업 등
15 
휴업 등
 
2
폐지
 
1
운영
 
1

Length

Max length4
Median length3
Mean length3.3846154
Min length2

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row운영중
2nd row폐지
3rd row운영중
4th row폐업 등
5th row폐업 등

Common Values

ValueCountFrequency (%)
운영중 20
51.3%
폐업 등 15
38.5%
휴업 등 2
 
5.1%
폐지 1
 
2.6%
운영 1
 
2.6%

Length

2023-12-11T08:12:36.548768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:12:36.660096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 20
35.7%
등 17
30.4%
폐업 15
26.8%
휴업 2
 
3.6%
폐지 1
 
1.8%
운영 1
 
1.8%

소재지시설전화번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
37 
7047885769
 
1
314024409
 
1

Length

Max length10
Median length4
Mean length4.2820513
Min length4

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row<NA>
2nd row7047885769
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 37
94.9%
7047885769 1
 
2.6%
314024409 1
 
2.6%

Length

2023-12-11T08:12:36.772270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:12:36.868610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
94.9%
7047885769 1
 
2.6%
314024409 1
 
2.6%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

도로명우편번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
37 
41290
 
1
41271
 
1

Length

Max length5
Median length4
Mean length4.0512821
Min length4

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row<NA>
2nd row41290
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 37
94.9%
41290 1
 
2.6%
41271 1
 
2.6%

Length

2023-12-11T08:12:36.978515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:12:37.067865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
94.9%
41290 1
 
2.6%
41271 1
 
2.6%

소재지도로명주소
Text

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-11T08:12:37.301609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length29.74359
Min length20

Characters and Unicode

Total characters1160
Distinct characters138
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

Unique37 ?
Unique (%)94.9%

Sample

1st row경기도 고양시 일산서구 가좌4로 6-10 (가좌동)
2nd row경기도 과천시 향나무로 12, 밤나무집 2층(과천동)
3rd row경기도 광명시 오리로 950 (광명동)
4th row경기도 광명시 하안로288번길 6, 402호 (하안동,뉴코리아빌딩)
5th row경기도 광명시 오리로 929, 201호 (광명동,민주빌딩)
ValueCountFrequency (%)
경기도 39
 
16.3%
3층 6
 
2.5%
성남시 5
 
2.1%
수정구 4
 
1.7%
의정부시 4
 
1.7%
안산시 4
 
1.7%
장안구 4
 
1.7%
수원시 4
 
1.7%
상록구 3
 
1.3%
광명시 3
 
1.3%
Other values (136) 163
68.2%
2023-12-11T08:12:37.684918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
 
17.2%
시 43
 
3.7%
경 40
 
3.4%
동 40
 
3.4%
도 39
 
3.4%
기 39
 
3.4%
, 37
 
3.2%
( 36
 
3.1%
로 36
 
3.1%
3 36
 
3.1%
Other values (128) 614
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 654
56.4%
Space Separator 200
 
17.2%
Decimal Number 188
 
16.2%
Other Punctuation 37
 
3.2%
Open Punctuation 36
 
3.1%
Close Punctuation 36
 
3.1%
Dash Punctuation 9
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 43
 
6.6%
경 40
 
6.1%
동 40
 
6.1%
도 39
 
6.0%
기 39
 
6.0%
로 36
 
5.5%
구 20
 
3.1%
호 17
 
2.6%
길 16
 
2.4%
안 16
 
2.4%
Other values (113) 348
53.2%
Decimal Number
ValueCountFrequency (%)
3 36
19.1%
1 31
16.5%
2 29
15.4%
0 24
12.8%
4 14
 
7.4%
6 13
 
6.9%
5 13
 
6.9%
9 11
 
5.9%
7 11
 
5.9%
8 6
 
3.2%
Space Separator
ValueCountFrequency (%)
200
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 654
56.4%
Common 506
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 43
 
