Overview

Dataset statistics

Number of variables12
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory110.6 B

Variable types

DateTime1
Numeric5
Categorical6

Dataset

Description광주광역시 소방안전본부 각 유형별 이동전화 위치조회 실적 파일 제공합니다. (대상기간 2021년~2023년)
Author광주광역시
URLhttps://www.data.go.kr/data/15054628/fileData.do

Alerts

타시도이첩 is highly overall correlated with 신고취소(구조거부) and 1 other fieldsHigh correlation
신고취소(구조거부) is highly overall correlated with 타시도이첩 and 1 other fieldsHigh correlation
조회실패 is highly overall correlated with 타시도이첩 and 1 other fieldsHigh correlation
사체발견 is highly imbalanced (52.2%)Imbalance
연월 has unique valuesUnique
구조 has 3 (8.3%) zerosZeros
타기관인계 has 6 (16.7%) zerosZeros
가족연락(가족발견) has 10 (27.8%) zerosZeros
타시도이첩 has 9 (25.0%) zerosZeros
기타 has 9 (25.0%) zerosZeros

Reproduction

Analysis started2024-03-15 00:54:48.783246
Analysis finished2024-03-15 00:54:56.796026
Duration8.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연월
Date

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
Minimum2021-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-03-15T09:54:56.915334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:57.236312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

구조
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6944444
Minimum0
Maximum20
Zeros3
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T09:54:57.433707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4.5
Q37
95-th percentile13.5
Maximum20
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.4260233
Coefficient of variation (CV)0.77725288
Kurtosis2.1654022
Mean5.6944444
Median Absolute Deviation (MAD)2.5
Skewness1.3714042
Sum205
Variance19.589683
MonotonicityNot monotonic
2024-03-15T09:54:57.656059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4 6
16.7%
3 5
13.9%
7 5
13.9%
6 3
8.3%
0 3
8.3%
5 3
8.3%
2 3
8.3%
13 2
 
5.6%
10 1
 
2.8%
15 1
 
2.8%
Other values (4) 4
11.1%
ValueCountFrequency (%)
0 3
8.3%
1 1
 
2.8%
2 3
8.3%
3 5
13.9%
4 6
16.7%
5 3
8.3%
6 3
8.3%
7 5
13.9%
8 1
 
2.8%
10 1
 
2.8%
ValueCountFrequency (%)
20 1
 
2.8%
15 1
 
2.8%
13 2
 
5.6%
12 1
 
2.8%
10 1
 
2.8%
8 1
 
2.8%
7 5
13.9%
6 3
8.3%
5 3
8.3%
4 6
16.7%

사체발견
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
30 
1
5 
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
83.3%
1 5
 
13.9%
7 1
 
2.8%

Length

2024-03-15T09:54:58.073048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:54:58.423091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
83.3%
1 5
 
13.9%
7 1
 
2.8%

수색중 연락
Categorical

Distinct5
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
20 
1
8 
2
5 
3
 
2
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row6

Common Values

ValueCountFrequency (%)
0 20
55.6%
1 8
 
22.2%
2 5
 
13.9%
3 2
 
5.6%
6 1
 
2.8%

Length

2024-03-15T09:54:58.791174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:54:59.135752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
55.6%
1 8
 
22.2%
2 5
 
13.9%
3 2
 
5.6%
6 1
 
2.8%

자체귀가
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
26 
1
8 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
72.2%
1 8
 
22.2%
2 2
 
5.6%

Length

2024-03-15T09:54:59.494557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:54:59.829569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
72.2%
1 8
 
22.2%
2 2
 
5.6%

타기관인계
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3333333
Minimum0
Maximum17
Zeros6
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T09:55:00.139796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile7.25
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4723397
Coefficient of variation (CV)1.0417019
Kurtosis5.4145754
Mean3.3333333
Median Absolute Deviation (MAD)2
Skewness1.8618606
Sum120
Variance12.057143
MonotonicityNot monotonic
2024-03-15T09:55:00.544493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 9
25.0%
0 6
16.7%
6 6
16.7%
2 5
13.9%
3 3
 
