Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells32
Missing cells (%)< 0.1%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory722.7 KiB
Average record size in memory74.0 B

Variable types

Text4
DateTime2
Numeric2

Dataset

Description숲가꾸기사업에 투입된 사업별 트입인원 및 시공업체, 발주기관에 대한 자료입니다. (사업업, 사업기간, 사업면적, 사업종, 시공업체, 발주기관, 투입인원)
Author산림청
URLhttps://www.data.go.kr/data/15091332/fileData.do

Alerts

Dataset has 2 (< 0.1%) duplicate rowsDuplicates
사업면적 is highly skewed (γ1 = 50.29600166)Skewed
사업면적 has 612 (6.1%) zerosZeros

Reproduction

Analysis started2023-12-12 18:34:16.276923
Analysis finished2023-12-12 18:34:18.893803
Duration2.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업명
Text

Distinct9790
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T03:34:19.158515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length22.6426
Min length4

Characters and Unicode

Total characters226426
Distinct characters563
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9641 ?
Unique (%)96.4%

Sample

1st row2021년 산불예방숲가꾸기 사업 1차(1)
2nd row2016년 화정백야지구 숲가꾸기사업
3rd row사방댐 준설사업
4th row2019년 숲가꾸기 (재선충병 고사목제거) 사업 (연구어온지구)
5th row2018년 목재생산림 조림사업(낙동지구)
ValueCountFrequency (%)
2020년 1763
 
5.4%
2021년 1393
 
4.3%
2018년 1243
 
3.8%
2017년 1228
 
3.8%
2019년 1199
 
3.7%
2016년 1036
 
3.2%
조림지 965
 
3.0%
2015년 684
 
2.1%
숲가꾸기사업 603
 
1.9%
사업 520
 
1.6%
Other values (9040) 21774
67.2%
2023-12-13T03:34:19.669838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22432
 
9.9%
2 15469
 
6.8%
0 11708
 
5.2%
1 10470
 
4.6%
사 10279
 
4.5%
년 9492
 
4.2%
업 9457
 
4.2%
기 8333
 
3.7%
지 8277
 
3.7%
( 8239
 
3.6%
Other values (553) 112270
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138365
61.1%
Decimal Number 46758
 
20.7%
Space Separator 22432
 
9.9%
Open Punctuation 8285
 
3.7%
Close Punctuation 8281
 
3.7%
Dash Punctuation 1210
 
0.5%
Other Punctuation 798
 
0.4%
Math Symbol 209
 
0.1%
Connector Punctuation 61
 
< 0.1%
Lowercase Letter 18
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 10279
 
7.4%
년 9492
 
6.9%
업 9457
 
6.8%
기 8333
 
6.0%
지 8277
 
6.0%
구 5862
 
4.2%
가 5075
 
3.7%
꾸 4731
 
3.4%
림 4559
 
3.3%
조 4028
 
2.9%
Other values (503) 68272
49.3%
Decimal Number
ValueCountFrequency (%)
2 15469
33.1%
0 11708
25.0%
1 10470
22.4%
8 1613
 
3.4%
7 1574
 
3.4%
9 1465
 
3.1%
6 1436
 
3.1%
5 1131
 
2.4%
3 1061
 
2.3%
4 830
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 635
79.6%
. 93
 
11.7%
· 15
 
1.9%
? 15
 
1.9%
: 14
 
1.8%
/ 14
 
1.8%
？ 8
 
1.0%
& 2
 
0.3%
; 2
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
i 4
22.2%
c 4
22.2%
a 2
11.1%
p 2
11.1%
o 2
11.1%
s 2
11.1%
m 1
 
5.6%
k 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 8239
99.4%
[ 36
 
0.4%
【 6
 
0.1%
（ 2
 
< 0.1%
［ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 8234
99.4%
] 37
 
0.4%
】 6
 
0.1%
） 2
 
< 0.1%
］ 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 198
94.7%
> 5
 
2.4%
< 5
 
2.4%
+ 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
A 3
42.9%
B 2
28.6%
I 1
 
14.3%
C 1
 
14.3%
Space Separator
ValueCountFrequency (%)
22432
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1210
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 61
100.0%
Other Symbol
ValueCountFrequency (%)
┛ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138356
61.1%
Common 88036
38.9%
Latin 25
 
