Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory878.9 KiB
Average record size in memory90.0 B

Variable types

Text3
Categorical5
Numeric2

Dataset

Description경상남도 농작물진단처방 분석의뢰 매칭 테이블 데이터입니다.
Author경상남도
URLhttps://www.data.go.kr/data/15049544/fileData.do

Alerts

분류코드(대) is highly overall correlated with 비용 and 2 other fieldsHigh correlation
비용 is highly overall correlated with 분류코드(대) and 1 other fieldsHigh correlation
분석기준 is highly overall correlated with 분류코드(대) and 1 other fieldsHigh correlation
단위 is highly overall correlated with 분류코드(대) and 3 other fieldsHigh correlation
기타항목여부 is highly overall correlated with 단위High correlation
분류코드(대) is highly imbalanced (76.9%)Imbalance
비용 is highly imbalanced (64.2%)Imbalance
분석기준 is highly imbalanced (59.5%)Imbalance
단위 is highly imbalanced (84.5%)Imbalance
기타항목여부 is highly imbalanced (94.3%)Imbalance

Reproduction

Analysis started2023-12-11 22:52:02.270802
Analysis finished2023-12-11 22:52:04.208059
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류코드(소)
Text

Distinct58
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T07:52:04.339976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length1
Mean length1.1889
Min length1

Characters and Unicode

Total characters11889
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row9
3rd row43
4th row5
5th row1
ValueCountFrequency (%)
2 928
9.3%
1 928
9.3%
7 920
9.2%
10 917
9.2%
5 916
9.2%
6 903
9.0%
4 894
8.9%
3 892
8.9%
9 887
8.9%
8 880
8.8%
Other values (48) 935
9.3%
2023-12-12T07:52:04.705996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2068
17.4%
4 1486
12.5%
5 1197
10.1%
3 1134
9.5%
2 1081
9.1%
8 1015
8.5%
7 977
8.2%
0 966
8.1%
6 956
8.0%
9 935
7.9%
Other values (2) 74
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11815
99.4%
Uppercase Letter 74
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2068
17.5%
4 1486
12.6%
5 1197
10.1%
3 1134
9.6%
2 1081
9.1%
8 1015
8.6%
7 977
8.3%
0 966
8.2%
6 956
8.1%
9 935
7.9%
Uppercase Letter
ValueCountFrequency (%)
I 37
50.0%
N 37
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11815
99.4%
Latin 74
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2068
17.5%
4 1486
12.6%
5 1197
10.1%
3 1134
9.6%
2 1081
9.1%
8 1015
8.6%
7 977
8.3%
0 966
8.2%
6 956
8.1%
9 935
7.9%
Latin
ValueCountFrequency (%)
I 37
50.0%
N 37
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11889
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2068
17.4%
4 1486
12.5%
5 1197
10.1%
3 1134
9.5%
2 1081
9.1%
8 1015
8.5%
7 977
8.2%
0 966
8.1%
6 956
8.0%
9 935
7.9%
Other values (2) 74
 
0.6%

분류코드(대)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A
9078 
E
 
743
C
 
77
D
 
52
B
 
50

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowA
3rd rowE
4th rowA
5th rowA

Common Values

ValueCountFrequency (%)
A 9078
90.8%
E 743
 
7.4%
C 77
 
0.8%
D 52
 
0.5%
B 50
 
0.5%

Length

2023-12-12T07:52:04.840645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:52:04.948378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 9078
90.8%
e 743
 
7.4%
c 77
 
0.8%
d 52
 
0.5%
b 50
 
0.5%

항목명
Text

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T07:52:05.122232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length7.6951
Min length1

Characters and Unicode

Total characters76951
Distinct characters113
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

Unique11 ?
Unique (%)0.1%

Sample

1st row중탄산(HCO3)
2nd row황산이온(SO4)
3rd row수분
4th row칼슘(Ca)
5th row수소이온(pH)
ValueCountFrequency (%)
전기전도도(ec 929
9.3%
수소이온(ph 927
9.3%
칼슘(ca 919
9.2%
나트륨(na 919
9.2%
중탄산(hco3 915
9.1%
마그네슘(mg 904
9.0%
칼륨(k 897
9.0%
질산성질소(no3-n 888
8.9%
황산이온(so4 888
8.9%
염소이온(cl 879
8.8%
Other values (53) 955
9.5%
2023-12-12T07:52:05.428908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 9133
 
