Overview

Dataset statistics

Number of variables10
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory85.2 B

Variable types

Categorical5
Text2
Numeric3

Alerts

경보단계 has constant value ""Constant
발령농도 is highly overall correlated with 해제 농도 and 2 other fieldsHigh correlation
해제 농도 is highly overall correlated with 발령농도 and 2 other fieldsHigh correlation
최고농도 is highly overall correlated with 발령농도 and 2 other fieldsHigh correlation
권역 is highly overall correlated with 항목 and 2 other fieldsHigh correlation
항목 is highly overall correlated with 발령농도 and 3 other fieldsHigh correlation
발령 측정소 is highly overall correlated with 권역 and 1 other fieldsHigh correlation
해제 측정소 is highly overall correlated with 권역 and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-01-09 20:39:05.317308
Analysis finished2024-01-09 20:39:06.620920
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

권역
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
북부
9 
천안
8 
아산
7 
서부
6 
동남부
6 
Other values (8)
24 

Length

Max length3
Median length2
Mean length2.1
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row북부
2nd row북부
3rd row북부
4th row북부
5th row서부

Common Values

ValueCountFrequency (%)
북부 9
15.0%
천안 8
13.3%
아산 7
11.7%
서부 6
10.0%
동남부 6
10.0%
서산 6
10.0%
태안 6
10.0%
서천 3
 
5.0%
보령 2
 
3.3%
당진 2
 
3.3%
Other values (3) 5
8.3%

Length

2024-01-10T05:39:06.681601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북부 9
15.0%
천안 8
13.3%
아산 7
11.7%
서부 6
10.0%
동남부 6
10.0%
서산 6
10.0%
태안 6
10.0%
서천 3
 
5.0%
보령 2
 
3.3%
당진 2
 
3.3%
Other values (3) 5
8.3%

항목
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
O3
39 
PM2.5
11 
PM10
10 

Length

Max length5
Median length2
Mean length2.8833333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPM10
2nd rowPM10
3rd rowPM10
4th rowPM10
5th rowPM10

Common Values

ValueCountFrequency (%)
O3 39
65.0%
PM2.5 11
 
18.3%
PM10 10
 
16.7%

Length

2024-01-10T05:39:06.786775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:39:06.869944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o3 39
65.0%
pm2.5 11
 
18.3%
pm10 10
 
16.7%

경보단계
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
주의보
60 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주의보 60
100.0%

Length

2024-01-10T05:39:06.966377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:39:07.050742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주의보 60
100.0%

발령 측정소
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
전체
21 
백석동
6 
인주면
4 
원북면
3 
동문동
3 
Other values (16)
23 

Length

Max length5
Median length3
Mean length2.6666667
Min length2

Unique

Unique10 ?
Unique (%)16.7%

Sample

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

Common Values

ValueCountFrequency (%)
전체 21
35.0%
백석동 6
 
10.0%
인주면 4
 
6.7%
원북면 3
 
5.0%
동문동 3
 
5.0%
이원면 3
 
5.0%
서면 2
 
3.3%
정산면 2
 
3.3%
내포 2
 
3.3%
당진시청사 2
 
3.3%
Other values (11) 12
20.0%

Length

2024-01-10T05:39:07.133985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전체 21
35.0%
백석동 6
 
10.0%
인주면 4
 
6.7%
원북면 3
 
5.0%
동문동 3
 
5.0%
이원면 3
 
5.0%
내포 2
 
3.3%
당진시청사 2
 
3.3%
대산리 2
 
3.3%
정산면 2
 
3.3%
Other values (11) 12
20.0%

발령 시간
Text

Distinct52
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-01-10T05:39:07.329282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters780
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

Unique45 ?
Unique (%)75.0%

Sample

1st row2022-03-04 17
2nd row2022-03-05 03
3rd row2022-04-27 07
4th row2022-12-13 10
5th row2022-03-05 02
ValueCountFrequency (%)
18 8
 
6.7%
2022-05-17 8
 
6.7%
2022-09-27 6
 
5.0%
14 6
 
5.0%
17 6
 
5.0%
16 5
 
4.2%
2022-09-30 5
 
4.2%
15 5
 
4.2%
04 3
 
2.5%
2022-03-05 3
 
2.5%
Other values (38) 65
54.2%
2024-01-10T05:39:07.636258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 225
28.8%
0 154
19.7%
- 120
15.4%
1 88
 
