gimi9 Pandas Profiling

Dataset statistics

Number of variables	13
Number of observations	426
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	47.6 KiB
Average record size in memory	114.3 B

Variable types

Categorical	3
Text	1
Numeric	9

Dataset

Description	한국기상산업기술원에서 생산한 AI 학습모델 기반 서울특별시 무더위쉼터 입지선정 자료입니다.해당 데이터는 기상자료를 활용하여 무더위쉼터 입지선정 적정성 여부를 서울특별시에 우선 적용하여 검증해 본 후,향후 타 지자체로의 확대 가능성을 보기 위한 사전 검증 자료임을 알려드립니다.1. 데이터 기준년도: 서울특별시 무더위쉼터 입지선정 자료(2024)2. 자료 출처: 한국기상산업기술원4. 자료 형태: 정형데이터가. 컬럼정보: 시도명, 시군구명, 읍면동명, 행정동코드, 자외선지수(평균), 노인체감온도(평균), 폭염시간합계(5~9월), 무더위쉼터수용가능인원, 버스정류소개수, 지하철역개수, 노령연금수급자수, 인구, 무더위쉼터적정여부
Author	한국기상산업기술원
URL	https://www.data.go.kr/data/15127455/fileData.do

Alerts

`시도명` has constant value ""	Constant
`행정동코드` is highly overall correlated with `시군구명`	High correlation
`무더위쉼터수용가능인원` is highly overall correlated with `노령연금수급자수`	High correlation
`버스정류소개수` is highly overall correlated with `인구`	High correlation
`노령연금수급자수` is highly overall correlated with `무더위쉼터수용가능인원` and 1 other fields	High correlation
`인구` is highly overall correlated with `버스정류소개수` and 1 other fields	High correlation
`시군구명` is highly overall correlated with `행정동코드`	High correlation
`읍면동명` has unique values	Unique
`행정동코드` has unique values	Unique
`지하철역개수` has 211 (49.5%) zeros	Zeros

Reproduction

Analysis started	2024-04-21 02:32:14.786772
Analysis finished	2024-04-21 02:32:24.190745
Duration	9.4 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

시도명
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

서울특별시	426

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	서울특별시
2nd row	서울특별시
3rd row	서울특별시
4th row	서울특별시
5th row	서울특별시

Common Values

Value	Count	Frequency (%)
서울특별시	426	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
서울특별시	426	100.0%

시군구명
Categorical

HIGH CORRELATION

Distinct	25
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

송파구	27
강남구	22
관악구	21
강서구	20
성북구	20
Other values (20)	316

Length

Max length	4
Median length	3
Mean length	3.07277
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	강남구
2nd row	강남구
3rd row	강남구
4th row	강남구
5th row	강남구

Common Values

Value	Count	Frequency (%)
송파구	27	6.3%
강남구	22	5.2%
관악구	21	4.9%
강서구	20	4.7%
성북구	20	4.7%
노원구	19	4.5%
강동구	19	4.5%
서초구	18	4.2%
영등포구	18	4.2%
양천구	18	4.2%
Other values (15)	224	52.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
송파구	27	6.3%
강남구	22	5.2%
관악구	21	4.9%
강서구	20	4.7%
성북구	20	4.7%
노원구	19	4.5%
강동구	19	4.5%
서초구	18	4.2%
영등포구	18	4.2%
양천구	18	4.2%
Other values (15)	224	52.6%

읍면동명
Text

UNIQUE

Distinct	426
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Length

Max length	11
Median length	7
Mean length	4.2300469
Min length	2

Characters and Unicode

Total characters	1802
Distinct characters	189
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	426 ?
Unique (%)	100.0%

Sample

1st row	개포1동
2nd row	개포2동
3rd row	개포3동
4th row	개포4동
5th row	논현1동

Value	Count	Frequency (%)
개포1동	1	0.2%
문정1동	1	0.2%
마천1동	1	0.2%
거여2동	1	0.2%
거여1동	1	0.2%
가락본동	1	0.2%
가락2동	1	0.2%
가락1동	1	0.2%
종암동	1	0.2%
정릉제4동	1	0.2%
Other values (416)	416	97.7%

