Overview

Dataset statistics

Number of variables21
Number of observations48
Missing cells150
Missing cells (%)14.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory189.8 B

Variable types

DateTime2
Numeric14
Categorical5

Dataset

Description지능형 홈 기반 독거노인 상담내역에 대한 상담연월, 상담 처리유형(장비점검, 119호출, 기타, 기타상담, 미감지 등)에 대한 정보
Author경상남도 통영시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15077716

Alerts

데이터 기준일 has constant value ""Constant
119호출 has 11 (22.9%) missing valuesMissing
기타 has 5 (10.4%) missing valuesMissing
기타상담 has 19 (39.6%) missing valuesMissing
미감지 has 21 (43.8%) missing valuesMissing
미감지점검 has 3 (6.2%) missing valuesMissing
미수신 has 22 (45.8%) missing valuesMissing
미수신점검 has 2 (4.2%) missing valuesMissing
신규설치 has 23 (47.9%) missing valuesMissing
장기부재 has 11 (22.9%) missing valuesMissing
장비설치 has 8 (16.7%) missing valuesMissing
전화상담 has 14 (29.2%) missing valuesMissing
현장상담 has 11 (22.9%) missing valuesMissing
상담연월 has unique valuesUnique
기타 has 3 (6.2%) zerosZeros
기타상담 has 3 (6.2%) zerosZeros
미수신 has 1 (2.1%) zerosZeros
신규설치 has 10 (20.8%) zerosZeros
장비설치 has 11 (22.9%) zerosZeros
전원차단 has 1 (2.1%) zerosZeros
전화상담 has 4 (8.3%) zerosZeros

Reproduction

Analysis started2024-03-23 07:21:30.603939
Analysis finished2024-03-23 07:21:31.074447
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상담연월
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2020-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-03-23T07:21:31.577562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:21:32.386990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

장비점검
Real number (ℝ)

Distinct33
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.979167
Minimum22
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:32.922927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24.4
Q146.25
median53
Q366.5
95-th percentile92.6
Maximum164
Range142
Interquartile range (IQR)20.25

Descriptive statistics

Standard deviation24.004866
Coefficient of variation (CV)0.41402572
Kurtosis7.139724
Mean57.979167
Median Absolute Deviation (MAD)10
Skewness1.9559287
Sum2783
Variance576.2336
MonotonicityNot monotonic
2024-03-23T07:21:33.915427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
49 5
 
10.4%
53 4
 
8.3%
22 2
 
4.2%
55 2
 
4.2%
47 2
 
4.2%
60 2
 
4.2%
37 2
 
4.2%
74 2
 
4.2%
58 2
 
4.2%
43 2
 
4.2%
Other values (23) 23
47.9%
ValueCountFrequency (%)
22 2
4.2%
23 1
2.1%
27 1
2.1%
37 2
4.2%
38 1
2.1%
39 1
2.1%
41 1
2.1%
43 2
4.2%
44 1
2.1%
47 2
4.2%
ValueCountFrequency (%)
164 1
2.1%
104 1
2.1%
94 1
2.1%
90 1
2.1%
87 1
2.1%
86 1
2.1%
77 1
2.1%
76 1
2.1%
74 2
4.2%
70 1
2.1%

119호출
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)51.4%
Missing11
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean14.027027
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:34.576088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q110
median12
Q320
95-th percentile25.6
Maximum37
Range36
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.6650206
Coefficient of variation (CV)0.6177375
Kurtosis0.10621824
Mean14.027027
Median Absolute Deviation (MAD)6
Skewness0.48466234
Sum519
Variance75.082583
MonotonicityNot monotonic
2024-03-23T07:21:35.261095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 7
14.6%
12 3
 
6.2%
1 3
 
6.2%
22 3
 
6.2%
20 2
 
4.2%
23 2
 
4.2%
24 2
 
4.2%
3 2
 
4.2%
18 2
 
4.2%
17 2
 
4.2%
Other values (9) 9
18.8%
(Missing) 11
22.9%
ValueCountFrequency (%)
1 3
6.2%
2 1
 
