Overview

Dataset statistics

Number of variables14
Number of observations686
Missing cells6020
Missing cells (%)62.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.8 KiB
Average record size in memory113.2 B

Variable types

Numeric1
Text5
Categorical1
Unsupported6
Boolean1

Dataset

Description산림복지전문업지원시스템에서 추출한 산림복지 전문업 기타정보에 관련된 내용입니다.
Author한국산림복지진흥원
URLhttps://www.data.go.kr/data/15088865/fileData.do

Alerts

연번 is highly overall correlated with Unnamed: 13High correlation
Unnamed: 13 is highly overall correlated with 연번High correlation
팩스번호 has 303 (44.2%) missing valuesMissing
연락처 has 517 (75.4%) missing valuesMissing
업종구분 has 209 (30.5%) missing valuesMissing
세부 구분 has 188 (27.4%) missing valuesMissing
Unnamed: 7 has 686 (100.0%) missing valuesMissing
Unnamed: 8 has 686 (100.0%) missing valuesMissing
Unnamed: 9 has 686 (100.0%) missing valuesMissing
Unnamed: 10 has 686 (100.0%) missing valuesMissing
Unnamed: 11 has 686 (100.0%) missing valuesMissing
Unnamed: 12 has 686 (100.0%) missing valuesMissing
Unnamed: 13 has 684 (99.7%) missing valuesMissing
연번 has unique valuesUnique
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 07:39:24.682901
Analysis finished2023-12-12 07:39:25.891511
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct686
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344.5277
Minimum1
Maximum688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-12T16:39:25.967921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile35.25
Q1172.25
median344.5
Q3516.75
95-th percentile653.75
Maximum688
Range687
Interquartile range (IQR)344.5

Descriptive statistics

Standard deviation198.93464
Coefficient of variation (CV)0.57741262
Kurtosis-1.2017569
Mean344.5277
Median Absolute Deviation (MAD)172.5
Skewness-0.00026337913
Sum236346
Variance39574.991
MonotonicityStrictly increasing
2023-12-12T16:39:26.118315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
464 1
 
0.1%
455 1
 
0.1%
457 1
 
0.1%
458 1
 
0.1%
459 1
 
0.1%
460 1
 
0.1%
461 1
 
0.1%
462 1
 
0.1%
463 1
 
0.1%
Other values (676) 676
98.5%
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 (%)
688 1
0.1%
687 1
0.1%
686 1
0.1%
685 1
0.1%
684 1
0.1%
683 1
0.1%
682 1
0.1%
681 1
0.1%
680 1
0.1%
679 1
0.1%

팩스번호
Text

MISSING 

Distinct347
Distinct (%)90.6%
Missing303
Missing (%)44.2%
Memory size5.5 KiB
2023-12-12T16:39:26.391908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.088773
Min length3

Characters and Unicode

Total characters4630
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique318 ?
Unique (%)83.0%

Sample

1st row042-226-5356
2nd row02-720-1657
3rd row051-418-6454
4th row054-457-4588
5th row054-474-3279
ValueCountFrequency (%)
052-257-5727 4
 
1.0%
054-273-2740 3
 
0.8%
051-323-8468 3
 
0.8%
041-357-3404 3
 
0.8%
050-4152-8492 3
 
0.8%
063-833-0128 3
 
0.8%
02-955-7510 2
 
0.5%
031-222-3064 2
 
0.5%
033-463-4453 2
 
0.5%
052-242-0806 2
 
0.5%
Other values (336) 355
92.9%
2023-12-12T16:39:26.884795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 763
16.5%
0 683
14.8%
3 498
10.8%
5 462
10.0%
4 436
9.4%
2 425
9.2%
1 304
 
6.6%
6 294
 
6.3%
7 283
 
6.1%
8 280
 
6.0%
Other values (2) 202
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3864
83.5%
Dash Punctuation 763
 
16.5%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 683
17.7%
3 498
12.9%
5 462
12.0%
4 436
11.3%
2 425
11.0%
1 304
7.9%
6 294
7.6%
7 283
7.3%
8 280
7.2%
9 199
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 763
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4630
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 763
16.5%
0 683
14.8%
3 498
10.8%
5 462
10.0%
4 436
9.4%
2 425
9.2%
1 304
 
6.6%
6 294
 
6.3%
7 283
 
6.1%
8 280
 
6.0%
Other values (2) 202
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 763
16.5%
0 683
14.8%
3 498
10.8%
5 462
10.0%
4 436
9.4%
2 425
9.2%
1 304
 
