Overview

Dataset statistics

Number of variables8
Number of observations723
Missing cells391
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.4 KiB
Average record size in memory67.2 B

Variable types

Numeric3
Text3
Categorical2

Dataset

Description산림복지서비스를 제공하는 업종 정보입니다.업종 종류로는 산림치유업, 숲길등산지도업, 숲해설업, 유아숲교육업, 종합산림복지업이 있습니다.
Author한국산림복지진흥원
URLhttps://www.data.go.kr/data/15041006/fileData.do

Alerts

위도(ALTI_도) is highly overall correlated with 지역High correlation
경도(LONGI_도) is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 위도(ALTI_도) and 1 other fieldsHigh correlation
대표전화번호 has 391 (54.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:08:10.275189
Analysis finished2024-04-21 01:08:13.132689
Duration2.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct723
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean362
Minimum1
Maximum723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-21T10:08:13.198084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile37.1
Q1181.5
median362
Q3542.5
95-th percentile686.9
Maximum723
Range722
Interquartile range (IQR)361

Descriptive statistics

Standard deviation208.85641
Coefficient of variation (CV)0.57695141
Kurtosis-1.2
Mean362
Median Absolute Deviation (MAD)181
Skewness0
Sum261726
Variance43621
MonotonicityStrictly increasing
2024-04-21T10:08:13.326184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
477 1
 
0.1%
479 1
 
0.1%
480 1
 
0.1%
481 1
 
0.1%
482 1
 
0.1%
483 1
 
0.1%
484 1
 
0.1%
485 1
 
0.1%
486 1
 
0.1%
Other values (713) 713
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
723 1
0.1%
722 1
0.1%
721 1
0.1%
720 1
0.1%
719 1
0.1%
718 1
0.1%
717 1
0.1%
716 1
0.1%
715 1
0.1%
714 1
0.1%

업체명
Text

Distinct711
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-21T10:08:13.522917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length8.9640387
Min length2

Characters and Unicode

Total characters6481
Distinct characters431
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique700 ?
Unique (%)96.8%

Sample

1st row(사)에코아이 생태교육연구소
2nd row주식회사 우리들
3rd row아이솔 생태교육
4th row주식회사 아미산숲센터
5th row아낌없이주는숲연구소
ValueCountFrequency (%)
주식회사 110
 
9.9%
사단법인 53
 
4.7%
협동조합 42
 
3.8%
숲 24
 
2.2%
사회적협동조합 21
 
1.9%
농업회사법인 12
 
1.1%
유한회사 8
 
0.7%
주 5
 
0.4%
꿈꾸는 5
 
0.4%
연구소 4
 
0.4%
Other values (764) 832
74.6%
2024-04-21T10:08:13.817827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
402
 
6.2%
숲 381
 
5.9%
사 309
 
4.8%
회 244
 
3.8%
협 194
 
3.0%
주 181
 
2.8%
동 170
 
2.6%
조 165
 
2.5%
합 164
 
2.5%
식 124
 
1.9%
Other values (421) 4147
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5878
90.7%
Space Separator 402
 
6.2%
Close Punctuation 73
 
1.1%
Open Punctuation 70
 
1.1%
Lowercase Letter 21
 
0.3%
Uppercase Letter 17
 
0.3%
Other Punctuation 11
 
0.2%
Other Symbol 4
 
0.1%
Decimal Number 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
숲 381
 
6.5%
사 309
 
5.3%
회 244
 
4.2%
협 194
 
3.3%
주 181
 
3.1%
동 170
 
2.9%
조 165
 
2.8%
합 164
 
2.8%
식 124
 
2.1%
이 100
 
1.7%
Other values (383) 3846
65.4%
Lowercase Letter
ValueCountFrequency (%)
o 4
19.0%
t 3
14.3%
n 3
14.3%
r 2
9.5%
a 2
9.5%
h 1
 
4.8%
e 1
 
4.8%
d 1
 
4.8%
m 1
 
4.8%
i 1
 
4.8%
Other values (2) 2
9.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
17.6%
I 2
11.8%
E 2
11.8%
P 2
11.8%
B 1
 
5.9%
L 1
 
5.9%
F 1
 
5.9%
N 1
 
5.9%
O 1
 
5.9%
W 1
 
5.9%
Other values (2) 2
11.8%
Other Punctuation
ValueCountFrequency (%)
& 3
27.3%
. 3
27.3%
: 2
18.2%
, 1
 
9.1%
· 1
 
9.1%
! 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
6 1
25.0%
0 1
25.0%
Space Separator
ValueCountFrequency (%)
402
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5878
90.7%
Common 561
 