Most occurring characters

Value	Count	Frequency (%)
동	428	23.8%
제	185	10.3%
1	98	5.4%
2	97	5.4%
3	44	2.4%
신	38	2.1%
4	26	1.4%
가	23	1.3%
곡	18	1.0%
상	17	0.9%
Other values (179)	828	45.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1497	83.1%
Decimal Number	294	16.3%
Other Punctuation	9	0.5%
Connector Punctuation	2	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	428	28.6%
제	185	12.4%
신	38	2.5%
가	23	1.5%
곡	18	1.2%
상	17	1.1%
계	17	1.1%
화	17	1.1%
방	16	1.1%
산	16	1.1%
Other values (167)	722	48.2%

Decimal Number

Value	Count	Frequency (%)
1	98	33.3%
2	97	33.0%
3	44	15.0%
4	26	8.8%
5	11	3.7%
6	7	2.4%
7	6	2.0%
8	3	1.0%
9	1	0.3%
0	1	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	9	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1497	83.1%
Common	305	16.9%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	428	28.6%
제	185	12.4%
신	38	2.5%
가	23	1.5%
곡	18	1.2%
상	17	1.1%
계	17	1.1%
화	17	1.1%
방	16	1.1%
산	16	1.1%
Other values (167)	722	48.2%

Common

Value	Count	Frequency (%)
1	98	32.1%
2	97	31.8%
3	44	14.4%
4	26	8.5%
5	11	3.6%
.	9	3.0%
6	7	2.3%
7	6	2.0%
8	3	1.0%
_	2	0.7%
Other values (2)	2	0.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1497	83.1%
ASCII	305	16.9%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
동	428	28.6%
제	185	12.4%
신	38	2.5%
가	23	1.5%
곡	18	1.2%
상	17	1.1%
계	17	1.1%
화	17	1.1%
방	16	1.1%
산	16	1.1%
Other values (167)	722	48.2%

ASCII

Value	Count	Frequency (%)
1	98	32.1%
2	97	31.8%
3	44	14.4%
4	26	8.5%
5	11	3.6%
.	9	3.0%
6	7	2.3%
7	6	2.0%
8	3	1.0%
_	2	0.7%
Other values (2)	2	0.7%

행정동코드
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	426
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1434146 × 10⁹

Minimum	1.1110515 × 10⁹
Maximum	1.17407 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	1.1110515 × 10⁹
5-th percentile	1.1140582 × 10⁹
Q1	1.1260656 × 10⁹
median	1.1440642 × 10⁹
Q3	1.1613064 × 10⁹
95-th percentile	1.1710688 × 10⁹
Maximum	1.17407 × 10⁹
Range	63018500
Interquartile range (IQR)	35240750

Descriptive statistics

Standard deviation	19207758
Coefficient of variation (CV)	0.016798595
Kurtosis	-1.2650027
Mean	1.1434146 × 10⁹
Median Absolute Deviation (MAD)	17993750
Skewness	-0.01625509
Sum	4.870946 × 10¹¹
Variance	3.6893797 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1168066000	1	0.2%
1171056200	1	0.2%
1171064200	1	0.2%
1171064100	1	0.2%
1171055000	1	0.2%
1171054000	1	0.2%
1171053200	1	0.2%
1171053100	1	0.2%
1171062000	1	0.2%
1171063200	1	0.2%
Other values (416)	416	97.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111051500	1	0.2%
1111053000	1	0.2%
1111054000	1	0.2%
1111055000	1	0.2%
1111056000	1	0.2%
1111057000	1	0.2%
1111058000	1	0.2%
1111060000	1	0.2%
1111061500	1	0.2%
1111063000	1	0.2%

Value	Count	Frequency (%)
1174070000	1	0.2%
1174069000	1	0.2%
1174068500	1	0.2%
1174066000	1	0.2%
1174065000	1	0.2%
1174064000	1	0.2%
1174062000	1	0.2%
1174061000	1	0.2%
1174060000	1	0.2%
1174059000	1	0.2%

자외선지수(평균)
Real number (ℝ)

Distinct	47
Distinct (%)	11.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.6466873

Minimum	6.4701493
Maximum	6.7686567
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	6.4701493
5-th percentile	6.5223881
Q1	6.6044776
median	6.6380597
Q3	6.7089552
95-th percentile	6.738806
Maximum	6.7686567
Range	0.29850746
Interquartile range (IQR)	0.10447761

