Overview

Dataset statistics

Number of variables9
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory85.5 B

Variable types

DateTime1
Categorical4
Numeric4

Dataset

Description정보공개 청구건 중 비공개 또는 부분공개로 처리된 건에대한 사유 데이터입니다. 정보공개법 제9조 제1항의 각호가 기준이며 해당 기준에 따라 주로 비공개되는 사유에 대해 확인하고 청구인이 정보공개를 청구할 때 더 유의해야 할 부분에 대해 판단을 도울 수 있습니다.
URLhttps://www.data.go.kr/data/15066548/fileData.do

Alerts

정보공개법제9조제1항제2호 is highly overall correlated with 정보공개법제9조제1항제4호High correlation
정보공개법제9조제1항제6호 is highly overall correlated with 정보공개법제9조제1항제8호High correlation
정보공개법제9조제1항제4호 is highly overall correlated with 정보공개법제9조제1항제2호High correlation
정보공개법제9조제1항제8호 is highly overall correlated with 정보공개법제9조제1항제6호High correlation
년월 has unique valuesUnique
정보공개법제9조제1항제2호 has 1 (4.2%) zerosZeros
정보공개법제9조제1항제5호 has 1 (4.2%) zerosZeros

Reproduction

Analysis started2023-12-12 23:40:43.092933
Analysis finished2023-12-12 23:40:45.003216
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2021-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-13T08:40:45.051655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:45.153192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

정보공개법제9조제1항제1호
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
9 
0
7 
2
4 
4
2 
3
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row4
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1 9
37.5%
0 7
29.2%
2 4
16.7%
4 2
 
8.3%
3 2
 
8.3%

Length

2023-12-13T08:40:45.262000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:40:45.345547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9
37.5%
0 7
29.2%
2 4
16.7%
4 2
 
8.3%
3 2
 
8.3%

정보공개법제9조제1항제2호
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0416667
Minimum0
Maximum12
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T08:40:45.429367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12.75
median4
Q35
95-th percentile8.85
Maximum12
Range12
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation2.7422486
Coefficient of variation (CV)0.67849451
Kurtosis2.0673811
Mean4.0416667
Median Absolute Deviation (MAD)1
Skewness1.1670038
Sum97
Variance7.5199275
MonotonicityNot monotonic
2023-12-13T08:40:45.526546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 6
25.0%
3 4
16.7%
5 4
16.7%
1 4
16.7%
2 1
 
4.2%
12 1
 
4.2%
6 1
 
4.2%
8 1
 
4.2%
9 1
 
4.2%
0 1
 
4.2%
ValueCountFrequency (%)
0 1
 
4.2%
1 4
16.7%
2 1
 
4.2%
3 4
16.7%
4 6
25.0%
5 4
16.7%
6 1
 
4.2%
8 1
 
4.2%
9 1
 
4.2%
12 1
 
4.2%
ValueCountFrequency (%)
12 1
 
4.2%
9 1
 
4.2%
8 1
 
4.2%
6 1
 
4.2%
5 4
16.7%
4 6
25.0%
3 4
16.7%
2 1
 
4.2%
1 4
16.7%
0 1
 
4.2%

정보공개법제9조제1항제3호
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
13 
1
6 
2
3 
3
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row3
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 13
54.2%
1 6
25.0%
2 3
 
12.5%
3 2
 
8.3%

Length

2023-12-13T08:40:45.623077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:40:45.706121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
54.2%
1 6
25.0%
2 3
 
12.5%
3 2
 
8.3%

정보공개법제9조제1항제4호
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
19 
1
4 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row0
2nd row0
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 19
79.2%
1 4
 
16.7%
2 1
 
4.2%

Length

2023-12-13T08:40:45.795660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:40:45.872364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
79.2%
1 4
 