8.7%
Latin 38
 
0.6%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
숲 381
 
6.5%
사 309
 
5.3%
회 244
 
4.2%
협 194
 
3.3%
주 181
 
3.1%
동 170
 
2.9%
조 165
 
2.8%
합 164
 
2.8%
식 124
 
2.1%
이 100
 
1.7%
Other values (380) 3846
65.4%
Latin
ValueCountFrequency (%)
o 4
 
10.5%
C 3
 
7.9%
t 3
 
7.9%
n 3
 
7.9%
r 2
 
5.3%
a 2
 
5.3%
I 2
 
5.3%
E 2
 
5.3%
P 2
 
5.3%
h 1
 
2.6%
Other values (14) 14
36.8%
Common
ValueCountFrequency (%)
402
71.7%
) 73
 
13.0%
( 70
 
12.5%
& 3
 
0.5%
. 3
 
0.5%
: 2
 
0.4%
2 2
 
0.4%
, 1
 
0.2%
6 1
 
0.2%
- 1
 
0.2%
Other values (3) 3
 
0.5%
Han
ValueCountFrequency (%)
人 1
25.0%
自 1
25.0%
作 1
25.0%
休 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5874
90.6%
ASCII 598
 
9.2%
None 5
 
0.1%
CJK 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
402
67.2%
) 73
 
12.2%
( 70
 
11.7%
o 4
 
0.7%
& 3
 
0.5%
C 3
 
0.5%
. 3
 
0.5%
t 3
 
0.5%
n 3
 
0.5%
r 2
 
0.3%
Other values (26) 32
 
5.4%
Hangul
ValueCountFrequency (%)
숲 381
 
6.5%
사 309
 
5.3%
회 244
 
4.2%
협 194
 
3.3%
주 181
 
3.1%
동 170
 
2.9%
조 165
 
2.8%
합 164
 
2.8%
식 124
 
2.1%
이 100
 
1.7%
Other values (379) 3842
65.4%
None
ValueCountFrequency (%)
㈜ 4
80.0%
· 1
 
20.0%
CJK
ValueCountFrequency (%)
人 1
25.0%
自 1
25.0%
作 1
25.0%
休 1
25.0%

사업자주소
Text

Distinct714
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2024-04-21T10:08:14.102141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length25.298755
Min length14

Characters and Unicode

Total characters18291
Distinct characters423
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique706 ?
Unique (%)97.6%

Sample

1st row서울 강서구 공항대로 38-9(공항동, 2층)
2nd row부산 수영구 망미번영로70번길 106-26(수영동)
3rd row서울 동대문구 천호대로31길 38 2층 201호
4th row충남 당진시 송악읍 송악로 246-133
5th row충남 아산시 배방읍 공수길 119
ValueCountFrequency (%)
경기 142
 
3.5%
서울 85
 
2.1%
전남 58
 
1.4%
경북 53
 
1.3%
강원 50
 
1.2%
2층 49
 
1.2%
충남 48
 
1.2%
경남 43
 
1.1%
전북 38
 
0.9%
충북 35
 
0.9%
Other values (2039) 3474
85.3%
2024-04-21T10:08:14.519303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3667
 
20.0%
1 906
 
5.0%
2 611
 
3.3%
로 543
 
3.0%
0 491
 
2.7%
3 432
 
2.4%
시 407
 
2.2%
동 405
 
2.2%
길 377
 
2.1%
4 344
 
1.9%
Other values (413) 10108
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9884
54.0%
Decimal Number 3971
21.7%
Space Separator 3667
 
20.0%
Dash Punctuation 246
 
1.3%
Open Punctuation 171
 
0.9%
Close Punctuation 170
 
0.9%
Other Punctuation 144
 
0.8%
Uppercase Letter 37
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 543
 
5.5%
시 407
 
4.1%
동 405
 
4.1%
길 377
 
3.8%
구 342
 
3.5%
호 293
 
3.0%
경 286
 
2.9%
남 270
 
2.7%
산 230
 
2.3%
서 189
 
1.9%
Other values (382) 6542
66.2%
Uppercase Letter
ValueCountFrequency (%)
B 13
35.1%
A 11
29.7%
K 3
 
8.1%
T 2
 
5.4%
D 2
 
5.4%
N 1
 
2.7%
X 1
 
2.7%
S 1
 
2.7%
F 1
 
2.7%
M 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 906
22.8%
2 611
15.4%
0 491
12.4%
3 432
10.9%
4 344
 