Descriptive statistics

Standard deviation	0.067618567
Coefficient of variation (CV)	0.010173273
Kurtosis	-0.40411045
Mean	6.6466873
Median Absolute Deviation (MAD)	0.048507462
Skewness	-0.29794936
Sum	2831.4888
Variance	0.0045722707
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
6.731343284	38	8.9%
6.626865672	34	8.0%
6.634328358	29	6.8%
6.589552239	28	6.6%
6.619402985	21	4.9%
6.649253731	19	4.5%
6.73880597	18	4.2%
6.597014925	18	4.2%
6.708955224	16	3.8%
6.641791045	15	3.5%
Other values (37)	190	44.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6.470149254	5	1.2%
6.47761194	3	0.7%
6.507462687	1	0.2%
6.514925373	9	2.1%
6.52238806	7	1.6%
6.529850746	7	1.6%
6.537313433	7	1.6%
6.544776119	2	0.5%
6.552238806	6	1.4%
6.559701493	1	0.2%

Value	Count	Frequency (%)
6.768656716	1	0.2%
6.76119403	11	2.6%
6.753731343	4	0.9%
6.746268657	1	0.2%
6.73880597	18	4.2%
6.735074627	2	0.5%
6.731343284	38	8.9%
6.723880597	12	2.8%
6.71641791	11	2.6%
6.712686567	1	0.2%

노인체감온도(평균)
Real number (ℝ)

Distinct	28
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	28.298583

Minimum	26.91791
Maximum	28.798507
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	26.91791
5-th percentile	28.049751
Q1	28.124378
median	28.283582
Q3	28.482587
95-th percentile	28.664179
Maximum	28.798507
Range	1.880597
Interquartile range (IQR)	0.35820895

Descriptive statistics

Standard deviation	0.26052737
Coefficient of variation (CV)	0.0092063748
Kurtosis	7.5389028
Mean	28.298583
Median Absolute Deviation (MAD)	0.15920398
Skewness	-1.3234742
Sum	12055.197
Variance	0.067874508
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
28.21641791	36	8.5%
28.40547264	36	8.5%
28.12437811	31	7.3%
28.04975124	28	6.6%
28.2960199	28	6.6%
28.28358209	26	6.1%
28.07960199	23	5.4%
28.28606965	22	5.2%
28.10696517	22	5.2%
28.65671642	20	4.7%
Other values (18)	154	36.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
26.91791045	5	1.2%
27.91791045	2	0.5%
27.97014925	7	1.6%
28.04975124	28	6.6%
28.07960199	23	5.4%
28.10696517	22	5.2%
28.12437811	31	7.3%
28.14179104	16	3.8%
28.16666667	3	0.7%
28.21641791	36	8.5%

Value	Count	Frequency (%)
28.79850746	12	2.8%
28.77363184	4	0.9%
28.6641791	19	4.5%
28.65671642	20	4.7%
28.60696517	6	1.4%
28.58706468	1	0.2%
28.58457711	8	1.9%
28.56218905	4	0.9%
28.55970149	17	4.0%
28.48258706	20	4.7%

폭염시간합계(5-9월)
Real number (ℝ)

Distinct	20
Distinct (%)	4.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	81.802817

Minimum	14
Maximum	152
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	14
5-th percentile	21
Q1	62
median	83
Q3	107
95-th percentile	152
Maximum	152
Range	138
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	34.286112
Coefficient of variation (CV)	0.41913119
Kurtosis	-0.38253414
Mean	81.802817
Median Absolute Deviation (MAD)	21
Skewness	-0.12654512
Sum	34848
Variance	1175.5375
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
97	48	11.3%
69	40	9.4%
62	40	9.4%
98	36	8.5%
115	35	8.2%
41	28	6.6%
152	26	6.1%
83	26	6.1%
64	23	5.4%
21	22	5.2%
Other values (10)	102	23.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14	17	4.0%
18	1	0.2%
21	22	5.2%
36	7	1.6%
40	6	1.4%
41	28	6.6%
62	40	9.4%
64	23	5.4%
69	40	9.4%
71	6	1.4%

Value	Count	Frequency (%)
152	26	6.1%
115	35	8.2%
112	16	3.8%
110	18	4.2%
109	7	1.6%
107	19	4.5%
98	36	8.5%
97	48	11.3%
93	5	1.2%
83	26	6.1%

무더위쉼터수용가능인원
Real number (ℝ)

HIGH CORRELATION

Distinct	305
Distinct (%)	71.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	376.33333

Minimum	0
Maximum	2332
Zeros	3
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	0
5-th percentile	68
Q1	175
median	299.5
Q3	478.25
95-th percentile	954.75
Maximum	2332
Range	2332
Interquartile range (IQR)	303.25

