gimi9 Pandas Profiling

Dataset statistics

Number of variables	13
Number of observations	249
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	27.4 KiB
Average record size in memory	112.5 B

Variable types

Categorical	4
Text	2
Numeric	7

Dataset

Description	샘플 데이터
Author	신한카드
URL	https://www.findatamall.or.kr/market/dataProdDetail?gdsSn=14116&gdsSeCd=CHOICE&gdsVer=1

Alerts

`광역시도명` has constant value ""	Constant
`시군구명` has constant value ""	Constant
`기준년월` has constant value ""	Constant
`신규가맹점수` is highly overall correlated with `매출가맹점수`	High correlation
`매출가맹점수` is highly overall correlated with `신규가맹점수` and 2 other fields	High correlation
`카드매출금액` is highly overall correlated with `매출가맹점수` and 2 other fields	High correlation
`카드매출건수` is highly overall correlated with `매출가맹점수` and 2 other fields	High correlation
`점당매출금액` is highly overall correlated with `카드매출금액` and 1 other fields	High correlation
`업종소분류` has unique values	Unique
`건당매출금액` has unique values	Unique
`신규가맹점수` has 191 (76.7%) zeros	Zeros
`폐업가맹점수` has 193 (77.5%) zeros	Zeros

Reproduction

Analysis started	2024-03-13 14:43:58.072803
Analysis finished	2024-03-13 14:44:07.388069
Duration	9.32 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

광역시도명
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

서울	249

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
서울	249	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
서울	249	100.0%

시군구명
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

용산구	249

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
용산구	249	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
용산구	249	100.0%

기준년월
Categorical

CONSTANT

Distinct	1
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

202003	249

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	202003
2nd row	202003
3rd row	202003
4th row	202003
5th row	202003

Common Values

Value	Count	Frequency (%)
202003	249	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
202003	249	100.0%

업종대분류
Categorical

Distinct	6
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

전문서비스	63
음식	49
문화레져	46
일반유통	41
생활서비스	38

Length

Max length	5
Median length	4
Mean length	4.0120482
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
전문서비스	63	25.3%
음식	49	19.7%
문화레져	46	18.5%
일반유통	41	16.5%
생활서비스	38	15.3%
종합유통	12	4.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
전문서비스	63	25.3%
음식	49	19.7%
문화레져	46	18.5%
일반유통	41	16.5%
생활서비스	38	15.3%
종합유통	12	4.8%

업종중분류
Text

Distinct	88
Distinct (%)	35.3%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

Length

Max length	12
Median length	10
Mean length	4.2409639
Min length	2

Characters and Unicode

Total characters	1056
Distinct characters	160
Distinct categories	4 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	37 ?
Unique (%)	14.9%

Sample

1st row	동물
2nd row	동물병원
3rd row	레져
4th row	레져
5th row	레져

Value	Count	Frequency (%)
개인병원	17	6.8%
레져	13	5.2%
전문용역서비스	8	3.2%
학원	7	2.8%
식품	7	2.8%
미용/사우나/마사지	7	2.8%
숙박	7	2.8%
간식	6	2.4%
농축수산물	6	2.4%
한식	6	2.4%
Other values (78)	165	66.3%

Most occurring characters

Value	Count	Frequency (%)
/	71	6.7%
기	31	2.9%
용	31	2.9%
원	30	2.8%
식	29	2.7%
품	28	2.7%
전	26	2.5%
인	22	2.1%
사	21	2.0%
병	19	1.8%
Other values (150)	748	70.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	981	92.9%
Other Punctuation	71	6.7%
Dash Punctuation	2	0.2%
Uppercase Letter	2	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
기	31	3.2%
용	31	3.2%
원	30	3.1%
식	29	3.0%
품	28	2.9%
전	26	2.7%
인	22	2.2%
사	21	2.1%
병	19	1.9%
비	19	1.9%
Other values (146)	725	73.9%

