Overview

Dataset statistics

Number of variables7
Number of observations244
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.4 KiB
Average record size in memory60.5 B

Variable types

Categorical5
Numeric2

Dataset

Description울산시설공단 민원처리 현황 정보를 년월, 처리부서, 민원사무명, 처리기간, 발생건수 등 항목으로 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15089169/fileData.do

Alerts

처리기간 미준수(건) has constant value ""Constant
민원사무명 is highly overall correlated with 처리기간(일)High correlation
처리기간(일) is highly overall correlated with 민원사무명High correlation
발생건수(건) is highly overall correlated with 처리기간 준수(건)High correlation
처리기간 준수(건) is highly overall correlated with 발생건수(건)High correlation
발생건수(건) has 130 (53.3%) zerosZeros
처리기간 준수(건) has 130 (53.3%) zerosZeros

Reproduction

Analysis started2023-12-12 23:26:57.643926
Analysis finished2023-12-12 23:26:58.371001
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월
Categorical

Distinct14
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2021-08
50 
2021-09
50 
2022-01
12 
2022-02
12 
2022-03
12 
Other values (9)
108 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08
2nd row2021-08
3rd row2021-08
4th row2021-08
5th row2021-08

Common Values

ValueCountFrequency (%)
2021-08 50
20.5%
2021-09 50
20.5%
2022-01 12
 
4.9%
2022-02 12
 
4.9%
2022-03 12
 
4.9%
2022-04 12
 
4.9%
2022-05 12
 
4.9%
2022-06 12
 
4.9%
2022-07 12
 
4.9%
2022-08 12
 
4.9%
Other values (4) 48
19.7%

Length

2023-12-13T08:26:58.430044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-08 50
20.5%
2021-09 50
20.5%
2022-01 12
 
4.9%
2022-02 12
 
4.9%
2022-03 12
 
4.9%
2022-04 12
 
4.9%
2022-05 12
 
4.9%
2022-06 12
 
4.9%
2022-07 12
 
4.9%
2022-08 12
 
4.9%
Other values (4) 48
19.7%

처리부서
Categorical

Distinct14
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
종합운동장
22 
문수체육시설
22 
울산대공원
22 
가로녹지팀
22 
하늘공원
22 
Other values (9)
134 

Length

Max length9
Median length8
Mean length5.4098361
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종합운동장 22
9.0%
문수체육시설 22
9.0%
울산대공원 22
9.0%
가로녹지팀 22
9.0%
하늘공원 22
9.0%
가족문화센터 22
9.0%
교통사업팀 22
9.0%
어린이테마파크 22
9.0%
노동자종합복지회관 12
 
4.9%
감사팀 12
 
4.9%
Other values (4) 44
18.0%

Length

2023-12-13T08:26:58.549719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
종합운동장 22
9.0%
문수체육시설 22
9.0%
울산대공원 22
9.0%
가로녹지팀 22
9.0%
하늘공원 22
9.0%
가족문화센터 22
9.0%
교통사업팀 22
9.0%
어린이테마파크 22
9.0%
노동자종합복지회관 12
 
4.9%
감사팀 12
 
4.9%
Other values (4) 44
18.0%

민원사무명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
국민신문고
164 
시설사용허가
20 
유선 및 서면
20 
MO(문자민원)
20 
고객소리함
20 

Length

Max length8
Median length5
Mean length5.4918033
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시설사용허가
2nd row유선 및 서면
3rd row국민신문고
4th rowMO(문자민원)
5th row고객소리함

Common Values

ValueCountFrequency (%)
국민신문고 164
67.2%
시설사용허가 20
 
8.2%
유선 및 서면 20
 
8.2%
MO(문자민원) 20
 
8.2%
고객소리함 20
 
8.2%

Length

2023-12-13T08:26:58.678027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:26:58.811052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국민신문고 164
57.7%
시설사용허가 20
 
7.0%
유선 20
 
7.0%
및 20
 
7.0%
서면 20
 
7.0%
mo(문자민원 20
 
7.0%
고객소리함 20
 
7.0%

처리기간(일)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
7
204 
3
40 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row7
3rd row7
4th row3
5th row7

Common Values

ValueCountFrequency (%)
7 204
83.6%
3 40
 
16.4%

Length

2023-12-13T08:26:58.961372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:26:59.066741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 204
83.6%
3 40
 
16.4%

발생건수(건)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct37
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1434426
Minimum0
Maximum130
Zeros130
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T08:26:59.165130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.25
95-th percentile34.85
Maximum130
Range130
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation18.756396
Coefficient of variation (CV)2.6256802
Kurtosis22.757156
Mean7.1434426
Median Absolute Deviation (MAD)0
Skewness4.4915973
Sum1743
Variance351.80238
MonotonicityNot monotonic
2023-12-13T08:26:59.302335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 130
53.3%
1 25
 