8.3%
7 3
 
8.3%
5 2
 
5.6%
8 1
 
2.8%
17 1
 
2.8%
ValueCountFrequency (%)
0 6
16.7%
1 9
25.0%
2 5
13.9%
3 3
 
8.3%
5 2
 
5.6%
6 6
16.7%
7 3
 
8.3%
8 1
 
2.8%
17 1
 
2.8%
ValueCountFrequency (%)
17 1
 
2.8%
8 1
 
2.8%
7 3
 
8.3%
6 6
16.7%
5 2
 
5.6%
3 3
 
8.3%
2 5
13.9%
1 9
25.0%
0 6
16.7%

가족연락(가족발견)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5833333
Minimum0
Maximum5
Zeros10
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T09:55:00.936428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4217695
Coefficient of variation (CV)0.8979597
Kurtosis-0.37876712
Mean1.5833333
Median Absolute Deviation (MAD)1
Skewness0.67410968
Sum57
Variance2.0214286
MonotonicityNot monotonic
2024-03-15T09:55:01.297795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 10
27.8%
2 9
25.0%
1 9
25.0%
4 4
 
11.1%
3 3
 
8.3%
5 1
 
2.8%
ValueCountFrequency (%)
0 10
27.8%
1 9
25.0%
2 9
25.0%
3 3
 
8.3%
4 4
 
11.1%
5 1
 
2.8%
ValueCountFrequency (%)
5 1
 
2.8%
4 4
 
11.1%
3 3
 
8.3%
2 9
25.0%
1 9
25.0%
0 10
27.8%

미발견
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
14 
2
10 
1
8 
3
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row0
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
0 14
38.9%
2 10
27.8%
1 8
22.2%
3 4
 
11.1%

Length

2024-03-15T09:55:01.715816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:55:02.083093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
38.9%
2 10
27.8%
1 8
22.2%
3 4
 
11.1%

신고취소(구조거부)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
25 
1
10 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
69.4%
1 10
 
27.8%
3 1
 
2.8%

Length

2024-03-15T09:55:02.455307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:55:02.786397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
69.4%
1 10
 
27.8%
3 1
 
2.8%

조회실패
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size416.0 B
0
27 
1
7 
3
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
75.0%
1 7
 
19.4%
3 1
 
2.8%
2 1
 
2.8%

Length

2024-03-15T09:55:03.107994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:55:03.302707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
75.0%
1 7
 
19.4%
3 1
 
2.8%
2 1
 
2.8%

타시도이첩
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6666667
Minimum0
Maximum5
Zeros9
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T09:55:03.473423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median1
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.4142136
Coefficient of variation (CV)0.84852814
Kurtosis-0.68059587
Mean1.6666667
Median Absolute Deviation (MAD)1
Skewness0.50626469
Sum60
Variance2
MonotonicityNot monotonic
2024-03-15T09:55:03.671226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 10
27.8%
0 9
25.0%
3 7
19.4%
2 6
16.7%
4 3
 
8.3%
5 1
 
2.8%
ValueCountFrequency (%)
0 9
25.0%
1 10
27.8%
2 6
16.7%
3 7
19.4%
4 3
 
8.3%
5 1
 
2.8%
ValueCountFrequency (%)
5 1
 
2.8%
4 3
 
8.3%
3 7
19.4%
2 6
16.7%
1 10
27.8%
0 9
25.0%

기타
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5555556
Minimum0
Maximum11
Zeros9
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-03-15T09:55:03.864078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median1.5
Q35
95-th percentile7.25
Maximum11
Range11
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation2.751046
Coefficient of variation (CV)1.0764963
Kurtosis1.0832498
Mean2.5555556
Median Absolute Deviation (MAD)1.5
Skewness1.235542
Sum92
Variance7.568254
MonotonicityNot monotonic
2024-03-15T09:55:04.186904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 9
25.0%
1 9
25.0%
2 6
16.7%
5 4
11.1%
6 3
 
