Overview

Dataset statistics

Number of variables5
Number of observations90
Missing cells153
Missing cells (%)34.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory43.5 B

Variable types

Categorical3
Numeric2

Dataset

Description인천광역시 아파트 건립 현황(군구별,규모별,층수별)에 대한 정보입니다.<br/> * 군구별 규모 및 층수별 규모 및 층수별(상세) 동수 (동) 주택수 (호)<br/>
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15055216&srcSe=7661IVAWM27C61E190

Alerts

규모 및 층수별(상세) is highly overall correlated with 규모 및 층수별High correlation
규모 및 층수별 is highly overall correlated with 동수 (동) and 2 other fieldsHigh correlation
동수 (동) is highly overall correlated with 규모 및 층수별High correlation
주택수 (호) is highly overall correlated with 규모 및 층수별High correlation
동수 (동) has 79 (87.8%) missing valuesMissing
주택수 (호) has 74 (82.2%) missing valuesMissing

Reproduction

Analysis started2024-03-18 04:26:27.623459
Analysis finished2024-03-18 04:26:29.669184
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

군구별
Categorical

Distinct10
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size852.0 B
중구
9 
동구
9 
미추홀구
9 
연수구
9 
남동구
9 
Other values (5)
45 

Length

Max length4
Median length3
Mean length2.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 9
10.0%
동구 9
10.0%
미추홀구 9
10.0%
연수구 9
10.0%
남동구 9
10.0%
부평구 9
10.0%
계양구 9
10.0%
서구 9
10.0%
강화군 9
10.0%
옹진군 9
10.0%

Length

2024-03-18T13:26:29.742410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:26:29.868012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 9
10.0%
동구 9
10.0%
미추홀구 9
10.0%
연수구 9
10.0%
남동구 9
10.0%
부평구 9
10.0%
계양구 9
10.0%
서구 9
10.0%
강화군 9
10.0%
옹진군 9
10.0%

규모 및 층수별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size852.0 B
규모별
50 
층수별
40 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
규모별 50
55.6%
층수별 40
44.4%

Length

2024-03-18T13:26:29.992410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:26:30.070757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
규모별 50
55.6%
층수별 40
44.4%

규모 및 층수별(상세)
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size852.0 B
40㎡ 이하
10 
40~60㎡ 이하
10 
60~85㎡ 이하
10 
85~135㎡ 이하
10 
135㎡ 초과
10 
Other values (4)
40 

Length

Max length10
Median length9
Mean length7.5555556
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40㎡ 이하
2nd row40~60㎡ 이하
3rd row60~85㎡ 이하
4th row85~135㎡ 이하
5th row135㎡ 초과

Common Values

ValueCountFrequency (%)
40㎡ 이하 10
11.1%
40~60㎡ 이하 10
11.1%
60~85㎡ 이하 10
11.1%
85~135㎡ 이하 10
11.1%
135㎡ 초과 10
11.1%
5층 이하 10
11.1%
6~10층이하 10
11.1%
11~20층 이하 10
11.1%
21층 이상 10
11.1%

Length

2024-03-18T13:26:30.159096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:26:30.266015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이하 60
35.3%
40㎡ 10
 
5.9%
40~60㎡ 10
 
5.9%
60~85㎡ 10
 
5.9%
85~135㎡ 10
 
5.9%
135㎡ 10
 
5.9%
초과 10
 
5.9%
5층 10
 
5.9%
6~10층이하 10
 
5.9%
11~20층 10
 
5.9%
Other values (2) 20
 
11.8%

동수 (동)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)90.9%
Missing79
Missing (%)87.8%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-03-18T13:26:30.377727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q324
95-th percentile56.5
Maximum85
Range84
Interquartile range (IQR)19

Descriptive statistics

Standard deviation23.836946
Coefficient of variation (CV)1.2545761
Kurtosis6.7696968
Mean19
Median Absolute Deviation (MAD)7
Skewness2.4473045
Sum209
Variance568.2
MonotonicityNot monotonic
2024-03-18T13:26:30.460008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 2
 
2.2%
27 1
 
1.1%
10 1
 
1.1%
1 1
 
1.1%
21 1
 
1.1%
7 1
 
1.1%
9 1
 
1.1%
28 1
 
1.1%
15 1
 
1.1%
85 1
 
1.1%
(Missing) 79
87.8%
ValueCountFrequency (%)
1 1
1.1%
3 2
2.2%
7 1
1.1%
9 1
1.1%
10 1
1.1%
15 1
1.1%
21 1
1.1%
27 1
1.1%
28 1
1.1%
85 1
1.1%
ValueCountFrequency (%)
85 1
1.1%
28 1
1.1%
27 1
1.1%
21 1
1.1%
15 1
1.1%
10 1
1.1%
9 1
1.1%
7 1
1.1%
3 2
2.2%
1 1
1.1%

