Overview

Dataset statistics

Number of variables29
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory263.5 B

Variable types

Categorical2
Text2
Numeric25

Dataset

Description인천광역시 부평구 개인서비스 요금(외식비)입니다. (구분,품목명,규격 및 단위,전월평균,금월평균,차액,"전월대비상승율",부평1동,부평2동,부평3동,부평4동,부평5동,부평6동,산곡1동,산곡2동,산곡3동,산곡4동,청천1동,청천2동,갈산1동,갈산2동,삼산1동,삼산2동,부개1동,부개2동,부개3동,일신동,십정1동,십정2동) ex) 외식비(24종),설렁탕,1인분(보통),7155,7500,345,0.046,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7500,0
URLhttps://www.data.go.kr/data/15083928/fileData.do

Alerts

구분 has constant value ""Constant
전월대비상승율 has constant value ""Constant
품목명 has unique valuesUnique
전월평균 has unique valuesUnique
금월평균 has unique valuesUnique
차액 has 10 (41.7%) zerosZeros
부평3동 has 1 (4.2%) zerosZeros
산곡1동 has 7 (29.2%) zerosZeros
산곡3동 has 1 (4.2%) zerosZeros
산곡4동 has 1 (4.2%) zerosZeros
갈산1동 has 3 (12.5%) zerosZeros
부개2동 has 3 (12.5%) zerosZeros
부개3동 has 2 (8.3%) zerosZeros
일신동 has 3 (12.5%) zerosZeros
십정1동 has 2 (8.3%) zerosZeros
십정2동 has 3 (12.5%) zerosZeros

Reproduction

Analysis started2023-12-12 22:49:23.001526
Analysis finished2023-12-12 22:49:23.324620
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
외식비(24종)
24 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row외식비(24종)
2nd row외식비(24종)
3rd row외식비(24종)
4th row외식비(24종)
5th row외식비(24종)

Common Values

ValueCountFrequency (%)
외식비(24종) 24
100.0%

Length

2023-12-13T07:49:23.381516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:49:23.459383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외식비(24종 24
100.0%

품목명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T07:49:23.611400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.0833333
Min length2

Characters and Unicode

Total characters98
Distinct characters52
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row설렁탕
2nd row냉면
3rd row비빌밥
4th row갈비탕
5th row삼계탕
ValueCountFrequency (%)
설렁탕 1
 
4.2%
냉면 1
 
4.2%
김밥 1
 
4.2%
라면(외식 1
 
4.2%
칼국수 1
 
4.2%
피자 1
 
4.2%
햄버거 1
 
4.2%
튀김닭 1
 
4.2%
생선초밥 1
 
4.2%
돈가스 1
 
4.2%
Other values (14) 14
58.3%
2023-12-13T07:49:23.920551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 6
 
6.1%
식 6
 
6.1%
외 6
 
6.1%
( 6
 
6.1%
탕 4
 
4.1%
면 3
 
3.1%
비 3
 
3.1%
밥 3
 
3.1%
개 3
 
3.1%
장 3
 
3.1%
Other values (42) 55
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86
87.8%
Close Punctuation 6
 
6.1%
Open Punctuation 6
 
6.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 6
 
7.0%
외 6
 
7.0%
탕 4
 
4.7%
면 3
 
3.5%
비 3
 
3.5%
밥 3
 
3.5%
개 3
 
3.5%
장 3
 
3.5%
김 3
 
3.5%
찌 2
 
2.3%
Other values (40) 50
58.1%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86
87.8%
Common 12
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 6
 
7.0%
외 6
 
7.0%
탕 4
 
4.7%
면 3
 
3.5%
비 3
 
3.5%
밥 3
 
3.5%
개 3
 
3.5%
장 3
 
3.5%
김 3
 
3.5%
찌 2
 
2.3%
Other values (40) 50
58.1%
Common
ValueCountFrequency (%)
) 6
50.0%
( 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86
87.8%
ASCII 12
 
12.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 6
50.0%
( 6
50.0%
Hangul
ValueCountFrequency (%)
식 6
 
7.0%
외 6
 
7.0%
탕 4
 
4.7%
면 3
 
3.5%
비 3
 
3.5%
밥 3
 
3.5%
개 3
 
3.5%
장 3
 
3.5%
김 3
 
3.5%
찌 2
 
2.3%
Other values (40) 50
58.1%

규격 및 단위
Text

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T07:49:24.120787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.625
Min length3

Characters and Unicode

Total characters207
Distinct characters57
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)58.3%

Sample

1st row1인분(보통)
2nd row물냉면, 1인분(보통)
3rd row1인분(보통)
4th row1인분(보통)
5th row1인분(보통)
ValueCountFrequency (%)
1인분(보통 12
30.8%
200g 4
 
10.3%
홀 3
 
7.7%
1인분 3
 
7.7%
쇠고기 1
 
2.6%
1마리 1
 
2.6%
일반원두커피 1
 
2.6%
일반김밥 1
 
2.6%
보통라면 1
 
2.6%
일반 1
 
2.6%
Other values (11) 11
28.2%
2023-12-13T07:49:24.387910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 17
 
8.2%
분 15
 
7.2%
15
 
7.2%
인 15
 
7.2%
( 14
 
6.8%
) 14
 
6.8%
보 13
 
6.3%
통 13
 
6.3%
0 8
 
3.9%
, 8
 
3.9%
Other values (47) 75
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
59.4%
Decimal Number 29
 
14.0%
Space Separator 15
 
7.2%
Open Punctuation 14
 
6.8%
Close Punctuation 14
 
6.8%
Other Punctuation 8
 
3.9%
Lowercase Letter 4
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
분 15
 
12.2%
인 15
 
12.2%
보 13
 
10.6%
통 13
 
10.6%
반 5
 
4.1%
일 5
 
4.1%
기 4
 
3.3%
라 3
 
2.4%
지 3
 
2.4%
홀 3
 
2.4%
Other values (39) 44
35.8%
Decimal Number
ValueCountFrequency (%)
1 17
58.6%
0 8
27.6%
2 4
 
13.8%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123
59.4%
Common 80
38.6%
Latin 4
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
분 15
 
12.2%
인 15
 
12.2%
보 13
 
10.6%
통 13
 
10.6%
반 5
 
4.1%
일 5
 
4.1%
기 4
 
3.3%
라 3
 
2.4%
지 3
 
2.4%
홀 3
 
2.4%
Other values (39) 44
35.8%
Common
ValueCountFrequency (%)
1 17
21.2%
15
18.8%
( 14
17.5%
) 14
17.5%
0 8
10.0%
, 8
10.0%
2 4
 
5.0%
Latin
ValueCountFrequency (%)
g 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
59.4%
ASCII 84
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 17
20.2%
15
17.9%
( 14
16.7%
) 14
16.7%
0 8
9.5%
, 8
9.5%
2 4
 
4.8%
g 4
 
4.8%
Hangul
ValueCountFrequency (%)
분 15
 
12.2%
인 15
 
12.2%
보 13
 
10.6%
통 13
 
10.6%
반 5
 
4.1%
일 5
 
4.1%
기 4
 
3.3%
라 3
 
2.4%
지 3
 
2.4%
홀 3
 
2.4%
Other values (39) 44
35.8%

전월평균
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10406.958
Minimum2748
Maximum29827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:24.501069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2748
5-th percentile3038.1
Q16621.75
median8030.5
Q314294.25
95-th percentile20317.55
Maximum29827
Range27079
Interquartile range (IQR)7672.5

Descriptive statistics

Standard deviation6327.858
Coefficient of variation (CV)0.60804107
Kurtosis2.5211975
Mean10406.958
Median Absolute Deviation (MAD)3936
Skewness1.3669989
Sum249767
Variance40041787
MonotonicityNot monotonic
2023-12-13T07:49:24.610695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8938 1
 
4.2%
6950 1
 
4.2%
2916 1
 
4.2%
2748 1
 
4.2%
3730 1
 
4.2%
6477 1
 
4.2%
15708 1
 
4.2%
4492 1
 
4.2%
14971 1
 
4.2%
14287 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
2748 1
4.2%
2916 1
4.2%
3730 1
4.2%
4492 1
4.2%
5764 1
4.2%
6477 1
4.2%
6670 1
4.2%
6770 1
4.2%
6950 1
4.2%
7000 1
4.2%
ValueCountFrequency (%)
29827 1
4.2%
21131 1
4.2%
15708 1
4.2%
14971 1
4.2%
14920 1
4.2%
14316 1
4.2%
14287 1
4.2%
13872 1
4.2%
13485 1
4.2%
11602 1
4.2%

금월평균
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10416.708
Minimum2748
Maximum29827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:24.721911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2748
5-th percentile3015.15
Q16665
median8076
Q314157.25
95-th percentile20332.55
Maximum29827
Range27079
Interquartile range (IQR)7492.25

Descriptive statistics

Standard deviation6325.0857
Coefficient of variation (CV)0.6072058
Kurtosis2.5221868
Mean10416.708
Median Absolute Deviation (MAD)3993
Skewness1.3655724
Sum250001
Variance40006709
MonotonicityNot monotonic
2023-12-13T07:49:24.841611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8850 1
 
4.2%
6950 1
 
4.2%
2889 1
 
4.2%
2748 1
 
4.2%
3730 1
 
4.2%
6545 1
 
4.2%
15808 1
 
4.2%
4521 1
 
4.2%
14971 1
 
4.2%
14087 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
2748 1
4.2%
2889 1
4.2%
3730 1
4.2%
4521 1
4.2%
5800 1
4.2%
6545 1
4.2%
6705 1
4.2%
6736 1
4.2%
6950 1
4.2%
7034 1
4.2%
ValueCountFrequency (%)
29827 1
4.2%
21131 1
4.2%
15808 1
4.2%
14971 1
4.2%
14920 1
4.2%
14368 1
4.2%
14087 1
4.2%
13872 1
4.2%
13509 1
4.2%
11716 1
4.2%

차액
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.75
Minimum-200
Maximum114
Zeros10
Zeros (%)41.7%
Negative4
Negative (%)16.7%
Memory size348.0 B
2023-12-13T07:49:24.948657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-200
5-th percentile-79.9
Q10
median0
Q334.5
95-th percentile98.65
Maximum114
Range314
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation62.929395
Coefficient of variation (CV)6.4542969
Kurtosis4.7627703
Mean9.75
Median Absolute Deviation (MAD)28
Skewness-1.4398161
Sum234
Variance3960.1087
MonotonicityNot monotonic
2023-12-13T07:49:25.057759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 10
41.7%
34 2
 
8.3%
-88 1
 
4.2%
-34 1
 
4.2%
114 1
 
4.2%
53 1
 
4.2%
91 1
 
4.2%
24 1
 
4.2%
36 1
 
4.2%
-200 1
 
4.2%
Other values (4) 4
 
16.7%
ValueCountFrequency (%)
-200 1
 
4.2%
-88 1
 
4.2%
-34 1
 
4.2%
-27 1
 
4.2%
0 10
41.7%
24 1
 
4.2%
29 1
 
4.2%
34 2
 
8.3%
36 1
 
4.2%
53 1
 
4.2%
ValueCountFrequency (%)
114 1
 
4.2%
100 1
 
4.2%
91 1
 
4.2%
68 1
 
4.2%
53 1
 
4.2%
36 1
 
4.2%
34 2
 
8.3%
29 1
 
4.2%
24 1
 
4.2%
0 10
41.7%

전월대비상승율
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
100.0%

Length

2023-12-13T07:49:25.188438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:49:25.269822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
100.0%

부평1동
Real number (ℝ)

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12243.75
Minimum3000
Maximum33000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:25.352968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile3037.5
Q16750
median9225
Q316237.5
95-th percentile26745
Maximum33000
Range30000
Interquartile range (IQR)9487.5

Descriptive statistics

Standard deviation7770.4612
Coefficient of variation (CV)0.63464717
Kurtosis1.0203106
Mean12243.75
Median Absolute Deviation (MAD)6100
Skewness1.0172906
Sum293850
Variance60380068
MonotonicityNot monotonic
2023-12-13T07:49:25.457252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3000 2
 
8.3%
6750 2
 
8.3%
18500 2
 
8.3%
8000 2
 
8.3%
9500 1
 
4.2%
18000 1
 
4.2%
3250 1
 
4.2%
8500 1
 
4.2%
28200 1
 
4.2%
3450 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
3000 2
8.3%
3250 1
4.2%
3450 1
4.2%
5800 1
4.2%
6750 2
8.3%
8000 2
8.3%
8250 1
4.2%
8500 1
4.2%
8950 1
4.2%
9500 1
4.2%
ValueCountFrequency (%)
33000 1
4.2%
28200 1
4.2%
18500 2
8.3%
18000 1
4.2%
16950 1
4.2%
16000 1
4.2%
15800 1
4.2%
15700 1
4.2%
15500 1
4.2%
14500 1
4.2%

부평2동
Real number (ℝ)

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10698.75
Minimum2500
Maximum22600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:25.582050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2500
5-th percentile3552.5
Q15925
median9500
Q315237.5
95-th percentile19071
Maximum22600
Range20100
Interquartile range (IQR)9312.5

Descriptive statistics

Standard deviation5673.1238
Coefficient of variation (CV)0.53026043
Kurtosis-0.92800328
Mean10698.75
Median Absolute Deviation (MAD)4500
Skewness0.4117731
Sum256770
Variance32184333
MonotonicityNot monotonic
2023-12-13T07:49:25.699122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10000 2
 
8.3%
9000 2
 
8.3%
6250 1
 
4.2%
3850 1
 
4.2%
2500 1
 
4.2%
3500 1
 
4.2%
6000 1
 
4.2%
15950 1
 
4.2%
5700 1
 
4.2%
16000 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
2500 1
4.2%
3500 1
4.2%
3850 1
4.2%
5000 1
4.2%
5500 1
4.2%
5700 1
4.2%
6000 1
4.2%
6250 1
4.2%
7500 1
4.2%
7750 1
4.2%
ValueCountFrequency (%)
22600 1
4.2%
19260 1
4.2%
18000 1
4.2%
17760 1
4.2%
16000 1
4.2%
15950 1
4.2%
15000 1
4.2%
14950 1
4.2%
14000 1
4.2%
11700 1
4.2%

부평3동
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10460.417
Minimum0
Maximum34500
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:25.827786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3022.5
Q15750
median9000
Q312875
95-th percentile21325
Maximum34500
Range34500
Interquartile range (IQR)7125

Descriptive statistics

Standard deviation7346.96
Coefficient of variation (CV)0.70235826
Kurtosis3.9051706
Mean10460.417
Median Absolute Deviation (MAD)3750
Skewness1.5765453
Sum251050
Variance53977822
MonotonicityNot monotonic
2023-12-13T07:49:25.967262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
12000 2
 
8.3%
12500 2
 
8.3%
6000 2
 
8.3%
9000 2
 
8.3%
14000 1
 
4.2%
3150 1
 
4.2%
3000 1
 
4.2%
3750 1
 
4.2%
12450 1
 
4.2%
4700 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
0 1
4.2%
3000 1
4.2%
3150 1
4.2%
3750 1
4.2%
4700 1
4.2%
5000 1
4.2%
6000 2
8.3%
6500 1
4.2%
7000 1
4.2%
8000 1
4.2%
ValueCountFrequency (%)
34500 1
4.2%
22000 1
4.2%
17500 1
4.2%
16000 1
4.2%
14500 1
4.2%
14000 1
4.2%
12500 2
8.3%
12450 1
4.2%
12000 2
8.3%
9000 2
8.3%

부평4동
Real number (ℝ)

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10114.542
Minimum2500
Maximum25222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:26.087149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2500
5-th percentile3225
Q16250
median8750
Q313237.75
95-th percentile20322.5
Maximum25222
Range22722
Interquartile range (IQR)6987.75

Descriptive statistics

Standard deviation5687.3999
Coefficient of variation (CV)0.56229932
Kurtosis0.8332912
Mean10114.542
Median Absolute Deviation (MAD)3900
Skewness0.99873402
Sum242749
Variance32346517
MonotonicityNot monotonic
2023-12-13T07:49:26.196516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6500 2
 
8.3%
7700 2
 
8.3%
9000 1
 
4.2%
9500 1
 
4.2%
2500 1
 
4.2%
3000 1
 
4.2%
4500 1
 
4.2%
4750 1
 
4.2%
17900 1
 
4.2%
4950 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
2500 1
4.2%
3000 1
4.2%
4500 1
4.2%
4750 1
4.2%
4950 1
4.2%
5500 1
4.2%
6500 2
8.3%
7000 1
4.2%
7700 2
8.3%
8500 1
4.2%
ValueCountFrequency (%)
25222 1
4.2%
20750 1
4.2%
17900 1
4.2%
15000 1
4.2%
14000 1
4.2%
13450 1
4.2%
13167 1
4.2%
13000 1
4.2%
12500 1
4.2%
10160 1
4.2%

부평5동
Real number (ℝ)

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11907.917
Minimum2900
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:26.311280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2900
5-th percentile3680
Q16500
median8225
Q317550
95-th percentile23451.25
Maximum30000
Range27100
Interquartile range (IQR)11050

Descriptive statistics

Standard deviation7573.9337
Coefficient of variation (CV)0.63604188
Kurtosis-0.40944108
Mean11907.917
Median Absolute Deviation (MAD)4125
Skewness0.77762152
Sum285790
Variance57364472
MonotonicityNot monotonic
2023-12-13T07:49:26.422167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
6500 4
16.7%
7000 3
 
12.5%
15500 2
 
8.3%
10000 1
 
4.2%
19900 1
 
4.2%
5100 1
 
4.2%
2900 1
 
4.2%
3500 1
 
4.2%
19365 1
 
4.2%
4700 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
2900 1
 
4.2%
3500 1
 
4.2%
4700 1
 
4.2%
5000 1
 
4.2%
5100 1
 
4.2%
6500 4
16.7%
7000 3
12.5%
9450 1
 
4.2%
10000 1
 
4.2%
15000 1
 
4.2%
ValueCountFrequency (%)
30000 1
4.2%
23500 1
4.2%
23175 1
4.2%
19900 1
4.2%
19365 1
4.2%
19200 1
4.2%
17000 1
4.2%
15500 2
8.3%
15000 1
4.2%
10000 1
4.2%

부평6동
Real number (ℝ)

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10703.958
Minimum2350
Maximum47000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:26.527158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2350
5-th percentile2782.5
Q16000
median8350
Q313625
95-th percentile16964
Maximum47000
Range44650
Interquartile range (IQR)7625

Descriptive statistics

Standard deviation8948.9979
Coefficient of variation (CV)0.83604566
Kurtosis12.032934
Mean10703.958
Median Absolute Deviation (MAD)3975
Skewness3.0576114
Sum256895
Variance80084563
MonotonicityNot monotonic
2023-12-13T07:49:26.633986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
13500 2
 
8.3%
6000 2
 
8.3%
7750 1
 
4.2%
5000 1
 
4.2%
2350 1
 
4.2%
3250 1
 
4.2%
3750 1
 
4.2%
8450 1
 
4.2%
2700 1
 
4.2%
10500 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
2350 1
4.2%
2700 1
4.2%
3250 1
4.2%
3750 1
4.2%
5000 1
4.2%
6000 2
8.3%
7000 1
4.2%
7500 1
4.2%
7750 1
4.2%
8000 1
4.2%
ValueCountFrequency (%)
47000 1
4.2%
17000 1
4.2%
16760 1
4.2%
16250 1
4.2%
14885 1
4.2%
14000 1
4.2%
13500 2
8.3%
10500 1
4.2%
9000 1
4.2%
8500 1
4.2%

산곡1동
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6070.4167
Minimum0
Maximum18660
Zeros7
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:26.733860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5875
Q38250
95-th percentile16667
Maximum18660
Range18660
Interquartile range (IQR)8250

Descriptive statistics

Standard deviation5861.6384
Coefficient of variation (CV)0.96560725
Kurtosis-0.47569595
Mean6070.4167
Median Absolute Deviation (MAD)5250
Skewness0.73834519
Sum145690
Variance34358804
MonotonicityNot monotonic
2023-12-13T07:49:26.880136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7
29.2%
6000 2
 
8.3%
7500 2
 
8.3%
4600 1
 
4.2%
1500 1
 
4.2%
2250 1
 
4.2%
3500 1
 
4.2%
5750 1
 
4.2%
12900 1
 
4.2%
18660 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 7
29.2%
1500 1
 
4.2%
2250 1
 
4.2%
3500 1
 
4.2%
4600 1
 
4.2%
5750 1
 
4.2%
6000 2
 
8.3%
6250 1
 
4.2%
7000 1
 
4.2%
7500 2
 
8.3%
ValueCountFrequency (%)
18660 1
4.2%
17000 1
4.2%
14780 1
4.2%
14000 1
4.2%
12900 1
4.2%
10500 1
4.2%
7500 2
8.3%
7000 1
4.2%
6250 1
4.2%
6000 2
8.3%

산곡2동
Real number (ℝ)

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9658.3333
Minimum2900
Maximum26000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:27.004200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2900
5-th percentile3290
Q16375
median7375
Q313112.5
95-th percentile16850
Maximum26000
Range23100
Interquartile range (IQR)6737.5

Descriptive statistics

Standard deviation5551.3545
Coefficient of variation (CV)0.57477354
Kurtosis1.6840316
Mean9658.3333
Median Absolute Deviation (MAD)3100
Skewness1.2143948
Sum231800
Variance30817536
MonotonicityNot monotonic
2023-12-13T07:49:27.126119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
7000 3
 
12.5%
16000 2
 
8.3%
3800 2
 
8.3%
6000 2
 
8.3%
6500 2
 
8.3%
14950 1
 
4.2%
3200 1
 
4.2%
7250 1
 
4.2%
9900 1
 
4.2%
2900 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
2900 1
 
4.2%
3200 1
 
4.2%
3800 2
8.3%
6000 2
8.3%
6500 2
8.3%
7000 3
12.5%
7250 1
 
4.2%
7500 1
 
4.2%
8000 1
 
4.2%
9900 1
 
4.2%
ValueCountFrequency (%)
26000 1
4.2%
17000 1
4.2%
16000 2
8.3%
15000 1
4.2%
14950 1
4.2%
12500 1
4.2%
12000 1
4.2%
10000 1
4.2%
9900 1
4.2%
8000 1
4.2%

산곡3동
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10072.083
Minimum0
Maximum26666
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:27.555339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2500
Q16000
median6750
Q313525
95-th percentile24807.5
Maximum26666
Range26666
Interquartile range (IQR)7525

Descriptive statistics

Standard deviation7303.5047
Coefficient of variation (CV)0.72512353
Kurtosis0.30406269
Mean10072.083
Median Absolute Deviation (MAD)3750
Skewness1.0420972
Sum241730
Variance53341180
MonotonicityNot monotonic
2023-12-13T07:49:27.668434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
6500 4
16.7%
6000 2
 
8.3%
7000 2
 
8.3%
2500 2
 
8.3%
3500 1
 
4.2%
24950 1
 
4.2%
4700 1
 
4.2%
17500 1
 
4.2%
0 1
 
4.2%
24000 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
0 1
 
4.2%
2500 2
8.3%
3500 1
 
4.2%
4700 1
 
4.2%
6000 2
8.3%
6250 1
 
4.2%
6500 4
16.7%
7000 2
8.3%
9000 1
 
4.2%
12000 1
 
4.2%
ValueCountFrequency (%)
26666 1
4.2%
24950 1
4.2%
24000 1
4.2%
17500 1
4.2%
16000 1
4.2%
14500 1
4.2%
13200 1
4.2%
12464 1
4.2%
12000 1
4.2%
9000 1
4.2%

산곡4동
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10807.917
Minimum0
Maximum44000
Zeros1
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:27.795668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2862.5
Q16750
median7975
Q313125
95-th percentile23855
Maximum44000
Range44000
Interquartile range (IQR)6375

Descriptive statistics

Standard deviation8980.5481
Coefficient of variation (CV)0.83092314
Kurtosis7.7038692
Mean10807.917
Median Absolute Deviation (MAD)4350
Skewness2.4198053
Sum259390
Variance80650243
MonotonicityNot monotonic
2023-12-13T07:49:27.929229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7000 3
 
12.5%
12500 2
 
8.3%
8950 1
 
4.2%
24500 1
 
4.2%
3500 1
 
4.2%
2750 1
 
4.2%
3750 1
 
4.2%
7250 1
 
4.2%
20200 1
 
4.2%
4900 1
 
4.2%
Other values (11) 11
45.8%
ValueCountFrequency (%)
0 1
 
4.2%
2750 1
 
4.2%
3500 1
 
4.2%
3750 1
 
4.2%
4900 1
 
4.2%
6000 1
 
4.2%
7000 3
12.5%
7250 1
 
4.2%
7750 1
 
4.2%
7950 1
 
4.2%
ValueCountFrequency (%)
44000 1
4.2%
24500 1
4.2%
20200 1
4.2%
14450 1
4.2%
14440 1
4.2%
13500 1
4.2%
13000 1
4.2%
12500 2
8.3%
8950 1
4.2%
8500 1
4.2%

청천1동
Real number (ℝ)

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9974.1667
Minimum2750
Maximum24500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:28.075872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2750
5-th percentile3362.5
Q16875
median7625
Q313125
95-th percentile21142
Maximum24500
Range21750
Interquartile range (IQR)6250

Descriptive statistics

Standard deviation5763.4319
Coefficient of variation (CV)0.57783593
Kurtosis0.63053017
Mean9974.1667
Median Absolute Deviation (MAD)1500
Skewness1.1686406
Sum239380
Variance33217147
MonotonicityNot monotonic
2023-12-13T07:49:28.191414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7000 3
 
12.5%
7250 2
 
8.3%
3250 1
 
4.2%
2750 1
 
4.2%
4000 1
 
4.2%
6500 1
 
4.2%
21700 1
 
4.2%
8500 1
 
4.2%
17250 1
 
4.2%
9000 1
 
4.2%
Other values (11) 11
45.8%
ValueCountFrequency (%)
2750 1
 
4.2%
3250 1
 
4.2%
4000 1
 
4.2%
6000 1
 
4.2%
6250 1
 
4.2%
6500 1
 
4.2%
7000 3
12.5%
7250 2
8.3%
7500 1
 
4.2%
7750 1
 
4.2%
ValueCountFrequency (%)
24500 1
4.2%
21700 1
4.2%
17980 1
4.2%
17250 1
4.2%
16500 1
4.2%
13500 1
4.2%
13000 1
4.2%
9950 1
4.2%
9000 1
4.2%
8500 1
4.2%

청천2동
Real number (ℝ)

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10960.417
Minimum2200
Maximum38000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:28.295777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2200
5-th percentile3150
Q15937.5
median8250
Q315625
95-th percentile20275
Maximum38000
Range35800
Interquartile range (IQR)9687.5

Descriptive statistics

Standard deviation7882.603
Coefficient of variation (CV)0.71918826
Kurtosis4.8790648
Mean10960.417
Median Absolute Deviation (MAD)3750
Skewness1.8554697
Sum263050
Variance62135430
MonotonicityNot monotonic
2023-12-13T07:49:28.412317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
6500 3
 
12.5%
6000 2
 
8.3%
15500 2
 
8.3%
20500 1
 
4.2%
2200 1
 
4.2%
3000 1
 
4.2%
4000 1
 
4.2%
16400 1
 
4.2%
4500 1
 
4.2%
9200 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
2200 1
 
4.2%
3000 1
 
4.2%
4000 1
 
4.2%
4500 1
 
4.2%
5500 1
 
4.2%
5750 1
 
4.2%
6000 2
8.3%
6500 3
12.5%
8000 1
 
4.2%
8500 1
 
4.2%
ValueCountFrequency (%)
38000 1
4.2%
20500 1
4.2%
19000 1
4.2%
16500 1
4.2%
16400 1
4.2%
16000 1
4.2%
15500 2
8.3%
12000 1
4.2%
11500 1
4.2%
9200 1
4.2%

갈산1동
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7412.5
Minimum0
Maximum30000
Zeros3
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:28.525446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13875
median6000
Q39100
95-th percentile15000
Maximum30000
Range30000
Interquartile range (IQR)5225

Descriptive statistics

Standard deviation6381.2608
Coefficient of variation (CV)0.86087835
Kurtosis6.0552851
Mean7412.5
Median Absolute Deviation (MAD)2750
Skewness2.0299999
Sum177900
Variance40720489
MonotonicityNot monotonic
2023-12-13T07:49:28.621310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
6000 5
20.8%
7000 3
12.5%
0 3
12.5%
15000 2
 