2.1%
3 2
 
4.2%
5 1
 
2.1%
7 1
 
2.1%
9 1
 
2.1%
10 7
14.6%
12 3
6.2%
13 1
 
2.1%
14 1
 
2.1%
ValueCountFrequency (%)
37 1
 
2.1%
32 1
 
2.1%
24 2
4.2%
23 2
4.2%
22 3
6.2%
20 2
4.2%
18 2
4.2%
17 2
4.2%
15 1
 
2.1%
14 1
 
2.1%

기타
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)37.2%
Missing5
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean6.8837209
Minimum0
Maximum38
Zeros3
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:35.736162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q13
median4
Q310
95-th percentile15
Maximum38
Range38
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.0210883
Coefficient of variation (CV)1.0199554
Kurtosis8.6619314
Mean6.8837209
Median Absolute Deviation (MAD)3
Skewness2.4906301
Sum296
Variance49.295681
MonotonicityNot monotonic
2024-03-23T07:21:36.245761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 7
14.6%
3 5
10.4%
1 4
 
8.3%
2 3
 
6.2%
0 3
 
6.2%
7 3
 
6.2%
12 2
 
4.2%
15 2
 
4.2%
10 2
 
4.2%
6 2
 
4.2%
Other values (6) 10
20.8%
(Missing) 5
10.4%
ValueCountFrequency (%)
0 3
6.2%
1 4
8.3%
2 3
6.2%
3 5
10.4%
4 7
14.6%
5 2
 
4.2%
6 2
 
4.2%
7 3
6.2%
8 2
 
4.2%
10 2
 
4.2%
ValueCountFrequency (%)
38 1
 
2.1%
24 1
 
2.1%
15 2
4.2%
13 2
4.2%
12 2
4.2%
11 2
4.2%
10 2
4.2%
8 2
4.2%
7 3
6.2%
6 2
4.2%

기타상담
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)44.8%
Missing19
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean4.6551724
Minimum0
Maximum12
Zeros3
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:36.698545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q37
95-th percentile11
Maximum12
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.6082828
Coefficient of variation (CV)0.77511259
Kurtosis-0.75253567
Mean4.6551724
Median Absolute Deviation (MAD)2
Skewness0.61918749
Sum135
Variance13.019704
MonotonicityNot monotonic
2024-03-23T07:21:37.158099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 8
16.7%
1 3
 
6.2%
6 3
 
6.2%
0 3
 
6.2%
2 2
 
4.2%
11 2
 
4.2%
9 2
 
4.2%
10 1
 
2.1%
7 1
 
2.1%
8 1
 
2.1%
Other values (3) 3
 
6.2%
(Missing) 19
39.6%
ValueCountFrequency (%)
0 3
 
6.2%
1 3
 
6.2%
2 2
 
4.2%
3 8
16.7%
4 1
 
2.1%
5 1
 
2.1%
6 3
 
6.2%
7 1
 
2.1%
8 1
 
2.1%
9 2
 
4.2%
ValueCountFrequency (%)
12 1
 
2.1%
11 2
 
4.2%
10 1
 
2.1%
9 2
 
4.2%
8 1
 
2.1%
7 1
 
2.1%
6 3
 
6.2%
5 1
 
2.1%
4 1
 
2.1%
3 8
16.7%

미감지
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)77.8%
Missing21
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean28.851852
Minimum7
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:37.588537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13.3
Q121
median27
Q337.5
95-th percentile44.7
Maximum54
Range47
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation11.508203
Coefficient of variation (CV)0.39887226
Kurtosis-0.53019363
Mean28.851852
Median Absolute Deviation (MAD)9
Skewness0.28476158
Sum779
Variance132.43875
MonotonicityNot monotonic
2024-03-23T07:21:38.127732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37 2
 
4.2%
28 2
 
4.2%
21 2
 
4.2%
44 2
 
4.2%
18 2
 
4.2%
22 2
 
4.2%
54 1
 
2.1%
30 1
 
2.1%
43 1
 
2.1%
38 1
 
2.1%
Other values (11) 11
22.9%
(Missing) 21
43.8%
ValueCountFrequency (%)
7 1
2.1%
13 1
2.1%
14 1
2.1%
18 2
4.2%
20 1
2.1%
21 2
4.2%
22 2
4.2%
24 1
2.1%
25 1
2.1%
26 1
2.1%
ValueCountFrequency (%)
54 1
2.1%
45 1
2.1%
44 2
4.2%
43 1
2.1%
40 1
2.1%
38 1
2.1%
37 2
4.2%
33 1
2.1%
30 1
2.1%
28 2
4.2%