6.6%
경 40
 
6.1%
동 40
 
6.1%
도 39
 
6.0%
기 39
 
6.0%
로 36
 
5.5%
구 20
 
3.1%
호 17
 
2.6%
길 16
 
2.4%
안 16
 
2.4%
Other values (113) 348
53.2%
Common
ValueCountFrequency (%)
200
39.5%
, 37
 
7.3%
( 36
 
7.1%
3 36
 
7.1%
) 36
 
7.1%
1 31
 
6.1%
2 29
 
5.7%
0 24
 
4.7%
4 14
 
2.8%
6 13
 
2.6%
Other values (5) 50
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 654
56.4%
ASCII 506
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
39.5%
, 37
 
7.3%
( 36
 
7.1%
3 36
 
7.1%
) 36
 
7.1%
1 31
 
6.1%
2 29
 
5.7%
0 24
 
4.7%
4 14
 
2.8%
6 13
 
2.6%
Other values (5) 50
 
9.9%
Hangul
ValueCountFrequency (%)
시 43
 
6.6%
경 40
 
6.1%
동 40
 
6.1%
도 39
 
6.0%
기 39
 
6.0%
로 36
 
5.5%
구 20
 
3.1%
호 17
 
2.6%
길 16
 
2.4%
안 16
 
2.4%
Other values (113) 348
53.2%

소재지지번주소
Text

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2023-12-11T08:12:37.918023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length26.384615
Min length19

Characters and Unicode

Total characters1029
Distinct characters112
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

Unique37 ?
Unique (%)94.9%

Sample

1st row경기도 고양시일산서구 가좌동 394번지 5호
2nd row경기도 과천시 과천동 529-2 밤나무집 201호
3rd row경기도 광명시 광명동 149번지 11호
4th row경기도 광명시 하안동 62번지 2호 뉴코리아빌딩 402호
5th row경기도 광명시 광명동 158번지 239호 민주빌딩 201호
ValueCountFrequency (%)
경기도 39
 
16.5%
성남시 5
 
2.1%
1호 5
 
2.1%
201호 4
 
1.7%
3층 4
 
1.7%
3호 4
 
1.7%
수정구 4
 
1.7%
안산시 4
 
1.7%
장안구 4
 
1.7%
수원시 4
 
1.7%
Other values (128) 159
67.4%
2023-12-11T08:12:38.294217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
209
20.3%
시 41
 
4.0%
호 41
 
4.0%
동 40
 
3.9%
경 39
 
3.8%
기 39
 
3.8%
지 39
 
3.8%
도 39
 
3.8%
번 37
 
3.6%
1 36
 
3.5%
Other values (102) 469
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 606
58.9%
Decimal Number 210
 
20.4%
Space Separator 209
 
20.3%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 41
 
6.8%
호 41
 
6.8%
동 40
 
6.6%
경 39
 
6.4%
기 39
 
6.4%
지 39
 
6.4%
도 39
 
6.4%
번 37
 
6.1%
구 21
 
3.5%
안 14
 
2.3%
Other values (90) 256
42.2%
Decimal Number
ValueCountFrequency (%)
1 36
17.1%
2 34
16.2%
0 29
13.8%
3 28
13.3%
4 23
11.0%
5 19
9.0%
6 12
 
5.7%
9 11
 
5.2%
7 10
 
4.8%
8 8
 
3.8%
Space Separator
ValueCountFrequency (%)
209
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 606
58.9%
Common 423
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 41
 
6.8%
호 41
 
6.8%
동 40
 
6.6%
경 39
 
6.4%
기 39
 
6.4%
지 39
 
6.4%
도 39
 
6.4%
번 37
 
6.1%
구 21
 
3.5%
안 14
 
2.3%
Other values (90) 256
42.2%
Common
ValueCountFrequency (%)
209
49.4%
1 36
 
8.5%
2 34
 
8.0%
0 29
 
6.9%
3 28
 
6.6%
4 23
 
5.4%
5 19
 
4.5%
6 12
 
2.8%
9 11
 
2.6%
7 10
 
2.4%
Other values (2) 12
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 606
58.9%
ASCII 423
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
209
49.4%
1 36
 