Descriptive statistics

Standard deviation	311.20893
Coefficient of variation (CV)	0.82695022
Kurtosis	9.2708291
Mean	376.33333
Median Absolute Deviation (MAD)	139
Skewness	2.4535812
Sum	160318
Variance	96850.999
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	6	1.4%
140	6	1.4%
231	4	0.9%
206	4	0.9%
336	4	0.9%
220	4	0.9%
175	4	0.9%
150	4	0.9%
143	3	0.7%
204	3	0.7%
Other values (295)	384	90.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	0.7%
12	1	0.2%
30	1	0.2%
31	1	0.2%
40	3	0.7%
41	1	0.2%
50	2	0.5%
55	3	0.7%
60	1	0.2%
61	1	0.2%

Value	Count	Frequency (%)
2332	1	0.2%
2210	1	0.2%
2073	1	0.2%
1641	1	0.2%
1633	1	0.2%
1467	1	0.2%
1438	1	0.2%
1313	1	0.2%
1209	1	0.2%
1206	1	0.2%

버스정류소개수
Real number (ℝ)

HIGH CORRELATION

Distinct	69
Distinct (%)	16.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.20892

Minimum	1
Maximum	111
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	1
5-th percentile	8
Q1	15
median	23
Q3	33
95-th percentile	56.75
Maximum	111
Range	110
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	15.048346
Coefficient of variation (CV)	0.57416887
Kurtosis	2.8417415
Mean	26.20892
Median Absolute Deviation (MAD)	9
Skewness	1.3183475
Sum	11165
Variance	226.45272
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	21	4.9%
22	18	4.2%
15	17	4.0%
21	15	3.5%
23	15	3.5%
28	14	3.3%
16	14	3.3%
12	13	3.1%
26	13	3.1%
24	12	2.8%
Other values (59)	274	64.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.2%
4	3	0.7%
5	1	0.2%
6	10	2.3%
7	4	0.9%
8	10	2.3%
9	9	2.1%
10	11	2.6%
11	9	2.1%
12	13	3.1%

Value	Count	Frequency (%)
111	1	0.2%
81	1	0.2%
78	1	0.2%
72	1	0.2%
71	1	0.2%
70	1	0.2%
67	1	0.2%
66	3	0.7%
65	1	0.2%
64	1	0.2%

지하철역개수
Real number (ℝ)

ZEROS

Distinct	8
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8685446

Minimum	0
Maximum	7
Zeros	211
Zeros (%)	49.5%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	3
Maximum	7
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.1505891
Coefficient of variation (CV)	1.3247323
Kurtosis	3.7554446
Mean	0.8685446
Median Absolute Deviation (MAD)	1
Skewness	1.7395736
Sum	370
Variance	1.3238553
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	211	49.5%
1	124	29.1%
2	51	12.0%
3	26	6.1%
4	7	1.6%
5	5	1.2%
6	1	0.2%
7	1	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	211	49.5%
1	124	29.1%
2	51	12.0%
3	26	6.1%
4	7	1.6%
5	5	1.2%
6	1	0.2%
7	1	0.2%

Value	Count	Frequency (%)
7	1	0.2%
6	1	0.2%
5	5	1.2%
4	7	1.6%
3	26	6.1%
2	51	12.0%
1	124	29.1%
0	211	49.5%

노령연금수급자수
Real number (ℝ)

HIGH CORRELATION

Distinct	402
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2156.3357

Minimum	6
Maximum	5808
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	6
5-th percentile	697
Q1	1266.75
median	1941.5
Q3	2919.25
95-th percentile	4286.75
Maximum	5808
Range	5802
Interquartile range (IQR)	1652.5

Descriptive statistics

Standard deviation	1147.0533
Coefficient of variation (CV)	0.53194559
Kurtosis	-0.071215078
Mean	2156.3357
Median Absolute Deviation (MAD)	829
Skewness	0.6755436
Sum	918599
Variance	1315731.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2905	2	0.5%
858	2	0.5%
2046	2	0.5%
1941	2	0.5%
1193	2	0.5%
1999	2	0.5%
3066	2	0.5%
2924	2	0.5%
778	2	0.5%
927	2	0.5%
Other values (392)	406	95.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	0.2%
10	1	0.2%
151	1	0.2%
266	1	0.2%
305	1	0.2%
430	2	0.5%
439	1	0.2%
502	1	0.2%
514	1	0.2%
531	1	0.2%

