Overview

Dataset statistics

Number of variables10
Number of observations236
Missing cells236
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.3 KiB
Average record size in memory83.6 B

Variable types

Unsupported1
Numeric2
Categorical4
Text3

Dataset

Description경상남도 창원시의 온실가스배출량 현황(에너지별배출량, 산업공정별배출량, 농축산흡수량, 폐기물별배출량)입니다.
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15036654

Alerts

단위 is highly overall correlated with 원단위 and 3 other fieldsHigh correlation
Unnamed: 2 is highly overall correlated with 부문 and 3 other fieldsHigh correlation
Unnamed: 3 is highly overall correlated with 부문 and 3 other fieldsHigh correlation
지표 is highly overall correlated with 부문 and 4 other fieldsHigh correlation
부문 is highly overall correlated with Unnamed: 2 and 2 other fieldsHigh correlation
원단위 is highly overall correlated with 단위 and 1 other fieldsHigh correlation
Unnamed: 0 has 236 (100.0%) missing valuesMissing
부문 has unique valuesUnique
감축기술 has unique valuesUnique
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 23:59:33.874750
Analysis finished2023-12-10 23:59:35.440233
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)100.0%
Memory size2.2 KiB

부문
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct236
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.5
Minimum1
Maximum236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T08:59:35.510828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.75
Q159.75
median118.5
Q3177.25
95-th percentile224.25
Maximum236
Range235
Interquartile range (IQR)117.5

Descriptive statistics

Standard deviation68.271517
Coefficient of variation (CV)0.57613094
Kurtosis-1.2
Mean118.5
Median Absolute Deviation (MAD)59
Skewness0
Sum27966
Variance4661
MonotonicityStrictly increasing
2023-12-11T08:59:35.644853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
164 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
Other values (226) 226
95.8%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
236 1
0.4%
235 1
0.4%
234 1
0.4%
233 1
0.4%
232 1
0.4%
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%

Unnamed: 2
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
에너지
193 
비에너지
43 

Length

Max length4
Median length3
Mean length3.1822034
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
에너지 193
81.8%
비에너지 43
 
18.2%

Length

2023-12-11T08:59:35.766558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:59:35.859998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
에너지 193
81.8%
비에너지 43
 
18.2%

Unnamed: 3
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
건물
130 
수송
63 
농업/축산
19 
폐기물
17 
토지/녹지
 
7

Length

Max length5
Median length2
Mean length2.4025424
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물 130
55.1%
수송 63
26.7%
농업/축산 19
 
8.1%
폐기물 17
 
7.2%
토지/녹지 7
 
3.0%

Length

2023-12-11T08:59:35.956362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:59:36.088415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물 130
55.1%
수송 63
26.7%
농업/축산 19
 
8.1%
폐기물 17
 
7.2%
토지/녹지 7
 
3.0%

감축기술
Text

UNIQUE 

Distinct236
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T08:59:36.357216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length18.275424
Min length6

Characters and Unicode

Total characters4313
Distinct characters323
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)100.0%

Sample

1st row1. 그린홈 보급
2nd row2. 빗물재이용
3rd row3. 빗물재이용 시설 확대
4th row4. 수소연료전지(발전용)
5th row5. 태양열 온수기 도입
ValueCountFrequency (%)
보급 24
 
2.5%
확대 16
 
1.7%
에너지 11
 
1.2%
고효율 11
 
1.2%
및 10
 
1.1%
시스템 9
 
1.0%
친환경 8
 
0.8%
활성화 7
 
0.7%
냉난방 7
 
0.7%
도입 7
 
0.7%
Other values (624) 833
88.3%
2023-12-11T08:59:36.840292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
707
 
16.4%
. 236
 
5.5%
1 160
 
3.7%
2 95
 
2.2%
) 84
 
1.9%
( 84
 
1.9%
기 79
 
1.8%
이 61
 
1.4%
보 61
 
1.4%
급 60
 
1.4%
Other values (313) 2686
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2474
57.4%
Space Separator 707
 