8.5%
2 34
 
8.0%
0 29
 
6.9%
3 28
 
6.6%
4 23
 
5.4%
5 19
 
4.5%
6 12
 
2.8%
9 11
 
2.6%
7 10
 
2.4%
Other values (2) 12
 
2.8%
Hangul
ValueCountFrequency (%)
시 41
 
6.8%
호 41
 
6.8%
동 40
 
6.6%
경 39
 
6.4%
기 39
 
6.4%
지 39
 
6.4%
도 39
 
6.4%
번 37
 
6.1%
구 21
 
3.5%
안 14
 
2.3%
Other values (90) 256
42.2%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct34
Distinct (%)89.5%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean13835.132
Minimum10209
Maximum18330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-11T08:12:38.406635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10209
5-th percentile11109.05
Q112138
median13946
Q315490
95-th percentile16338.2
Maximum18330
Range8121
Interquartile range (IQR)3352

Descriptive statistics

Standard deviation1922.1089
Coefficient of variation (CV)0.13892957
Kurtosis-0.65264873
Mean13835.132
Median Absolute Deviation (MAD)1596.5
Skewness0.069886268
Sum525735
Variance3694502.8
MonotonicityNot monotonic
2023-12-11T08:12:38.508500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
11674 3
 
7.7%
12947 2
 
5.1%
11330 2
 
5.1%
10209 1
 
2.6%
14097 1
 
2.6%
15052 1
 
2.6%
15533 1
 
2.6%
15361 1
 
2.6%
15624 1
 
2.6%
15552 1
 
2.6%
Other values (24) 24
61.5%
ValueCountFrequency (%)
10209 1
 
2.6%
10860 1
 
2.6%
11153 1
 
2.6%
11330 2
5.1%
11674 3
7.7%
11675 1
 
2.6%
11931 1
 
2.6%
12759 1
 
2.6%
12947 2
5.1%
13135 1
 
2.6%
ValueCountFrequency (%)
18330 1
2.6%
16345 1
2.6%
16337 1
2.6%
16269 1
2.6%
16265 1
2.6%
16058 1
2.6%
15865 1
2.6%
15624 1
2.6%
15552 1
2.6%
15533 1
2.6%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct35
Distinct (%)92.1%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean37.491939
Minimum37.213249
Maximum37.904045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-11T08:12:38.640459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.213249
5-th percentile37.290298
Q137.34745
median37.443916
Q337.58333
95-th percentile37.894375
Maximum37.904045
Range0.69079583
Interquartile range (IQR)0.23587995

Descriptive statistics

Standard deviation0.19233645
Coefficient of variation (CV)0.0051300747
Kurtosis-0.3460584
Mean37.491939
Median Absolute Deviation (MAD)0.11229051
Skewness0.82583293
Sum1424.6937
Variance0.036993309
MonotonicityNot monotonic
2023-12-11T08:12:38.757188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
37.5411002724 2
 