8.3%
7 1
 
2.8%
8 1
 
2.8%
3 1
 
2.8%
4 1
 
2.8%
11 1
 
2.8%
ValueCountFrequency (%)
0 9
25.0%
1 9
25.0%
2 6
16.7%
3 1
 
2.8%
4 1
 
2.8%
5 4
11.1%
6 3
 
8.3%
7 1
 
2.8%
8 1
 
2.8%
11 1
 
2.8%
ValueCountFrequency (%)
11 1
 
2.8%
8 1
 
2.8%
7 1
 
2.8%
6 3
 
8.3%
5 4
11.1%
4 1
 
2.8%
3 1
 
2.8%
2 6
16.7%
1 9
25.0%
0 9
25.0%

Interactions

2024-03-15T09:54:54.645948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:49.636254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:50.924885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:52.151130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:53.398664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:54.858679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:49.903799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:51.198738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:52.397328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:53.668141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:55.048824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:50.162748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:51.458688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:52.657981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:53.925624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:55.291755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:50.418190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:51.706415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:52.904019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:54.165048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:55.532081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:50.671440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:51.953536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:53.145693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:54:54.405006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:55:04.389508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연월구조사체발견수색중 연락자체귀가타기관인계가족연락(가족발견)미발견신고취소(구조거부)조회실패타시도이첩기타
연월1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
구조1.0001.0000.0000.0000.0000.5150.0000.3620.0000.0000.0000.000
사체발견1.0000.0001.0000.0000.0000.2480.0000.0000.0000.0000.4960.000
수색중 연락1.0000.0000.0001.0000.3110.0000.0000.3180.0000.0000.2190.493
자체귀가1.0000.0000.0000.3111.0000.2900.2670.0000.0000.0000.0000.000
타기관인계1.0000.5150.2480.0000.2901.0000.7970.2810.0000.0800.0000.000
가족연락(가족발견)1.0000.0000.0000.0000.2670.7971.0000.1660.0000.0000.0000.000
미발견1.0000.3620.0000.3180.0000.2810.1661.0000.1500.5860.0000.354
신고취소(구조거부)1.0000.0000.0000.0000.0000.0000.0000.1501.0000.6540.9610.000
조회실패1.0000.0000.0000.0000.0000.0800.0000.5860.6541.0000.7290.000
타시도이첩1.0000.0000.4960.2190.0000.0000.0000.0000.9610.7291.0000.000
기타1.0000.0000.0000.4930.0000.0000.0000.3540.0000.0000.0001.000
2024-03-15T09:55:04.625759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수색중 연락신고취소(구조거부)조회실패자체귀가사체발견미발견
수색중 연락1.0000.0000.0000.2330.0000.254
신고취소(구조거부)0.0001.0000.6680.0000.0000.130
조회실패0.0000.6681.0000.0000.0000.257
자체귀가0.2330.0000.0001.0000.0000.000
사체발견0.0000.0000.0000.0001.0000.000
미발견0.2540.1300.2570.0000.0001.000
2024-03-15T09:55:04.832224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구조타기관인계가족연락(가족발견)타시도이첩기타사체발견수색중 연락자체귀가미발견신고취소(구조거부)조회실패
구조1.000-0.303-0.2770.083-0.1150.0000.0000.0000.0710.0000.000
타기관인계-0.3031.0000.052-0.178-0.2780.0770.0000.1000.1660.0000.000
가족연락(가족발견)-0.2770.0521.000-0.1000.0740.0000.0000.0880.0810.0000.000
타시도이첩0.083-0.178-0.1001.000-0.1890.2160.1310.0000.0000.7220.543
기타-0.115-0.2780.074-0.1891.0000.0000.2800.0000.1980.0000.000
사체발견0.0000.0770.0000.2160.0001.0000.0000.0000.0000.0000.000
수색중 연락0.0000.0000.0000.1310.2800.0001.0000.2330.2540.0000.000
자체귀가0.0000.1000.0880.0000.0000.0000.2331.0000.0000.0000.000
미발견0.0710.1660.0810.0000.1980.0000.2540.0001.0000.1300.257
신고취소(구조거부)0.0000.0000.0000.7220.0000.0000.0000.0000.1301.0000.668
조회실패0.0000.0000.0000.5430.0000.0000.0000.0000.2570.6681.000

Missing values

2024-03-15T09:54:56.268853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:54:56.683921image/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

연월구조사체발견수색중 연락자체귀가타기관인계가족연락(가족발견)미발견신고취소(구조거부)조회실패타시도이첩기타
02023-0160200430007
12023-0200006001132
22023-03131002020010
32023-0431011021041
42023-0570602010010
52023-0650005200002
62023-0730103013351
72023-08130001201040
82023-09100000001006
92023-1020111210201
연월구조사체발견수색중 연락자체귀가타기관인계가족연락(가족발견)미발견신고취소(구조거부)조회실패타시도이첩기타
262021-0330306130024
272021-04100117500001
282021-0580106211110
292021-0600007400012
302021-0770300101026
312021-0820126000011
322021-0941202220030
332021-1040012420126
342021-11202062200111
352021-1200002420012