미감지점검
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)48.9%
Missing3
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean12.844444
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:39.018341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q19
median12
Q316
95-th percentile22
Maximum30
Range29
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.2266128
Coefficient of variation (CV)0.48477089
Kurtosis0.742373
Mean12.844444
Median Absolute Deviation (MAD)4
Skewness0.7043637
Sum578
Variance38.770707
MonotonicityNot monotonic
2024-03-23T07:21:39.928280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
11 5
 
10.4%
13 4
 
8.3%
10 4
 
8.3%
15 4
 
8.3%
8 3
 
6.2%
12 2
 
4.2%
6 2
 
4.2%
17 2
 
4.2%
19 2
 
4.2%
16 2
 
4.2%
Other values (12) 15
31.2%
(Missing) 3
 
6.2%
ValueCountFrequency (%)
1 1
 
2.1%
3 1
 
2.1%
4 1
 
2.1%
5 1
 
2.1%
6 2
 
4.2%
7 2
 
4.2%
8 3
6.2%
9 2
 
4.2%
10 4
8.3%
11 5
10.4%
ValueCountFrequency (%)
30 1
 
2.1%
29 1
 
2.1%
22 2
4.2%
21 1
 
2.1%
20 1
 
2.1%
19 2
4.2%
18 1
 
2.1%
17 2
4.2%
16 2
4.2%
15 4
8.3%

미수신
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)46.2%
Missing22
Missing (%)45.8%
Infinite0
Infinite (%)0.0%
Mean5.7692308
Minimum0
Maximum22
Zeros1
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:40.847412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q37.25
95-th percentile17.75
Maximum22
Range22
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation5.9619305
Coefficient of variation (CV)1.0334013
Kurtosis1.3273094
Mean5.7692308
Median Absolute Deviation (MAD)1
Skewness1.5282214
Sum150
Variance35.544615
MonotonicityNot monotonic
2024-03-23T07:21:41.533966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 7
 
14.6%
4 4
 
8.3%
3 4
 
8.3%
13 2
 
4.2%
1 2
 
4.2%
0 1
 
2.1%
5 1
 
2.1%
8 1
 
2.1%
17 1
 
2.1%
18 1
 
2.1%
Other values (2) 2
 
4.2%
(Missing) 22
45.8%
ValueCountFrequency (%)
0 1
 
2.1%
1 2
 
4.2%
2 7
14.6%
3 4
8.3%
4 4
8.3%
5 1
 
2.1%
8 1
 
2.1%
10 1
 
2.1%
13 2
 
4.2%
17 1
 
2.1%
ValueCountFrequency (%)
22 1
 
2.1%
18 1
 
2.1%
17 1
 
2.1%
13 2
 
4.2%
10 1
 
2.1%
8 1
 
2.1%
5 1
 
2.1%
4 4
8.3%
3 4
8.3%
2 7
14.6%

미수신점검
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)60.9%
Missing2
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean19.065217
Minimum3
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:42.301373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.25
Q111
median16
Q326
95-th percentile37
Maximum57
Range54
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.229727
Coefficient of variation (CV)0.58901646
Kurtosis2.0535158
Mean19.065217
Median Absolute Deviation (MAD)7
Skewness1.2439295
Sum877
Variance126.10676
MonotonicityNot monotonic
2024-03-23T07:21:43.147118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
14 3
 
6.2%
13 3
 
6.2%
9 3
 
6.2%
16 3
 
6.2%
15 2
 
4.2%
21 2
 
4.2%
22 2
 
4.2%
27 2
 
4.2%
26 2
 
4.2%
30 2
 
4.2%
Other values (18) 22
45.8%
ValueCountFrequency (%)
3 1
 
2.1%
4 1
 
2.1%
6 1
 
2.1%
7 1
 
2.1%
8 2
4.2%
9 3
6.2%
10 2
4.2%
11 2
4.2%
12 1
 
2.1%
13 3
6.2%
ValueCountFrequency (%)
57 1
2.1%
48 1
2.1%
38 1
2.1%
34 1
2.1%
32 1
2.1%
30 2
4.2%
29 1
2.1%
28 1
2.1%
27 2
4.2%
26 2
4.2%