8.7%
5 312
 
7.9%
6 257
 
6.5%
8 218
 
5.5%
7 215
 
5.4%
9 185
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 129
89.6%
. 9
 
6.2%
/ 3
 
2.1%
@ 2
 
1.4%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
3667
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 246
100.0%
Open Punctuation
ValueCountFrequency (%)
( 171
100.0%
Close Punctuation
ValueCountFrequency (%)
) 170
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9884
54.0%
Common 8369
45.8%
Latin 38
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 543
 
5.5%
시 407
 
4.1%
동 405
 
4.1%
길 377
 
3.8%
구 342
 
3.5%
호 293
 
3.0%
경 286
 
2.9%
남 270
 
2.7%
산 230
 
2.3%
서 189
 
1.9%
Other values (382) 6542
66.2%
Common
ValueCountFrequency (%)
3667
43.8%
1 906
 
10.8%
2 611
 
7.3%
0 491
 
5.9%
3 432
 
5.2%
4 344
 
4.1%
5 312
 
3.7%
6 257
 
3.1%
- 246
 
2.9%
8 218
 
2.6%
Other values (9) 885
 
10.6%
Latin
ValueCountFrequency (%)
B 13
34.2%
A 11
28.9%
K 3
 
7.9%
T 2
 
5.3%
D 2
 
5.3%
N 1
 
2.6%
X 1
 
2.6%
S 1
 
2.6%
F 1
 
2.6%
M 1
 
2.6%
Other values (2) 2
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9884
54.0%
ASCII 8407
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3667
43.6%
1 906
 
10.8%
2 611
 
7.3%
0 491
 
5.8%
3 432
 
5.1%
4 344
 
4.1%
5 312
 
3.7%
6 257
 
3.1%
- 246
 
2.9%
8 218
 
2.6%
Other values (21) 923
 
11.0%
Hangul
ValueCountFrequency (%)
로 543
 
5.5%
시 407
 
4.1%
동 405
 
4.1%
길 377
 
3.8%
구 342
 
3.5%
호 293
 
3.0%
경 286
 
2.9%
남 270
 
2.7%
산 230
 
2.3%
서 189
 
1.9%
Other values (382) 6542
66.2%

위도(ALTI_도)
Real number (ℝ)

HIGH CORRELATION 

Distinct680
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.54994
Minimum126.15055
Maximum129.41151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-21T10:08:14.637940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.15055
5-th percentile126.62015
Q1126.95129
median127.22967
Q3128.18731
95-th percentile129.12748
Maximum129.41151
Range3.2609642
Interquartile range (IQR)1.2360204

Descriptive statistics

Standard deviation0.82368319
Coefficient of variation (CV)0.0064577311
Kurtosis-0.63801252
Mean127.54994
Median Absolute Deviation (MAD)0.3807897
Skewness0.81820388
Sum92218.604
Variance0.67845399
MonotonicityNot monotonic
2024-04-21T10:08:14.751760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9165307 3
 
0.4%
127.2306127 3
 
0.4%
129.1571127 3
 
0.4%
126.8766986 3
 
0.4%
127.3009256 2
 
0.3%
128.2136701 2
 
0.3%
127.1159117 2
 
0.3%
127.0948037 2
 
0.3%
126.9043212 2
 
0.3%
126.9736748 2
 
0.3%
Other values (670) 699
96.7%
ValueCountFrequency (%)
126.1505451 1
0.1%
126.2938292 1
0.1%
126.295945 1
0.1%
126.3755322 1
0.1%
126.3780896 1
0.1%
126.3858212 1
0.1%
126.4076574 1
0.1%
126.4276017 1
0.1%
126.4441229 1
0.1%
126.452296 1
0.1%
ValueCountFrequency (%)
129.4115093 1
0.1%
129.4013814 1
0.1%
129.3690241 1
0.1%
129.3624285 2
0.3%
129.3580085 1
0.1%
129.3428562 1
0.1%
129.3388648 1
0.1%
129.3349884 1
0.1%
129.3319976 1
0.1%
129.3316958 1
0.1%

경도(LONGI_도)
Real number (ℝ)

HIGH CORRELATION 

Distinct680
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.526435
Minimum33.238611
Maximum38.380455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2024-04-21T10:08:14.881251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.238611
5-th percentile34.808134
Q135.63182
median36.74941
Q337.491144
95-th percentile37.756144
Maximum38.380455
Range5.1418437
Interquartile range (IQR)1.859324

Descriptive statistics

Standard deviation1.0889376
Coefficient of variation (CV)0.029812316
Kurtosis-0.33946206
Mean36.526435
Median Absolute Deviation (MAD)0.80095147
Skewness-0.6726212
Sum26408.612
Variance1.1857851
MonotonicityNot monotonic
2024-04-21T10:08:15.020411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.52753804 3
 