10.2%
2 11
 
4.5%
8 7
 
2.9%
6 6
 
2.5%
3 6
 
2.5%
4 6
 
2.5%
5 5
 
2.0%
11 5
 
2.0%
14 5
 
2.0%
Other values (27) 38
 
15.6%
ValueCountFrequency (%)
0 130
53.3%
1 25
 
10.2%
2 11
 
4.5%
3 6
 
2.5%
4 6
 
2.5%
5 5
 
2.0%
6 6
 
2.5%
7 3
 
1.2%
8 7
 
2.9%
9 2
 
0.8%
ValueCountFrequency (%)
130 1
0.4%
125 1
0.4%
118 1
0.4%
106 1
0.4%
91 1
0.4%
78 1
0.4%
50 1
0.4%
47 1
0.4%
45 1
0.4%
43 1
0.4%

처리기간 미준수(건)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
244 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 244
100.0%

Length

2023-12-13T08:26:59.421710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:26:59.535696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 244
100.0%

처리기간 준수(건)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct37
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1434426
Minimum0
Maximum130
Zeros130
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-13T08:26:59.650782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35.25
95-th percentile34.85
Maximum130
Range130
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation18.756396
Coefficient of variation (CV)2.6256802
Kurtosis22.757156
Mean7.1434426
Median Absolute Deviation (MAD)0
Skewness4.4915973
Sum1743
Variance351.80238
MonotonicityNot monotonic
2023-12-13T08:26:59.798452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 130
53.3%
1 25
 
10.2%
2 11
 
4.5%
8 7
 
2.9%
6 6
 
2.5%
3 6
 
2.5%
4 6
 
2.5%
5 5
 
2.0%
11 5
 
2.0%
14 5
 
2.0%
Other values (27) 38
 
15.6%
ValueCountFrequency (%)
0 130
53.3%
1 25
 
10.2%
2 11
 
4.5%
3 6
 
2.5%
4 6
 
2.5%
5 5
 
2.0%
6 6
 
2.5%
7 3
 
1.2%
8 7
 
2.9%
9 2
 
0.8%
ValueCountFrequency (%)
130 1
0.4%
125 1
0.4%
118 1
0.4%
106 1
0.4%
91 1
0.4%
78 1
0.4%
50 1
0.4%
47 1
0.4%
45 1
0.4%
43 1
0.4%

Interactions

2023-12-13T08:26:58.036971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:26:57.887180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:26:58.116990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:26:57.962537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:26:59.902910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월처리부서민원사무명처리기간(일)발생건수(건)처리기간 준수(건)
년월1.0000.0000.5930.6220.0000.000
처리부서0.0001.0000.0000.1870.4700.470
민원사무명0.5930.0001.0001.0000.3700.370
처리기간(일)0.6220.1871.0001.0000.4430.443
발생건수(건)0.0000.4700.3700.4431.0001.000
처리기간 준수(건)0.0000.4700.3700.4431.0001.000
2023-12-13T08:27:00.039732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
민원사무명년월처리부서처리기간(일)
민원사무명1.0000.3520.0000.994
년월0.3521.0000.0000.479
처리부서0.0000.0001.0000.142
처리기간(일)0.9940.4790.1421.000
2023-12-13T08:27:00.154620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발생건수(건)처리기간 준수(건)년월처리부서민원사무명처리기간(일)
발생건수(건)1.0001.0000.0000.2160.2440.327
처리기간 준수(건)1.0001.0000.0000.2160.2440.327
년월0.0000.0001.0000.0000.3520.479
처리부서0.2160.2160.0001.0000.0000.142
민원사무명0.2440.2440.3520.0001.0000.994
처리기간(일)0.3270.3270.4790.1420.9941.000

Missing values

2023-12-13T08:26:58.221527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:26:58.327393image/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

년월처리부서민원사무명처리기간(일)발생건수(건)처리기간 미준수(건)처리기간 준수(건)
02021-08종합운동장시설사용허가31180118
12021-08종합운동장유선 및 서면7000
22021-08종합운동장국민신문고7606
32021-08종합운동장MO(문자민원)3000
42021-08종합운동장고객소리함7000
52021-08문수체육시설시설사용허가31250125
62021-08문수체육시설유선 및 서면7000
72021-08문수체육시설국민신문고7808
82021-08문수체육시설MO(문자민원)3000
92021-08문수체육시설고객소리함7000
년월처리부서민원사무명처리기간(일)발생건수(건)처리기간 미준수(건)처리기간 준수(건)
2342022-03기획경영실국민신문고7404
2352022-04기획경영실국민신문고7202
2362022-05기획경영실국민신문고7303
2372022-06기획경영실국민신문고7303
2382022-07기획경영실국민신문고7101
2392022-08기획경영실국민신문고7202
2402022-09기획경영실국민신문고7101
2412022-10기획경영실국민신문고7000
2422022-11기획경영실국민신문고7202
2432022-12기획경영실국민신문고7303