16.4%
Decimal Number 623
 
14.4%
Other Punctuation 250
 
5.8%
Close Punctuation 85
 
2.0%
Open Punctuation 85
 
2.0%
Uppercase Letter 45
 
1.0%
Connector Punctuation 17
 
0.4%
Lowercase Letter 9
 
0.2%
Dash Punctuation 7
 
0.2%
Other values (3) 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 79
 
3.2%
이 61
 
2.5%
보 61
 
2.5%
급 60
 
2.4%
전 59
 
2.4%
시 58
 
2.3%
용 47
 
1.9%
지 44
 
1.8%
스 43
 
1.7%
도 39
 
1.6%
Other values (265) 1923
77.7%
Uppercase Letter
ValueCountFrequency (%)
L 11
24.4%
D 6
13.3%
E 6
13.3%
G 6
13.3%
N 5
11.1%
C 2
 
4.4%
R 2
 
4.4%
T 2
 
4.4%
S 1
 
2.2%
H 1
 
2.2%
Other values (3) 3
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 160
25.7%
2 95
15.2%
3 51
 
8.2%
0 49
 
7.9%
4 47
 
7.5%
5 46
 
7.4%
6 46
 
7.4%
8 43
 
6.9%
7 43
 
6.9%
9 43
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
z 1
11.1%
t 1
11.1%
l 1
11.1%
k 1
11.1%
r 1
11.1%
o 1
11.1%
w 1
11.1%
Other Punctuation
ValueCountFrequency (%)
. 236
94.4%
, 9
 
3.6%
% 2
 
0.8%
· 2
 
0.8%
/ 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
+ 2
33.3%
→ 2
33.3%
> 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 84
98.8%
] 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 84
98.8%
[ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
707
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 3
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2474
57.4%
Common 1785
41.4%
Latin 54
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 79
 
3.2%
이 61
 
2.5%
보 61
 
2.5%
급 60
 
2.4%
전 59
 
2.4%
시 58
 
2.3%
용 47
 
1.9%
지 44
 
1.8%
스 43
 
1.7%
도 39
 
1.6%
Other values (265) 1923
77.7%
Common
ValueCountFrequency (%)
707
39.6%
. 236
 
13.2%
1 160
 
9.0%
2 95
 
5.3%
) 84
 
4.7%
( 84
 
4.7%
3 51
 
2.9%
0 49
 
2.7%
4 47
 
2.6%
5 46
 
2.6%
Other values (17) 226
 
12.7%
Latin
ValueCountFrequency (%)
L 11
20.4%
D 6
11.1%
E 6
11.1%
G 6
11.1%
N 5
9.3%
C 2
 
3.7%
e 2
 
3.7%
R 2
 
3.7%
T 2
 
3.7%
S 1
 
1.9%
Other values (11) 11
20.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2474
57.4%
ASCII 1832
42.5%
Letterlike Symbols 3
 
0.1%
Arrows 2
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
707
38.6%
. 236
 
12.9%
1 160
 
8.7%
2 95
 
5.2%
) 84
 
4.6%
( 84
 
4.6%
3 51
 
2.8%
0 49
 
2.7%
4 47
 
2.6%
5 46
 
2.5%
Other values (35) 273
 
14.9%
Hangul
ValueCountFrequency (%)
기 79
 
3.2%
이 61
 
2.5%
보 61
 
2.5%
급 60
 
2.4%
전 59
 
2.4%
시 58
 
2.3%
용 47
 
1.9%
지 44
 
1.8%
스 43
 
1.7%
도 39
 
1.6%
Other values (265) 1923
77.7%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
None
ValueCountFrequency (%)
· 2
100.0%

원단위
Real number (ℝ)

HIGH CORRELATION 

Distinct191
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300.0628
Minimum3.65 × 10-6
Maximum32653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T08:59:36.976403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.65 × 10-6
5-th percentile0.0003
Q10.01605
median0.3165
Q31.89675
95-th percentile674.651
Maximum32653
Range32653
Interquartile range (IQR)1.8807

Descriptive statistics

Standard deviation2365.3391
Coefficient of variation (CV)7.8828136
Kurtosis154.50835
Mean300.0628
Median Absolute Deviation (MAD)0.3152
Skewness11.874868
Sum70814.821
Variance5594829.2
MonotonicityNot monotonic
2023-12-11T08:59:37.113825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 8
 