5.1%
37.904045015 2
 
5.1%
37.7395160432 2
 
5.1%
37.6863716559 1
 
2.6%
37.3882813522 1
 
2.6%
37.301780733 1
 
2.6%
37.3176831557 1
 
2.6%
37.2877543472 1
 
2.6%
37.2934782148 1
 
2.6%
37.3789076119 1
 
2.6%
Other values (25) 25
64.1%
ValueCountFrequency (%)
37.2132491856 1
2.6%
37.2877543472 1
2.6%
37.2907465368 1
2.6%
37.292970723 1
2.6%
37.2934782148 1
2.6%
37.301780733 1
2.6%
37.3067119314 1
2.6%
37.3167242742 1
2.6%
37.3176831557 1
2.6%
37.3455685452 1
2.6%
ValueCountFrequency (%)
37.904045015 2
5.1%
37.8926679417 1
2.6%
37.7726025857 1
2.6%
37.7482613395 1
2.6%
37.7395160432 2
5.1%
37.7394636831 1
2.6%
37.6863716559 1
2.6%
37.5974064874 1
2.6%
37.5411002724 2
5.1%
37.5043059536 1
2.6%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct35
Distinct (%)92.1%
Missing1
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean126.98479
Minimum126.7192
Maximum127.25885
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2023-12-11T08:12:38.866567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.7192
5-th percentile126.74456
Q1126.86174
median126.99458
Q3127.09929
95-th percentile127.21601
Maximum127.25885
Range0.53965843
Interquartile range (IQR)0.23754607

Descriptive statistics

Standard deviation0.14961831
Coefficient of variation (CV)0.0011782381
Kurtosis-0.86825472
Mean126.98479
Median Absolute Deviation (MAD)0.1307921
Skewness-0.078832666
Sum4825.422
Variance0.02238564
MonotonicityNot monotonic
2023-12-11T08:12:38.971568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
127.2160118288 2
 
5.1%
127.0526654422 2
 
5.1%
127.0399809215 2
 
5.1%
126.71919568 1
 
2.6%
126.9480239836 1
 
2.6%
126.8678890395 1
 
2.6%
126.8385818069 1
 
2.6%
126.8510729477 1
 
2.6%
126.8593614011 1
 
2.6%
126.9291507607 1
 
2.6%
Other values (25) 25
64.1%
ValueCountFrequency (%)
126.71919568 1
2.6%
126.7195841396 1
2.6%
126.7489652672 1
2.6%
126.7622775697 1
2.6%
126.7853729036 1
2.6%
126.7866598056 1
2.6%
126.8385818069 1
2.6%
126.8510729477 1
2.6%
126.8593614011 1
2.6%
126.8596929447 1
2.6%
ValueCountFrequency (%)
127.2588541085 1
2.6%
127.2160118288 2
5.1%
127.2064779163 1
2.6%
127.1651483914 1
2.6%
127.1455406341 1
2.6%
127.1449026083 1
2.6%
127.1371973772 1
2.6%
127.1307025418 1
2.6%
127.1148288985 1
2.6%
127.0526654422 2
5.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

X좌표값
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
37 
199723.998709632
 
1
188216.634845803
 
1

Length

Max length16
Median length4
Mean length4.6153846
Min length4

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row<NA>
2nd row199723.998709632
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 37
94.9%
199723.998709632 1
 
2.6%
188216.634845803 1
 
2.6%

Length

2023-12-11T08:12:39.081052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:12:39.169999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
94.9%
199723.998709632 1
 
2.6%
188216.634845803 1
 
2.6%

Y좌표값
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
37 
438311.154904144
 
1
422208.612536255
 
1

Length

Max length16
Median length4
Mean length4.6153846
Min length4

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row<NA>
2nd row438311.154904144
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 37
94.9%
438311.154904144 1
 
2.6%
422208.612536255 1
 
2.6%

Length

2023-12-11T08:12:39.263004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:12:39.427256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
94.9%
438311.154904144 1
 