11.9%
) 9133
 
11.9%
C 3654
 
4.7%
소 2791
 
3.6%
산 2713
 
3.5%
온 2708
 
3.5%
이 2708
 
3.5%
O 2700
 
3.5%
N 2697
 
3.5%
도 1918
 
2.5%
Other values (103) 36796
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34924
45.4%
Uppercase Letter 14554
18.9%
Open Punctuation 9146
 
11.9%
Close Punctuation 9146
 
11.9%
Lowercase Letter 4608
 
6.0%
Decimal Number 2739
 
3.6%
Dash Punctuation 1775
 
2.3%
Other Punctuation 39
 
0.1%
Space Separator 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 2791
 
8.0%
산 2713
 
7.8%
온 2708
 
7.8%
이 2708
 
7.8%
도 1918
 
5.5%
전 1872
 
5.4%
슘 1837
 
5.3%
칼 1836
 
5.3%
륨 1830
 
5.2%
질 1802
 
5.2%
Other values (69) 12909
37.0%
Uppercase Letter
ValueCountFrequency (%)
C 3654
25.1%
O 2700
18.6%
N 2697
18.5%
H 1858
12.8%
E 934
 
6.4%
M 913
 
6.3%
K 897
 
6.2%
S 889
 
6.1%
F 5
 
< 0.1%
P 5
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
a 1838
39.9%
p 942
20.4%
g 904
19.6%
l 886
19.2%
v 26
 
0.6%
n 6
 
0.1%
e 5
 
0.1%
i 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
3 1804
65.9%
4 890
32.5%
5 16
 
0.6%
1 14
 
0.5%
6 11
 
0.4%
2 4
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 13
33.3%
/ 13
33.3%
: 13
33.3%
Open Punctuation
ValueCountFrequency (%)
( 9133
99.9%
[ 13
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 9133
99.9%
] 13
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1775
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34924
45.4%
Common 22865
29.7%
Latin 19162
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 2791
 
8.0%
산 2713
 
7.8%
온 2708
 
7.8%
이 2708
 
7.8%
도 1918
 
5.5%
전 1872
 
5.4%
슘 1837
 
5.3%
칼 1836
 
5.3%
륨 1830
 
5.2%
질 1802
 
5.2%
Other values (69) 12909
37.0%
Latin
ValueCountFrequency (%)
C 3654
19.1%
O 2700
14.1%
N 2697
14.1%
H 1858
9.7%
a 1838
9.6%
p 942
 
4.9%
E 934
 
4.9%
M 913
 
4.8%
g 904
 
4.7%
K 897
 
4.7%
Other values (9) 1825
9.5%
Common
ValueCountFrequency (%)
( 9133
39.9%
) 9133
39.9%
3 1804
 
7.9%
- 1775
 
7.8%
4 890
 
3.9%
20
 
0.1%
5 16
 
0.1%
1 14
 
0.1%
, 13
 
0.1%
] 13
 
0.1%
Other values (5) 54
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42027
54.6%
Hangul 34924
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 9133
21.7%
) 9133
21.7%
C 3654
8.7%
O 2700
 
6.4%
N 2697
 
6.4%
H 1858
 
4.4%
a 1838
 
4.4%
3 1804
 
4.3%
- 1775
 
4.2%
p 942
 
2.2%
Other values (24) 6493
15.4%
Hangul
ValueCountFrequency (%)
소 2791
 
8.0%
산 2713
 
7.8%
온 2708
 
7.8%
이 2708
 
7.8%
도 1918
 
5.5%
전 1872
 
5.4%
슘 1837
 
5.3%
칼 1836
 
5.3%
륨 1830
 
5.2%
질 1802
 
5.2%
Other values (69) 12909
37.0%

비용
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수질오염공정시험기준
7268 
STD. Method
1803 
농촌진흥청고시 제2017-19
744 
농촌진흥청토양및식물체분석법
 
93
토양오염공정시험기준
 
82
Other values (5)
 
10

Length

Max length17
Median length10
Mean length10.6573
Min length1

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowSTD. Method
2nd rowSTD. Method
3rd row농촌진흥청고시 제2017-19
4th row수질오염공정시험기준
5th row수질오염공정시험기준