민원
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
24 
<NA>
23 
2
 
1

Length

Max length4
Median length1
Mean length2.4375
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row2
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 24
50.0%
<NA> 23
47.9%
2 1
 
2.1%

Length

2024-03-23T07:21:43.903438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:21:44.304827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
50.0%
na 23
47.9%
2 1
 
2.1%

민원상담
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
24 
<NA>
23 
2
 
1

Length

Max length4
Median length1
Mean length2.4375
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 24
50.0%
<NA> 23
47.9%
2 1
 
2.1%

Length

2024-03-23T07:21:44.654568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:21:45.050611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
50.0%
na 23
47.9%
2 1
 
2.1%

민원점검
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
24 
<NA>
23 
1
 
1

Length

Max length4
Median length1
Mean length2.4375
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 24
50.0%
<NA> 23
47.9%
1 1
 
2.1%

Length

2024-03-23T07:21:45.397946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:21:45.678185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
50.0%
na 23
47.9%
1 1
 
2.1%

신규설치
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)24.0%
Missing23
Missing (%)47.9%
Infinite0
Infinite (%)0.0%
Mean1.16
Minimum0
Maximum6
Zeros10
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:45.908184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3.8
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4910846
Coefficient of variation (CV)1.2854178
Kurtosis3.6863776
Mean1.16
Median Absolute Deviation (MAD)1
Skewness1.8345135
Sum29
Variance2.2233333
MonotonicityNot monotonic
2024-03-23T07:21:46.281578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 10
20.8%
1 9
 
18.8%
2 2
 
4.2%
3 2
 
4.2%
6 1
 
2.1%
4 1
 
2.1%
(Missing) 23
47.9%
ValueCountFrequency (%)
0 10
20.8%
1 9
18.8%
2 2
 
4.2%
3 2
 
4.2%
4 1
 
2.1%
6 1
 
2.1%
ValueCountFrequency (%)
6 1
 
2.1%
4 1
 
2.1%
3 2
 
4.2%
2 2
 
4.2%
1 9
18.8%
0 10
20.8%

장기부재
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)40.5%
Missing11
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean15.378378
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:46.714842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.8
Q113
median15
Q320
95-th percentile21.2
Maximum23
Range22
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.6508742
Coefficient of variation (CV)0.30242943
Kurtosis0.94454105
Mean15.378378
Median Absolute Deviation (MAD)3
Skewness-0.61354601
Sum569
Variance21.630631
MonotonicityNot monotonic
2024-03-23T07:21:47.257179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
13 5
10.4%
17 5
10.4%
21 5
10.4%
15 4
 
8.3%
10 3
 
6.2%
11 3
 
6.2%
20 3
 
6.2%
16 2
 
4.2%
1 1
 
2.1%
14 1
 
2.1%
Other values (5) 5
10.4%
(Missing) 11
22.9%
ValueCountFrequency (%)
1 1
 
2.1%
9 1
 
2.1%
10 3
6.2%
11 3
6.2%
12 1
 
2.1%
13 5
10.4%
14 1
 
2.1%
15 4
8.3%
16 2
 
4.2%
17 5
10.4%
ValueCountFrequency (%)
23 1
 
2.1%
22 1
 
2.1%
21 5
10.4%
20 3
6.2%
18 1
 
2.1%
17 5
10.4%
16 2
 
4.2%
15 4
8.3%
14 1
 
2.1%
13 5
10.4%

장비교체
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
23 
<NA>
22 
2
 
2
1
 
1

Length

Max length4
Median length1
Mean length2.375
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row1
2nd row2
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 23
47.9%
<NA> 22
45.8%
2 2
 
4.2%
1 1
 
2.1%

Length

2024-03-23T07:21:47.785668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:21:48.175114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
47.9%
na 22
45.8%
2 2
 