< 0.1%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 10279
 
7.4%
년 9492
 
6.9%
업 9457
 
6.8%
기 8333
 
6.0%
지 8277
 
6.0%
구 5862
 
4.2%
가 5075
 
3.7%
꾸 4731
 
3.4%
림 4559
 
3.3%
조 4028
 
2.9%
Other values (496) 68263
49.3%
Common
ValueCountFrequency (%)
22432
25.5%
2 15469
17.6%
0 11708
13.3%
1 10470
11.9%
( 8239
 
9.4%
) 8234
 
9.4%
8 1613
 
1.8%
7 1574
 
1.8%
9 1465
 
1.7%
6 1436
 
1.6%
Other values (28) 5396
 
6.1%
Latin
ValueCountFrequency (%)
i 4
16.0%
c 4
16.0%
A 3
12.0%
B 2
8.0%
a 2
8.0%
p 2
8.0%
o 2
8.0%
s 2
8.0%
m 1
 
4.0%
k 1
 
4.0%
Other values (2) 2
8.0%
Han
ValueCountFrequency (%)
熬 2
22.2%
硫 2
22.2%
轅 1
11.1%
龜 1
11.1%
前 1
11.1%
岩 1
11.1%
基 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138356
61.1%
ASCII 88015
38.9%
None 44
 
< 0.1%
CJK 6
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%
Box Drawing 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22432
25.5%
2 15469
17.6%
0 11708
13.3%
1 10470
11.9%
( 8239
 
9.4%
) 8234
 
9.4%
8 1613
 
1.8%
7 1574
 
1.8%
9 1465
 
1.7%
6 1436
 
1.6%
Other values (30) 5375
 
6.1%
Hangul
ValueCountFrequency (%)
사 10279
 
7.4%
년 9492
 
6.9%
업 9457
 
6.8%
기 8333
 
6.0%
지 8277
 
6.0%
구 5862
 
4.2%
가 5075
 
3.7%
꾸 4731
 
3.4%
림 4559
 
3.3%
조 4028
 
2.9%
Other values (496) 68263
49.3%
None
ValueCountFrequency (%)
· 15
34.1%
？ 8
18.2%
【 6
 
13.6%
】 6
 
13.6%
（ 2
 
4.5%
［ 2
 
4.5%
） 2
 
4.5%
］ 2
 
4.5%
１ 1
 
2.3%
Box Drawing
ValueCountFrequency (%)
┛ 2
100.0%
CJK
ValueCountFrequency (%)
熬 2
33.3%
轅 1
16.7%
前 1
16.7%
岩 1
16.7%
基 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
硫 2
66.7%
龜 1
33.3%

사업시작일
Date

Distinct1802
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2011-03-30 00:00:00
Maximum2021-09-06 00:00:00
2023-12-13T03:34:19.837204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:34:20.022012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업종료일
Date

Distinct2393
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2011-05-18 00:00:00
Maximum2022-10-22 00:00:00
2023-12-13T03:34:20.196602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:34:20.359131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct3393
Distinct (%)33.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean41.082089
Minimum0
Maximum7061
Zeros612
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:34:20.510405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111.105
median29.6
Q350
95-th percentile124.784
Maximum7061
Range7061
Interquartile range (IQR)38.895

Descriptive statistics

Standard deviation89.670652
Coefficient of variation (CV)2.1827189
Kurtosis3790.6402
Mean41.082089
Median Absolute Deviation (MAD)19.24
Skewness50.296002
Sum410779.81
Variance8040.8258
MonotonicityNot monotonic
2023-12-13T03:34:20.685955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 612
 