16.7%
2 1
 
4.2%

정보공개법제9조제1항제5호
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7916667
Minimum0
Maximum12
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T08:40:45.947057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q35
95-th percentile9.85
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.13437
Coefficient of variation (CV)0.82664704
Kurtosis0.9303417
Mean3.7916667
Median Absolute Deviation (MAD)1
Skewness1.2822225
Sum91
Variance9.8242754
MonotonicityNot monotonic
2023-12-13T08:40:46.038806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 9
37.5%
1 3
 
12.5%
5 3
 
12.5%
3 2
 
8.3%
7 2
 
8.3%
9 1
 
4.2%
10 1
 
4.2%
4 1
 
4.2%
12 1
 
4.2%
0 1
 
4.2%
ValueCountFrequency (%)
0 1
 
4.2%
1 3
 
12.5%
2 9
37.5%
3 2
 
8.3%
4 1
 
4.2%
5 3
 
12.5%
7 2
 
8.3%
9 1
 
4.2%
10 1
 
4.2%
12 1
 
4.2%
ValueCountFrequency (%)
12 1
 
4.2%
10 1
 
4.2%
9 1
 
4.2%
7 2
 
8.3%
5 3
 
12.5%
4 1
 
4.2%
3 2
 
8.3%
2 9
37.5%
1 3
 
12.5%
0 1
 
4.2%

정보공개법제9조제1항제6호
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1666667
Minimum4
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T08:40:46.126365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.15
Q16.75
median8
Q311
95-th percentile14.85
Maximum18
Range14
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.6673254
Coefficient of variation (CV)0.40007186
Kurtosis-0.029054201
Mean9.1666667
Median Absolute Deviation (MAD)3
Skewness0.59354541
Sum220
Variance13.449275
MonotonicityNot monotonic
2023-12-13T08:40:46.219409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 6
25.0%
11 4
16.7%
5 3
12.5%
4 2
 
8.3%
14 2
 
8.3%
9 1
 
4.2%
15 1
 
4.2%
18 1
 
4.2%
10 1
 
4.2%
6 1
 
4.2%
Other values (2) 2
 
8.3%
ValueCountFrequency (%)
4 2
 
8.3%
5 3
12.5%
6 1
 
4.2%
7 1
 
4.2%
8 6
25.0%
9 1
 
4.2%
10 1
 
4.2%
11 4
16.7%
12 1
 
4.2%
14 2
 
8.3%
ValueCountFrequency (%)
18 1
 
4.2%
15 1
 
4.2%
14 2
 
8.3%
12 1
 
4.2%
11 4
16.7%
10 1
 
4.2%
9 1
 
4.2%
8 6
25.0%
7 1
 
4.2%
6 1
 
4.2%

정보공개법제9조제1항제7호
Real number (ℝ)

Distinct10
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10
Minimum5
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T08:40:46.314160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q17
median10.5
Q312
95-th percentile13
Maximum22
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.7993134
Coefficient of variation (CV)0.37993134
Kurtosis3.0774819
Mean10
Median Absolute Deviation (MAD)2.5
Skewness1.0637767
Sum240
Variance14.434783
MonotonicityNot monotonic
2023-12-13T08:40:46.406690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11 5
20.8%
5 4
16.7%
13 4
16.7%
10 3
12.5%
7 2
 
8.3%
12 2
 
8.3%
8 1
 
4.2%
6 1
 
4.2%
9 1
 
4.2%
22 1
 
4.2%
ValueCountFrequency (%)
5 4
16.7%
6 1
 
4.2%
7 2
 
8.3%
8 1
 
4.2%
9 1
 
4.2%
10 3
12.5%
11 5
20.8%
12 2
 
8.3%
13 4
16.7%
22 1
 
4.2%
ValueCountFrequency (%)
22 1
 
4.2%
13 4
16.7%
12 2
 
8.3%
11 5
20.8%
10 3
12.5%
9 1
 
4.2%
8 1
 
4.2%
7 2
 
8.3%
6 1
 
4.2%
5 4
16.7%

정보공개법제9조제1항제8호
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
17 
1
6 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row1
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 17
70.8%
1 6
 