4.2%
1 1
 
2.1%

장비설치
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)20.0%
Missing8
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean1.8
Minimum0
Maximum9
Zeros11
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:48.562468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6.05
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0406133
Coefficient of variation (CV)1.133674
Kurtosis3.5352943
Mean1.8
Median Absolute Deviation (MAD)1
Skewness1.7716463
Sum72
Variance4.1641026
MonotonicityNot monotonic
2024-03-23T07:21:49.042756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 13
27.1%
0 11
22.9%
3 5
 
10.4%
2 5
 
10.4%
4 3
 
6.2%
9 1
 
2.1%
7 1
 
2.1%
6 1
 
2.1%
(Missing) 8
16.7%
ValueCountFrequency (%)
0 11
22.9%
1 13
27.1%
2 5
 
10.4%
3 5
 
10.4%
4 3
 
6.2%
6 1
 
2.1%
7 1
 
2.1%
9 1
 
2.1%
ValueCountFrequency (%)
9 1
 
2.1%
7 1
 
2.1%
6 1
 
2.1%
4 3
 
6.2%
3 5
 
10.4%
2 5
 
10.4%
1 13
27.1%
0 11
22.9%

장애상담
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
0
24 
<NA>
23 
1
 
1

Length

Max length4
Median length1
Mean length2.4375
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
0 24
50.0%
<NA> 23
47.9%
1 1
 
2.1%

Length

2024-03-23T07:21:49.673778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:21:50.066660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
50.0%
na 23
47.9%
1 1
 
2.1%

전원차단
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7083333
Minimum0
Maximum16
Zeros1
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:50.580699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.35
Q12
median5
Q38.25
95-th percentile11.65
Maximum16
Range16
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation3.6609401
Coefficient of variation (CV)0.64133257
Kurtosis-0.091279601
Mean5.7083333
Median Absolute Deviation (MAD)3
Skewness0.66441987
Sum274
Variance13.402482
MonotonicityNot monotonic
2024-03-23T07:21:51.058339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 10
20.8%
4 6
12.5%
7 5
10.4%
9 5
10.4%
6 4
 
8.3%
5 3
 
6.2%
11 3
 
6.2%
3 3
 
6.2%
8 2
 
4.2%
1 2
 
4.2%
Other values (5) 5
10.4%
ValueCountFrequency (%)
0 1
 
2.1%
1 2
 
4.2%
2 10
20.8%
3 3
 
6.2%
4 6
12.5%
5 3
 
6.2%
6 4
 
8.3%
7 5
10.4%
8 2
 
4.2%
9 5
10.4%
ValueCountFrequency (%)
16 1
 
2.1%
13 1
 
2.1%
12 1
 
2.1%
11 3
6.2%
10 1
 
2.1%
9 5
10.4%
8 2
 
4.2%
7 5
10.4%
6 4
8.3%
5 3
6.2%

전화상담
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)44.1%
Missing14
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean6.2647059
Minimum0
Maximum22
Zeros4
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:51.767279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median4.5
Q310
95-th percentile16.8
Maximum22
Range22
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation5.6745515
Coefficient of variation (CV)0.90579695
Kurtosis1.6337094
Mean6.2647059
Median Absolute Deviation (MAD)3.5
Skewness1.3001396
Sum213
Variance32.200535
MonotonicityNot monotonic
2024-03-23T07:21:52.276687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 5
 
10.4%
0 4
 
8.3%
1 3
 
6.2%
3 3
 
6.2%
10 3
 
6.2%
5 3
 
6.2%
2 2
 
4.2%
6 2
 
4.2%
11 2
 
4.2%
22 2
 
4.2%
Other values (5) 5
 
10.4%
(Missing) 14
29.2%
ValueCountFrequency (%)
0 4
8.3%
1 3
6.2%
2 2
 
4.2%
3 3
6.2%
4 5
10.4%
5 3
6.2%
6 2
 
4.2%
7 1
 
2.1%
8 1
 
2.1%
10 3
6.2%
ValueCountFrequency (%)
22 2
4.2%
14 1
 
2.1%
13 1
 
2.1%
12 1
 
2.1%
11 2
4.2%
10 3
6.2%
8 1
 
2.1%
7 1
 
2.1%
6 2
4.2%
5 3
6.2%

현장상담
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)75.7%
Missing11
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean90.243243
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:21:52.852001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile62
Q181
median95
Q3103
95-th percentile112.6
Maximum128
Range127
Interquartile range (IQR)22