6.6%
6 294
 
6.3%
7 283
 
6.1%
8 280
 
6.0%
Other values (2) 202
 
4.4%

연락처
Text

MISSING 

Distinct166
Distinct (%)98.2%
Missing517
Missing (%)75.4%
Memory size5.5 KiB
2023-12-12T16:39:27.201301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters2028
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

Unique163 ?
Unique (%)96.4%

Sample

1st row042-226-5355
2nd row02-720-1654
3rd row070-7760-4409
4th row051-868-6454
5th row02-3775-3399
ValueCountFrequency (%)
031-576-4985 2
 
1.2%
062-371-3379 2
 
1.2%
02-2246-1647 2
 
1.2%
054-457-9204 1
 
0.6%
031-322-0509 1
 
0.6%
031-922-7954 1
 
0.6%
033-764-5588 1
 
0.6%
043-291-9133 1
 
0.6%
042-226-5355 1
 
0.6%
042-221-5412 1
 
0.6%
Other values (156) 156
92.3%
2023-12-12T16:39:27.716316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 338
16.7%
0 295
14.5%
3 210
10.4%
2 206
10.2%
5 194
9.6%
4 167
8.2%
7 144
7.1%
1 140
6.9%
6 128
 
6.3%
8 123
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1690
83.3%
Dash Punctuation 338
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 295
17.5%
3 210
12.4%
2 206
12.2%
5 194
11.5%
4 167
9.9%
7 144
8.5%
1 140
8.3%
6 128
7.6%
8 123
7.3%
9 83
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 338
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2028
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 338
16.7%
0 295
14.5%
3 210
10.4%
2 206
10.2%
5 194
9.6%
4 167
8.2%
7 144
7.1%
1 140
6.9%
6 128
 
6.3%
8 123
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2028
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 338
16.7%
0 295
14.5%
3 210
10.4%
2 206
10.2%
5 194
9.6%
4 167
8.2%
7 144
7.1%
1 140
6.9%
6 128
 
6.3%
8 123
 
6.1%

전문업 관련 사업자명
Text

Distinct651
Distinct (%)95.3%
Missing3
Missing (%)0.4%
Memory size5.5 KiB
2023-12-12T16:39:28.015956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length8.8770132
Min length2

Characters and Unicode

Total characters6063
Distinct characters410
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

Unique620 ?
Unique (%)90.8%

Sample

1st row사단법인 대전충남생명의숲
2nd row불교환경연대
3rd row푸른숲 문화연구회
4th row포힐 주식회사
5th row자연사랑연합 숲해설가 협회
ValueCountFrequency (%)
주식회사 74
 
7.0%
사단법인 48
 
4.5%
협동조합 30
 
2.8%
숲 27
 
2.6%
사회적협동조합 19
 
1.8%
농업회사법인 8
 
0.8%
숲과 6
 
0.6%
숲사랑 5
 
0.5%
숲해설가 5
 
0.5%
주 5
 
0.5%
Other values (722) 830
78.5%
2023-12-12T16:39:28.464815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
382
 
6.3%
숲 362
 
6.0%
사 273
 
4.5%
회 198
 
3.3%
협 159
 
2.6%
주 141
 
2.3%
동 135
 
2.2%
합 124
 
2.0%
조 123
 
2.0%
연 112
 
1.8%
Other values (400) 4054
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5494
90.6%
Space Separator 382
 
6.3%
Close Punctuation 75
 
1.2%
Open Punctuation 73
 
1.2%
Lowercase Letter 11
 
0.2%
Uppercase Letter 9
 
0.1%
Other Punctuation 7
 
0.1%
Other Symbol 6
 
0.1%
Decimal Number 5
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
숲 362
 
6.6%
사 273
 
5.0%
회 198
 
3.6%
협 159
 
2.9%
주 141
 
2.6%
동 135
 
2.5%
합 124
 
2.3%
조 123
 
2.2%
연 112
 
2.0%
교 105
 
1.9%
Other values (370) 3762
68.5%
Lowercase Letter
ValueCountFrequency (%)
d 2
18.2%
o 1
9.1%
r 1
9.1%
h 1
9.1%
z 1
9.1%
p 1
9.1%
a 1
9.1%
s 1
9.1%
f 1
9.1%
e 1
9.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
P 2
22.2%
I 1
11.1%
W 1
11.1%
E 1
11.1%
A 1
11.1%
G 1
11.1%
Other Punctuation
ValueCountFrequency (%)
: 3
42.9%
! 1
 
14.3%
, 1
 
14.3%
. 1
 
14.3%
& 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 2
40.0%
0 1
20.0%
Space Separator
ValueCountFrequency (%)
382
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5494
90.6%
Common 543
 