6.1%
1.0 164
 
1.6%
10.0 109
 
1.1%
50.0 87
 
0.9%
20.0 79
 
0.8%
5.0 72
 
0.7%
15.0 67
 
0.7%
30.0 64
 
0.6%
2.0 62
 
0.6%
3.0 59
 
0.6%
Other values (3383) 8624
86.2%
ValueCountFrequency (%)
0.0 612
6.1%
0.01 8
 
0.1%
0.02 3
 
< 0.1%
0.03 3
 
< 0.1%
0.04 1
 
< 0.1%
0.05 2
 
< 0.1%
0.06 5
 
0.1%
0.07 4
 
< 0.1%
0.08 4
 
< 0.1%
0.09 3
 
< 0.1%
ValueCountFrequency (%)
7061.0 1
< 0.1%
2000.0 1
< 0.1%
1500.0 1
< 0.1%
1108.0 1
< 0.1%
733.64 1
< 0.1%
700.0 1
< 0.1%
610.0 1
< 0.1%
600.0 1
< 0.1%
595.0 1
< 0.1%
588.8 1
< 0.1%

사업종
Text

Distinct1103
Distinct (%)11.0%
Missing13
Missing (%)0.1%
Memory size156.2 KiB
2023-12-13T03:34:21.024337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length5.5150696
Min length2

Characters and Unicode

Total characters55079
Distinct characters295
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique687 ?
Unique (%)6.9%

Sample

1st row산불예방숲가꾸기
2nd row천연림보육 등
3rd row사방사업
4th row큰나무가꾸기사업
5th row조림사업
ValueCountFrequency (%)
풀베기 1682
 
14.0%
숲가꾸기 1459
 
12.1%
조림 1166
 
9.7%
솎아베기 610
 
5.1%
어린나무가꾸기 522
 
4.3%
덩굴제거 318
 
2.6%
천연림개량 228
 
1.9%
조림지풀베기 203
 
1.7%
조림지 196
 
1.6%
공익림가꾸기 182
 
1.5%
Other values (778) 5469
45.4%
2023-12-13T03:34:21.845820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 6312
 
11.5%
림 3246
 
5.9%
가 3132
 
5.7%
베 3096
 
5.6%
꾸 3074
 
5.6%
조 2412
 
4.4%
풀 2215
 
4.0%
2053
 
3.7%
숲 1891
 
3.4%
사 1444
 
2.6%
Other values (285) 26204
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50842
92.3%
Space Separator 2053
 
3.7%
Other Punctuation 854
 
1.6%
Close Punctuation 514
 
0.9%
Open Punctuation 514
 
0.9%
Decimal Number 260
 
0.5%
Dash Punctuation 30
 
0.1%
Lowercase Letter 10
 
< 0.1%
Other Symbol 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 6312
 
12.4%
림 3246
 
6.4%
가 3132
 
6.2%
베 3096
 
6.1%
꾸 3074
 
6.0%
조 2412
 
4.7%
풀 2215
 
4.4%
숲 1891
 
3.7%
사 1444
 
2.8%
무 1219
 
2.4%
Other values (259) 22801
44.8%
Decimal Number
ValueCountFrequency (%)
2 80
30.8%
1 67
25.8%
0 56
21.5%
6 17
 
6.5%
9 15
 
5.8%
7 7
 
2.7%
8 6
 
2.3%
5 5
 
1.9%
3 5
 
1.9%
4 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 806
94.4%
. 26
 
3.0%
/ 11
 
1.3%
? 7
 
0.8%
？ 3
 
0.4%
& 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
m 3
30.0%
k 3
30.0%
a 2
20.0%
h 2
20.0%
Space Separator
ValueCountFrequency (%)
2053
100.0%
Close Punctuation
ValueCountFrequency (%)
) 514
100.0%
Open Punctuation
ValueCountFrequency (%)
( 514
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Other Symbol
ValueCountFrequency (%)
┛ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50839
92.3%
Common 4227
 
7.7%
Latin 10
 
< 0.1%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 6312
 
12.4%
림 3246
 
6.4%
가 3132
 
6.2%
베 3096
 
6.1%
꾸 3074
 
6.0%
조 2412
 
4.7%
풀 2215
 
4.4%
숲 1891
 
3.7%
사 1444
 
2.8%
무 1219
 
2.4%
Other values (256) 22798
44.8%
Common
ValueCountFrequency (%)
2053
48.6%
, 806
 