Uppercase Letter

Value	Count	Frequency (%)
P	1	50.0%
C	1	50.0%

Other Punctuation

Value	Count	Frequency (%)
/	71	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	981	92.9%
Common	73	6.9%
Latin	2	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
기	31	3.2%
용	31	3.2%
원	30	3.1%
식	29	3.0%
품	28	2.9%
전	26	2.7%
인	22	2.2%
사	21	2.1%
병	19	1.9%
비	19	1.9%
Other values (146)	725	73.9%

Common

Value	Count	Frequency (%)
/	71	97.3%
-	2	2.7%

Latin

Value	Count	Frequency (%)
P	1	50.0%
C	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	981	92.9%
ASCII	75	7.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	71	94.7%
-	2	2.7%
P	1	1.3%
C	1	1.3%

Hangul

Value	Count	Frequency (%)
기	31	3.2%
용	31	3.2%
원	30	3.1%
식	29	3.0%
품	28	2.9%
전	26	2.7%
인	22	2.2%
사	21	2.1%
병	19	1.9%
비	19	1.9%
Other values (146)	725	73.9%

업종소분류
Text

UNIQUE

Distinct	249
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	2.1 KiB

Length

Max length	13
Median length	9
Mean length	4.7911647
Min length	1

Characters and Unicode

Total characters	1193
Distinct characters	273
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

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

Unique

Unique	249 ?
Unique (%)	100.0%

Sample

1st row	애완동물/용품
2nd row	병원-동물병원
3rd row	골프장
4th row	노래방
5th row	당구장

Value	Count	Frequency (%)
제조	4	1.5%
수리	3	1.1%
떡/한과	2	0.7%
대행	2	0.7%
자동차	2	0.7%
슈퍼마켓	2	0.7%
대여	2	0.7%
오토바이	2	0.7%
용품	2	0.7%
인테리어	2	0.7%
Other values (249)	251	91.6%

Most occurring characters

Value	Count	Frequency (%)
/	49	4.1%
기	40	3.4%
원	35	2.9%
-	32	2.7%
품	29	2.4%
	25	2.1%
용	22	1.8%
과	22	1.8%
병	22	1.8%
장	20	1.7%
Other values (263)	897	75.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1083	90.8%
Other Punctuation	49	4.1%
Dash Punctuation	32	2.7%
Space Separator	25	2.1%
Uppercase Letter	2	0.2%
Decimal Number	2	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
기	40	3.7%
원	35	3.2%
품	29	2.7%
용	22	2.0%
과	22	2.0%
병	22	2.0%
장	20	1.8%
스	17	1.6%
식	16	1.5%
사	16	1.5%
Other values (256)	844	77.9%

Uppercase Letter

Value	Count	Frequency (%)
C	1	50.0%
P	1	50.0%

Decimal Number

Value	Count	Frequency (%)
2	1	50.0%
1	1	50.0%

Other Punctuation

Value	Count	Frequency (%)
/	49	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	32	100.0%

Space Separator

Value	Count	Frequency (%)
	25	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1083	90.8%
Common	108	9.1%
Latin	2	0.2%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
기	40	3.7%
원	35	3.2%
품	29	2.7%
용	22	2.0%
과	22	2.0%
병	22	2.0%
장	20	1.8%
스	17	1.6%
식	16	1.5%
사	16	1.5%
Other values (256)	844	77.9%

Common

Value	Count	Frequency (%)
/	49	45.4%
-	32	29.6%
	25	23.1%
2	1	0.9%
1	1	0.9%

Latin

Value	Count	Frequency (%)
C	1	50.0%
P	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1083	90.8%
ASCII	110	9.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	49	44.5%
-	32	29.1%
	25	22.7%
C	1	0.9%
P	1	0.9%
2	1	0.9%
1	1	0.9%

Hangul

Value	Count	Frequency (%)
기	40	3.7%
원	35	3.2%
품	29	2.7%
용	22	2.0%
과	22	2.0%
병	22	2.0%
장	20	1.8%
스	17	1.6%
식	16	1.5%
사	16	1.5%
Other values (256)	844	77.9%

