Overview

Dataset statistics

Number of variables29
Number of observations22
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory263.0 B

Variable types

Categorical2
Text2
Numeric25

Dataset

Description인천광역시 부평구 개인서비스 요금(기타서비스)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) 기타서비스(21종),세탁료,신사복상하드라이크리닝(다림질 포함),6216,0,-6216,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15083926

Alerts

구분 has constant value ""Constant
품목명 has 1 (4.5%) missing valuesMissing
규격 및 단위 has unique valuesUnique
전월평균 has unique valuesUnique
금월평균 has unique valuesUnique
차액 has 13 (59.1%) zerosZeros
부평2동 has 4 (18.2%) zerosZeros
부평3동 has 5 (22.7%) zerosZeros
부평4동 has 5 (22.7%) zerosZeros
부평5동 has 3 (13.6%) zerosZeros
부평6동 has 5 (22.7%) zerosZeros
산곡1동 has 10 (45.5%) zerosZeros
산곡2동 has 4 (18.2%) zerosZeros
산곡3동 has 10 (45.5%) zerosZeros
산곡4동 has 5 (22.7%) zerosZeros
청천1동 has 8 (36.4%) zerosZeros
청천2동 has 3 (13.6%) zerosZeros
갈산1동 has 5 (22.7%) zerosZeros
갈산2동 has 6 (27.3%) zerosZeros
삼산1동 has 5 (22.7%) zerosZeros
삼산2동 has 3 (13.6%) zerosZeros
부개1동 has 7 (31.8%) zerosZeros
부개2동 has 7 (31.8%) zerosZeros
부개3동 has 7 (31.8%) zerosZeros
일신동 has 9 (40.9%) zerosZeros
십정1동 has 7 (31.8%) zerosZeros
십정2동 has 6 (27.3%) zerosZeros

Reproduction

Analysis started2024-01-28 13:07:43.304846
Analysis finished2024-01-28 13:07:43.579925
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
기타서비스(21종)
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타서비스(21종)
2nd row기타서비스(21종)
3rd row기타서비스(21종)
4th row기타서비스(21종)
5th row기타서비스(21종)

Common Values

ValueCountFrequency (%)
기타서비스(21종) 22
100.0%

Length

2024-01-28T22:07:43.630121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:07:43.704005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타서비스(21종 22
100.0%

품목명
Text

MISSING 

Distinct18
Distinct (%)85.7%
Missing1
Missing (%)4.5%
Memory size308.0 B
2024-01-28T22:07:43.859831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length8
Mean length5.6666667
Min length3

Characters and Unicode

Total characters119
Distinct characters62
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)76.2%

Sample

1st row세탁료
2nd row의복수선료
3rd row공동주택관리비(아파트,개별부과금제외)
4th row택배이용료
5th row볼링장이용료
ValueCountFrequency (%)
미용료 3
 
13.6%
이용료 3
 
13.6%
세탁료 1
 
4.5%
영화관람료 1
 
4.5%
숙박료(여관 1
 
4.5%
숙박료(호텔 1
 
4.5%
찜질방 1
 
4.5%
사진인화료 1
 
4.5%
사진촬영료 1
 
4.5%
pc방이용료 1
 
4.5%
Other values (8) 8
36.4%
2024-01-28T22:07:44.166304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
료 20
 
16.8%
용 12
 
10.1%
이 9
 
7.6%
미 3
 
2.5%
관 3
 
2.5%
방 3
 
2.5%
) 3
 
2.5%
( 3
 
2.5%
장 3
 
2.5%
화 2
 
1.7%
Other values (52) 58
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109
91.6%
Close Punctuation 3
 
2.5%
Open Punctuation 3
 
2.5%
Uppercase Letter 2
 
1.7%
Space Separator 1
 
0.8%
Other Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
료 20
 
18.3%
용 12
 
11.0%
이 9
 
8.3%
미 3
 
2.8%
관 3
 
2.8%
방 3
 
2.8%
장 3
 
2.8%
화 2
 
1.8%
택 2
 
1.8%
사 2
 
1.8%
Other values (46) 50
45.9%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109
91.6%
Common 8
 
6.7%
Latin 2
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
료 20
 
18.3%
용 12
 
11.0%
이 9
 
8.3%
미 3
 
2.8%
관 3
 
2.8%
방 3
 
2.8%
장 3
 
2.8%
화 2
 
1.8%
택 2
 
1.8%
사 2
 
1.8%
Other values (46) 50
45.9%
Common
ValueCountFrequency (%)
) 3
37.5%
( 3
37.5%
1
 
12.5%
, 1
 
12.5%
Latin
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109
91.6%
ASCII 10
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
료 20
 
18.3%
용 12
 
11.0%
이 9
 
8.3%
미 3
 
2.8%
관 3
 
2.8%
방 3
 
2.8%
장 3
 
2.8%
화 2
 
1.8%
택 2
 
1.8%
사 2
 
1.8%
Other values (46) 50
45.9%
ASCII
ValueCountFrequency (%)
) 3
30.0%
( 3
30.0%
P 1
 
10.0%
C 1
 
10.0%
1
 
10.0%
, 1
 
10.0%

규격 및 단위
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-01-28T22:07:44.368595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length18
Mean length15.136364
Min length6

Characters and Unicode

Total characters333
Distinct characters128
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row신사복상하드라이크리닝(다림질 포함)
2nd row신사복 하의길이 수선(바지밑단줄임)
3rd row고층 약82.65㎡
4th row고층 약105.79㎡
5th row크기:중형(가로+세로+높이=140cm)무게:20kg이하, 타지역(특수지역제외)
ValueCountFrequency (%)
포함 4
 
7.8%
고층 2
 
3.9%
성인 2
 
3.9%
1시간 2
 
3.9%
일반인 2
 
3.9%
평일 2
 
3.9%
신사복상하드라이크리닝(다림질 1
 
2.0%
봉사료 1
 
2.0%
10장단위 1
 
2.0%
디지털사진인화요금현상료 1
 
2.0%
Other values (33) 33
64.7%
2024-01-28T22:07:44.691068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
8.7%
성 12
 
3.6%
인 11
 
3.3%
) 10
 
3.0%
, 10
 
3.0%
1 10
 
3.0%
( 10
 
3.0%
일 7
 
2.1%
반 7
 
2.1%
기 7
 
2.1%
Other values (118) 220
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
69.4%
Space Separator 29
 