19.1%
) 514
 
12.2%
( 514
 
12.2%
2 80
 
1.9%
1 67
 
1.6%
0 56
 
1.3%
- 30
 
0.7%
. 26
 
0.6%
6 17
 
0.4%
Other values (12) 64
 
1.5%
Latin
ValueCountFrequency (%)
m 3
30.0%
k 3
30.0%
a 2
20.0%
h 2
20.0%
Han
ValueCountFrequency (%)
硫 1
33.3%
熬 1
33.3%
龜 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50839
92.3%
ASCII 4233
 
7.7%
None 3
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Box Drawing 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 6312
 
12.4%
림 3246
 
6.4%
가 3132
 
6.2%
베 3096
 
6.1%
꾸 3074
 
6.0%
조 2412
 
4.7%
풀 2215
 
4.4%
숲 1891
 
3.7%
사 1444
 
2.8%
무 1219
 
2.4%
Other values (256) 22798
44.8%
ASCII
ValueCountFrequency (%)
2053
48.5%
, 806
 
19.0%
) 514
 
12.1%
( 514
 
12.1%
2 80
 
1.9%
1 67
 
1.6%
0 56
 
1.3%
- 30
 
0.7%
. 26
 
0.6%
6 17
 
0.4%
Other values (14) 70
 
1.7%
None
ValueCountFrequency (%)
？ 3
100.0%
Box Drawing
ValueCountFrequency (%)
┛ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
硫 1
50.0%
龜 1
50.0%
CJK
ValueCountFrequency (%)
熬 1
100.0%

시공업체
Text

Distinct2759
Distinct (%)27.6%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T03:34:22.063736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length7.4681936
Min length2

Characters and Unicode

Total characters74667
Distinct characters433
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1135 ?
Unique (%)11.4%

Sample

1st row삼척영림단
2nd row주식회사 산림천
3rd row가온누리산림기술공사
4th row주식회사 숲
5th row대한조경건설(주)
ValueCountFrequency (%)
주식회사 870
 
7.4%
산림조합 219
 
1.9%
주 127
 
1.1%
유한회사 103
 
0.9%
산림조합중앙회 60
 
0.5%
산림기술사사무소 56
 
0.5%
김해시산림조합 51
 
0.4%
한라산림(주 41
 
0.3%
보성군산림조합 32
 
0.3%
춘천시산림조합 29
 
0.2%
Other values (2643) 10197
86.5%
2023-12-13T03:34:22.502923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
림 6257
 
8.4%
산 5304
 
7.1%
주 4807
 
6.4%
) 4096
 
5.5%
( 4079
 
5.5%
조 2318
 
3.1%
합 2168
 
2.9%
사 2089
 
2.8%
영 2064
 
2.8%
1788
 
2.4%
Other values (423) 39697
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63456
85.0%
Close Punctuation 4096
 
5.5%
Open Punctuation 4079
 
5.5%
Space Separator 1788
 
2.4%
Decimal Number 673
 
0.9%
Lowercase Letter 411
 
0.6%
Uppercase Letter 127
 
0.2%
Other Punctuation 18
 
< 0.1%
Other Symbol 13
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
림 6257
 
9.9%
산 5304
 
8.4%
주 4807
 
7.6%
조 2318
 
3.7%
합 2168
 
3.4%
사 2089
 
3.3%
영 2064
 
3.3%
단 1665
 
2.6%
회 1498
 
2.4%
업 1440
 
2.3%
Other values (363) 33846
53.3%
Lowercase Letter
ValueCountFrequency (%)
n 47
 
11.4%
j 36
 
8.8%
i 34
 
8.3%
u 31
 
7.5%
l 31
 
7.5%
e 28
 
6.8%
o 25
 
6.1%
s 21
 
5.1%
g 17
 
4.1%
h 17
 
4.1%
Other values (14) 124
30.2%
Uppercase Letter
ValueCountFrequency (%)
E 34
26.8%
N 33
26.0%
G 32
25.2%
A 11
 
8.7%
S 4
 
3.1%
O 2
 
1.6%
F 2
 
1.6%
K 2
 
1.6%
H 2
 
1.6%
C 1
 
0.8%
Other values (4) 4
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 143
21.2%
2 130
19.3%
3 121
18.0%
7 56
 