3.4%
1.5724 4
 
1.7%
0.0003 4
 
1.7%
0.63 4
 
1.7%
0.0008 3
 
1.3%
0.403 3
 
1.3%
2.06 3
 
1.3%
0.035 3
 
1.3%
5.9 3
 
1.3%
5.0 2
 
0.8%
Other values (181) 199
84.3%
ValueCountFrequency (%)
3.6500000000000006e-06 1
0.4%
3.98e-06 1
0.4%
8.37e-06 1
0.4%
9.02e-06 1
0.4%
1.23e-05 1
0.4%
2.85e-05 1
0.4%
0.0001 1
0.4%
0.000178 1
0.4%
0.000192 1
0.4%
0.000249 1
0.4%
ValueCountFrequency (%)
32653.0 1
0.4%
13664.3742 1
0.4%
6832.1871 1
0.4%
4648.0 1
0.4%
1775.41 1
0.4%
1763.0 1
0.4%
1530.0 1
0.4%
1329.68 1
0.4%
1188.0 1
0.4%
917.0 1
0.4%

단위
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
tCO2eq/대
60 
tCO2eq/가구
33 
tCO2eq/m2
21 
tCO2eq/kW
15 
tCO2eq/톤
12 
Other values (37)
95 

Length

Max length13
Median length12
Mean length9.059322
Min length8

Unique

Unique16 ?
Unique (%)6.8%

Sample

1st rowtCO2eq/가구
2nd rowtCO2eq/가구
3rd rowtCO2eq/m3
4th rowtCO2eq/kW
5th rowtCO2eq/가구

Common Values

ValueCountFrequency (%)
tCO2eq/대 60
25.4%
tCO2eq/가구 33
14.0%
tCO2eq/m2 21
 
8.9%
tCO2eq/kW 15
 
6.4%
tCO2eq/톤 12
 
5.1%
tCO2eq/ha/년 10
 
4.2%
tCO2eq/대·년 8
 
3.4%
tCO2eq/km 6
 
2.5%
tCO2eq/m3 6
 
2.5%
tCO2eq/개·년 6
 
2.5%
Other values (32) 59
25.0%

Length

2023-12-11T08:59:37.240091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tco2eq/대 60
25.4%
tco2eq/가구 33
14.0%
tco2eq/m2 21
 
8.9%
tco2eq/kw 15
 
6.4%
tco2eq/톤 12
 
5.1%
tco2eq/ha/년 10
 
4.2%
tco2eq/대·년 8
 
3.4%
tco2eq/km 6
 
2.5%
tco2eq/m3 6
 
2.5%
tco2eq/개·년 6
 
2.5%
Other values (32) 59
25.0%

지표
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
대
55 
가구
33 
m2
21 
kW
15 
톤
12 
Other values (36)
100 

Length

Max length11
Median length10
Mean length1.9788136
Min length1

Unique

Unique18 ?
Unique (%)7.6%

Sample

1st row가구
2nd row가구
3rd rowm3
4th rowkW
5th row가구

Common Values

ValueCountFrequency (%)
대 55
23.3%
가구 33
14.0%
m2 21
 
8.9%
kW 15
 
6.4%
톤 12
 
5.1%
대수 11
 
4.7%
ha·년 10
 
4.2%
km 9
 
3.8%
개수 6
 
2.5%
개 6
 
2.5%
Other values (31) 58
24.6%

Length

2023-12-11T08:59:37.356055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 55
23.3%
가구 33
14.0%
m2 21
 
8.9%
kw 15
 
6.4%
톤 12
 
5.1%
대수 11
 
4.7%
ha·년 10
 
4.2%
km 9
 
3.8%
m3 6
 
2.5%
개수 6
 
2.5%
Other values (31) 58
24.6%

출처
Text

Distinct51
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T08:59:37.587777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length101
Mean length36.148305
Min length6

Characters and Unicode

Total characters8531
Distinct characters268
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)13.6%