주택수 (호)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)93.8%
Missing74
Missing (%)82.2%
Infinite0
Infinite (%)0.0%
Mean1571.9375
Minimum66
Maximum8082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size942.0 B
2024-03-18T13:26:30.554065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile73.5
Q1120
median724
Q31632.75
95-th percentile6105
Maximum8082
Range8016
Interquartile range (IQR)1512.75

Descriptive statistics

Standard deviation2264.3151
Coefficient of variation (CV)1.4404613
Kurtosis4.1152388
Mean1571.9375
Median Absolute Deviation (MAD)610
Skewness2.0942412
Sum25151
Variance5127122.9
MonotonicityNot monotonic
2024-03-18T13:26:30.654971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
120 2
 
2.2%
3458 1
 
1.1%
66 1
 
1.1%
1220 1
 
1.1%
976 1
 
1.1%
1710 1
 
1.1%
76 1
 
1.1%
1013 1
 
1.1%
463 1
 
1.1%
108 1
 
1.1%
Other values (5) 5
 
5.6%
(Missing) 74
82.2%
ValueCountFrequency (%)
66 1
1.1%
76 1
1.1%
108 1
1.1%
120 2
2.2%
214 1
1.1%
463 1
1.1%
472 1
1.1%
976 1
1.1%
1013 1
1.1%
1220 1
1.1%
ValueCountFrequency (%)
8082 1
1.1%
5446 1
1.1%
3458 1
1.1%
1710 1
1.1%
1607 1
1.1%
1220 1
1.1%
1013 1
1.1%
976 1
1.1%
472 1
1.1%
463 1
1.1%

Interactions

2024-03-18T13:26:29.063882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:26:28.895294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:26:29.283526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:26:28.988032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:26:30.733150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군구별규모 및 층수별규모 및 층수별(상세)동수 (동)주택수 (호)
군구별1.0000.0000.0000.0000.312
규모 및 층수별0.0001.0001.000NaNNaN
규모 및 층수별(상세)0.0001.0001.0000.0000.307
동수 (동)0.000NaN0.0001.000NaN
주택수 (호)0.312NaN0.307NaN1.000
2024-03-18T13:26:30.817977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규모 및 층수별(상세)규모 및 층수별군구별
규모 및 층수별(상세)1.0000.9590.000
규모 및 층수별0.9591.0000.000
군구별0.0000.0001.000
2024-03-18T13:26:30.893034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동수 (동)주택수 (호)군구별규모 및 층수별규모 및 층수별(상세)
동수 (동)1.000NaN0.0001.0000.000
주택수 (호)NaN1.0000.0001.0000.119
군구별0.0000.0001.0000.0000.000
규모 및 층수별1.0001.0000.0001.0000.959
규모 및 층수별(상세)0.0000.1190.0000.9591.000

Missing values

2024-03-18T13:26:29.425449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:26:29.532974image/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.
2024-03-18T13:26:29.622559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

군구별규모 및 층수별규모 및 층수별(상세)동수 (동)주택수 (호)
0중구규모별40㎡ 이하<NA><NA>
1중구규모별40~60㎡ 이하<NA><NA>
2중구규모별60~85㎡ 이하<NA>3458
3중구규모별85~135㎡ 이하<NA><NA>
4중구규모별135㎡ 초과<NA><NA>
5중구층수별5층 이하<NA><NA>
6중구층수별6~10층이하<NA><NA>
7중구층수별11~20층 이하27<NA>
8중구층수별21층 이상10<NA>
9동구규모별40㎡ 이하<NA><NA>
군구별규모 및 층수별규모 및 층수별(상세)동수 (동)주택수 (호)
80강화군층수별21층 이상<NA><NA>
81옹진군규모별40㎡ 이하<NA><NA>
82옹진군규모별40~60㎡ 이하<NA><NA>
83옹진군규모별60~85㎡ 이하<NA><NA>
84옹진군규모별85~135㎡ 이하<NA><NA>
85옹진군규모별135㎡ 초과<NA><NA>
86옹진군층수별5층 이하<NA><NA>
87옹진군층수별6~10층이하<NA><NA>
88옹진군층수별11~20층 이하<NA><NA>
89옹진군층수별21층 이상<NA><NA>