9.0%
Latin 20
 
0.3%
Han 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
숲 362
 
6.6%
사 273
 
5.0%
회 198
 
3.6%
협 159
 
2.9%
주 141
 
2.6%
동 135
 
2.5%
합 124
 
2.3%
조 123
 
2.2%
연 112
 
2.0%
교 105
 
1.9%
Other values (366) 3762
68.5%
Latin
ValueCountFrequency (%)
C 2
 
10.0%
d 2
 
10.0%
P 2
 
10.0%
o 1
 
5.0%
r 1
 
5.0%
h 1
 
5.0%
z 1
 
5.0%
p 1
 
5.0%
a 1
 
5.0%
s 1
 
5.0%
Other values (7) 7
35.0%
Common
ValueCountFrequency (%)
382
70.3%
) 75
 
13.8%
( 73
 
13.4%
: 3
 
0.6%
1 2
 
0.4%
2 2
 
0.4%
0 1
 
0.2%
! 1
 
0.2%
, 1
 
0.2%
. 1
 
0.2%
Other values (2) 2
 
0.4%
Han
ValueCountFrequency (%)
林 2
33.3%
作 1
16.7%
自 1
16.7%
愛 1
16.7%
休 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5488
90.5%
ASCII 563
 
9.3%
None 6
 
0.1%
CJK 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
382
67.9%
) 75
 
13.3%
( 73
 
13.0%
: 3
 
0.5%
C 2
 
0.4%
1 2
 
0.4%
d 2
 
0.4%
P 2
 
0.4%
2 2
 
0.4%
0 1
 
0.2%
Other values (19) 19
 
3.4%
Hangul
ValueCountFrequency (%)
숲 362
 
6.6%
사 273
 
5.0%
회 198
 
3.6%
협 159
 
2.9%
주 141
 
2.6%
동 135
 
2.5%
합 124
 
2.3%
조 123
 
2.2%
연 112
 
2.0%
교 105
 
1.9%
Other values (365) 3756
68.4%
None
ValueCountFrequency (%)
㈜ 6
100.0%
CJK
ValueCountFrequency (%)
林 2
33.3%
作 1
16.7%
自 1
16.7%
愛 1
16.7%
休 1
16.7%

형태
Categorical

Distinct45
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
<NA>
265 
개인
128 
영리법인
84 
비영리법인
72 
개인사업자
57 
Other values (40)
80 

Length

Max length26
Median length4
Mean length3.9606414
Min length2

Unique

Unique28 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 265
38.6%
개인 128
18.7%
영리법인 84
 
12.2%
비영리법인 72
 
10.5%
개인사업자 57
 
8.3%
법인 13
 
1.9%
비영리 10
 
1.5%
영리 5
 
0.7%
주식회사 4
 
0.6%
비영리민간단체 4
 
0.6%
Other values (35) 44
 
6.4%

Length

2023-12-12T16:39:28.602448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 265
37.7%
개인 130
18.5%
영리법인 86
 
12.2%
비영리법인 73
 
10.4%
개인사업자 57
 
8.1%
법인 14
 
2.0%
비영리 11
 
1.6%
영리 6
 
0.9%
협동조합 5
 
0.7%
주식회사 4
 
0.6%
Other values (39) 52
 
7.4%

업종구분
Text

MISSING 

Distinct98
Distinct (%)20.5%
Missing209
Missing (%)30.5%
Memory size5.5 KiB
2023-12-12T16:39:28.861322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length4.8050314
Min length1

Characters and Unicode

Total characters2292
Distinct characters98
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)16.6%

Sample

1st row서비스
2nd row교육서비스업
3rd row서비스업
4th row서비스
5th row서비스
ValueCountFrequency (%)
서비스 189
35.1%
서비스업 107
19.9%
교육서비스업 75
 
13.9%
교육서비스 34
 
6.3%
임업 7
 
1.3%
도소매 7
 
1.3%
및 7
 
1.3%
소매업 7
 
1.3%
업태 4
 
0.7%
도소매업 4
 
0.7%
Other values (78) 98
18.2%
2023-12-12T16:39:29.266180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 443
19.3%
서 440
19.2%
스 440
19.2%
업 256
11.2%
교 127
 
5.5%
육 126
 
5.5%
65
 
2.8%
, 60
 
2.6%
매 40
 
1.7%
소 35
 
1.5%
Other values (88) 260
11.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2151
93.8%
Other Punctuation 71
 
3.1%
Space Separator 65
 
2.8%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 443
20.6%
서 440
20.5%
스 440
20.5%
업 256
11.9%
교 127
 