0.4%
37.57603338 3
 
0.4%
37.46214566 3
 
0.4%
37.3638597 3
 
0.4%
36.48518629 2
 
0.3%
37.14313614 2
 
0.3%
35.92329072 2
 
0.3%
37.00942992 2
 
0.3%
37.44861989 2
 
0.3%
37.57637979 2
 
0.3%
Other values (670) 699
96.7%
ValueCountFrequency (%)
33.2386115 1
0.1%
33.25887101 1
0.1%
33.27031489 1
0.1%
33.28797102 1
0.1%
33.46047909 1
0.1%
33.46890644 1
0.1%
33.48351196 1
0.1%
33.48593843 1
0.1%
33.48704622 1
0.1%
33.49068416 1
0.1%
ValueCountFrequency (%)
38.38045517 1
0.1%
38.37957759 1
0.1%
38.18300212 1
0.1%
38.10688118 1
0.1%
38.0811829 1
0.1%
38.06750502 1
0.1%
38.02271681 1
0.1%
37.9481325 1
0.1%
37.94223049 1
0.1%
37.91382205 1
0.1%

대표전화번호
Text

MISSING 

Distinct316
Distinct (%)95.2%
Missing391
Missing (%)54.1%
Memory size5.8 KiB
2024-04-21T10:08:15.249775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.990964
Min length11

Characters and Unicode

Total characters3981
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

Unique303 ?
Unique (%)91.3%

Sample

1st row02-2666-0002
2nd row070-4401-4570
3rd row041-355-6676
4th row02-747-6518
5th row042-252-8009
ValueCountFrequency (%)
055-547-9909 3
 
0.9%
051-313-8468 3
 
0.9%
054-553-5507 3
 
0.9%
032-439-8880 2
 
0.6%
031-875-1980 2
 
0.6%
031-968-2008 2
 
0.6%
031-576-4985 2
 
0.6%
031-447-3355 2
 
0.6%
031-571-1606 2
 
0.6%
031-998-0670 2
 
0.6%
Other values (306) 309
93.1%
2024-04-21T10:08:15.565305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 664
16.7%
0 572
14.4%
3 427
10.7%
5 388
9.7%
2 370
9.3%
1 323
8.1%
4 292
7.3%
6 276
6.9%
7 261
 
6.6%
8 250
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3317
83.3%
Dash Punctuation 664
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 572
17.2%
3 427
12.9%
5 388
11.7%
2 370
11.2%
1 323
9.7%
4 292
8.8%
6 276
8.3%
7 261
7.9%
8 250
7.5%
9 158
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 664
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3981
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 664
16.7%
0 572
14.4%
3 427
10.7%
5 388
9.7%
2 370
9.3%
1 323
8.1%
4 292
7.3%
6 276
6.9%
7 261
 
6.6%
8 250
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3981
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 664
16.7%
0 572
14.4%
3 427
10.7%
5 388
9.7%
2 370
9.3%
1 323
8.1%
4 292
7.3%
6 276
6.9%
7 261
 
6.6%
8 250
 
6.3%

전문업의종류
Categorical

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
숲해설업
472 
유아숲교육업
163 
산림치유업
 
41
종합산림복지업
 
31
숲길등산지도업
 
16

Length

Max length7
Median length4
Mean length4.7026279
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숲해설업
2nd row숲해설업
3rd row유아숲교육업
4th row유아숲교육업
5th row숲해설업

Common Values

ValueCountFrequency (%)
숲해설업 472
65.3%
유아숲교육업 163
 
22.5%
산림치유업 41
 
5.7%
종합산림복지업 31
 
4.3%
숲길등산지도업 16
 
2.2%

Length

2024-04-21T10:08:15.683090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:08:15.773753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숲해설업 472
65.3%
유아숲교육업 163
 
22.5%
산림치유업 41
 
5.7%
종합산림복지업 31
 
4.3%
숲길등산지도업 16
 
2.2%

지역
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
경기
148 
서울
87 
강원
61 
전남
58 
경북
53 
Other values (13)
316 

Length

Max length4
Median length2
Mean length2.0055325
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row부산
3rd row서울
4th row충남
5th row충남

Common Values

ValueCountFrequency (%)
경기 148
20.5%
서울 87
12.0%
강원 61
8.4%
전남 58
 
8.0%
경북 53
 
7.3%
충남 48
 
6.6%
경남 43
 
5.9%
전북 38
 
5.3%
충북 35
 
4.8%
대전 30
 
4.1%
Other values (8) 122
16.9%

Length

2024-04-21T10:08:15.880563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 148
20.5%
서울 87
12.0%
강원 61
8.4%
전남 58
 