Value	Count	Frequency (%)
5808	1	0.2%
5744	1	0.2%
5475	1	0.2%
5366	1	0.2%
5303	1	0.2%
5059	1	0.2%
4999	1	0.2%
4985	1	0.2%
4856	1	0.2%
4738	1	0.2%

인구
Real number (ℝ)

HIGH CORRELATION

Distinct	420
Distinct (%)	98.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22284.678

Minimum	131
Maximum	55352
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.9 KiB

Quantile statistics

Minimum	131
5-th percentile	7908
Q1	16410.5
median	21601
Q3	27375.75
95-th percentile	38118
Maximum	55352
Range	55221
Interquartile range (IQR)	10965.25

Descriptive statistics

Standard deviation	9049.5775
Coefficient of variation (CV)	0.40608966
Kurtosis	0.48044927
Mean	22284.678
Median Absolute Deviation (MAD)	5256
Skewness	0.40088631
Sum	9493273
Variance	81894854
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29568	2	0.5%
28844	2	0.5%
21213	2	0.5%
22436	2	0.5%
26145	2	0.5%
23241	2	0.5%
26027	1	0.2%
38259	1	0.2%
38124	1	0.2%
15118	1	0.2%
Other values (410)	410	96.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
131	1	0.2%
372	1	0.2%
1739	1	0.2%
2230	1	0.2%
2380	1	0.2%
2897	1	0.2%
4008	1	0.2%
4047	1	0.2%
4664	1	0.2%
4722	1	0.2%

Value	Count	Frequency (%)
55352	1	0.2%
51915	1	0.2%
50346	1	0.2%
45837	1	0.2%
45299	1	0.2%
44982	1	0.2%
44356	1	0.2%
44022	1	0.2%
43195	1	0.2%
42763	1	0.2%

무더위쉼터적정여부
Categorical

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

0	344
1	82

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	344	80.8%
1	82	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	344	80.8%
1	82	19.2%

Heatmap
Table

	시군구명	행정동코드	자외선지수(평균)	노인체감온도(평균)	폭염시간합계(5-9월)	무더위쉼터수용가능인원	버스정류소개수	지하철역개수	노령연금수급자수	인구	무더위쉼터적정여부
시군구명	1.000	1.000	0.592	0.565	0.665	0.246	0.000	0.129	0.016	0.000	0.000
행정동코드	1.000	1.000	0.493	0.299	0.404	0.045	0.094	0.100	0.191	0.220	0.000
자외선지수(평균)	0.592	0.493	1.000	0.531	0.636	0.319	0.000	0.000	0.407	0.132	0.128
노인체감온도(평균)	0.565	0.299	0.531	1.000	0.660	0.000	0.141	0.000	0.311	0.153	0.143
폭염시간합계(5-9월)	0.665	0.404	0.636	0.660	1.000	0.281	0.128	0.000	0.423	0.313	0.200
무더위쉼터수용가능인원	0.246	0.045	0.319	0.000	0.281	1.000	0.305	0.264	0.563	0.389	0.488
버스정류소개수	0.000	0.094	0.000	0.141	0.128	0.305	1.000	0.653	0.335	0.423	0.025
지하철역개수	0.129	0.100	0.000	0.000	0.000	0.264	0.653	1.000	0.000	0.109	0.000
노령연금수급자수	0.016	0.191	0.407	0.311	0.423	0.563	0.335	0.000	1.000	0.801	0.132
인구	0.000	0.220	0.132	0.153	0.313	0.389	0.423	0.109	0.801	1.000	0.143
무더위쉼터적정여부	0.000	0.000	0.128	0.143	0.200	0.488	0.025	0.000	0.132	0.143	1.000