25.0%
2 1
 
4.2%

Length

2023-12-13T08:40:46.519329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:40:46.617382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
70.8%
1 6
 
25.0%
2 1
 
4.2%

Interactions

2023-12-13T08:40:44.447865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:43.447145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:43.792758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:44.130612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:44.527240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:43.524406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:43.874082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:44.216480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:44.636789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:43.605899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:43.955634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:44.292014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:44.721046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:43.697356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:44.051864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:40:44.370533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:40:46.683143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월정보공개법제9조제1항제1호정보공개법제9조제1항제2호정보공개법제9조제1항제3호정보공개법제9조제1항제4호정보공개법제9조제1항제5호정보공개법제9조제1항제6호정보공개법제9조제1항제7호정보공개법제9조제1항제8호
년월1.0001.0001.0001.0001.0001.0001.0001.0001.000
정보공개법제9조제1항제1호1.0001.0000.6370.0000.3160.0000.5620.6180.000
정보공개법제9조제1항제2호1.0000.6371.0000.3770.9490.4140.4150.6140.000
정보공개법제9조제1항제3호1.0000.0000.3771.0000.4370.1870.4050.0000.240
정보공개법제9조제1항제4호1.0000.3160.9490.4371.0000.0000.0000.7510.363
정보공개법제9조제1항제5호1.0000.0000.4140.1870.0001.0000.0000.2510.000
정보공개법제9조제1항제6호1.0000.5620.4150.4050.0000.0001.0000.0000.000
정보공개법제9조제1항제7호1.0000.6180.6140.0000.7510.2510.0001.0000.000
정보공개법제9조제1항제8호1.0000.0000.0000.2400.3630.0000.0000.0001.000
2023-12-13T08:40:46.802707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정보공개법제9조제1항제3호정보공개법제9조제1항제8호정보공개법제9조제1항제4호정보공개법제9조제1항제1호
정보공개법제9조제1항제3호1.0000.2100.4140.000
정보공개법제9조제1항제8호0.2101.0000.1130.000
정보공개법제9조제1항제4호0.4140.1131.0000.223
정보공개법제9조제1항제1호0.0000.0000.2231.000
2023-12-13T08:40:46.912806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정보공개법제9조제1항제2호정보공개법제9조제1항제5호정보공개법제9조제1항제6호정보공개법제9조제1항제7호정보공개법제9조제1항제1호정보공개법제9조제1항제3호정보공개법제9조제1항제4호정보공개법제9조제1항제8호
정보공개법제9조제1항제2호1.000-0.0050.064-0.1740.4010.2010.6520.000
정보공개법제9조제1항제5호-0.0051.000-0.1310.1300.0000.0000.0000.000
정보공개법제9조제1항제6호0.064-0.1311.000-0.1720.3440.1220.0000.527
정보공개법제9조제1항제7호-0.1740.130-0.1721.0000.4560.0000.3870.000
정보공개법제9조제1항제1호0.4010.0000.3440.4561.0000.0000.2230.000
정보공개법제9조제1항제3호0.2010.0000.1220.0000.0001.0000.4140.210
정보공개법제9조제1항제4호0.6520.0000.0000.3870.2230.4141.0000.113
정보공개법제9조제1항제8호0.0000.0000.5270.0000.0000.2100.1131.000

Missing values

2023-12-13T08:40:44.828225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:40:44.948184image/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

년월정보공개법제9조제1항제1호정보공개법제9조제1항제2호정보공개법제9조제1항제3호정보공개법제9조제1항제4호정보공개법제9조제1항제5호정보공개법제9조제1항제6호정보공개법제9조제1항제7호정보공개법제9조제1항제8호
02021-0104301851
12021-0243203950
22021-03123231181
32021-040500915101
42021-0501001011130
52021-06240051151
62021-073121021870
72021-08161048130
82021-0901002460
92021-10041021450
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