Descriptive statistics

Standard deviation21.61713
Coefficient of variation (CV)0.23954292
Kurtosis7.159902
Mean90.243243
Median Absolute Deviation (MAD)11
Skewness-1.9198338
Sum3339
Variance467.3003
MonotonicityNot monotonic
2024-03-23T07:21:53.298523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
95 3
 
6.2%
62 2
 
4.2%
99 2
 
4.2%
94 2
 
4.2%
88 2
 
4.2%
85 2
 
4.2%
103 2
 
4.2%
108 2
 
4.2%
83 1
 
2.1%
101 1
 
2.1%
Other values (18) 18
37.5%
(Missing) 11
22.9%
ValueCountFrequency (%)
1 1
2.1%
62 2
4.2%
63 1
2.1%
74 1
2.1%
75 1
2.1%
76 1
2.1%
77 1
2.1%
78 1
2.1%
81 1
2.1%
83 1
2.1%
ValueCountFrequency (%)
128 1
2.1%
123 1
2.1%
110 1
2.1%
109 1
2.1%
108 2
4.2%
107 1
2.1%
106 1
2.1%
103 2
4.2%
101 1
2.1%
100 1
2.1%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2024-03-08 00:00:00
Maximum2024-03-08 00:00:00
2024-03-23T07:21:53.736879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:21:54.295367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

상담연월장비점검119호출기타기타상담미감지미감지점검미수신미수신점검민원민원상담민원점검신규설치장기부재장비교체장비설치장애상담전원차단전화상담현장상담데이터 기준일
02020-01-01221<NA><NA>18<NA>13<NA>2<NA>1211<NA><NA>8<NA><NA>2024-03-08
12020-02-0122<NA><NA><NA>13<NA>4<NA><NA><NA><NA><NA><NA>2<NA><NA>1<NA><NA>2024-03-08
22020-03-0127<NA>4<NA>79<NA>4<NA><NA><NA><NA><NA><NA><NA><NA>5<NA><NA>2024-03-08
32020-04-0151<NA><NA><NA><NA><NA><NA>9<NA><NA><NA><NA><NA><NA><NA><NA>7<NA>12024-03-08
42020-05-0158<NA>6<NA><NA>13<NA>8<NA><NA><NA><NA><NA><NA><NA><NA>8<NA><NA>2024-03-08
52020-06-0161<NA>11<NA>8<NA>10<NA><NA><NA><NA><NA><NA><NA><NA>7<NA><NA>2024-03-08
62020-07-0153<NA>36<NA>11<NA>13<NA><NA><NA><NA><NA><NA><NA><NA>11<NA><NA>2024-03-08
72020-08-0123<NA>122<NA>9<NA>11<NA>2<NA><NA><NA><NA>116<NA><NA>2024-03-08
82020-09-0143<NA>153<NA>13<NA>28<NA><NA><NA><NA><NA><NA>1<NA>112<NA>2024-03-08
92020-10-0141<NA>10<NA><NA>10<NA>16<NA><NA><NA><NA><NA><NA>9<NA>7<NA><NA>2024-03-08
상담연월장비점검119호출기타기타상담미감지미감지점검미수신미수신점검민원민원상담민원점검신규설치장기부재장비교체장비설치장애상담전원차단전화상담현장상담데이터 기준일
382023-03-0160121111371731600002100067992024-03-08
392023-04-016822842182320004170203111102024-03-08
402023-05-0159101262112812000015000410892024-03-08
412023-06-01555452231321000018010441062024-03-08
422023-07-0150107940151721000021000714782024-03-08
432023-08-014738328151834000120000922882024-03-08
442023-09-0139325325101038000021000912772024-03-08
452023-10-01531833287248000020000222992024-03-08
462023-11-01491012241242700002000028762024-03-08
472023-12-0138110204225700001700005972024-03-08