8.0%
경북 53
 
7.3%
충남 48
 
6.6%
경남 43
 
5.9%
전북 38
 
5.3%
충북 35
 
4.8%
대전 30
 
4.1%
Other values (8) 122
16.9%

Interactions

2024-04-21T10:08:12.685589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:12.143047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:12.440285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:12.761721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:12.273123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:12.525471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:12.853801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:12.357766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:08:12.606223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:08:15.953364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도(ALTI_도)경도(LONGI_도)전문업의종류지역
연번1.0000.1700.0550.2680.205
위도(ALTI_도)0.1701.0000.5270.3050.838
경도(LONGI_도)0.0550.5271.0000.0850.915
전문업의종류0.2680.3050.0851.0000.216
지역0.2050.8380.9150.2161.000
2024-04-21T10:08:16.048795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전문업의종류지역
전문업의종류1.0000.111
지역0.1111.000
2024-04-21T10:08:16.318232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도(ALTI_도)경도(LONGI_도)전문업의종류지역
연번1.000-0.014-0.0690.1140.080
위도(ALTI_도)-0.0141.000-0.1500.1310.523
경도(LONGI_도)-0.069-0.1501.0000.0490.681
전문업의종류0.1140.1310.0491.0000.111
지역0.0800.5230.6810.1111.000

Missing values

2024-04-21T10:08:12.969475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:08:13.079324image/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

연번업체명사업자주소위도(ALTI_도)경도(LONGI_도)대표전화번호전문업의종류지역
01(사)에코아이 생태교육연구소서울 강서구 공항대로 38-9(공항동, 2층)126.81201937.56086302-2666-0002숲해설업서울
12주식회사 우리들부산 수영구 망미번영로70번길 106-26(수영동)129.11453635.16935<NA>숲해설업부산
23아이솔 생태교육서울 동대문구 천호대로31길 38 2층 201호127.04118737.575118070-4401-4570유아숲교육업서울
34주식회사 아미산숲센터충남 당진시 송악읍 송악로 246-133126.7117136.914161041-355-6676유아숲교육업충남
45아낌없이주는숲연구소충남 아산시 배방읍 공수길 119127.05550236.761029<NA>숲해설업충남
56사단법인한국숲해설가협회서울 서초구 바우뫼로 158(양재동, 유창빌딩 4층)127.03757537.47729702-747-6518숲해설업서울
67주식회사 한국숲인성교육개발원대전 서구 탄방로 26 수팰리스202호127.39014936.344333042-252-8009종합산림복지업대전
78세림원예연구소대전 유성구 대학로 34, 2층 204호(봉명동, 노블레스타워)127.34302336.356458042-825-5049숲해설업대전
89사단법인월드유스비전서울 송파구 문정동 42-2, 4층 B-9호127.1233737.48961402-417-1318숲해설업서울
910푸르뫼숲 주식회사경기 파주시 법원읍 술이홀로1333번길 44-86126.87329837.885539031-922-7954산림치유업경기
연번업체명사업자주소위도(ALTI_도)경도(LONGI_도)대표전화번호전문업의종류지역
713714더금하에너지전환협동조합서울 금천구 금하로1길 3126.89242637.45211302-897-4556숲해설업서울
714715인더숲경북 구미시 신비로3길 26-12128.36524636.124687054-607-4960숲해설업경북
715716꿈꾸는 씨앗인천 연수구 먼우금로83번길 49 307동 102호126.66695737.406971<NA>숲해설업인천
716717케이포레연구센터충남 금산군 금산읍 진악로 869 103-402127.46426836.101912<NA>숲해설업충남
717718지리산숲학교전남 구례군 마산면 냉천길 9-17127.48035835.211666061-783-5723숲해설업전남
718719숲에서놀자대구 달서구 성당로47길 16 3층(두류동)128.57282535.85375<NA>숲해설업대구
719720세종전의묘목협동조합세종특별자치시 전의면 만세길 16-8127.20480536.677984044-866-9936숲해설업세종
720721숲닮경기 의정부시 문화로 6 A동 919호(고산동, 한강듀클래스 의정부 고산)127.10380437.729019031-875-1980숲해설업경기
721722큰돌마을부산 부산진구 가야대로 531 101-1801129.03026735.154025<NA>숲해설업부산
722723초록숲강원특별자치도 삼척시 동해대로 4360 108-2701129.15916337.461693<NA>유아숲교육업강원