8.3%
9000 1
 
4.2%
30000 1
 
4.2%
11850 1
 
4.2%
9400 1
 
4.2%
5000 1
 
4.2%
13000 1
 
4.2%
Other values (5) 5
20.8%
ValueCountFrequency (%)
0 3
12.5%
2750 1
 
4.2%
2900 1
 
4.2%
3500 1
 
4.2%
4000 1
 
4.2%
5000 1
 
4.2%
5500 1
 
4.2%
6000 5
20.8%
7000 3
12.5%
9000 1
 
4.2%
ValueCountFrequency (%)
30000 1
 
4.2%
15000 2
 
8.3%
13000 1
 
4.2%
11850 1
 
4.2%
9400 1
 
4.2%
9000 1
 
4.2%
7000 3
12.5%
6000 5
20.8%
5500 1
 
4.2%
5000 1
 
4.2%

갈산2동
Real number (ℝ)

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9604.1667
Minimum2600
Maximum25000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:28.720548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2600
5-th percentile2937.5
Q16750
median7500
Q313587.5
95-th percentile16275
Maximum25000
Range22400
Interquartile range (IQR)6837.5

Descriptive statistics

Standard deviation5257.5188
Coefficient of variation (CV)0.54742061
Kurtosis1.6179495
Mean9604.1667
Median Absolute Deviation (MAD)3000
Skewness1.1068688
Sum230500
Variance27641504
MonotonicityNot monotonic
2023-12-13T07:49:28.828891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
7000 4
16.7%
7500 3
12.5%
15000 2
 
8.3%
9000 2
 
8.3%
5500 1
 
4.2%
10500 1
 
4.2%
25000 1
 
4.2%
14500 1
 
4.2%
14000 1
 
4.2%
6000 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
2600 1
 
4.2%
2750 1
 
4.2%
4000 1
 
4.2%
4500 1
 
4.2%
5500 1
 
4.2%
6000 1
 
4.2%
7000 4
16.7%
7500 3
12.5%
9000 2
8.3%
10500 1
 
4.2%
ValueCountFrequency (%)
25000 1
 
4.2%
16500 1
 
4.2%
15000 2
8.3%
14500 1
 
4.2%
14000 1
 
4.2%
13450 1
 
4.2%
12700 1
 
4.2%
10500 1
 
4.2%
9000 2
8.3%
7500 3
12.5%

삼산1동
Real number (ℝ)

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11110.417
Minimum2350
Maximum44000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:28.935588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2350
5-th percentile3112.5
Q16937.5
median8250
Q314625
95-th percentile20080
Maximum44000
Range41650
Interquartile range (IQR)7687.5

Descriptive statistics

Standard deviation8471.9997
Coefficient of variation (CV)0.76252763
Kurtosis9.6916679
Mean11110.417
Median Absolute Deviation (MAD)2425
Skewness2.7125393
Sum266650
Variance71774778
MonotonicityNot monotonic
2023-12-13T07:49:29.050776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
8000 3
 
12.5%
9000 2
 
8.3%
15000 2
 
8.3%
7500 2
 
8.3%
20500 1
 
4.2%
2350 1
 
4.2%
3000 1
 
4.2%
3750 1
 
4.2%
17700 1
 
4.2%
5650 1
 
4.2%
Other values (9) 9
37.5%
ValueCountFrequency (%)
2350 1
 
4.2%
3000 1
 
4.2%
3750 1
 
4.2%
5650 1
 
4.2%
6000 1
 
4.2%
6750 1
 
4.2%
7000 1
 
4.2%
7500 2
8.3%
8000 3
12.5%
8500 1
 
4.2%
ValueCountFrequency (%)
44000 1
4.2%
20500 1
4.2%
17700 1
4.2%
16950 1
4.2%
15000 2
8.3%
14500 1
4.2%
12500 1
4.2%
10500 1
4.2%
9000 2
8.3%
8500 1
4.2%

삼산2동
Real number (ℝ)

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11259.583
Minimum2350
Maximum27000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:29.159851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2350
5-th percentile3482.5
Q16750
median9125
Q315025
95-th percentile24530.5
Maximum27000
Range24650
Interquartile range (IQR)8275

Descriptive statistics

Standard deviation6660.3848
Coefficient of variation (CV)0.59153031
Kurtosis0.23245772
Mean11259.583
Median Absolute Deviation (MAD)4600
Skewness0.88889903
Sum270230
Variance44360726
MonotonicityNot monotonic
2023-12-13T07:49:29.271691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
7500 2
 
8.3%
6750 2
 
8.3%
9250 1
 
4.2%
27000 1
 
4.2%
2350 1
 
4.2%
3400 1
 
4.2%
4250 1
 
4.2%
13450 1
 
4.2%
3950 1
 
4.2%
18450 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
2350 1
4.2%
3400 1
4.2%
3950 1
4.2%
4250 1
4.2%
6500 1
4.2%
6750 2
8.3%
6950 1
4.2%
7500 2
8.3%
8000 1
4.2%
9000 1
4.2%
ValueCountFrequency (%)
27000 1
4.2%
25330 1
4.2%
20000 1
4.2%
18450 1
4.2%
16000 1
4.2%
15100 1
4.2%
15000 1
4.2%
14750 1
4.2%
13450 1
4.2%
13000 1
4.2%

부개1동
Real number (ℝ)

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9183.3333
Minimum2000
Maximum21000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:29.383654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2475
Q15000
median8000
Q314000
95-th percentile18000
Maximum21000
Range19000
Interquartile range (IQR)9000

Descriptive statistics

Standard deviation5543.909
Coefficient of variation (CV)0.60369246
Kurtosis-0.77870961
Mean9183.3333
Median Absolute Deviation (MAD)3375
Skewness0.65819052
Sum220400
Variance30734928
MonotonicityNot monotonic
2023-12-13T07:49:29.494975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5000 4
16.7%
8000 3
12.5%
18000 2
 