Heatmap
Table

	시군구명	무더위쉼터적정여부
시군구명	1.000	0.000
무더위쉼터적정여부	0.000	1.000

Heatmap
Table

	행정동코드	자외선지수(평균)	노인체감온도(평균)	폭염시간합계(5-9월)	무더위쉼터수용가능인원	버스정류소개수	지하철역개수	노령연금수급자수	인구	시군구명	무더위쉼터적정여부
행정동코드	1.000	0.077	0.168	0.158	0.041	0.067	0.111	-0.069	0.079	0.982	0.000
자외선지수(평균)	0.077	1.000	0.139	0.135	-0.151	0.094	0.023	-0.220	-0.112	0.246	0.100
노인체감온도(평균)	0.168	0.139	1.000	0.300	-0.080	0.052	0.087	-0.099	0.209	0.287	0.103
폭염시간합계(5-9월)	0.158	0.135	0.300	1.000	-0.141	-0.195	0.028	-0.188	0.032	0.334	0.148
무더위쉼터수용가능인원	0.041	-0.151	-0.080	-0.141	1.000	0.302	0.064	0.545	0.333	0.087	0.372
버스정류소개수	0.067	0.094	0.052	-0.195	0.302	1.000	0.182	0.400	0.509	0.000	0.000
지하철역개수	0.111	0.023	0.087	0.028	0.064	0.182	1.000	-0.086	0.113	0.049	0.000
노령연금수급자수	-0.069	-0.220	-0.099	-0.188	0.545	0.400	-0.086	1.000	0.660	0.000	0.100
인구	0.079	-0.112	0.209	0.032	0.333	0.509	0.113	0.660	1.000	0.000	0.107
시군구명	0.982	0.246	0.287	0.334	0.087	0.000	0.049	0.000	0.000	1.000	0.000
무더위쉼터적정여부	0.000	0.100	0.103	0.148	0.372	0.000	0.000	0.100	0.107	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	시도명	시군구명	읍면동명	행정동코드	자외선지수(평균)	노인체감온도(평균)	폭염시간합계(5-9월)	무더위쉼터수용가능인원	버스정류소개수	지하철역개수	노령연금수급자수	인구	무더위쉼터적정여부
0	서울특별시	강남구	개포1동	1168066000	6.619403	28.656716	152	607	16	3	1403	27433	1
1	서울특별시	강남구	개포2동	1168067000	6.552239	28.656716	152	365	21	1	1656	31630	0
2	서울특별시	강남구	개포3동	1168067500	6.619403	28.656716	152	403	24	0	1468	25913	0
3	서울특별시	강남구	개포4동	1168069000	6.701493	28.405473	110	431	9	0	1205	9029	0
4	서울특별시	강남구	논현1동	1168052100	6.708955	28.405473	110	295	111	3	1815	24162	0
5	서울특별시	강남구	논현2동	1168053100	6.679104	28.773632	112	1054	53	4	2071	34199	1
6	서울특별시	강남구	대치1동	1168060000	6.701493	28.562189	112	774	14	1	2767	13985	0
7	서울특별시	강남구	대치2동	1168061000	6.701493	28.562189	112	395	13	1	2430	14784	0
8	서울특별시	강남구	대치4동	1168063000	6.634328	28.049751	69	220	21	0	430	4008	1
9	서울특별시	강남구	도곡1동	1168065500	6.589552	28.308458	36	186	44	2	2362	21091	0

	시도명	시군구명	읍면동명	행정동코드	자외선지수(평균)	노인체감온도(평균)	폭염시간합계(5-9월)	무더위쉼터수용가능인원	버스정류소개수	지하철역개수	노령연금수급자수	인구	무더위쉼터적정여부
416	서울특별시	중랑구	면목제5동	1126055000	6.649254	28.283582	83	178	27	1	2867	34107	0
417	서울특별시	중랑구	면목제7동	1126057000	6.761194	28.405473	62	143	17	2	1207	23787	0
418	서울특별시	중랑구	묵제1동	1126062000	6.597015	28.124378	97	135	6	0	1193	12643	0
419	서울특별시	중랑구	묵제2동	1126063000	6.589552	28.124378	97	115	9	0	936	10596	0
420	서울특별시	중랑구	상봉제1동	1126058000	6.723881	28.106965	62	250	33	5	732	4722	0
421	서울특별시	중랑구	상봉제2동	1126059000	6.708955	28.106965	62	194	13	2	674	10731	1
422	서울특별시	중랑구	신내1동	1126068000	6.708955	28.106965	62	285	16	0	1269	16602	0
423	서울특별시	중랑구	신내2동	1126069000	6.589552	28.124378	97	358	15	3	1306	14034	0
424	서울특별시	중랑구	중화제1동	1126060000	6.589552	28.124378	97	385	17	0	2479	24037	0
425	서울특별시	중랑구	중화제2동	1126061000	6.723881	28.664179	115	1031	49	1	2583	31027	1

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Other Punctuation

Connector Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample