Overview

Dataset statistics

Number of variables6
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory52.7 B

Variable types

Numeric1
Categorical5

Dataset

Description인천광역시 계양구 민간구급차에 대한 정보로, 번호, 시도, 구군, 기관명, 구급차 유형, 기관 대표 전화번호 등을 제공합니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/15037927/fileData.do

Alerts

시도 has constant value ""Constant
구급차유형 has constant value ""Constant
구군 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
기관대표전화번호 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
기관명 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
번호 is highly overall correlated with 구군 and 2 other fieldsHigh correlation
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 17:10:32.824796
Analysis finished2024-03-14 17:10:34.291701
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size443.0 B
2024-03-15T02:10:34.503584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2024-03-15T02:10:35.043453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size408.0 B
인천광역시
35 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천광역시 35
100.0%

Length

2024-03-15T02:10:35.281735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:10:35.450671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 35
100.0%

구군
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size408.0 B
서구
25 
남동구
10 

Length

Max length3
Median length2
Mean length2.2857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 25
71.4%
남동구 10
 
28.6%

Length

2024-03-15T02:10:35.727679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:10:35.906647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 25
71.4%
남동구 10
 
28.6%

기관명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size408.0 B
(주)129응급환자이송단
10 
(주)911응급환자이송단
9 
(주)우리119이엠에스
6 
(주)경인응급구조단
5 
(주)인천1339에이엠에스
5 

Length

Max length14
Median length13
Mean length12.542857
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(주)129응급환자이송단
2nd row(주)129응급환자이송단
3rd row(주)129응급환자이송단
4th row(주)129응급환자이송단
5th row(주)129응급환자이송단

Common Values

ValueCountFrequency (%)
(주)129응급환자이송단 10
28.6%
(주)911응급환자이송단 9
25.7%
(주)우리119이엠에스 6
17.1%
(주)경인응급구조단 5
14.3%
(주)인천1339에이엠에스 5
14.3%

Length

2024-03-15T02:10:36.183656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:10:36.420845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주)129응급환자이송단 10
28.6%
주)911응급환자이송단 9
25.7%
주)우리119이엠에스 6
17.1%
주)경인응급구조단 5
14.3%
주)인천1339에이엠에스 5
14.3%

구급차유형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size408.0 B
특수구급차
35 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
특수구급차 35
100.0%

Length

2024-03-15T02:10:36.756065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:10:37.076123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특수구급차 35
100.0%

기관대표전화번호
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size408.0 B
032-464-9111
10 
032-584-7500
9 
032-522-1190
6 
032-563-8912
5 
032-567-1339
5 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row032-464-9111
2nd row032-464-9111
3rd row032-464-9111
4th row032-464-9111
5th row032-464-9111

Common Values

ValueCountFrequency (%)
032-464-9111 10
28.6%
032-584-7500 9
25.7%
032-522-1190 6
17.1%
032-563-8912 5
14.3%
032-567-1339 5
14.3%

Length

2024-03-15T02:10:37.414918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:10:37.724322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-464-9111 10
28.6%
032-584-7500 9
25.7%
032-522-1190 6
17.1%
032-563-8912 5
14.3%
032-567-1339 5
14.3%

Interactions

2024-03-15T02:10:33.259538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:10:37.874820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구군기관명기관대표전화번호
번호1.0000.9930.9920.992
구군0.9931.0001.0001.000
기관명0.9921.0001.0001.000
기관대표전화번호0.9921.0001.0001.000
2024-03-15T02:10:38.110562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구군기관대표전화번호기관명
구군1.0000.9530.953
기관대표전화번호0.9531.0001.000
기관명0.9531.0001.000
2024-03-15T02:10:38.359917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구군기관명기관대표전화번호
번호1.0000.8060.8130.813
구군0.8061.0000.9530.953
기관명0.8130.9531.0001.000
기관대표전화번호0.8130.9531.0001.000

Missing values

2024-03-15T02:10:33.807174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:10:34.153621image/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

번호시도구군기관명구급차유형기관대표전화번호
01인천광역시남동구(주)129응급환자이송단특수구급차032-464-9111
12인천광역시남동구(주)129응급환자이송단특수구급차032-464-9111
23인천광역시남동구(주)129응급환자이송단특수구급차032-464-9111
34인천광역시남동구(주)129응급환자이송단특수구급차032-464-9111
45인천광역시남동구(주)129응급환자이송단특수구급차032-464-9111
56인천광역시남동구(주)129응급환자이송단특수구급차032-464-9111
67인천광역시남동구(주)129응급환자이송단특수구급차032-464-9111
78인천광역시남동구(주)129응급환자이송단특수구급차032-464-9111
89인천광역시남동구(주)129응급환자이송단특수구급차032-464-9111
910인천광역시남동구(주)129응급환자이송단특수구급차032-464-9111
번호시도구군기관명구급차유형기관대표전화번호
2526인천광역시서구(주)우리119이엠에스특수구급차032-522-1190
2627인천광역시서구(주)우리119이엠에스특수구급차032-522-1190
2728인천광역시서구(주)우리119이엠에스특수구급차032-522-1190
2829인천광역시서구(주)우리119이엠에스특수구급차032-522-1190
2930인천광역시서구(주)우리119이엠에스특수구급차032-522-1190
3031인천광역시서구(주)인천1339에이엠에스특수구급차032-567-1339
3132인천광역시서구(주)인천1339에이엠에스특수구급차032-567-1339
3233인천광역시서구(주)인천1339에이엠에스특수구급차032-567-1339
3334인천광역시서구(주)인천1339에이엠에스특수구급차032-567-1339
3435인천광역시서구(주)인천1339에이엠에스특수구급차032-567-1339