8.3%
0 48
 
7.1%
6 41
 
6.1%
5 40
 
5.9%
9 38
 
5.6%
8 31
 
4.6%
4 25
 
3.7%
Other Punctuation
ValueCountFrequency (%)
? 10
55.6%
？ 3
 
16.7%
. 2
 
11.1%
, 1
 
5.6%
& 1
 
5.6%
: 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 4096
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4079
100.0%
Space Separator
ValueCountFrequency (%)
1788
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63466
85.0%
Common 10660
 
14.3%
Latin 538
 
0.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
림 6257
 
9.9%
산 5304
 
8.4%
주 4807
 
7.6%
조 2318
 
3.7%
합 2168
 
3.4%
사 2089
 
3.3%
영 2064
 
3.3%
단 1665
 
2.6%
회 1498
 
2.4%
업 1440
 
2.3%
Other values (362) 33856
53.3%
Latin
ValueCountFrequency (%)
n 47
 
8.7%
j 36
 
6.7%
E 34
 
6.3%
i 34
 
6.3%
N 33
 
6.1%
G 32
 
5.9%
u 31
 
5.8%
l 31
 
5.8%
e 28
 
5.2%
o 25
 
4.6%
Other values (28) 207
38.5%
Common
ValueCountFrequency (%)
) 4096
38.4%
( 4079
38.3%
1788
16.8%
1 143
 
1.3%
2 130
 
1.2%
3 121
 
1.1%
7 56
 
0.5%
0 48
 
0.5%
6 41
 
0.4%
5 40
 
0.4%
Other values (11) 118
 
1.1%
Han
ValueCountFrequency (%)
怨 2
66.7%
鈺 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63453
85.0%
ASCII 11195
 
15.0%
None 16
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
림 6257
 
9.9%
산 5304
 
8.4%
주 4807
 
7.6%
조 2318
 
3.7%
합 2168
 
3.4%
사 2089
 
3.3%
영 2064
 
3.3%
단 1665
 
2.6%
회 1498
 
2.4%
업 1440
 
2.3%
Other values (361) 33843
53.3%
ASCII
ValueCountFrequency (%)
) 4096
36.6%
( 4079
36.4%
1788
16.0%
1 143
 
1.3%
2 130
 
1.2%
3 121
 
1.1%
7 56
 
0.5%
0 48
 
0.4%
n 47
 
0.4%
6 41
 
0.4%
Other values (48) 646
 
5.8%
None
ValueCountFrequency (%)
㈜ 13
81.2%
？ 3
 
18.8%
CJK
ValueCountFrequency (%)
怨 2
66.7%
鈺 1
33.3%

발주기관
Text

Distinct793
Distinct (%)7.9%
Missing16
Missing (%)0.2%
Memory size156.2 KiB
2023-12-13T03:34:22.818748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length19
Mean length6.2730369
Min length2

Characters and Unicode

Total characters62630
Distinct characters215
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique246 ?
Unique (%)2.5%

Sample

1st row삼척국유림관리소
2nd row여수시
3rd row충주국유림관리소
4th row거제시청 녹지과
5th row상주시청 산림녹지과
ValueCountFrequency (%)
산림과 367
 
3.1%
보성군청 319
 
2.7%
경상남도 216
 
1.8%
영주국유림관리소 209
 
1.8%
충주국유림관리소 195
 
1.6%
김해시 158
 
1.3%
고흥군청 148
 
1.2%
부여국유림관리소 135
 
1.1%
순천시청 133
 
1.1%
경상북도산림환경연구원북부지원 123
 
1.0%
Other values (578) 9892
83.2%
2023-12-13T03:34:23.294162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
림 4493
 
7.2%
군 4278
 
6.8%
청 4247
 
6.8%
산 2808
 
4.5%
소 2691
 
4.3%
시 2607
 
4.2%
관 2491
 
4.0%
리 2490
 
4.0%
국 2423
 
3.9%
유 2409
 
3.8%
Other values (205) 31693
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60628
96.8%
Space Separator 1917
 
3.1%
Other Punctuation 33
 
0.1%
Decimal Number 18
 
< 0.1%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Uppercase Letter 9
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
림 4493
 