5.9%
육 126
 
5.9%
매 40
 
1.9%
소 35
 
1.6%
도 29
 
1.3%
산 17
 
0.8%
Other values (81) 198
9.2%
Other Punctuation
ValueCountFrequency (%)
, 60
84.5%
/ 9
 
12.7%
. 2
 
2.8%
Space Separator
ValueCountFrequency (%)
65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2151
93.8%
Common 141
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 443
20.6%
서 440
20.5%
스 440
20.5%
업 256
11.9%
교 127
 
5.9%
육 126
 
5.9%
매 40
 
1.9%
소 35
 
1.6%
도 29
 
1.3%
산 17
 
0.8%
Other values (81) 198
9.2%
Common
ValueCountFrequency (%)
65
46.1%
, 60
42.6%
/ 9
 
6.4%
. 2
 
1.4%
) 2
 
1.4%
( 2
 
1.4%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2151
93.8%
ASCII 141
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 443
20.6%
서 440
20.5%
스 440
20.5%
업 256
11.9%
교 127
 
5.9%
육 126
 
5.9%
매 40
 
1.9%
소 35
 
1.6%
도 29
 
1.3%
산 17
 
0.8%
Other values (81) 198
9.2%
ASCII
ValueCountFrequency (%)
65
46.1%
, 60
42.6%
/ 9
 
6.4%
. 2
 
1.4%
) 2
 
1.4%
( 2
 
1.4%
- 1
 
0.7%

세부 구분
Text

MISSING 

Distinct352
Distinct (%)70.7%
Missing188
Missing (%)27.4%
Memory size5.5 KiB
2023-12-12T16:39:29.474602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length39
Mean length10.955823
Min length1

Characters and Unicode

Total characters5456
Distinct characters233
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique310 ?
Unique (%)62.2%

Sample

1st row숲해설 및 숲체험교육
2nd row숲해설가 양성
3rd row숲문화체험
4th row산림치유(숲해설)
5th row숲해설업
ValueCountFrequency (%)
숲해설 89
 
8.7%
및 57
 
5.6%
숲해설업 45
 
4.4%
산림교육 37
 
3.6%
교육 30
 
2.9%
숲체험 23
 
2.3%
체험학습 17
 
1.7%
유아숲교육업 17
 
1.7%
산림치유 16
 
1.6%
유아숲교육 15
 
1.5%
Other values (415) 676
66.1%
2023-12-12T16:39:29.934008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
539
 
9.9%
, 387
 
7.1%
숲 374
 
6.9%
교 310
 
5.7%
육 278
 
5.1%
설 238
 
4.4%
해 208
 
3.8%
산 191
 
3.5%
업 176
 
3.2%
림 162
 
3.0%
Other values (223) 2593
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4459
81.7%
Space Separator 539
 
9.9%
Other Punctuation 422
 
7.7%
Open Punctuation 17
 
0.3%
Close Punctuation 17
 
0.3%
Decimal Number 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
숲 374
 
8.4%
교 310
 
7.0%
육 278
 
6.2%
설 238
 
5.3%
해 208
 
4.7%
산 191
 
4.3%
업 176
 
3.9%
림 162
 
3.6%
유 146
 
3.3%
체 132
 
3.0%
Other values (212) 2244
50.3%
Other Punctuation
ValueCountFrequency (%)
, 387
91.7%
/ 18
 
4.3%
. 16
 
3.8%
& 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 16
94.1%
{ 1
 
5.9%
Close Punctuation
ValueCountFrequency (%)
) 16
94.1%
} 1
 
5.9%
Space Separator
ValueCountFrequency (%)
539
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4459
81.7%
Common 997
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
숲 374
 
8.4%
교 310
 
7.0%
육 278
 
6.2%
설 238
 
5.3%
해 208
 
4.7%
산 191
 
4.3%
업 176
 
3.9%
림 162
 
3.6%
유 146
 
3.3%
체 132
 
3.0%
Other values (212) 2244
50.3%
Common
ValueCountFrequency (%)
539
54.1%
, 387
38.8%
/ 18
 
1.8%
( 16
 
1.6%
. 16
 
1.6%
) 16
 
1.6%
1 1
 
0.1%
- 1
 
0.1%
} 1
 
0.1%
{ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4458
81.7%
ASCII 997
 
18.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
539
54.1%
, 387
38.8%
/ 18
 