Sample

1st row지자체 온실가스 통합관리 지침, 한국환경공단, 2013
2nd row온실가스 감축을 위한 실천방안 수립연구, 국립환경과학원, 2012
3rd row온실가스 감축을 위한 실천방안 수립연구, 국립환경과학원, 2012
4th row지자체 온실가스 통합관리 지침, 한국환경공단, 2013
5th row지자체 온실가스 통합관리 지침, 한국환경공단, 2013
ValueCountFrequency (%)
온실가스 193
 
12.4%
한국환경공단 124
 
7.9%
지자체 116
 
7.4%
2013 114
 
7.3%
지침 109
 
7.0%
통합관리 109
 
7.0%
및 24
 
1.5%
위한 23
 
1.5%
국립환경과학원 23
 
1.5%
감축을 23
 
1.5%
Other values (216) 703
45.0%
2023-12-11T08:59:37.970683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1325
 
15.5%
, 453
 
5.3%
지 263
 
3.1%
2 249
 
2.9%
0 242
 
2.8%
실 229
 
2.7%
1 225
 
2.6%
가 218
 
2.6%
스 218
 
2.6%
온 193
 
2.3%
Other values (258) 4916
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5117
60.0%
Space Separator 1325
 
15.5%
Decimal Number 975
 
11.4%
Other Punctuation 631
 
7.4%
Lowercase Letter 306
 
3.6%
Open Punctuation 53
 
0.6%
Close Punctuation 53
 
0.6%
Uppercase Letter 52
 
0.6%
Dash Punctuation 8
 
0.1%
Math Symbol 6
 
0.1%
Other values (2) 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 263
 
5.1%
실 229
 
4.5%
가 218
 
4.3%
스 218
 
4.3%
온 193
 
3.8%
경 182
 
3.6%
국 174
 
3.4%
환 171
 
3.3%
한 165
 
3.2%
단 157
 
3.1%
Other values (200) 3147
61.5%
Lowercase Letter
ValueCountFrequency (%)
k 42
13.7%
t 42
13.7%
w 38
12.4%
r 34
11.1%
m 28
9.2%
o 28
9.2%
s 26
8.5%
e 18
5.9%
h 16
 
5.2%
p 16
 
5.2%
Other values (6) 18
5.9%
Uppercase Letter
ValueCountFrequency (%)
G 10
19.2%
N 7
13.5%
V 6
11.5%
C 6
11.5%
L 6
11.5%
S 5
9.6%
P 3
 
5.8%
B 2
 
3.8%
A 2
 
3.8%
H 2
 
3.8%
Other values (3) 3
 
5.8%
Decimal Number
ValueCountFrequency (%)
2 249
25.5%
0 242
24.8%
1 225
23.1%
3 125
12.8%
5 33
 
3.4%
6 32
 
3.3%
7 32
 
3.3%
4 20
 
2.1%
8 13
 
1.3%
9 4
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 453
71.8%
. 69
 
10.9%
/ 47
 
7.4%
: 42
 
6.7%
· 15
 
2.4%
% 3
 
0.5%
※ 1
 
0.2%
* 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 46
86.8%
[ 7
 
13.2%
Close Punctuation
ValueCountFrequency (%)
) 46
86.8%
] 7
 
13.2%
Math Symbol
ValueCountFrequency (%)
> 3
50.0%
= 3
50.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅰ 2
50.0%
Space Separator
ValueCountFrequency (%)
1325
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5117
60.0%
Common 3053
35.8%
Latin 361
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 263
 
5.1%
실 229
 
4.5%
가 218
 
4.3%
스 218
 
4.3%
온 193
 
3.8%
경 182
 
3.6%
국 174
 
3.4%
환 171
 
3.3%
한 165
 
3.2%
단 157
 
3.1%
Other values (200) 3147
61.5%
Latin
ValueCountFrequency (%)
k 42
11.6%
t 42
11.6%
w 38
10.5%
r 34
9.4%
m 28
 
7.8%
o 28
 
7.8%
s 26
 
7.2%
e 18
 
5.0%
h 16
 
4.4%
p 16
 
4.4%
Other values (20) 73
20.2%
Common
ValueCountFrequency (%)
1325
43.4%
, 453
 
14.8%
2 249
 
8.2%
0 242
 
7.9%
1 225
 
7.4%
3 125
 
4.1%
. 69
 
2.3%
/ 47
 
1.5%
( 46
 
1.5%
) 46
 
1.5%
Other values (18) 226
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5117
60.0%
ASCII 3392
39.8%
None 15
 