8.7%
Decimal Number 27
 
8.1%
Other Punctuation 14
 
4.2%
Close Punctuation 10
 
3.0%
Open Punctuation 10
 
3.0%
Lowercase Letter 6
 
1.8%
Math Symbol 4
 
1.2%
Other Symbol 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 12
 
5.2%
인 11
 
4.8%
일 7
 
3.0%
반 7
 
3.0%
기 7
 
3.0%
간 6
 
2.6%
시 6
 
2.6%
여 5
 
2.2%
이 5
 
2.2%
단 5
 
2.2%
Other values (94) 160
69.3%
Decimal Number
ValueCountFrequency (%)
1 10
37.0%
0 6
22.2%
4 2
 
7.4%
2 2
 
7.4%
5 2
 
7.4%
3 1
 
3.7%
9 1
 
3.7%
7 1
 
3.7%
6 1
 
3.7%
8 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
33.3%
m 2
33.3%
k 1
16.7%
g 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 10
71.4%
. 2
 
14.3%
: 2
 
14.3%
Math Symbol
ValueCountFrequency (%)
+ 2
50.0%
× 1
25.0%
= 1
25.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
69.4%
Common 96
28.8%
Latin 6
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 12
 
5.2%
인 11
 
4.8%
일 7
 
3.0%
반 7
 
3.0%
기 7
 
3.0%
간 6
 
2.6%
시 6
 
2.6%
여 5
 
2.2%
이 5
 
2.2%
단 5
 
2.2%
Other values (94) 160
69.3%
Common
ValueCountFrequency (%)
29
30.2%
) 10
 
10.4%
, 10
 
10.4%
1 10
 
10.4%
( 10
 
10.4%
0 6
 
6.2%
4 2
 
2.1%
2 2
 
2.1%
. 2
 
2.1%
㎡ 2
 
2.1%
Other values (10) 13
13.5%
Latin
ValueCountFrequency (%)
c 2
33.3%
m 2
33.3%
k 1
16.7%
g 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
69.4%
ASCII 99
29.7%
CJK Compat 2
 
0.6%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
29.3%
) 10
 
10.1%
, 10
 
10.1%
1 10
 
10.1%
( 10
 
10.1%
0 6
 
6.1%
c 2
 
2.0%
m 2
 
2.0%
4 2
 
2.0%
2 2
 
2.0%
Other values (12) 16
16.2%
Hangul
ValueCountFrequency (%)
성 12
 
5.2%
인 11
 
4.8%
일 7
 
3.0%
반 7
 
3.0%
기 7
 
3.0%
간 6
 
2.6%
시 6
 
2.6%
여 5
 
2.2%
이 5
 
2.2%
단 5
 
2.2%
Other values (94) 160
69.3%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
None
ValueCountFrequency (%)
× 1
100.0%

전월평균
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33153.727
Minimum672
Maximum167778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:44.794041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum672
5-th percentile1427.35
Q17564.25
median13311.5
Q337167.75
95-th percentile136671.6
Maximum167778
Range167106
Interquartile range (IQR)29603.5

Descriptive statistics

Standard deviation45463.457
Coefficient of variation (CV)1.3712925
Kurtosis3.7519275
Mean33153.727
Median Absolute Deviation (MAD)8659.5
Skewness2.1162682
Sum729382
Variance2.0669259 × 109
MonotonicityNot monotonic
2024-01-28T22:07:44.889175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
7239 1
 
4.5%
672 1
 
4.5%
8018 1
 
4.5%
38432 1
 
4.5%
42682 1
 
4.5%
14023 1
 
4.5%
19636 1
 
4.5%
11432 1
 
4.5%
33375 1
 
4.5%
42833 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
672 1
4.5%
1271 1
4.5%
4398 1
4.5%
4906 1
4.5%
7239 1
4.5%
7413 1
4.5%
8018 1
4.5%
9365 1
4.5%
9813 1
4.5%
11432 1
4.5%
ValueCountFrequency (%)
167778 1
4.5%
138187 1
4.5%
107879 1
4.5%
42833 1
4.5%
42682 1
4.5%
38432 1
4.5%
33375 1
4.5%
29159 1
4.5%
19636 1
4.5%
18271 1
4.5%

금월평균
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33128.818
Minimum672
Maximum167778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:44.979202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum672
5-th percentile1483.55
Q17582
median13311.5
Q337167.75
95-th percentile136005.05
Maximum167778
Range167106
Interquartile range (IQR)29585.75

Descriptive statistics

Standard deviation45358.87
Coefficient of variation (CV)1.3691665
Kurtosis3.7704708
Mean33128.818
Median Absolute Deviation (MAD)8648.5
Skewness2.1179558
Sum728834
Variance2.0574271 × 109
MonotonicityNot monotonic
2024-01-28T22:07:45.075297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
7257 1
 
4.5%
672 1
 
4.5%
8089 1
 
4.5%
38432 1
 
4.5%
42682 1
 
4.5%
14023 1
 
4.5%
19682 1
 
4.5%
11477 1
 
4.5%
33375 1
 
4.5%
42833 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
672 1
4.5%
1329 1
4.5%
4420 1
4.5%
4906 1
4.5%
7257 1
4.5%
7413 1
4.5%
8089 1
4.5%
9365 1
4.5%
9813 1
4.5%
11477 1
4.5%
ValueCountFrequency (%)
167778 1
4.5%
137499 1
4.5%
107620 1
4.5%
42833 1
4.5%
42682 1
4.5%
38432 1
4.5%
33375 1
4.5%
29159 1
4.5%
19682 1
4.5%
18410 1
4.5%

차액
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-24.863636
Minimum-688
Maximum139
Zeros13
Zeros (%)59.1%
Negative2
Negative (%)9.1%
Memory size330.0 B
2024-01-28T22:07:45.174055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-688
5-th percentile-246.05
Q10
median0
Q321.75
95-th percentile70.4
Maximum139
Range827
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation163.2367
Coefficient of variation (CV)-6.5652784
Kurtosis14.13844
Mean-24.863636
Median Absolute Deviation (MAD)0
Skewness-3.5827733
Sum-547
Variance26646.219
MonotonicityNot monotonic
2024-01-28T22:07:45.357338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 13
59.1%
45 2
 
9.1%
18 1
 
4.5%
23 1
 
4.5%
-259 1
 
4.5%
-688 1
 
4.5%
59 1
 
4.5%
139 1
 
4.5%
71 1
 
4.5%
ValueCountFrequency (%)
-688 1
 
4.5%
-259 1
 
4.5%
0 13
59.1%
18 1
 
4.5%
23 1
 
4.5%
45 2
 
9.1%
59 1
 
4.5%
71 1
 
4.5%
139 1
 
4.5%
ValueCountFrequency (%)
139 1
 
4.5%
71 1
 
4.5%
59 1
 
4.5%
45 2
 
9.1%
23 1
 
4.5%
18 1
 
4.5%
0 13
59.1%
-259 1
 
4.5%
-688 1
 
4.5%

전월대비상승율
Categorical

Distinct10
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
0.00%
13 
0.25%
 
1
0.51%
 
1
-0.24%
 
1
-0.50%
 
1
Other values (5)
5 

Length

Max length6
Median length5
Mean length5.0909091
Min length5

Unique

Unique9 ?
Unique (%)40.9%

Sample

1st row0.25%
2nd row0.51%
3rd row-0.24%
4th row-0.50%
5th row0.00%

Common Values

ValueCountFrequency (%)
0.00% 13
59.1%
0.25% 1
 
4.5%
0.51% 1
 
4.5%
-0.24% 1
 
4.5%
-0.50% 1
 
4.5%
4.42% 1
 
4.5%
0.75% 1
 
4.5%
0.40% 1
 
4.5%
0.23% 1
 
4.5%
0.88% 1
 
4.5%

Length

2024-01-28T22:07:45.523943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:07:45.721001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.00 13
59.1%
0.25 1
 
4.5%
0.51 1
 
4.5%
0.24 1
 
4.5%
0.50 1
 
4.5%
4.42 1
 
4.5%
0.75 1
 
4.5%
0.40 1
 
4.5%
0.23 1
 
4.5%
0.88 1
 
4.5%

부평1동
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47386.364
Minimum1000
Maximum260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:45.873128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1412.5
Q17375
median19000
Q355750
95-th percentile195625
Maximum260000
Range259000
Interquartile range (IQR)48375

Descriptive statistics

Standard deviation69527.004
Coefficient of variation (CV)1.4672365
Kurtosis3.9648064
Mean47386.364
Median Absolute Deviation (MAD)13750
Skewness2.1296237
Sum1042500
Variance4.8340043 × 109
MonotonicityNot monotonic
2024-01-28T22:07:46.015233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
19000 2
 
9.1%
7000 1
 
4.5%
1000 1
 
4.5%
6750 1
 
4.5%
62000 1
 
4.5%
75000 1
 
4.5%
21500 1
 
4.5%
52000 1
 
4.5%
32500 1
 
4.5%
57000 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
1000 1
4.5%
1250 1
4.5%
4500 1
4.5%
5000 1
4.5%
6750 1
4.5%
7000 1
4.5%
8500 1
4.5%
9000 1
4.5%
10000 1
4.5%
11000 1
4.5%
ValueCountFrequency (%)
260000 1
4.5%
197500 1
4.5%
160000 1
4.5%
75000 1
4.5%
62000 1
4.5%
57000 1
4.5%
52000 1
4.5%
32500 1
4.5%
23000 1
4.5%
21500 1
4.5%

부평2동
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27236.364
Minimum0
Maximum250000
Zeros4
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:46.194749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12250
median13000
Q328750
95-th percentile59400
Maximum250000
Range250000
Interquartile range (IQR)26500

Descriptive statistics

Standard deviation52591.603
Coefficient of variation (CV)1.9309334
Kurtosis16.973324
Mean27236.364
Median Absolute Deviation (MAD)11900
Skewness3.9402435
Sum599200
Variance2.7658767 × 109
MonotonicityNot monotonic
2024-01-28T22:07:46.445274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 4
18.2%
17000 2
 
9.1%
1500 1
 
4.5%
8500 1
 
4.5%
48000 1
 
4.5%
60000 1
 
4.5%
20000 1
 
4.5%
37000 1
 
4.5%
30000 1
 
4.5%
40000 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
0 4
18.2%
1200 1
 
4.5%
1500 1
 
4.5%
4500 1
 
4.5%
6500 1
 
4.5%
7000 1
 
4.5%
8500 1
 
4.5%
12000 1
 
4.5%
14000 1
 
4.5%
17000 2
9.1%
ValueCountFrequency (%)
250000 1
4.5%
60000 1
4.5%
48000 1
4.5%
40000 1
4.5%
37000 1
4.5%
30000 1
4.5%
25000 1
4.5%
20000 1
4.5%
17000 2
9.1%
14000 1
4.5%

부평3동
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20744.682
Minimum0
Maximum131338
Zeros5
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:46.672766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11062.5
median9250
Q327500
95-th percentile95017.75
Maximum131338
Range131338
Interquartile range (IQR)26437.5

Descriptive statistics

Standard deviation33079.52
Coefficient of variation (CV)1.5946024
Kurtosis6.4152376
Mean20744.682
Median Absolute Deviation (MAD)9250
Skewness2.5290916
Sum456383
Variance1.0942546 × 109
MonotonicityNot monotonic
2024-01-28T22:07:46.902078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5
22.7%
30000 2
 
9.1%
8000 1
 
4.5%
1000 1
 
4.5%
9000 1
 
4.5%
37500 1
 
4.5%
10000 1
 
4.5%
15000 1
 
4.5%
12500 1
 
4.5%
35000 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
0 5
22.7%
1000 1
 
4.5%
1250 1
 
4.5%
4000 1
 
4.5%
4250 1
 
4.5%
8000 1
 
4.5%
9000 1
 
4.5%
9500 1
 
4.5%
10000 1
 
4.5%
12500 1
 
4.5%
ValueCountFrequency (%)
131338 1
4.5%
98045 1
4.5%
37500 1
4.5%
35000 1
4.5%
30000 2
9.1%
20000 1
4.5%
15000 1
4.5%
12500 1
4.5%
10000 1
4.5%
9500 1
4.5%

부평4동
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18614.045
Minimum0
Maximum92800
Zeros5
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:47.194869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11000
median9500
Q322052.25
95-th percentile71375
Maximum92800
Range92800
Interquartile range (IQR)21052.25

Descriptive statistics

Standard deviation25216.047
Coefficient of variation (CV)1.3546785
Kurtosis2.962385
Mean18614.045
Median Absolute Deviation (MAD)9000
Skewness1.8423017
Sum409509
Variance6.3584903 × 108
MonotonicityNot monotonic
2024-01-28T22:07:47.414586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 5
22.7%
1000 2
 
9.1%
10000 2
 
9.1%
17709 1
 
4.5%
8500 1
 
4.5%
50000 1
 
4.5%
45000 1
 
4.5%
15500 1
 
4.5%
23500 1
 
4.5%
6000 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
0 5
22.7%
1000 2
 
9.1%
4000 1
 
4.5%
6000 1
 
4.5%
8500 1
 
4.5%
9000 1
 
4.5%
10000 2
 
9.1%
13000 1
 
4.5%
15500 1
 
4.5%
17709 1
 
4.5%
ValueCountFrequency (%)
92800 1
4.5%
72500 1
4.5%
50000 1
4.5%
45000 1
4.5%
30000 1
4.5%
23500 1
4.5%
17709 1
4.5%
15500 1
4.5%
13000 1
4.5%
10000 2
9.1%

부평5동
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24625
Minimum0
Maximum112000
Zeros3
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:47.767148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13937.5
median12250
Q333375
95-th percentile89350
Maximum112000
Range112000
Interquartile range (IQR)29437.5

Descriptive statistics

Standard deviation30804.274
Coefficient of variation (CV)1.250935
Kurtosis2.3461674
Mean24625
Median Absolute Deviation (MAD)12000
Skewness1.67535
Sum541750
Variance9.4890327 × 108
MonotonicityNot monotonic
2024-01-28T22:07:48.071732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
13.6%
58000 2
 
9.1%
7000 1
 
4.5%
500 1
 
4.5%
8500 1
 
4.5%
15500 1
 
4.5%
14000 1
 
4.5%
12500 1
 
4.5%
34500 1
 
4.5%
45000 1
 
4.5%
Other values (9) 9
40.9%
ValueCountFrequency (%)
0 3
13.6%
500 1
 
4.5%
1000 1
 
4.5%
3750 1
 
4.5%
4500 1
 
4.5%
7000 1
 
4.5%
8500 1
 
4.5%
9000 1
 
4.5%
12000 1
 
4.5%
12500 1
 
4.5%
ValueCountFrequency (%)
112000 1
4.5%
91000 1
4.5%
58000 2
9.1%
45000 1
4.5%
34500 1
4.5%
30000 1
4.5%
25000 1
4.5%
15500 1
4.5%
14000 1
4.5%
12500 1
4.5%

부평6동
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24181.818
Minimum0
Maximum145000
Zeros5
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:48.205566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11500
median10000
Q330250
95-th percentile118225
Maximum145000
Range145000
Interquartile range (IQR)28750

Descriptive statistics

Standard deviation38212.297
Coefficient of variation (CV)1.5802078
Kurtosis5.6627438
Mean24181.818
Median Absolute Deviation (MAD)9750
Skewness2.4449226
Sum532000
Variance1.4601797 × 109
MonotonicityNot monotonic
2024-01-28T22:07:48.369924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 5
22.7%
9000 2
 
9.1%
10000 2
 
9.1%
500 1
 
4.5%
7500 1
 
4.5%
46500 1
 
4.5%
37500 1
 
4.5%
15000 1
 
4.5%
40000 1
 
4.5%
16000 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
0 5
22.7%
500 1
 
4.5%
4500 1
 
4.5%
7500 1
 
4.5%
9000 2
 
9.1%
10000 2
 
9.1%
10500 1
 
4.5%
14000 1
 
4.5%
15000 1
 
4.5%
16000 1
 
4.5%
ValueCountFrequency (%)
145000 1
4.5%
122000 1
4.5%
46500 1
4.5%
40000 1
4.5%
37500 1
4.5%
35000 1
4.5%
16000 1
4.5%
15000 1
4.5%
14000 1
4.5%
10500 1
4.5%

산곡1동
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19929.545
Minimum0
Maximum159440
Zeros10
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:48.508277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4000
Q313375
95-th percentile116294.5
Maximum159440
Range159440
Interquartile range (IQR)13375

Descriptive statistics

Standard deviation41044.28
Coefficient of variation (CV)2.0594689
Kurtosis7.2958752
Mean19929.545
Median Absolute Deviation (MAD)4000
Skewness2.7609158
Sum438450
Variance1.6846329 × 109
MonotonicityNot monotonic
2024-01-28T22:07:48.694912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 10
45.5%
4000 2
 
9.1%
6500 1
 
4.5%
120310 1
 
4.5%
159440 1
 
4.5%
7700 1
 
4.5%
30000 1
 
4.5%
8000 1
 
4.5%
8500 1
 
4.5%
15000 1
 
4.5%
Other values (2) 2
 
9.1%
ValueCountFrequency (%)
0 10
45.5%
4000 2
 
9.1%
6500 1
 
4.5%
7700 1
 
4.5%
8000 1
 
4.5%
8500 1
 
4.5%
15000 1
 
4.5%
30000 1
 
4.5%
35000 1
 
4.5%
40000 1
 
4.5%
ValueCountFrequency (%)
159440 1
4.5%
120310 1
4.5%
40000 1
4.5%
35000 1
4.5%
30000 1
4.5%
15000 1
4.5%
8500 1
4.5%
8000 1
4.5%
7700 1
4.5%
6500 1
4.5%

산곡2동
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24806.364
Minimum0
Maximum160000
Zeros4
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:48.838484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11900
median8500
Q318375
95-th percentile99098
Maximum160000
Range160000
Interquartile range (IQR)16475

Descriptive statistics

Standard deviation40574.582
Coefficient of variation (CV)1.6356521
Kurtosis5.4586847
Mean24806.364
Median Absolute Deviation (MAD)7650
Skewness2.3492916
Sum545740
Variance1.6462967 × 109
MonotonicityNot monotonic
2024-01-28T22:07:48.993276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 4
18.2%
45000 2
 
9.1%
7000 1
 
4.5%
13500 1
 
4.5%
8000 1
 
4.5%
12000 1
 
4.5%
10000 1
 
4.5%
11000 1
 
4.5%
9000 1
 
4.5%
500 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
0 4
18.2%
500 1
 
4.5%
1200 1
 
4.5%
4000 1
 
4.5%
7000 1
 
4.5%
7200 1
 
4.5%
7500 1
 
4.5%
8000 1
 
4.5%
9000 1
 
4.5%
10000 1
 
4.5%
ValueCountFrequency (%)
160000 1
4.5%
99840 1
4.5%
85000 1
4.5%
45000 2
9.1%
20000 1
4.5%
13500 1
4.5%
12000 1
4.5%
11000 1
4.5%
10000 1
4.5%
9000 1
4.5%

산곡3동
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19409.091
Minimum0
Maximum142500
Zeros10
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:49.157007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2500
Q314625
95-th percentile115750
Maximum142500
Range142500
Interquartile range (IQR)14625

Descriptive statistics

Standard deviation38128.741
Coefficient of variation (CV)1.9644784
Kurtosis6.5298374
Mean19409.091
Median Absolute Deviation (MAD)2500
Skewness2.651163
Sum427000
Variance1.4538009 × 109
MonotonicityNot monotonic
2024-01-28T22:07:49.324488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 10
45.5%
12000 2
 
9.1%
35000 2
 
9.1%
7000 1
 
4.5%
4000 1
 
4.5%
120000 1
 
4.5%
142500 1
 
4.5%
30000 1
 
4.5%
1000 1
 
4.5%
15000 1
 
4.5%
ValueCountFrequency (%)
0 10
45.5%
1000 1
 
4.5%
4000 1
 
4.5%
7000 1
 
4.5%
12000 2
 
9.1%
13500 1
 
4.5%
15000 1
 
4.5%
30000 1
 
4.5%
35000 2
 
9.1%
120000 1
 
4.5%
ValueCountFrequency (%)
142500 1
4.5%
120000 1
4.5%
35000 2
9.1%
30000 1
4.5%
15000 1
4.5%
13500 1
4.5%
12000 2
9.1%
7000 1
4.5%
4000 1
4.5%
1000 1
4.5%

산곡4동
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28025
Minimum0
Maximum150000
Zeros5
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:49.520598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11750
median10000
Q331875
95-th percentile137449
Maximum150000
Range150000
Interquartile range (IQR)30125

Descriptive statistics

Standard deviation43953.74
Coefficient of variation (CV)1.5683761
Kurtosis3.4483449
Mean28025
Median Absolute Deviation (MAD)10000
Skewness2.0904034
Sum616550
Variance1.9319313 × 109
MonotonicityNot monotonic
2024-01-28T22:07:49.697357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5
22.7%
9000 2
 
9.1%
7000 1
 
4.5%
32500 1
 
4.5%
35000 1
 
4.5%
15000 1
 
4.5%
16000 1
 
4.5%
11000 1
 
4.5%
40000 1
 
4.5%
1000 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
0 5
22.7%
1000 1
 
4.5%
4000 1
 
4.5%
4500 1
 
4.5%
7000 1
 
4.5%
9000 2
 
9.1%
11000 1
 
4.5%
12500 1
 
4.5%
15000 1
 
4.5%
16000 1
 
4.5%
ValueCountFrequency (%)
150000 1
4.5%
139385 1
4.5%
100665 1
4.5%
40000 1
4.5%
35000 1
4.5%
32500 1
4.5%
30000 1
4.5%
16000 1
4.5%
15000 1
4.5%
12500 1
4.5%

청천1동
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13290.909
Minimum0
Maximum85000
Zeros8
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:49.798797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8500
Q318250
95-th percentile30000
Maximum85000
Range85000
Interquartile range (IQR)18250

Descriptive statistics

Standard deviation19276.68
Coefficient of variation (CV)1.4503658
Kurtosis8.9007382
Mean13290.909
Median Absolute Deviation (MAD)8500
Skewness2.6615924
Sum292400
Variance3.7159039 × 108
MonotonicityNot monotonic
2024-01-28T22:07:49.895775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 8
36.4%
30000 3
 
13.6%
6500 1
 
4.5%
2500 1
 
4.5%
85000 1
 
4.5%
7000 1
 
4.5%
10400 1
 
4.5%
25000 1
 
4.5%
13000 1
 
4.5%
20000 1
 
4.5%
Other values (3) 3
 
13.6%
ValueCountFrequency (%)
0 8
36.4%
2500 1
 
4.5%
6500 1
 
4.5%
7000 1
 
4.5%
10000 1
 
4.5%
10400 1
 
4.5%
11000 1
 
4.5%
12000 1
 
4.5%
13000 1
 
4.5%
20000 1
 
4.5%
ValueCountFrequency (%)
85000 1
 
4.5%
30000 3
13.6%
25000 1
 
4.5%
20000 1
 
4.5%
13000 1
 
4.5%
12000 1
 
4.5%
11000 1
 
4.5%
10400 1
 
4.5%
10000 1
 
4.5%
7000 1
 
4.5%

청천2동
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31334.091
Minimum0
Maximum190000
Zeros3
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:50.010726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14750
median11500
Q337500
95-th percentile121000
Maximum190000
Range190000
Interquartile range (IQR)32750

Descriptive statistics

Standard deviation47113.827
Coefficient of variation (CV)1.5035964
Kurtosis5.8323415
Mean31334.091
Median Absolute Deviation (MAD)11325
Skewness2.3781073
Sum689350
Variance2.2197127 × 109
MonotonicityNot monotonic
2024-01-28T22:07:50.141523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 3
 
13.6%
7000 2
 
9.1%
40000 2
 
9.1%
12000 1
 
4.5%
27500 1
 
4.5%
50000 1
 
4.5%
15000 1
 
4.5%
20000 1
 
4.5%
9500 1
 
4.5%
350 1
 
4.5%
Other values (8) 8
36.4%
ValueCountFrequency (%)
0 3
13.6%
350 1
 
4.5%
1000 1
 
4.5%
4000 1
 
4.5%
7000 2
9.1%
9500 1
 
4.5%
10000 1
 
4.5%
11000 1
 
4.5%
12000 1
 
4.5%
15000 1
 
4.5%
ValueCountFrequency (%)
190000 1
4.5%
122500 1
4.5%
92500 1
4.5%
50000 1
4.5%
40000 2
9.1%
30000 1
4.5%
27500 1
4.5%
20000 1
4.5%
15000 1
4.5%
12000 1
4.5%

갈산1동
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28147.955
Minimum0
Maximum150000
Zeros5
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:50.299298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11925
median11500
Q325000
95-th percentile139734.25
Maximum150000
Range150000
Interquartile range (IQR)23075

Descriptive statistics

Standard deviation45940.423
Coefficient of variation (CV)1.6321052
Kurtosis3.2534988
Mean28147.955
Median Absolute Deviation (MAD)11500
Skewness2.1388684
Sum619255
Variance2.1105225 × 109
MonotonicityNot monotonic
2024-01-28T22:07:50.426891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 5
22.7%
25000 4
18.2%
8000 2
 
9.1%
11500 2
 
9.1%
125185 1
 
4.5%
140500 1
 
4.5%
150000 1
 
4.5%
5000 1
 
4.5%
16670 1
 
4.5%
900 1
 
4.5%
Other values (3) 3
13.6%
ValueCountFrequency (%)
0 5
22.7%
900 1
 
4.5%
5000 1
 
4.5%
8000 2
 
9.1%
10000 1
 
4.5%
11500 2
 
9.1%
12000 1
 
4.5%
16670 1
 
4.5%
20000 1
 
4.5%
25000 4
18.2%
ValueCountFrequency (%)
150000 1
 
4.5%
140500 1
 
4.5%
125185 1
 
4.5%
25000 4
18.2%
20000 1
 
4.5%
16670 1
 
4.5%
12000 1
 
4.5%
11500 2
9.1%
10000 1
 
4.5%
8000 2
9.1%

갈산2동
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15246.591
Minimum0
Maximum110600
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:50.541633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1125
median5200
Q314375
95-th percentile61403.75
Maximum110600
Range110600
Interquartile range (IQR)14250

Descriptive statistics

Standard deviation26178.543
Coefficient of variation (CV)1.7170096
Kurtosis8.4613973
Mean15246.591
Median Absolute Deviation (MAD)5200
Skewness2.7770802
Sum335425
Variance6.8531609 × 108
MonotonicityNot monotonic
2024-01-28T22:07:50.650591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6
27.3%
5900 1
 
4.5%
500 1
 
4.5%
7000 1
 
4.5%
25000 1
 
4.5%
32500 1
 
4.5%
12500 1
 
4.5%
11000 1
 
4.5%
10000 1
 
4.5%
15000 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
0 6
27.3%
500 1
 
4.5%
1000 1
 
4.5%
3000 1
 
4.5%
4000 1
 
4.5%
4500 1
 
4.5%
5900 1
 
4.5%
7000 1
 
4.5%
10000 1
 
4.5%
11000 1
 
4.5%
ValueCountFrequency (%)
110600 1
4.5%
62925 1
4.5%
32500 1
4.5%
30000 1
4.5%
25000 1
4.5%
15000 1
4.5%
12500 1
4.5%
11000 1
4.5%
10000 1
4.5%
7000 1
4.5%

삼산1동
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28665.909
Minimum0
Maximum215000
Zeros5
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:50.765721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1825
median8750
Q323250
95-th percentile173500
Maximum215000
Range215000
Interquartile range (IQR)22425

Descriptive statistics

Standard deviation56568.369
Coefficient of variation (CV)1.9733673
Kurtosis7.2695699
Mean28665.909
Median Absolute Deviation (MAD)8750
Skewness2.8121681
Sum630650
Variance3.1999803 × 109
MonotonicityNot monotonic
2024-01-28T22:07:50.878832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 5
22.7%
10500 2
 
9.1%
7250 1
 
4.5%
700 1
 
4.5%
8500 1
 
4.5%
40000 1
 
4.5%
50000 1
 
4.5%
15000 1
 
4.5%
18000 1
 
4.5%
9000 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
0 5
22.7%
700 1
 
4.5%
1200 1
 
4.5%
4500 1
 
4.5%
5500 1
 
4.5%
7250 1
 
4.5%
8500 1
 
4.5%
9000 1
 
4.5%
10500 2
 
9.1%
15000 1
 
4.5%
ValueCountFrequency (%)
215000 1
4.5%
180000 1
4.5%
50000 1
4.5%
40000 1
4.5%
30000 1
4.5%
25000 1
4.5%
18000 1
4.5%
15000 1
4.5%
10500 2
9.1%
9000 1
4.5%

삼산2동
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30613.591
Minimum0
Maximum140810
Zeros3
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:51.001853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13875
median11000
Q344625
95-th percentile125639.55
Maximum140810
Range140810
Interquartile range (IQR)40750

Descriptive statistics

Standard deviation41792.133
Coefficient of variation (CV)1.3651496
Kurtosis2.012461
Mean30613.591
Median Absolute Deviation (MAD)10250
Skewness1.7101991
Sum673499
Variance1.7465824 × 109
MonotonicityNot monotonic
2024-01-28T22:07:51.149778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
13.6%
10000 2
 
9.1%
18500 1
 
4.5%
54500 1
 
4.5%
59500 1
 
4.5%
19000 1
 
4.5%
49500 1
 
4.5%
16000 1
 
4.5%
12000 1
 
4.5%
500 1
 
4.5%
Other values (9) 9
40.9%
ValueCountFrequency (%)
0 3
13.6%
500 1
 
4.5%
1000 1
 
4.5%
3500 1
 
4.5%
5000 1
 
4.5%
7700 1
 
4.5%
9000 1
 
4.5%
10000 2
9.1%
12000 1
 
4.5%
16000 1
 
4.5%
ValueCountFrequency (%)
140810 1
4.5%
126989 1
4.5%
100000 1
4.5%
59500 1
4.5%
54500 1
4.5%
49500 1
4.5%
30000 1
4.5%
19000 1
4.5%
18500 1
4.5%
16000 1
4.5%

부개1동
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17803.182
Minimum0
Maximum148290
Zeros7
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:51.296879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7500
Q317375
95-th percentile63036
Maximum148290
Range148290
Interquartile range (IQR)17375

Descriptive statistics

Standard deviation33192.61
Coefficient of variation (CV)1.8644201
Kurtosis11.966143
Mean17803.182
Median Absolute Deviation (MAD)7500
Skewness3.2624906
Sum391670
Variance1.1017493 × 109
MonotonicityNot monotonic
2024-01-28T22:07:51.410415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7
31.8%
8000 2
 
9.1%
5000 1
 
4.5%
64380 1
 
4.5%
148290 1
 
4.5%
7000 1
 
4.5%
30000 1
 
4.5%
1500 1
 
4.5%
17000 1
 
4.5%
500 1
 
4.5%
Other values (5) 5
22.7%
ValueCountFrequency (%)
0 7
31.8%
500 1
 
4.5%
1500 1
 
4.5%
5000 1
 
4.5%
7000 1
 
4.5%
8000 2
 
9.1%
10000 1
 
4.5%
12000 1
 
4.5%
17000 1
 
4.5%
17500 1
 
4.5%
ValueCountFrequency (%)
148290 1
4.5%
64380 1
4.5%
37500 1
4.5%
30000 1
4.5%
25000 1
4.5%
17500 1
4.5%
17000 1
4.5%
12000 1
4.5%
10000 1
4.5%
8000 2
9.1%

부개2동
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19616.364
Minimum0
Maximum133450
Zeros7
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:51.529859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5900
Q315750
95-th percentile98442
Maximum133450
Range133450
Interquartile range (IQR)15750

Descriptive statistics

Standard deviation34910.325
Coefficient of variation (CV)1.7796532
Kurtosis5.6674463
Mean19616.364
Median Absolute Deviation (MAD)5900
Skewness2.433523
Sum431560
Variance1.2187308 × 109
MonotonicityNot monotonic
2024-01-28T22:07:51.654812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7
31.8%
5800 1
 
4.5%
450 1
 
4.5%
7000 1
 
4.5%
52500 1
 
4.5%
40000 1
 
4.5%
15000 1
 
4.5%
16000 1
 
4.5%
8000 1
 
4.5%
12000 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
0 7
31.8%
450 1
 
4.5%
1000 1
 
4.5%
3500 1
 
4.5%
5800 1
 
4.5%
6000 1
 
4.5%
7000 1
 
4.5%
8000 1
 
4.5%
12000 1
 
4.5%
15000 1
 
4.5%
ValueCountFrequency (%)
133450 1
4.5%
100860 1
4.5%
52500 1
4.5%
40000 1
4.5%
30000 1
4.5%
16000 1
4.5%
15000 1
4.5%
12000 1
4.5%
8000 1
4.5%
7000 1
4.5%

부개3동
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25186.818
Minimum0
Maximum142370
Zeros7
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:51.804624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7350
Q329375
95-th percentile125688
Maximum142370
Range142370
Interquartile range (IQR)29375

Descriptive statistics

Standard deviation42285.031
Coefficient of variation (CV)1.6788556
Kurtosis3.093677
Mean25186.818
Median Absolute Deviation (MAD)7350
Skewness2.0266971
Sum554110
Variance1.7880238 × 109
MonotonicityNot monotonic
2024-01-28T22:07:51.918905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 7
31.8%
40000 2
 
9.1%
12000 2
 
9.1%
8000 1
 
4.5%
4500 1
 
4.5%
127040 1
 
4.5%
142370 1
 
4.5%
6700 1
 
4.5%
4000 1
 
4.5%
100000 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
0 7
31.8%
1000 1
 
4.5%
4000 1
 
4.5%
4500 1
 
4.5%
6700 1
 
4.5%
8000 1
 
4.5%
9000 1
 
4.5%
12000 2
 
9.1%
12500 1
 
4.5%
35000 1
 
4.5%
ValueCountFrequency (%)
142370 1
4.5%
127040 1
4.5%
100000 1
4.5%
40000 2
9.1%
35000 1
4.5%
12500 1
4.5%
12000 2
9.1%
9000 1
4.5%
8000 1
4.5%
6700 1
4.5%

일신동
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21675
Minimum0
Maximum150850
Zeros9
Zeros (%)40.9%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:52.416911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8250
Q323375
95-th percentile135200
Maximum150850
Range150850
Interquartile range (IQR)23375

Descriptive statistics

Standard deviation41600.709
Coefficient of variation (CV)1.9192945
Kurtosis6.6807236
Mean21675
Median Absolute Deviation (MAD)8250
Skewness2.7136736
Sum476850
Variance1.730619 × 109
MonotonicityNot monotonic
2024-01-28T22:07:52.556457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9
40.9%
9000 2
 
9.1%
8000 1
 
4.5%
5000 1
 
4.5%
140500 1
 
4.5%
150850 1
 
4.5%
8500 1
 
4.5%
30000 1
 
4.5%
25000 1
 
4.5%
12000 1
 
4.5%
Other values (3) 3
 
13.6%
ValueCountFrequency (%)
0 9
40.9%
5000 1
 
4.5%
8000 1
 
4.5%
8500 1
 
4.5%
9000 2
 
9.1%
12000 1
 
4.5%
20000 1
 
4.5%
24500 1
 
4.5%
25000 1
 
4.5%
30000 1
 
4.5%
ValueCountFrequency (%)
150850 1
4.5%
140500 1
4.5%
34500 1
4.5%
30000 1
4.5%
25000 1
4.5%
24500 1
4.5%
20000 1
4.5%
12000 1
4.5%
9000 2
9.1%
8500 1
4.5%

십정1동
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26854.545
Minimum0
Maximum150000
Zeros7
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:52.665706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9000
Q321875
95-th percentile140385
Maximum150000
Range150000
Interquartile range (IQR)21875

Descriptive statistics

Standard deviation47543.201
Coefficient of variation (CV)1.7703968
Kurtosis3.0719315
Mean26854.545
Median Absolute Deviation (MAD)9000
Skewness2.1100096
Sum590800
Variance2.2603559 × 109
MonotonicityNot monotonic
2024-01-28T22:07:52.762920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 7
31.8%
9000 3
13.6%
4000 1
 
4.5%
132500 1
 
4.5%
140800 1
 
4.5%
150000 1
 
4.5%
32500 1
 
4.5%
20000 1
 
4.5%
500 1
 
4.5%
10500 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
0 7
31.8%
500 1
 
4.5%
4000 1
 
4.5%
8000 1
 
4.5%
9000 3
13.6%
10500 1
 
4.5%
12500 1
 
4.5%
20000 1
 
4.5%
22500 1
 
4.5%
30000 1
 
4.5%
ValueCountFrequency (%)
150000 1
 
4.5%
140800 1
 
4.5%
132500 1
 
4.5%
32500 1
 
4.5%
30000 1
 
4.5%
22500 1
 
4.5%
20000 1
 
4.5%
12500 1
 
4.5%
10500 1
 
4.5%
9000 3
13.6%

십정2동
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12538.636
Minimum0
Maximum42000
Zeros6
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-01-28T22:07:52.894271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q187.5
median7000
Q323625
95-th percentile41650
Maximum42000
Range42000
Interquartile range (IQR)23537.5

Descriptive statistics

Standard deviation14663.024
Coefficient of variation (CV)1.1694273
Kurtosis-0.49451117
Mean12538.636
Median Absolute Deviation (MAD)7000
Skewness0.97278119
Sum275850
Variance2.1500427 × 108
MonotonicityNot monotonic
2024-01-28T22:07:53.063506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 6
27.3%
7000 2
 
9.1%
4000 2
 
9.1%
30000 2
 
9.1%
42000 2
 
9.1%
7500 1
 
4.5%
1000 1
 
4.5%
18000 1
 
4.5%
350 1
 
4.5%
35000 1
 
4.5%
Other values (3) 3
13.6%
ValueCountFrequency (%)
0 6
27.3%
350 1
 
4.5%
1000 1
 
4.5%
4000 2
 
9.1%
7000 2
 
9.1%
7500 1
 
4.5%
9500 1
 
4.5%
13000 1
 
4.5%
18000 1
 
4.5%
25500 1
 
4.5%
ValueCountFrequency (%)
42000 2
9.1%
35000 1
4.5%
30000 2
9.1%
25500 1
4.5%
18000 1
4.5%
13000 1
4.5%
9500 1
4.5%
7500 1
4.5%
7000 2
9.1%
4000 2
9.1%

Sample

구분품목명규격 및 단위전월평균금월평균차액전월대비상승율부평1동부평2동부평3동부평4동부평5동부평6동산곡1동산곡2동산곡3동산곡4동청천1동청천2동갈산1동갈산2동삼산1동삼산2동부개1동부개2동부개3동일신동십정1동십정2동
0기타서비스(21종)세탁료신사복상하드라이크리닝(다림질 포함)72397257180.25%7000700080006000700090006500700070007000650070008000590072507700800058008000800090007000
1기타서비스(21종)의복수선료신사복 하의길이 수선(바지밑단줄임)43984420230.51%5000450042504000450045004000400040004000250040008000450045005000500035004500500040004000
2기타서비스(21종)공동주택관리비(아파트,개별부과금제외)고층 약82.65㎡107879107620-259-0.24%160000098045725009100012200012031085000120000100665300009250012518562925180000126989643801008601270401405001325000
3기타서비스(21종)<NA>고층 약105.79㎡138187137499-688-0.50%19750001313389280011200014500015944099840142500139385850001225001405001106002150001408101482901334501423701508501408000
4기타서비스(21종)택배이용료크기:중형(가로+세로+높이=140cm)무게:20kg이하, 타지역(특수지역제외)7413741300.00%9000650040001300012000105000750004500700000300009000060006700850004000
5기타서비스(21종)볼링장이용료일반인 평일 1게임오후기준(신발대여료 제외)4906490600.00%45000003750040000000100000400055003500004000000
6기타서비스(21종)골프연습장이용료초급반(남자)회원 1개월이용권16777816777800.00%2600002500000000016000001500000190000150000001000000010000001500000
7기타서비스(21종)당구장이용료일반인, 저녁시간, 1시간9365936500.00%85001200095009000900090007700720012000125001040070001150001050010000700009000900090007500
8기타서비스(21종)노래방이용료성인, 저녁시간대, 일반실 기본1시간291592915900.00%19000250003000030000300003500030000200003000030000250003000025000300003000030000300003000040000300003250030000
9기타서비스(21종)PC방이용료기본 1시간12711329594.42%1250120012501000100000120010001000010005000100012001000150010001000001000
구분품목명규격 및 단위전월평균금월평균차액전월대비상승율부평1동부평2동부평3동부평4동부평5동부평6동산곡1동산곡2동산곡3동산곡4동청천1동청천2동갈산1동갈산2동삼산1동삼산2동부개1동부개2동부개3동일신동십정1동십정2동
12기타서비스(21종)사진인화료디지털사진인화요금현상료 포함67267200.00%1000150010001000500500050000035090050070050050045000500350
13기타서비스(21종)찜질방 이용료성인, 찜질복대여료 포함9813981300.00%10000001000000090000900000115000900012000800000000
14기타서비스(21종)숙박료(호텔)평일, 스탠다드부가세 및 봉사료 포함428334283300.00%5700040000004500000004000004000000000000035000
15기타서비스(21종)숙박료(여관)독방, 1방, 욕탕부설333753337500.00%325003000035000034500400000000040000250000000000030000
16기타서비스(21종)이용료성인남성커트1143211477450.40%190001700012500100001250010000800011000120001100011000950010000100001050016000120008000120001200090009500
17기타서비스(21종)이용료성인남성염색1963619682450.23%5200037000150002350014000100008500100001500016000120002000020000110001800049500175001600012000200001050025500
18기타서비스(21종)미용료성인여성커트(단발기준)140231402300.00%2150020000100001550015500150001500012000135001500010000150001200012500150001900010000150001250090001250013000
19기타서비스(21종)미용료성인여자(단발기준, 일반파마)426824268200.00%75000600003750045000580003750040000450003500035000300005000025000325005000059500375004000040000345003000042000
20기타서비스(21종)미용료성인여성염색(단발기준)384323843200.00%62000480003000050000580004650035000450003500032500300002750025000250004000054500250005250035000245002250042000
21기타서비스(21종)목욕료성인일반대중탕80188089710.88%67508500900085008500750008000090000007000850010000070000080007000