신규가맹점수
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	12
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.72690763

Minimum	0
Maximum	28
Zeros	191
Zeros (%)	76.7%
Negative	0
Negative (%)	0.0%
Memory size	2.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3
Maximum	28
Range	28
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.625426
Coefficient of variation (CV)	3.6117739
Kurtosis	60.970462
Mean	0.72690763
Median Absolute Deviation (MAD)	0
Skewness	7.1051309
Sum	181
Variance	6.8928618
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	191	76.7%
1	30	12.0%
2	11	4.4%
3	6	2.4%
4	3	1.2%
6	2	0.8%
7	1	0.4%
14	1	0.4%
8	1	0.4%
20	1	0.4%
Other values (2)	2	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	191	76.7%
1	30	12.0%
2	11	4.4%
3	6	2.4%
4	3	1.2%
6	2	0.8%
7	1	0.4%
8	1	0.4%
10	1	0.4%
14	1	0.4%

Value	Count	Frequency (%)
28	1	0.4%
20	1	0.4%
14	1	0.4%
10	1	0.4%
8	1	0.4%
7	1	0.4%
6	2	0.8%
4	3	1.2%
3	6	2.4%
2	11	4.4%

폐업가맹점수
Real number (ℝ)

ZEROS

Distinct	12
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.75903614

Minimum	0
Maximum	29
Zeros	193
Zeros (%)	77.5%
Negative	0
Negative (%)	0.0%
Memory size	2.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3.6
Maximum	29
Range	29
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.9179244
Coefficient of variation (CV)	3.8442496
Kurtosis	58.651801
Mean	0.75903614
Median Absolute Deviation (MAD)	0
Skewness	7.1457953
Sum	189
Variance	8.5142829
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	193	77.5%
1	31	12.4%
2	7	2.8%
3	5	2.0%
4	4	1.6%
5	2	0.8%
9	2	0.8%
18	1	0.4%
6	1	0.4%
25	1	0.4%
Other values (2)	2	0.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	193	77.5%
1	31	12.4%
2	7	2.8%
3	5	2.0%
4	4	1.6%
5	2	0.8%
6	1	0.4%
7	1	0.4%
9	2	0.8%
18	1	0.4%

Value	Count	Frequency (%)
29	1	0.4%
25	1	0.4%
18	1	0.4%
9	2	0.8%
7	1	0.4%
6	1	0.4%
5	2	0.8%
4	4	1.6%
3	5	2.0%
2	7	2.8%

매출가맹점수
Real number (ℝ)

HIGH CORRELATION

Distinct	75
Distinct (%)	30.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.783133

Minimum	1
Maximum	1518
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	8
Q3	25
95-th percentile	122
Maximum	1518
Range	1517
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	132.00944
Coefficient of variation (CV)	3.3182265
Kurtosis	76.749656
Mean	39.783133
Median Absolute Deviation (MAD)	7
Skewness	8.0126311
Sum	9906
Variance	17426.493
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	41	16.5%
2	32	12.9%
3	19	7.6%
10	10	4.0%
8	10	4.0%
4	9	3.6%
23	7	2.8%
9	7	2.8%
6	6	2.4%
7	6	2.4%
Other values (65)	102	41.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	41	16.5%
2	32	12.9%
3	19	7.6%
4	9	3.6%
5	4	1.6%
6	6	2.4%
7	6	2.4%
8	10	4.0%
9	7	2.8%
10	10	4.0%

Value	Count	Frequency (%)
1518	1	0.4%
1014	1	0.4%
655	1	0.4%
398	1	0.4%
381	1	0.4%
354	1	0.4%
251	1	0.4%
240	1	0.4%
223	1	0.4%
201	1	0.4%

카드매출금액
Real number (ℝ)

HIGH CORRELATION

Distinct	247
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4377137 × 10⁸

Minimum	-5882000
Maximum	1.2083436 × 10¹⁰
Zeros	1
Zeros (%)	0.4%
Negative	2
Negative (%)	0.8%
Memory size	2.3 KiB

Quantile statistics

Minimum	-5882000
5-th percentile	178800
Q1	3826000
median	24279000
Q3	93304000
95-th percentile	1.4881724 × 10⁹
Maximum	1.2083436 × 10¹⁰
Range	1.2089318 × 10¹⁰
Interquartile range (IQR)	89478000

Descriptive statistics

Standard deviation	1.3807469 × 10⁹
Coefficient of variation (CV)	4.0164686
Kurtosis	49.010901
Mean	3.4377137 × 10⁸
Median Absolute Deviation (MAD)	23304000
Skewness	6.6719438
Sum	8.559907 × 10¹⁰
Variance	1.9064619 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
55000	2	0.8%
975000	2	0.8%
440574000	1	0.4%
14789000	1	0.4%
409650000	1	0.4%
13930000	1	0.4%
33581000	1	0.4%
1592000	1	0.4%
1403000	1	0.4%
8691000	1	0.4%
Other values (237)	237	95.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-5882000	1	0.4%
-4885000	1	0.4%
0	1	0.4%
1000	1	0.4%
7000	1	0.4%
10000	1	0.4%
55000	2	0.8%
80000	1	0.4%
116000	1	0.4%
120000	1	0.4%

Value	Count	Frequency (%)
12083436000	1	0.4%
11872402000	1	0.4%
9642912000	1	0.4%
5521245000	1	0.4%
5282764000	1	0.4%
4134329000	1	0.4%
3277479000	1	0.4%
2507841000	1	0.4%
2291050000	1	0.4%
2028023000	1	0.4%

카드매출건수
Real number (ℝ)

HIGH CORRELATION

Distinct	210
Distinct (%)	84.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10516.337

Minimum	-40
Maximum	659259
Zeros	1
Zeros (%)	0.4%
Negative	1
Negative (%)	0.4%
Memory size	2.3 KiB

Quantile statistics

Minimum	-40
5-th percentile	3
Q1	44
median	307
Q3	2021
95-th percentile	49893.8
Maximum	659259
Range	659299
Interquartile range (IQR)	1977

Descriptive statistics

Standard deviation	50701.457
Coefficient of variation (CV)	4.8212087
Kurtosis	113.36979
Mean	10516.337
Median Absolute Deviation (MAD)	302
Skewness	9.7147306
Sum	2618568
Variance	2.5706377 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	5	2.0%
8	5	2.0%
2	5	2.0%
3	4	1.6%
4	4	1.6%
5	4	1.6%
31	3	1.2%
12	3	1.2%
6	3	1.2%
11	3	1.2%
Other values (200)	210	84.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-40	1	0.4%
0	1	0.4%
1	5	2.0%
2	5	2.0%
3	4	1.6%
4	4	1.6%
5	4	1.6%
6	3	1.2%
7	1	0.4%
8	5	2.0%

Value	Count	Frequency (%)
659259	1	0.4%
297692	1	0.4%
196526	1	0.4%
166943	1	0.4%
144052	1	0.4%
99411	1	0.4%
90284	1	0.4%
73060	1	0.4%
72106	1	0.4%
68977	1	0.4%

점당매출금액
Real number (ℝ)

HIGH CORRELATION

Distinct	248
Distinct (%)	99.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51726623

Minimum	-5882250
Maximum	6.0417179 × 10⁹
Zeros	1
Zeros (%)	0.4%
Negative	2
Negative (%)	0.8%
Memory size	2.3 KiB

Quantile statistics

Minimum	-5882250
5-th percentile	131899.8
Q1	876864
median	1943836
Q3	4321296
95-th percentile	72873253
Maximum	6.0417179 × 10⁹
Range	6.0476002 × 10⁹
Interquartile range (IQR)	3444432

Descriptive statistics

Standard deviation	4.3567623 × 10⁸
Coefficient of variation (CV)	8.4226692
Kurtosis	156.05152
Mean	51726623
Median Absolute Deviation (MAD)	1347303
Skewness	12.129555
Sum	1.2879929 × 10¹⁰
Variance	1.8981378 × 10¹⁷
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
55000	2	0.8%
1468111	1	0.4%
1673895	1	0.4%
821583	1	0.4%
102412385	1	0.4%
3482406	1	0.4%
3052818	1	0.4%
796000	1	0.4%
200429	1	0.4%
511253	1	0.4%
Other values (238)	238	95.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-5882250	1	0.4%
-4884852	1	0.4%
0	1	0.4%
1000	1	0.4%
6800	1	0.4%
10100	1	0.4%
55000	2	0.8%
80000	1	0.4%
116000	1	0.4%
119700	1	0.4%

Value	Count	Frequency (%)
6041717942	1	0.4%
3214304025	1	0.4%
559975345	1	0.4%
438055503	1	0.4%
349188294	1	0.4%
265439164	1	0.4%
261258240	1	0.4%
185596850	1	0.4%
184041486	1	0.4%
163646452	1	0.4%

건당매출금액
Real number (ℝ)

UNIQUE

Distinct	249
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	257267.05

Minimum	-976970
Maximum	27315870
Zeros	1
Zeros (%)	0.4%
Negative	1
Negative (%)	0.4%
Memory size	2.3 KiB

Quantile statistics

Minimum	-976970
5-th percentile	6756
Q1	25286
median	52317
Q3	143153
95-th percentile	521355.2
Maximum	27315870
Range	28292840
Interquartile range (IQR)	117867

Descriptive statistics

Standard deviation	1762304.2
Coefficient of variation (CV)	6.8500967
Kurtosis	226.67241
Mean	257267.05
Median Absolute Deviation (MAD)	38361
Skewness	14.771859
Sum	64059496
Variance	3.105716 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
48613	1	0.4%
106392	1	0.4%
13965	1	0.4%
171115	1	0.4%
64489	1	0.4%
533032	1	0.4%
23761	1	0.4%
48379	1	0.4%
119059	1	0.4%
13184	1	0.4%
Other values (239)	239	96.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-976970	1	0.4%
0	1	0.4%
1000	1	0.4%
1700	1	0.4%
3694	1	0.4%
4636	1	0.4%
4750	1	0.4%
5050	1	0.4%
5077	1	0.4%
5142	1	0.4%

Value	Count	Frequency (%)
27315870	1	0.4%
4057554	1	0.4%
3035353	1	0.4%
1559652	1	0.4%
1428000	1	0.4%
1300500	1	0.4%
889774	1	0.4%
760000	1	0.4%
696916	1	0.4%
659719	1	0.4%

Phik (φk)
Auto

Heatmap
Table

	업종대분류	업종중분류	신규가맹점수	폐업가맹점수	매출가맹점수	카드매출금액	카드매출건수	점당매출금액	건당매출금액
업종대분류	1.000	1.000	0.000	0.000	0.077	0.381	0.330	0.364	0.000
업종중분류	1.000	1.000	0.000	0.000	0.000	0.501	0.813	0.545	0.430
신규가맹점수	0.000	0.000	1.000	0.982	0.895	0.896	0.532	0.000	0.000
폐업가맹점수	0.000	0.000	0.982	1.000	0.910	0.918	0.497	0.000	0.000
매출가맹점수	0.077	0.000	0.895	0.910	1.000	0.807	0.541	0.000	0.000
카드매출금액	0.381	0.501	0.896	0.918	0.807	1.000	0.804	0.873	0.427
카드매출건수	0.330	0.813	0.532	0.497	0.541	0.804	1.000	0.763	0.000
점당매출금액	0.364	0.545	0.000	0.000	0.000	0.873	0.763	1.000	0.000
건당매출금액	0.000	0.430	0.000	0.000	0.000	0.427	0.000	0.000	1.000