7.4%
군 4278
 
7.1%
청 4247
 
7.0%
산 2808
 
4.6%
소 2691
 
4.4%
시 2607
 
4.3%
관 2491
 
4.1%
리 2490
 
4.1%
국 2423
 
4.0%
유 2409
 
4.0%
Other values (180) 29691
49.0%
Decimal Number
ValueCountFrequency (%)
0 5
27.8%
5 3
16.7%
6 3
16.7%
2 2
 
11.1%
1 2
 
11.1%
8 1
 
5.6%
4 1
 
5.6%
9 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
E 2
22.2%
A 2
22.2%
S 1
11.1%
U 1
11.1%
P 1
11.1%
D 1
11.1%
T 1
11.1%
Other Punctuation
ValueCountFrequency (%)
: 16
48.5%
? 12
36.4%
？ 5
 
15.2%
Space Separator
ValueCountFrequency (%)
1917
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Number
ValueCountFrequency (%)
⑤ 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60626
96.8%
Common 1993
 
3.2%
Latin 9
 
< 0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
림 4493
 
7.4%
군 4278
 
7.1%
청 4247
 
7.0%
산 2808
 
4.6%
소 2691
 
4.4%
시 2607
 
4.3%
관 2491
 
4.1%
리 2490
 
4.1%
국 2423
 
4.0%
유 2409
 
4.0%
Other values (179) 29689
49.0%
Common
ValueCountFrequency (%)
1917
96.2%
: 16
 
0.8%
? 12
 
0.6%
) 9
 
0.5%
( 9
 
0.5%
？ 5
 
0.3%
0 5
 
0.3%
- 4
 
0.2%
5 3
 
0.2%
6 3
 
0.2%
Other values (8) 10
 
0.5%
Latin
ValueCountFrequency (%)
E 2
22.2%
A 2
22.2%
S 1
11.1%
U 1
11.1%
P 1
11.1%
D 1
11.1%
T 1
11.1%
Han
ValueCountFrequency (%)
怨 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60625
96.8%
ASCII 1996
 
3.2%
None 5
 
< 0.1%
CJK 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
림 4493
 
7.4%
군 4278
 
7.1%
청 4247
 
7.0%
산 2808
 
4.6%
소 2691
 
4.4%
시 2607
 
4.3%
관 2491
 
4.1%
리 2490
 
4.1%
국 2423
 
4.0%
유 2409
 
4.0%
Other values (178) 29688
49.0%
ASCII
ValueCountFrequency (%)
1917
96.0%
: 16
 
0.8%
? 12
 
0.6%
) 9
 
0.5%
( 9
 
0.5%
0 5
 
0.3%
- 4
 
0.2%
5 3
 
0.2%
6 3
 
0.2%
E 2
 
0.1%
Other values (13) 16
 
0.8%
None
ValueCountFrequency (%)
？ 5
100.0%
CJK
ValueCountFrequency (%)
怨 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
⑤ 1
100.0%

투입인원
Real number (ℝ)

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9785
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:34:23.454697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q310
95-th percentile15
Maximum46
Range45
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.8016605
Coefficient of variation (CV)0.68806484
Kurtosis4.4434579
Mean6.9785
Median Absolute Deviation (MAD)3
Skewness1.2690693
Sum69785
Variance23.055943
MonotonicityNot monotonic
2023-12-13T03:34:23.579334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 2018
20.2%
7 1310
13.1%
9 863
8.6%
5 824
8.2%
6 776
 
7.8%
8 714
 
7.1%
10 698
 
7.0%
11 646
 
6.5%
4 440
 
4.4%
12 298
 
3.0%
Other values (33) 1413
14.1%
ValueCountFrequency (%)
1 2018
20.2%
2 194
 
1.9%
3 289
 
2.9%
4 440
 
4.4%
5 824
8.2%
6 776
 
7.8%
7 1310
13.1%
8 714
 
7.1%
9 863
8.6%
10 698
 
7.0%
ValueCountFrequency (%)
46 1
 
< 0.1%
43 1
 
< 0.1%
42 1
 
< 0.1%
41 1
 
< 0.1%
40 1
 
< 0.1%
38 2
< 0.1%
37 1
 
< 0.1%
36 3
< 0.1%
35 3
< 0.1%
34 2
< 0.1%

Interactions

2023-12-13T03:34:18.191954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:34:17.901794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:34:18.336815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:34:18.059835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:34:23.674717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업면적투입인원
사업면적1.0000.000
투입인원0.0001.000
2023-12-13T03:34:23.760718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업면적투입인원
사업면적1.0000.326
투입인원0.3261.000