0.2%
Number Forms 4
 
< 0.1%
Punctuation 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1325
39.1%
, 453
 
13.4%
2 249
 
7.3%
0 242
 
7.1%
1 225
 
6.6%
3 125
 
3.7%
. 69
 
2.0%
/ 47
 
1.4%
( 46
 
1.4%
) 46
 
1.4%
Other values (42) 565
16.7%
Hangul
ValueCountFrequency (%)
지 263
 
5.1%
실 229
 
4.5%
가 218
 
4.3%
스 218
 
4.3%
온 193
 
3.8%
경 182
 
3.6%
국 174
 
3.4%
환 171
 
3.3%
한 165
 
3.2%
단 157
 
3.1%
Other values (200) 3147
61.5%
None
ValueCountFrequency (%)
· 15
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
50.0%
Ⅰ 2
50.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎥ 1
100.0%

Unnamed: 9
Text

Distinct212
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T08:59:38.216283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length13.733051
Min length2

Characters and Unicode

Total characters3241
Distinct characters318
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)80.1%

Sample

1st row그린홈 보급
2nd row빗물재이용
3rd row빗물재이용 시설 확대
4th row수소연료전지(발전용)
5th row태양열 온수기 도입
ValueCountFrequency (%)
보급 24
 
3.4%
확대 16
 
2.3%
에너지 11
 
1.6%
고효율 11
 
1.6%
및 10
 
1.4%
시스템 9
 
1.3%
친환경 8
 
1.1%
활성화 7
 
1.0%
줄이기 7
 
1.0%
제품 7
 
1.0%
Other values (389) 597
84.4%
2023-12-11T08:59:38.553496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
471
 
14.5%
) 84
 
2.6%
( 84
 
2.6%
기 79
 
2.4%
보 61
 
1.9%
이 61
 
1.9%
급 60
 
1.9%
전 59
 
1.8%
시 58
 
1.8%
용 47
 
1.5%
Other values (308) 2177
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2474
76.3%
Space Separator 471
 
14.5%
Close Punctuation 85
 
2.6%
Open Punctuation 85
 
2.6%
Uppercase Letter 45
 
1.4%
Decimal Number 23
 
0.7%
Connector Punctuation 17
 
0.5%
Other Punctuation 14
 
0.4%
Lowercase Letter 9
 
0.3%
Dash Punctuation 7
 
0.2%
Other values (3) 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 79
 
3.2%
보 61
 
2.5%
이 61
 
2.5%
급 60
 
2.4%
전 59
 
2.4%
시 58
 
2.3%
용 47
 
1.9%
지 44
 
1.8%
스 43
 
1.7%
도 39
 
1.6%
Other values (265) 1923
77.7%
Uppercase Letter
ValueCountFrequency (%)
L 11
24.4%
E 6
13.3%
D 6
13.3%
G 6
13.3%
N 5
11.1%
C 2
 
4.4%
R 2
 
4.4%
T 2
 
4.4%
H 1
 
2.2%
S 1
 
2.2%
Other values (3) 3
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
z 1
11.1%
t 1
11.1%
k 1
11.1%
r 1
11.1%
o 1
11.1%
w 1
11.1%
l 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 6
26.1%
0 6
26.1%
2 4
17.4%
4 3
13.0%
5 2
 
8.7%
6 2
 
8.7%
Other Punctuation
ValueCountFrequency (%)
, 9
64.3%
% 2
 
14.3%
· 2
 
14.3%
/ 1
 
7.1%
Math Symbol
ValueCountFrequency (%)
+ 2
33.3%
→ 2
33.3%
> 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 84
98.8%
] 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 84
98.8%
[ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
471
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 3
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2474
76.3%
Common 713
 