1.8%
( 16
 
1.6%
. 16
 
1.6%
) 16
 
1.6%
1 1
 
0.1%
- 1
 
0.1%
} 1
 
0.1%
{ 1
 
0.1%
Hangul
ValueCountFrequency (%)
숲 374
 
8.4%
교 310
 
7.0%
육 278
 
6.2%
설 238
 
5.3%
해 208
 
4.7%
산 191
 
4.3%
업 176
 
3.9%
림 162
 
3.6%
유 146
 
3.3%
체 132
 
3.0%
Other values (211) 2243
50.3%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing686
Missing (%)100.0%
Memory size6.2 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing686
Missing (%)100.0%
Memory size6.2 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing686
Missing (%)100.0%
Memory size6.2 KiB

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing686
Missing (%)100.0%
Memory size6.2 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing686
Missing (%)100.0%
Memory size6.2 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing686
Missing (%)100.0%
Memory size6.2 KiB

Unnamed: 13
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)100.0%
Missing684
Missing (%)99.7%
Memory size1.5 KiB
False
 
1
True
 
1
(Missing)
684 
ValueCountFrequency (%)
False 1
 
0.1%
True 1
 
0.1%
(Missing) 684
99.7%
2023-12-12T16:39:30.051888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T16:39:25.352716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:39:30.121458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번형태업종구분Unnamed: 13
연번1.0000.5730.388NaN
형태0.5731.0000.947NaN
업종구분0.3880.9471.0000.000
Unnamed: 13NaNNaN0.0001.000
2023-12-12T16:39:30.222493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 13형태
Unnamed: 131.000NaN
형태NaN1.000
2023-12-12T16:39:30.349539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번형태Unnamed: 13
연번1.0000.2251.000
형태0.2251.000NaN
Unnamed: 131.000NaN1.000

Missing values

2023-12-12T16:39:25.485448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:39:25.674099image/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.
2023-12-12T16:39:25.809140image/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

연번팩스번호연락처전문업 관련 사업자명형태업종구분세부 구분Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13
01042-226-5356042-226-5355사단법인 대전충남생명의숲<NA>서비스숲해설 및 숲체험교육<NA><NA><NA><NA><NA><NA>False
1202-720-165702-720-1654불교환경연대비영리민간단체교육서비스업숲해설가 양성<NA><NA><NA><NA><NA><NA>True
23<NA>070-7760-4409푸른숲 문화연구회개인사업자서비스업숲문화체험<NA><NA><NA><NA><NA><NA><NA>
34051-418-6454051-868-6454포힐 주식회사<NA>서비스산림치유(숲해설)<NA><NA><NA><NA><NA><NA><NA>
45054-457-4588<NA>자연사랑연합 숲해설가 협회개인사업자서비스숲해설업<NA><NA><NA><NA><NA><NA><NA>
56054-474-3279<NA>협동조합 에코드림<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67<NA><NA>대한숲해설가협동조합영리법인서비스업숲해설, 유아숲교육업<NA><NA><NA><NA><NA><NA><NA>
7802-3775-341502-3775-3399사단법인 한국트레킹연맹<NA>서비스산림치유. 숲해설, 유아숲, 숲길체험, 프로그램 개발, 진행 및 교육<NA><NA><NA><NA><NA><NA><NA>
8902-3668-9718070-4821-5345주식회사 체험팩토리영리법인서비스산림교육<NA><NA><NA><NA><NA><NA><NA>
910031-8007-0765031-431-4245환경교육연구지원센터비영리민간단체서비스업산림교육, 숲해설, 유아숲해설<NA><NA><NA><NA><NA><NA><NA>
연번팩스번호연락처전문업 관련 사업자명형태업종구분세부 구분Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13
676679<NA><NA>또바기 숲<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
677680<NA><NA>(주)해든숲비영리법인비영리시민단체숲과마을을 잇는 문화<NA><NA><NA><NA><NA><NA><NA>
678681<NA><NA>생태누리교육개인<NA><NA><NA><NA><NA><NA><NA><NA><NA>
679682<NA><NA>또바기숲<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
680683<NA><NA>숲깨비 뚜룽개인<NA>숲해설, 유아숲<NA><NA><NA><NA><NA><NA><NA>
681684<NA><NA>문경숲연구소<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
682685064-757-0060<NA>(주)굿투어개인교육서비스업산림복지전문업<NA><NA><NA><NA><NA><NA><NA>
683686041-543-2162<NA>꿈나무숲연구소영리서비스국내외여행업<NA><NA><NA><NA><NA><NA><NA>
684687050-4083-8671<NA>꼬까나무개인소매업.서비스업각종교재및교구,숲체험활동지원<NA><NA><NA><NA><NA><NA><NA>
685688<NA><NA><NA>개인서비스유아숲교육업,숲체험,전래놀이,등산안내,숲해설<NA><NA><NA><NA><NA><NA><NA>