2.6%
422208.612536255 1
 
2.6%

삭제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

Interactions

2023-12-11T08:12:34.453877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:33.605640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:33.914141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:34.545147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:33.720117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:34.274450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:34.662524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:33.827469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:34.366482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:12:39.523375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명사업장명인허가일자영업상태구분코드영업상태명소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값
시군명1.0001.0000.7450.0000.5060.0000.0001.0001.0000.9990.9950.9360.0000.000
사업장명1.0001.0000.8980.0000.9800.0000.0001.0001.0001.0001.0001.0000.0000.000
인허가일자0.7450.8981.0000.0000.8880.0000.0000.9640.9640.0000.5390.5870.0000.000
영업상태구분코드0.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
영업상태명0.5060.9800.8880.0001.0000.0000.0000.9650.9650.0000.0000.0000.0000.000
소재지시설전화번호0.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.000
도로명우편번호0.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.000
소재지도로명주소1.0001.0000.9640.0000.9650.0000.0001.0001.0001.0001.0001.0000.0000.000
소재지지번주소1.0001.0000.9640.0000.9650.0000.0001.0001.0001.0001.0001.0000.0000.000
소재지우편번호0.9991.0000.0000.0000.0000.0000.0001.0001.0001.0000.9740.7400.0000.000
WGS84위도0.9951.0000.5390.0000.0000.0000.0001.0001.0000.9741.0000.8490.0000.000
WGS84경도0.9361.0000.5870.0000.0000.0000.0001.0001.0000.7400.8491.0000.0000.000
X좌표값0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.000
Y좌표값0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.000
2023-12-11T08:12:39.703933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Y좌표값시군명영업상태구분코드도로명우편번호영업상태명X좌표값소재지시설전화번호
Y좌표값1.0001.0001.0001.0001.0001.0001.000
시군명1.0001.0001.0001.0000.1831.0001.000
영업상태구분코드1.0001.0001.0001.0001.0001.0001.000
도로명우편번호1.0001.0001.0001.0001.0001.0001.000
영업상태명1.0000.1831.0001.0001.0001.0001.000
X좌표값1.0001.0001.0001.0001.0001.0001.000
소재지시설전화번호1.0001.0001.0001.0001.0001.0001.000
2023-12-11T08:12:40.151758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명영업상태구분코드영업상태명소재지시설전화번호도로명우편번호X좌표값Y좌표값
소재지우편번호1.000-0.884-0.4000.7611.0000.0001.0001.0001.0001.000
WGS84위도-0.8841.0000.2590.8011.0000.0001.0001.0001.0001.000
WGS84경도-0.4000.2591.0000.5841.0000.0001.0001.0001.0001.000
시군명0.7610.8010.5841.0001.0000.1831.0001.0001.0001.000
영업상태구분코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
영업상태명0.0000.0000.0000.1831.0001.0001.0001.0001.0001.000
소재지시설전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명우편번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
X좌표값1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Y좌표값1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T08:12:34.851270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:12:35.115341image/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.
2023-12-11T08:12:35.274104image/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