Common Values

ValueCountFrequency (%)
수질오염공정시험기준 7268
72.7%
STD. Method 1803
 
18.0%
농촌진흥청고시 제2017-19 744
 
7.4%
농촌진흥청토양및식물체분석법 93
 
0.9%
토양오염공정시험기준 82
 
0.8%
- 6
 
0.1%
오류점검 1
 
< 0.1%
농진청 1
 
< 0.1%
농총진흥청고시 제2017-19호 1
 
< 0.1%
1231 1
 
< 0.1%

Length

2023-12-12T07:52:05.548928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:52:05.649280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수질오염공정시험기준 7268
57.9%
std 1803
 
14.4%
method 1803
 
14.4%
농촌진흥청고시 744
 
5.9%
제2017-19 744
 
5.9%
농촌진흥청토양및식물체분석법 93
 
0.7%
토양오염공정시험기준 82
 
0.7%
6
 
< 0.1%
오류점검 1
 
< 0.1%
농진청 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

분석기준
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
mg/L
7221 
-
995 
dS/m
934 
mg/kg
 
533
%
 
267
Other values (6)
 
50

Length

Max length8
Median length4
Mean length3.6893
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowmg/L
2nd rowmg/L
3rd row%
4th rowmg/L
5th row-

Common Values

ValueCountFrequency (%)
mg/L 7221
72.2%
- 995
 
10.0%
dS/m 934
 
9.3%
mg/kg 533
 
5.3%
% 267
 
2.7%
cmolc/kg 22
 
0.2%
cmolc/L 20
 
0.2%
g/kg 5
 
0.1%
` 1
 
< 0.1%
7.08 1
 
< 0.1%

Length

2023-12-12T07:52:05.761496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
mg/l 7221
72.2%
1263
 
12.6%
ds/m 934
 
9.3%
mg/kg 533
 
5.3%
cmolc/kg 22
 
0.2%
cmolc/l 20
 
0.2%
g/kg 5
 
< 0.1%
7.08 1
 
< 0.1%
ㅂmg/l 1
 
< 0.1%

단위
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
8,500
9070 
16,000
 
527
7,500
 
121
9,900
 
86
11,700
 
82
Other values (13)
 
114

Length

Max length6
Median length5
Mean length5.0686
Min length1

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st row8,500
2nd row8,500
3rd row7,500
4th row8,500
5th row8,500

Common Values

ValueCountFrequency (%)
8,500 9070
90.7%
16,000 527
 
5.3%
7,500 121
 
1.2%
9,900 86
 
0.9%
11,700 82
 
0.8%
14,300 53
 
0.5%
43,800 27
 
0.3%
- 6
 
0.1%
25,400 6
 
0.1%
21,600 5
 
0.1%
Other values (8) 17
 
0.2%

Length

2023-12-12T07:52:05.874021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8,500 9070
90.7%
16,000 527
 
5.3%
7,500 121
 
1.2%
9,900 86
 
0.9%
11,700 82
 
0.8%
14,300 53
 
0.5%
43,800 27
 
0.3%
6
 
0.1%
25,400 6
 
0.1%
9,600 5
 
< 0.1%
Other values (8) 17
 
0.2%

매칭할고유키
Real number (ℝ)

Distinct1651
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1070.1545
Minimum237
Maximum1895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T07:52:05.967755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237
5-th percentile311.95
Q1656
median1066
Q31498
95-th percentile1816
Maximum1895
Range1658
Interquartile range (IQR)842

Descriptive statistics

Standard deviation483.82797
Coefficient of variation (CV)0.4521104
Kurtosis-1.2118263
Mean1070.1545
Median Absolute Deviation (MAD)421
Skewness-0.003767651
Sum10701545
Variance234089.51
MonotonicityNot monotonic
2023-12-12T07:52:06.072505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
284 14
 
0.1%
360 14
 
0.1%
297 13
 
0.1%
1346 12
 
0.1%
1747 12
 
0.1%
1454 12
 
0.1%
1230 11
 
0.1%
1725 10
 
0.1%
334 10
 
0.1%
1722 10
 
0.1%
Other values (1641) 9882
98.8%
ValueCountFrequency (%)
237 7
0.1%
238 1
 
< 0.1%
239 8
0.1%
240 7
0.1%
241 7
0.1%
242 8
0.1%
243 6
0.1%
244 8
0.1%
245 7
0.1%
246 7
0.1%
ValueCountFrequency (%)
1895 5
0.1%
1894 9
0.1%
1893 10
0.1%
1892 9
0.1%
1891 5
0.1%
1890 5
0.1%
1889 7
0.1%
1888 9
0.1%
1887 3
 