22.0%
Latin 54
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 79
 
3.2%
보 61
 
2.5%
이 61
 
2.5%
급 60
 
2.4%
전 59
 
2.4%
시 58
 
2.3%
용 47
 
1.9%
지 44
 
1.8%
스 43
 
1.7%
도 39
 
1.6%
Other values (265) 1923
77.7%
Common
ValueCountFrequency (%)
471
66.1%
) 84
 
11.8%
( 84
 
11.8%
_ 17
 
2.4%
, 9
 
1.3%
- 7
 
1.0%
1 6
 
0.8%
0 6
 
0.8%
2 4
 
0.6%
℃ 3
 
0.4%
Other values (12) 22
 
3.1%
Latin
ValueCountFrequency (%)
L 11
20.4%
E 6
11.1%
D 6
11.1%
G 6
11.1%
N 5
9.3%
C 2
 
3.7%
R 2
 
3.7%
e 2
 
3.7%
T 2
 
3.7%
H 1
 
1.9%
Other values (11) 11
20.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2474
76.3%
ASCII 760
 
23.4%
Letterlike Symbols 3
 
0.1%
Arrows 2
 
0.1%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
471
62.0%
) 84
 
11.1%
( 84
 
11.1%
_ 17
 
2.2%
L 11
 
1.4%
, 9
 
1.2%
- 7
 
0.9%
E 6
 
0.8%
1 6
 
0.8%
D 6
 
0.8%
Other values (30) 59
 
7.8%
Hangul
ValueCountFrequency (%)
기 79
 
3.2%
보 61
 
2.5%
이 61
 
2.5%
급 60
 
2.4%
전 59
 
2.4%
시 58
 
2.3%
용 47
 
1.9%
지 44
 
1.8%
스 43
 
1.7%
도 39
 
1.6%
Other values (265) 1923
77.7%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
None
ValueCountFrequency (%)
· 2
100.0%

Interactions

2023-12-11T08:59:34.962692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:59:34.798740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:59:35.053301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:59:34.873195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:59:38.648637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부문Unnamed: 2Unnamed: 3원단위단위지표출처
부문1.0000.9970.9810.0000.8680.8780.922
Unnamed: 20.9971.0001.0000.0580.9400.9100.924
Unnamed: 30.9811.0001.0000.1170.9340.9490.929
원단위0.0000.0580.1171.0000.8960.9000.655
단위0.8680.9400.9340.8961.0000.9990.951
지표0.8780.9100.9490.9000.9991.0000.956
출처0.9220.9240.9290.6550.9510.9561.000
2023-12-11T08:59:39.031549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단위Unnamed: 2Unnamed: 3지표
단위1.0000.7530.6910.947
Unnamed: 20.7531.0000.9940.754
Unnamed: 30.6910.9941.0000.724
지표0.9470.7540.7241.000
2023-12-11T08:59:39.130768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부문원단위Unnamed: 2Unnamed: 3단위지표
부문1.0000.2990.9340.7940.4850.501
원단위0.2991.0000.0700.0430.6170.621
Unnamed: 20.9340.0701.0000.9940.7530.754
Unnamed: 30.7940.0430.9941.0000.6910.724
단위0.4850.6170.7530.6911.0000.947
지표0.5010.6210.7540.7240.9471.000

Missing values

2023-12-11T08:59:35.209172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:59:35.380363image/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