11.3%
60
 
7.7%
7 26
 
3.3%
3 23
 
2.9%
9 22
 
2.8%
5 19
 
2.4%
4 17
 
2.2%
Other values (2) 26
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
76.9%
Dash Punctuation 120
 
15.4%
Space Separator 60
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 225
37.5%
0 154
25.7%
1 88
 
14.7%
7 26
 
4.3%
3 23
 
3.8%
9 22
 
3.7%
5 19
 
3.2%
4 17
 
2.8%
6 14
 
2.3%
8 12
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 225
28.8%
0 154
19.7%
- 120
15.4%
1 88
 
11.3%
60
 
7.7%
7 26
 
3.3%
3 23
 
2.9%
9 22
 
2.8%
5 19
 
2.4%
4 17
 
2.2%
Other values (2) 26
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 225
28.8%
0 154
19.7%
- 120
15.4%
1 88
 
11.3%
60
 
7.7%
7 26
 
3.3%
3 23
 
2.9%
9 22
 
2.8%
5 19
 
2.4%
4 17
 
2.2%
Other values (2) 26
 
3.3%

발령농도
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.1816
Minimum0.12
Maximum186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-01-10T05:39:07.751486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.12
Q10.12275
median0.128
Q377.25
95-th percentile184.05
Maximum186
Range185.88
Interquartile range (IQR)77.12725

Descriptive statistics

Standard deviation67.316328
Coefficient of variation (CV)1.5236281
Kurtosis-0.085429031
Mean44.1816
Median Absolute Deviation (MAD)0.007
Skewness1.2060306
Sum2650.896
Variance4531.488
MonotonicityNot monotonic
2024-01-10T05:39:07.856132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.121 7
 
11.7%
0.12 5
 
8.3%
0.124 4
 
6.7%
0.127 3
 
5.0%
0.122 3
 
5.0%
0.125 3
 
5.0%
0.123 3
 
5.0%
76.0 3
 
5.0%
176.0 2
 
3.3%
0.129 2
 
3.3%
Other values (20) 25
41.7%
ValueCountFrequency (%)
0.12 5
8.3%
0.121 7
11.7%
0.122 3
5.0%
0.123 3
5.0%
0.124 4
6.7%
0.125 3
5.0%
0.126 2
 
3.3%
0.127 3
5.0%
0.129 2
 
3.3%
0.131 2
 
3.3%
ValueCountFrequency (%)
186.0 1
1.7%
185.0 2
3.3%
184.0 1
1.7%
178.0 1
1.7%
176.0 2
3.3%
171.0 1
1.7%
167.0 1
1.7%
165.0 1
1.7%
93.0 1
1.7%
86.0 1
1.7%

해제 측정소
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
전체
21 
인주면
5 
원북면
4 
성연면
4 
백석동
3 
Other values (13)
23 

Length

Max length5
Median length3
Mean length2.6833333
Min length2

Unique

Unique4 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
전체 21
35.0%
인주면 5
 
8.3%
원북면 4
 
6.7%
성연면 4
 
6.7%
백석동 3
 
5.0%
성거읍 3
 
5.0%
정산면 2
 
3.3%
태안읍 2
 
3.3%
신방동 2
 
3.3%
내포 2
 
3.3%
Other values (8) 12
20.0%

Length

2024-01-10T05:39:07.972581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전체 21
35.0%
인주면 5
 
8.3%
원북면 4
 
6.7%
성연면 4
 
6.7%
백석동 3
 
5.0%
성거읍 3
 
5.0%
서면 2
 
3.3%
대천2동 2
 
3.3%
동문동 2
 
3.3%
당진시청사 2
 
3.3%
Other values (8) 12
20.0%

해제 시간
Text

Distinct52
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-01-10T05:39:08.156084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters780
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

Unique46 ?
Unique (%)76.7%

Sample

1st row2022-03-04 20
2nd row2022-03-05 13
3rd row2022-04-28 02
4th row2022-12-13 16
5th row2022-03-05 12
ValueCountFrequency (%)
18 9
 
7.5%
16 7
 
5.8%
19 7
 
5.8%
2022-09-27 6
 
5.0%
20 6
 
5.0%
2022-09-30 5
 
4.2%
15 5
 
4.2%
21 4
 
3.3%
2022-05-17 4
 
3.3%
2022-05-18 4
 
3.3%
Other values (36) 63
52.5%
2024-01-10T05:39:08.447188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 229
29.4%
0 150
19.2%
- 120
15.4%
1 92
11.8%
60
 
7.7%
9 24
 
3.1%
5 21
 
2.7%
3 20
 
2.6%
8 18
 
2.3%
7 16
 
2.1%
Other values (2) 30
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
76.9%
Dash Punctuation 120
 
15.4%
Space Separator 60
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 229
38.2%
0 150
25.0%
1 92
15.3%
9 24
 
4.0%
5 21
 
3.5%
3 20
 
3.3%
8 18
 
3.0%
7 16
 
2.7%
6 16
 
2.7%
4 14
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 229
29.4%
0 150
19.2%
- 120
15.4%
1 92
11.8%
60
 
7.7%
9 24
 
3.1%
5 21
 
2.7%
3 20
 
2.6%
8 18
 
2.3%
7 16
 
2.1%
Other values (2) 30
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 229
29.4%
0 150
19.2%
- 120
15.4%
1 92
11.8%
60
 
7.7%
9 24
 
3.1%
5 21
 
2.7%
3 20
 
2.6%
8 18
 
2.3%
7 16
 
2.1%
Other values (2) 30
 
3.8%

해제 농도
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.021783
Minimum0.086
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-01-10T05:39:08.829730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.086
5-th percentile0.0967
Q10.11075
median0.117
Q332
95-th percentile94.05
Maximum99
Range98.914
Interquartile range (IQR)31.88925

Descriptive statistics

Standard deviation32.240403
Coefficient of variation (CV)1.6102663
Kurtosis0.88408469
Mean20.021783
Median Absolute Deviation (MAD)0.01
Skewness1.4897121
Sum1201.307
Variance1039.4436
MonotonicityNot monotonic
2024-01-10T05:39:08.946613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.117 5
 
8.3%
0.119 5
 
8.3%
0.115 4
 
6.7%
0.102 3
 
5.0%
32.0 3
 
5.0%
0.112 2
 
3.3%
30.0 2
 
3.3%
0.11 2
 
3.3%
0.086 2
 
3.3%
0.114 2
 
3.3%
Other values (23) 30
50.0%
ValueCountFrequency (%)
0.086 2
3.3%
0.091 1
 
1.7%
0.097 1
 
1.7%
0.102 3
5.0%
0.105 1
 
1.7%
0.107 2
3.3%
0.108 2
3.3%
0.109 1
 
1.7%
0.11 2
3.3%
0.111 2
3.3%
ValueCountFrequency (%)
99.0 1
1.7%
97.0 1
1.7%
95.0 1
1.7%
94.0 1
1.7%
92.0 1
1.7%
91.0 1
1.7%
90.0 1
1.7%
78.0 1
1.7%
56.0 2
3.3%
34.0 2
3.3%

최고농도
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.600983
Minimum0.12
Maximum367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-01-10T05:39:09.090820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.12
5-th percentile0.121
Q10.12475
median0.1335
Q3162
95-th percentile336.85
Maximum367
Range366.88
Interquartile range (IQR)161.87525

Descriptive statistics

Standard deviation117.00535
Coefficient of variation (CV)1.5077818
Kurtosis0.071303061
Mean77.600983
Median Absolute Deviation (MAD)0.0125
Skewness1.1964523
Sum4656.059
Variance13690.253
MonotonicityNot monotonic
2024-01-10T05:39:09.238465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.121 5
 
8.3%
0.123 4
 
6.7%
0.125 3
 
5.0%
0.122 3
 
5.0%
0.128 3
 
5.0%
0.127 3
 
5.0%
0.135 2
 
3.3%
0.12 2
 
3.3%
162.0 2
 
3.3%
0.13 2
 
3.3%
Other values (29) 31
51.7%
ValueCountFrequency (%)
0.12 2
 
3.3%
0.121 5
8.3%
0.122 3
5.0%
0.123 4
6.7%
0.124 1
 
1.7%
0.125 3
5.0%
0.126 1
 
1.7%
0.127 3
5.0%
0.128 3
5.0%
0.13 2
 
3.3%
ValueCountFrequency (%)
367.0 1
1.7%
359.0 1
1.7%
353.0 1
1.7%
336.0 1
1.7%
277.0 1
1.7%
275.0 1
1.7%
266.0 1
1.7%
250.0 1
1.7%
248.0 1
1.7%
244.0 1
1.7%