< 0.1%
1886 6
0.1%

기타항목여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
9901 
Y
 
62
I
 
37

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 9901
99.0%
Y 62
 
0.6%
I 37
 
0.4%

Length

2023-12-12T07:52:06.173851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:52:06.249045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 9901
99.0%
y 62
 
0.6%
i 37
 
0.4%

항목번호
Real number (ℝ)

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3982
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T07:52:06.327226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile10
Maximum22
Range21
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9739067
Coefficient of variation (CV)0.5509071
Kurtosis-0.82395477
Mean5.3982
Median Absolute Deviation (MAD)3
Skewness0.18925177
Sum53982
Variance8.8441212
MonotonicityNot monotonic
2023-12-12T07:52:06.432738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1102
11.0%
2 1088
10.9%
3 1047
10.5%
4 1003
10.0%
5 973
9.7%
7 962
9.6%
6 950
9.5%
10 937
9.4%
8 921
9.2%
9 914
9.1%
Other values (11) 103
 
1.0%
ValueCountFrequency (%)
1 1102
11.0%
2 1088
10.9%
3 1047
10.5%
4 1003
10.0%
5 973
9.7%
6 950
9.5%
7 962
9.6%
8 921
9.2%
9 914
9.1%
10 937
9.4%
ValueCountFrequency (%)
22 1
 
< 0.1%
21 1
 
< 0.1%
19 1
 
< 0.1%
18 1
 
< 0.1%
17 2
 
< 0.1%
16 3
 
< 0.1%
15 4
 
< 0.1%
14 9
 
0.1%
13 12
0.1%
12 25
0.2%

기타
Text

Distinct1932
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T07:52:06.721396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length4
Mean length3.3265
Min length1

Characters and Unicode

Total characters33265
Distinct characters31
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique491 ?
Unique (%)4.9%

Sample

1st row55
2nd row-
3rd row-
4th row33.5
5th row6.3
ValueCountFrequency (%)
985
 
9.8%
흔적 116
 
1.2%
7 64
 
0.6%
7.3 58
 
0.6%
6.8 57
 
0.6%
7.5 56
 
0.6%
7.4 56
 
0.6%
7.2 56
 
0.6%
7.1 55
 
0.5%
6.9 52
 
0.5%
Other values (1924) 8450
84.5%
2023-12-12T07:52:07.197282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 7324
22.0%
1 4130
12.4%
2 2969
8.9%
0 2464
 
7.4%
3 2433
 
7.3%
4 2336
 
7.0%
7 2324
 
7.0%
6 2247
 
6.8%
5 2087
 
6.3%
8 1902
 
5.7%
Other values (21) 3049
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24593
73.9%
Other Punctuation 7326
 
22.0%
Dash Punctuation 985
 
3.0%
Other Letter 350
 
1.1%
Space Separator 5
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흔 116
33.1%
적 116
33.1%
하 26
 
7.4%
이 26
 
7.4%
부 15
 
4.3%
숙 15
 
4.3%
완 14
 
4.0%
료 14
 
4.0%
체 2
 
0.6%
통 2
 
0.6%
Other values (3) 4
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 4130
16.8%
2 2969
12.1%
0 2464
10.0%
3 2433
9.9%
4 2336
9.5%
7 2324
9.4%
6 2247
9.1%
5 2087
8.5%
8 1902
7.7%
9 1701
6.9%
Other Punctuation
ValueCountFrequency (%)
. 7324
> 99.9%
, 2
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
㎜ 1
50.0%
㎛ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 985
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32915
98.9%
Hangul 350
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 7324
22.3%
1 4130
12.5%
2 2969
9.0%
0 2464
 
7.5%
3 2433
 
7.4%
4 2336
 
7.1%
7 2324
 
7.1%
6 2247
 
6.8%
5 2087
 
6.3%
8 1902
 
5.8%
Other values (8) 2699
 
8.2%
Hangul
ValueCountFrequency (%)
흔 116
33.1%
적 116
33.1%
하 26
 
7.4%
이 26
 
7.4%
부 15
 
4.3%
숙 15
 
4.3%
완 14
 
4.0%
료 14
 
4.0%
체 2
 
0.6%
통 2
 
0.6%
Other values (3) 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32913
98.9%
Hangul 350
 
1.1%
CJK Compat 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 7324
22.3%
1 4130
12.5%
2 2969
9.0%
0 2464
 
7.5%
3 2433
 
7.4%
4 2336
 
7.1%
7 2324
 
7.1%
6 2247
 
6.8%
5 2087
 
6.3%
8 1902
 
5.8%
Other values (6) 2697
 
8.2%
Hangul
ValueCountFrequency (%)
흔 116
33.1%
적 116
33.1%
하 26
 
7.4%
이 26
 
7.4%
부 15
 
4.3%
숙 15
 
4.3%
완 14
 
4.0%
료 14
 
4.0%
체 2
 
0.6%
통 2
 
0.6%
Other values (3) 4
 
1.1%
CJK Compat
ValueCountFrequency (%)
㎜ 1
50.0%
㎛ 1
50.0%

Interactions

2023-12-12T07:52:03.754627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:52:03.324362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:52:03.848900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:52:03.421538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:52:07.301719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류코드(소)분류코드(대)항목명비용분석기준단위매칭할고유키기타항목여부항목번호
분류코드(소)1.0000.9930.9970.9480.9650.9720.2200.9460.957
분류코드(대)0.9931.0000.9470.9780.8200.9380.3030.2140.315
항목명0.9970.9471.0000.9800.9660.9950.2070.9790.967
비용0.9480.9780.9801.0000.7270.9760.2500.5540.805
분석기준0.9650.8200.9660.7271.0000.8640.1560.3240.519
단위0.9720.9380.9950.9760.8641.0000.2150.8330.674
매칭할고유키0.2200.3030.2070.2500.1560.2151.0000.0760.086
기타항목여부0.9460.2140.9790.5540.3240.8330.0761.0000.540
항목번호0.9570.3150.9670.8050.5190.6740.0860.5401.000
2023-12-12T07:52:07.422937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류코드(대)단위분석기준비용기타항목여부
분류코드(대)1.0000.8200.6320.7920.164
단위0.8201.0000.5500.8790.577
분석기준0.6320.5501.0000.4170.200
비용0.7920.8790.4171.0000.397
기타항목여부0.1640.5770.2000.3971.000
2023-12-12T07:52:07.523402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
매칭할고유키항목번호분류코드(대)비용분석기준단위기타항목여부
매칭할고유키1.0000.0010.1300.0790.0670.0840.045
항목번호0.0011.0000.1360.3700.2510.3330.384
분류코드(대)0.1300.1361.0000.7920.6320.8200.164
비용0.0790.3700.7921.0000.4170.8790.397
분석기준0.0670.2510.6320.4171.0000.5500.200
단위0.0840.3330.8200.8790.5501.0000.577
기타항목여부0.0450.3840.1640.3970.2000.5771.000

Missing values

2023-12-12T07:52:03.967125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:52:04.123720image/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

분류코드(소)분류코드(대)항목명비용분석기준단위매칭할고유키기타항목여부항목번호기타
581210A중탄산(HCO3)STD. Methodmg/L8,500892N1055
1759A황산이온(SO4)STD. Methodmg/L8,500283N9-
1514043E수분농촌진흥청고시 제2017-19%7,5001346N2-
12855A칼슘(Ca)수질오염공정시험기준mg/L8,500343N533.5
142511A수소이온(pH)수질오염공정시험기준-8,5001830N16.3
153168A염소이온(Cl-)수질오염공정시험기준mg/L8,5001867N855.6
190051E아연농촌진흥청고시 제2017-19mg/kg16,000465N1463
128506A마그네슘(Mg)수질오염공정시험기준mg/L8,5001588N616.5
109895A칼슘(Ca)수질오염공정시험기준mg/L8,5001119N550.9
97310A중탄산(HCO3)STD. Methodmg/L8,500332N1035
분류코드(소)분류코드(대)항목명비용분석기준단위매칭할고유키기타항목여부항목번호기타
116101A수소이온(pH)수질오염공정시험기준-8,5001116N17.2
2766A마그네슘(Mg)수질오염공정시험기준mg/L8,500288N6-
596010A중탄산(HCO3)STD. Methodmg/L8,500879N10117
40712A전기전도도(EC)수질오염공정시험기준dS/m8,500717N20.71
195210A중탄산(HCO3)STD. Methodmg/L8,500427N10157
144824A칼륨(K)수질오염공정시험기준mg/L8,5001509N43.64
42442E유기물농촌진흥청고시 제2017-19%14,300309N1-
15339A황산이온(SO4)STD. Methodmg/L8,500392N9-
1306810A중탄산(HCO3)STD. Methodmg/L8,5001692N10181
14326A마그네슘(Mg)수질오염공정시험기준mg/L8,500373N64.7