8.3%
14000 2
 
8.3%
4500 1
 
4.2%
2250 1
 
4.2%
2000 1
 
4.2%
3750 1
 
4.2%
4750 1
 
4.2%
12900 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
2000 1
 
4.2%
2250 1
 
4.2%
3750 1
 
4.2%
4500 1
 
4.2%
4750 1
 
4.2%
5000 4
16.7%
5250 1
 
4.2%
6000 1
 
4.2%
8000 3
12.5%
9000 1
 
4.2%
ValueCountFrequency (%)
21000 1
 
4.2%
18000 2
8.3%
16000 1
 
4.2%
15000 1
 
4.2%
14000 2
8.3%
12900 1
 
4.2%
10000 1
 
4.2%
9000 1
 
4.2%
8000 3
12.5%
6000 1
 
4.2%

부개2동
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9195.8333
Minimum0
Maximum37500
Zeros3
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:29.599374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15125
median7125
Q312625
95-th percentile18760
Maximum37500
Range37500
Interquartile range (IQR)7500

Descriptive statistics

Standard deviation8109.1188
Coefficient of variation (CV)0.88182534
Kurtosis5.5263745
Mean9195.8333
Median Absolute Deviation (MAD)4475
Skewness1.9011868
Sum220700
Variance65757808
MonotonicityNot monotonic
2023-12-13T07:49:29.703940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
12.5%
5750 3
 
12.5%
7000 2
 
8.3%
14250 1
 
4.2%
2550 1
 
4.2%
2250 1
 
4.2%
3250 1
 
4.2%
17400 1
 
4.2%
16000 1
 
4.2%
19000 1
 
4.2%
Other values (9) 9
37.5%
ValueCountFrequency (%)
0 3
12.5%
2250 1
 
4.2%
2550 1
 
4.2%
3250 1
 
4.2%
5750 3
12.5%
6500 1
 
4.2%
7000 2
8.3%
7250 1
 
4.2%
7500 1
 
4.2%
8000 1
 
4.2%
ValueCountFrequency (%)
37500 1
4.2%
19000 1
4.2%
17400 1
4.2%
16000 1
4.2%
14250 1
4.2%
13000 1
4.2%
12500 1
4.2%
11500 1
4.2%
11000 1
4.2%
8000 1
4.2%

부개3동
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9357.1667
Minimum0
Maximum26000
Zeros2
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:29.810850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile375
Q16012.5
median8000
Q313125
95-th percentile21450
Maximum26000
Range26000
Interquartile range (IQR)7112.5

Descriptive statistics

Standard deviation6423.49
Coefficient of variation (CV)0.6864781
Kurtosis0.93364712
Mean9357.1667
Median Absolute Deviation (MAD)4825
Skewness0.86980664
Sum224572
Variance41261224
MonotonicityNot monotonic
2023-12-13T07:49:29.918217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8000 3
 
12.5%
0 2
 
8.3%
6500 2
 
8.3%
26000 1
 
4.2%
2650 1
 
4.2%
2500 1
 
4.2%
3250 1
 
4.2%
9000 1
 
4.2%
12900 1
 
4.2%
4550 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
0 2
8.3%
2500 1
 
4.2%
2650 1
 
4.2%
3250 1
 
4.2%
4550 1
 
4.2%
6500 2
8.3%
6750 1
 
4.2%
7000 1
 
4.2%
8000 3
12.5%
8250 1
 
4.2%
ValueCountFrequency (%)
26000 1
4.2%
22500 1
4.2%
15500 1
4.2%
15000 1
4.2%
13722 1
4.2%
13500 1
4.2%
13000 1
4.2%
12900 1
4.2%
11500 1
4.2%
9000 1
4.2%

일신동
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9212.5
Minimum0
Maximum35000
Zeros3
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:30.016088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15187.5
median7375
Q312000
95-th percentile22912.5
Maximum35000
Range35000
Interquartile range (IQR)6812.5

Descriptive statistics

Standard deviation7860.4714
Coefficient of variation (CV)0.85323977
Kurtosis4.2698028
Mean9212.5
Median Absolute Deviation (MAD)4450
Skewness1.7404651
Sum221100
Variance61787011
MonotonicityNot monotonic
2023-12-13T07:49:30.122519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 3
 
12.5%
12000 3
 
12.5%
8000 2
 
8.3%
7000 2
 
8.3%
24000 1
 
4.2%
3100 1
 
4.2%
2250 1
 
4.2%
3500 1
 
4.2%
10000 1
 
4.2%
16750 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
0 3
12.5%
2250 1
 
4.2%
3100 1
 
4.2%
3500 1
 
4.2%
5750 1
 
4.2%
6250 1
 
4.2%
6750 1
 
4.2%
7000 2
8.3%
7250 1
 
4.2%
7500 1
 
4.2%
ValueCountFrequency (%)
35000 1
 
4.2%
24000 1
 
4.2%
16750 1
 
4.2%
14000 1
 
4.2%
13000 1
 
4.2%
12000 3
12.5%
10000 1
 
4.2%
8000 2
8.3%
7500 1
 
4.2%
7250 1
 
4.2%

십정1동
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9314.5833
Minimum0
Maximum44550
Zeros2
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:30.237568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile427.5
Q16187.5
median7500
Q310750
95-th percentile21425
Maximum44550
Range44550
Interquartile range (IQR)4562.5

Descriptive statistics

Standard deviation8816.0363
Coefficient of variation (CV)0.94647672
Kurtosis11.485135
Mean9314.5833
Median Absolute Deviation (MAD)2875
Skewness3.0412627
Sum223550
Variance77722495
MonotonicityNot monotonic
2023-12-13T07:49:30.336509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
7500 3
 