Interactions

2024-01-10T05:39:06.199404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:05.765522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:05.986339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:06.275445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:05.841984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:06.060446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:06.344809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:05.913924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:39:06.125281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:39:09.347992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
권역항목발령 측정소발령 시간발령농도해제 측정소해제 시간해제 농도최고농도
권역1.0000.7690.9800.0000.6980.9800.0000.4950.428
항목0.7691.0000.7651.0001.0000.8111.0001.0001.000
발령 측정소0.9800.7651.0000.0000.0000.9840.0000.0000.000
발령 시간0.0001.0000.0001.0001.0000.5750.9920.8171.000
발령농도0.6981.0000.0001.0001.0000.4541.0000.9280.885
해제 측정소0.9800.8110.9840.5750.4541.0000.4050.0000.000
해제 시간0.0001.0000.0000.9921.0000.4051.0001.0000.969
해제 농도0.4951.0000.0000.8170.9280.0001.0001.0000.818
최고농도0.4281.0000.0001.0000.8850.0000.9690.8181.000
2024-01-10T05:39:09.471524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발령 측정소해제 측정소권역항목
발령 측정소1.0000.8190.7880.408
해제 측정소0.8191.0000.8270.468
권역0.7880.8271.0000.556
항목0.4080.4680.5561.000
2024-01-10T05:39:09.562090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발령농도해제 농도최고농도권역항목발령 측정소해제 측정소
발령농도1.0000.6580.9150.4470.9910.0000.218
해제 농도0.6581.0000.6500.2470.9730.0000.000
최고농도0.9150.6501.0000.1930.9640.0000.000
권역0.4470.2470.1931.0000.5560.7880.827
항목0.9910.9730.9640.5561.0000.4080.468
발령 측정소0.0000.0000.0000.7880.4081.0000.819
해제 측정소0.2180.0000.0000.8270.4680.8191.000

Missing values

2024-01-10T05:39:06.454659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:39:06.574398image/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

권역항목경보단계발령 측정소발령 시간발령농도해제 측정소해제 시간해제 농도최고농도
0북부PM10주의보전체2022-03-04 17167.0전체2022-03-04 2095.0250.0
1북부PM10주의보전체2022-03-05 03176.0전체2022-03-05 1390.0359.0
2북부PM10주의보전체2022-04-27 07185.0전체2022-04-28 0292.0367.0
3북부PM10주의보전체2022-12-13 10165.0전체2022-12-13 1691.0266.0
4서부PM10주의보전체2022-03-05 02176.0전체2022-03-05 1278.0277.0
5서부PM10주의보전체2022-04-27 07186.0전체2022-04-27 2197.0336.0
6서부PM10주의보전체2022-12-13 08184.0전체2022-12-13 2056.0353.0
7동남부PM10주의보전체2022-03-05 04178.0전체2022-03-05 1394.0244.0
8동남부PM10주의보전체2022-04-27 11185.0전체2022-04-28 0499.0248.0
9동남부PM10주의보전체2022-12-13 11171.0전체2022-12-13 2156.0275.0
권역항목경보단계발령 측정소발령 시간발령농도해제 측정소해제 시간해제 농도최고농도
50청양O3주의보정산면2022-06-11 180.121정산면2022-06-11 200.1020.121
51홍성O3주의보내포2022-05-17 200.123내포2022-05-17 210.1170.123
52홍성O3주의보내포2022-05-17 230.127내포2022-05-18 020.1190.128
53예산O3주의보예산군2022-07-26 180.123예산군2022-07-26 190.1080.123
54태안O3주의보원북면2022-05-17 220.12원북면2022-05-18 050.1170.128
55태안O3주의보이원면2022-09-27 150.124태안읍2022-09-27 170.1130.135
56태안O3주의보이원면2022-09-29 120.131태안읍2022-09-29 160.1150.146
57태안O3주의보이원면2022-09-30 150.149원북면2022-09-30 180.1020.167
58태안O3주의보원북면2022-10-01 120.12원북면2022-10-01 150.0970.136
59태안O3주의보원북면2022-10-01 160.136원북면2022-10-01 190.1050.136