Missing values

2023-12-13T03:34:18.493483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:34:18.664236image/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.
2023-12-13T03:34:18.811339image/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

사업명사업시작일사업종료일사업면적사업종시공업체발주기관투입인원
322272021년 산불예방숲가꾸기 사업 1차(1)2021-06-102021-06-1343.8산불예방숲가꾸기삼척영림단삼척국유림관리소16
53962016년 화정백야지구 숲가꾸기사업2016-02-112016-05-0962.31천연림보육 등주식회사 산림천여수시9
33511사방댐 준설사업2015-06-082015-07-023.0사방사업가온누리산림기술공사충주국유림관리소1
121942019년 숲가꾸기 (재선충병 고사목제거) 사업 (연구어온지구)2019-03-132019-04-0632.6큰나무가꾸기사업주식회사 숲거제시청 녹지과13
118412018년 목재생산림 조림사업(낙동지구)2018-03-262018-05-0422.2조림사업대한조경건설(주)상주시청 산림녹지과12
428112021년도 춘기 경제수 조림사업(1차)-장촌리 산64번지 외 7필지2021-03-292021-04-2611.01조림다올화천군산림조합10
89712017년 가을철 경제림 조성사업(중부지구)2017-10-242017-11-2817.9조림윤성에프씨엠임실군청8
97762019년 숲가꾸기사업 제3차2019-10-222019-11-1511.0숲가꾸기하동국유림영림단함양국유림관리소10
240412021년 조림사업(기번5)2021-03-152021-04-2320.5조림운림국유림영림단서부지방산림청 영암국유림관리소12
271872014년 숲가꾸기 1차사업(재장골지구)2014-01-272014-03-2764.0천연림개량 및 솎아베기(정량)문경시산림조합문경시청11
사업명사업시작일사업종료일사업면적사업종시공업체발주기관투입인원
121772018년 조림지 풀베기사업(현도문의지구)2018-06-262018-08-2474.34숲가꾸기 - 풀베기삼보임업주식회사청주시청13
287552020년 숲가꾸기사업 1지구 3임반2020-02-132020-03-0526.1솎아베기주식회사 우드랜드양양군6
46552020년 숲가꾸기(조림지가꾸기 제2차)사업(기번3)2020-06-302020-07-2747.3풀베기함양국유림영림단서부지방산림청 함양국유림관리소12
184002020년 정책숲가꾸기 사업2020-10-142020-11-0221.97숲가꾸기에스케이임업 주식회사경기도 부천시8
233782020년 경제수 조림사업(고달지구)2020-03-162020-04-1316.18조림곡성군 산림조합전라남도 곡성군청14
86242017년 간선임도 신설사업(하장 추동-갈전) 감리용역2017-03-062017-09-050.0임도사업해솔엔지니어링삼척시1
230652019년 사방댐설치사업(안흥 가천리)2019-04-162019-07-140.1사방댐횡성군산림조합횡성군1
273852016년 숲가꾸기 사업 (기번3) 재개2016-04-012016-04-2566.0천연림개량, 솎아베기영주시산림조합영주국유림관리소7
18262019년 조림지 잡관목 등 제거사업(산외지구)2019-10-142019-11-1233.0풀베기(주)숲으로보은군7
217402015년 어린나무가꾸기 사업 (하반기)2015-11-172015-12-3188.24어린나무가꾸기나주시 산림조합나주시청 산림공원과7

Duplicate rows

Most frequently occurring

사업명사업시작일사업종료일사업면적사업종시공업체발주기관투입인원# duplicates
02020년 풀베기(2차) 사업 감리용역(숲감리9)2020-08-192020-09-28133.8풀베기 감리용역산림기술사사무소 현산영덕국유림관리소12
12021년 조림지풀베기(1차-1회)사업(남부지구) 감리용역2021-05-142021-07-17109.84풀베기 감리용역산림기술사 에덴숲제천산림조합42