Heatmap
Table

	신규가맹점수	폐업가맹점수	매출가맹점수	카드매출금액	카드매출건수	점당매출금액	건당매출금액	업종대분류
신규가맹점수	1.000	0.482	0.515	0.398	0.386	0.097	-0.072	0.000
폐업가맹점수	0.482	1.000	0.481	0.290	0.279	-0.052	-0.066	0.000
매출가맹점수	0.515	0.481	1.000	0.755	0.728	0.232	-0.085	0.027
카드매출금액	0.398	0.290	0.755	1.000	0.877	0.759	0.001	0.237
카드매출건수	0.386	0.279	0.728	0.877	1.000	0.620	-0.419	0.230
점당매출금액	0.097	-0.052	0.232	0.759	0.620	1.000	0.101	0.161
건당매출금액	-0.072	-0.066	-0.085	0.001	-0.419	0.101	1.000	0.000
업종대분류	0.000	0.000	0.027	0.237	0.230	0.161	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

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

First rows
Last rows

	광역시도명	시군구명	기준년월	업종대분류	업종중분류	업종소분류	신규가맹점수	폐업가맹점수	매출가맹점수	카드매출금액	카드매출건수	점당매출금액	건당매출금액
0	서울	용산구	202003	문화레져	동물	애완동물/용품	1	2	25	36703000	755	1468111	48613
1	서울	용산구	202003	문화레져	동물병원	병원-동물병원	0	0	28	190793000	2256	6814027	84571
2	서울	용산구	202003	문화레져	레져	골프장	0	0	2	5135000	180	2567500	28528
3	서울	용산구	202003	문화레져	레져	노래방	1	1	73	70572000	1855	966743	38044
4	서울	용산구	202003	문화레져	레져	당구장	0	0	39	26892000	1692	689535	15894
5	서울	용산구	202003	문화레져	레져	무술 도장	0	0	2	760000	4	380000	190000
6	서울	용산구	202003	문화레져	레져	볼링장	0	0	5	42419000	1348	8483835	31468
7	서울	용산구	202003	문화레져	레져	비디오감상실	1	1	3	394000	26	131333	15154
8	서울	용산구	202003	문화레져	레져	스포츠강습	0	0	9	9370000	338	1041150	27723
9	서울	용산구	202003	문화레져	레져	스포츠센터	7	0	98	222061000	707	2265933	314090

	광역시도명	시군구명	기준년월	업종대분류	업종중분류	업종소분류	신규가맹점수	폐업가맹점수	매출가맹점수	카드매출금액	카드매출건수	점당매출금액	건당매출금액
239	서울	용산구	202003	음식	식품	식료품	6	3	223	931750000	38519	4178250	24189
240	서울	용산구	202003	음식	식품	식자재	0	0	1	6077000	11	6077050	552459
241	서울	용산구	202003	음식	식품제조	떡/한과 제조	0	0	2	613000	54	306250	11343
242	서울	용산구	202003	음식	식품제조	식품 제조	0	0	26	31460000	1868	1209990	16841
243	서울	용산구	202003	음식	아시아음식	동남아/인도음식	1	0	16	50561000	2720	3160057	18589
244	서울	용산구	202003	음식	아시아음식	일식	4	4	201	787270000	20856	3916768	37748
245	서울	용산구	202003	음식	아시아음식	중식	2	1	117	583931000	20230	4990861	28865
246	서울	용산구	202003	음식	양식	기타세계요리	0	0	6	24598000	807	4099695	30481
247	서울	용산구	202003	음식	양식	스테이크	0	0	10	51946000	995	5194596	52207
248	서울	용산구	202003	음식	양식	패밀리 레스토랑	0	0	9	58385000	968	6487262	60315

Overview

Variables

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Interactions

Correlations

Missing values

Sample