Unnamed: 0부문Unnamed: 2Unnamed: 3감축기술원단위단위지표출처Unnamed: 9
0<NA>1에너지건물1. 그린홈 보급2.06tCO2eq/가구가구지자체 온실가스 통합관리 지침, 한국환경공단, 2013그린홈 보급
1<NA>2에너지건물2. 빗물재이용0.0342tCO2eq/가구가구온실가스 감축을 위한 실천방안 수립연구, 국립환경과학원, 2012빗물재이용
2<NA>3에너지건물3. 빗물재이용 시설 확대0.0003tCO2eq/m3m3온실가스 감축을 위한 실천방안 수립연구, 국립환경과학원, 2012빗물재이용 시설 확대
3<NA>4에너지건물4. 수소연료전지(발전용)2.569tCO2eq/kWkW지자체 온실가스 통합관리 지침, 한국환경공단, 2013수소연료전지(발전용)
4<NA>5에너지건물5. 태양열 온수기 도입0.0024tCO2eq/가구가구지자체 온실가스 통합관리 지침, 한국환경공단, 2013태양열 온수기 도입
5<NA>6에너지건물6. 지열 냉난방 시스템 보급(가정)1.0546tCO2eq/kWkW온실가스 감축을 위한 실천방안 수립연구, 국립환경과학원, 2012지열 냉난방 시스템 보급(가정)
6<NA>7에너지건물7. 지열 냉난방 시스템 보급(상업), 냉방 LNG0.0014tCO2eq/m2m2온실가스 감축을 위한 실천방안 수립연구, 국립환경과학원, 2012지열 냉난방 시스템 보급(상업), 냉방 LNG
7<NA>8에너지건물8. 지열 냉난방 시스템 보급(상업), 냉방 전력0.0026tCO2eq/m2m2온실가스 감축을 위한 실천방안 수립연구, 국립환경과학원, 2012지열 냉난방 시스템 보급(상업), 냉방 전력
8<NA>9에너지건물9. 지열 냉난방 시스템 보급(상업), 난방 LNG0.0222tCO2eq/m2m2온실가스 감축을 위한 실천방안 수립연구, 국립환경과학원, 2012지열 냉난방 시스템 보급(상업), 난방 LNG
9<NA>10에너지건물10. 태양광 주택보급1.5724tCO2eq/가구가구온실가스 감축을 위한 실천방안 수립연구, 국립환경과학원, 2012태양광 주택보급
Unnamed: 0부문Unnamed: 2Unnamed: 3감축기술원단위단위지표출처Unnamed: 9
226<NA>227비에너지폐기물227. 하수처리장 생물반응조 송풍량 조정0.003998tCO2eq/m3/년m3(송풍량)·년폐기물부문 온실가스 감축 적용 사례집, 한국환경공단, 2014하수처리장 생물반응조 송풍량 조정
227<NA>228비에너지폐기물228. 탈취팬 인버터 주파수 제어(60→45Hz)152.0tCO2eq/년년폐기물부문 온실가스 감축 적용 사례집, 한국환경공단, 2014탈취팬 인버터 주파수 제어(60→45Hz)
228<NA>229비에너지폐기물229. 소각처리시 SCR 저온촉매 사용(220→200℃)19.0tCO2eq/℃/년℃·년폐기물부문 온실가스 감축 적용 사례집, 한국환경공단, 2014소각처리시 SCR 저온촉매 사용(220→200℃)
229<NA>230비에너지토지/녹지230. 탄소중립공원 및 숲가꾸기(조성면적)10.4tCO2eq/haha지자체 온실가스 통합관리 지침, 한국환경공단, 2013탄소중립공원 및 숲가꾸기(조성면적)
230<NA>231비에너지토지/녹지231. 탄소중립공원 및 숲가꾸기(보급나무)0.0091tCO2eq/그루그루지자체 온실가스 통합관리 지침, 한국환경공단, 2013탄소중립공원 및 숲가꾸기(보급나무)
231<NA>232비에너지토지/녹지232. 가로수 심기0.043tCO2eq/그루그루지자체 온실가스 통합관리 지침, 한국환경공단, 2013가로수 심기
232<NA>233비에너지토지/녹지233. 옥상녹화사업0.015tCO2eq/m2m2지자체 온실가스 통합관리 지침, 한국환경공단, 2013옥상녹화사업
233<NA>234비에너지토지/녹지234. 바다숲 조성257.0tCO2eq/haha지자체 온실가스 통합관리 지침, 한국환경공단, 2013바다숲 조성
234<NA>235비에너지토지/녹지235. 산림바이오매스 생산 및 보급4.5tCO2eq/대대수충청남도, 충청남도 2015년도 온실가스 감축 이행평가 및 2016년도 감축계획 수립, 2016산림바이오매스 생산 및 보급
235<NA>236비에너지토지/녹지236. 목조건축물 신축0.0037tCO2eq/m3/년m3(목재사용량)·년충남 금산군 목재문화체험장 사업계획보고서(산림탄소등록부), 금산군청, 2017목조건축물 신축