12.5%
8000 2
 
8.3%
10750 2
 
8.3%
6250 2
 
8.3%
0 2
 
8.3%
8500 1
 
4.2%
23000 1
 
4.2%
3000 1
 
4.2%
2850 1
 
4.2%
4000 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
0 2
8.3%
2850 1
 
4.2%
3000 1
 
4.2%
4000 1
 
4.2%
6000 1
 
4.2%
6250 2
8.3%
7000 1
 
4.2%
7250 1
 
4.2%
7500 3
12.5%
8000 2
8.3%
ValueCountFrequency (%)
44550 1
 
4.2%
23000 1
 
4.2%
12500 1
 
4.2%
11450 1
 
4.2%
10950 1
 
4.2%
10750 2
8.3%
10000 1
 
4.2%
8500 1
 
4.2%
8000 2
8.3%
7500 3
12.5%

십정2동
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6372.9167
Minimum0
Maximum15000
Zeros3
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T07:49:30.470496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13887.5
median6500
Q38337.5
95-th percentile12925
Maximum15000
Range15000
Interquartile range (IQR)4450

Descriptive statistics

Standard deviation4120.3361
Coefficient of variation (CV)0.64653851
Kurtosis-0.38502566
Mean6372.9167
Median Absolute Deviation (MAD)2725
Skewness0.30011106
Sum152950
Variance16977169
MonotonicityNot monotonic
2023-12-13T07:49:30.580634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
12.5%
6500 3
 
12.5%
4750 2
 
8.3%
13000 1
 
4.2%
2600 1
 
4.2%
2000 1
 
4.2%
4000 1
 
4.2%
5000 1
 
4.2%
3550 1
 
4.2%
7950 1
 
4.2%
Other values (9) 9
37.5%
ValueCountFrequency (%)
0 3
12.5%
2000 1
 
4.2%
2600 1
 
4.2%
3550 1
 
4.2%
4000 1
 
4.2%
4750 2
8.3%
5000 1
 
4.2%
5500 1
 
4.2%
6500 3
12.5%
6750 1
 
4.2%
ValueCountFrequency (%)
15000 1
4.2%
13000 1
4.2%
12500 1
4.2%
11100 1
4.2%
11000 1
4.2%
9500 1
4.2%
7950 1
4.2%
7500 1
4.2%
7000 1
4.2%
6750 1
4.2%

Sample

구분품목명규격 및 단위전월평균금월평균차액전월대비상승율부평1동부평2동부평3동부평4동부평5동부평6동산곡1동산곡2동산곡3동산곡4동청천1동청천2동갈산1동갈산2동삼산1동삼산2동부개1동부개2동부개3동일신동십정1동십정2동
0외식비(24종)설렁탕1인분(보통)89388850-88095001000012000900010000775008000900089507000115007000700080009250800000085000
1외식비(24종)냉면물냉면, 1인분(보통)71327132008000900070007700650090007000650062507950725055006000900085006750500065008000675062506500
2외식비(24종)비빌밥1인분(보통)67706736-34080001000090007700650075006000650065007000600057506000550067507500500070006750625062504750
3외식비(24종)갈비탕1인분(보통)116021171611401600015000125001300015500162501050012500120001250075001200090009000900015000800011500115001200080009500
4외식비(24종)삼계탕1인분(보통)143161436853014500140001400015000170001350001600016000013000160000150001500016000150001300013000120001250012500
5외식비(24종)육개장1인분(보통)80008091910825075001200085007000825075007500650077508000850070007000800010000900080008250800080007500
6외식비(24종)김치찌개백반1인분(보통)700070343406750775090006500700085006250600065007000700065006000700075009000500075006500750075006500
7외식비(24종)된장찌개백반1인분(보통)667067053406750550080006500700070006000600065007000700065006000700075007500500072506500700075006500
8외식비(24종)불고기(외식)쇠고기 200g134851350924018500117001250013167231751400017000100001320013000995019000010500105001475018000110001500012000100006750
9외식비(24종)쇠고기(외식)등심 200g2982729827003300022600345002522230000470000120002666644000165003800030000250004400025330180003750022500350004455015000
구분품목명규격 및 단위전월평균금월평균차액전월대비상승율부평1동부평2동부평3동부평4동부평5동부평6동산곡1동산곡2동산곡3동산곡4동청천1동청천2동갈산1동갈산2동삼산1동삼산2동부개1동부개2동부개3동일신동십정1동십정2동
14외식비(24종)탕수육일반탕수육(중, 홀)2113121131001800018000220002075023500170000260002400024500245002050015000165002050027000210001900026000240002300013000
15외식비(24종)돈가스일반돈가스, 1인분806180610016950900065009500945080007500700070008500775065007000750090006950800070008000575075007000
16외식비(24종)생선초밥1인분(보통), 활어기준1428714087-2000155001495001250019900135001400014950012500900016500150001500015000130001000000000
17외식비(24종)튀김닭후라이드 1마리14971149710018500160001750013450192001050001700017500135001725092001300013450169501845016000160001550016750107507950
18외식비(24종)햄버거기본형449245212903450570047004950470027004600290047004900850045002900450056503950450004550003550
19외식비(24종)피자기본형(라지사이즈)157081580810002820015950124501790019365845012900990024950202002170016400012700177001345012900174001290010000107500
20외식비(24종)칼국수1인분(보통)647765456808500600060004750650060005750725060007250650060005500750080006750475057509000800072505000
21외식비(24종)라면(외식)일반 보통라면, 1인분37303730003250350037504500350037503500380035003750400040003500400037504250375032503250350040004000
22외식비(24종)김밥일반김밥, 1인분27482748003000250030003000290032502250380025002750275030002750275030003400200022502500225028502000
23외식비(24종)커피(외식)일반원두커피 1잔29162889-2703000385031502500510023501500320025003500325022004000260023502350225025502650310030002600