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값삭제일자
0고양시고양장례지도사교육원20120906<NA><NA>운영중<NA><NA><NA>경기도 고양시 일산서구 가좌4로 6-10 (가좌동)경기도 고양시일산서구 가좌동 394번지 5호1020937.686372126.719196<NA><NA><NA><NA>
1과천시참바른장례지도사교육원2021-12-10<NA>1폐지7047885769<NA>41290경기도 과천시 향나무로 12, 밤나무집 2층(과천동)경기도 과천시 과천동 529-2 밤나무집 201호1381537.44693126.997699<NA>199723.99871438311.154904<NA>
2광명시신광명장례지도사교육원20140325<NA><NA>운영중<NA><NA><NA>경기도 광명시 오리로 950 (광명동)경기도 광명시 광명동 149번지 11호<NA><NA><NA><NA><NA><NA><NA>
3광명시힘이되는장례지도사교육원20130122<NA><NA>폐업 등<NA><NA><NA>경기도 광명시 하안로288번길 6, 402호 (하안동,뉴코리아빌딩)경기도 광명시 하안동 62번지 2호 뉴코리아빌딩 402호1430637.461746126.881346<NA><NA><NA><NA>
4광명시광명장례지도사교육원20120827<NA><NA>폐업 등<NA><NA><NA>경기도 광명시 오리로 929, 201호 (광명동,민주빌딩)경기도 광명시 광명동 158번지 239호 민주빌딩 201호1426437.477603126.859693<NA><NA><NA><NA>
5광주시광주비전장례지도사교육원20120828<NA><NA>운영중<NA><NA><NA>경기도 광주시 중앙로 95-1, 4층 (역동)경기도 광주시 역동 22번지 10호1275937.408163127.258854<NA><NA><NA><NA>
6구리시구리장례지도사교육원20120828<NA><NA>운영중<NA><NA><NA>경기도 구리시 검배로47번길 12-25 (수택동)경기도 구리시 수택동 507번지 17호1193137.597406127.145541<NA><NA><NA><NA>
7군포시군포장례지도사교육원20120806<NA><NA>폐업 등<NA><NA><NA>경기도 군포시 번영로 497, 707호 (산본동,금화프라자)경기도 군포시 산본동 1142번지 5호 금화프라자 707호1586537.358308126.932288<NA><NA><NA><NA>
8동두천시노블레스장례지도사교육원20150216<NA><NA>운영중<NA><NA><NA>경기도 동두천시 어수로83번길 36, 202-3호 (생연동,파크타운)경기도 동두천시 생연동 664번지 59호1133037.904045127.052665<NA><NA><NA><NA>
9동두천시노블레스장례지도사교육원20120906<NA><NA>폐업 등<NA><NA><NA>경기도 동두천시 어수로83번길 36, 202-3호 (생연동,파크타운)경기도 동두천시 생연동 664번지 59호1133037.904045127.052665<NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값삭제일자
29의왕시수원화성장례지도사교육원20120905<NA><NA>운영중<NA><NA><NA>경기도 의왕시 등칙골4길 14, 3층 (오전동)경기도 의왕시 오전동 309번지 2호1605837.353094126.974331<NA><NA><NA><NA>
30의정부시천주교의정부교구장례지도사교육원20130215<NA><NA>운영중<NA><NA><NA>경기도 의정부시 신흥로 261 (의정부동)경기도 의정부시 의정부동 432번지 4호1167437.739464127.042739<NA><NA><NA><NA>
31의정부시경기북부장례지도사교육원20120823<NA><NA>운영중<NA><NA><NA>경기도 의정부시 둔야로50번길 10-16, 2층 (가능동)경기도 의정부시 가능동 836번지 12호 2층1167437.739516127.039981<NA><NA><NA><NA>
32의정부시부모사랑장례지도사교육원20120823<NA><NA>운영중<NA><NA><NA>경기도 의정부시 의정로173번길 11 (가능동)경기도 의정부시 가능동 680-6번지1167537.748261127.033729<NA><NA><NA><NA>
33의정부시의정부장례지도사교육원20120816<NA><NA>폐업 등<NA><NA><NA>경기도 의정부시 둔야로50번길 10-16 (가능동)경기도 의정부시 의정부동 499번지1167437.739516127.039981<NA><NA><NA><NA>
34파주시프리드장례지도사교육원20120828<NA><NA>운영중<NA><NA><NA>경기도 파주시 탄현면 갈현로 37-3경기도 파주시 탄현면 갈현리 321번지1086037.772603126.719584<NA><NA><NA><NA>
35포천시늘푸른장례지도사교육원20120921<NA><NA>운영중<NA><NA><NA>경기도 포천시 군내면 청군로 3403경기도 포천시 군내면 구읍리 574-3번지1115337.892668127.206478<NA><NA><NA><NA>
36하남시하남장례지도사교육원20121203<NA><NA>폐업 등<NA><NA><NA>경기도 하남시 대청로 33, 1007호 (신장동,현대베스코아)경기도 하남시 신장동 523번지 1호 현대베스코아 1007호1294737.5411127.216012<NA><NA><NA><NA>
37하남시하남장례지도사교육원20120817<NA><NA>폐업 등<NA><NA><NA>경기도 하남시 대청로 33, 1007호 (신장동,현대베스코아빌딩)경기도 하남시 신장동 523번지 1호 현대베스코아빌딩 1007호1294737.5411127.216012<NA><NA><NA><NA>
38화성시협성대학교 협성장례지도사교육원20170418<NA><NA>운영중<NA><NA><NA>경기도 화성시 봉담읍 최루백로 72, 203호경기도 화성시 봉담읍 상리 14번지 203호1833037.213249126.95363<NA><NA><NA><NA>