gimi9 Pandas Profiling

Dataset statistics

Number of variables	12
Number of observations	10000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.1 MiB
Average record size in memory	113.0 B

Variable types

Numeric	9
Categorical	1
Text	2

Dataset

Description	기준_년분기_코드,자치구_코드,자치구_코드_명,서비스_업종_코드,서비스_업종_코드_명,점포_수,유사_업종_점포_수,개업_율,개업_점포_수,폐업_률,폐업_점포_수,프랜차이즈_점포_수
Author	서울신용보증재단
URL	https://data.seoul.go.kr/dataList/OA-22173/S/1/datasetView.do

Alerts

`자치구_코드` is highly overall correlated with `자치구_코드_명`	High correlation
`점포_수` is highly overall correlated with `유사_업종_점포_수` and 3 other fields	High correlation
`유사_업종_점포_수` is highly overall correlated with `점포_수` and 3 other fields	High correlation
`개업_율` is highly overall correlated with `개업_점포_수`	High correlation
`개업_점포_수` is highly overall correlated with `점포_수` and 4 other fields	High correlation
`폐업_률` is highly overall correlated with `폐업_점포_수`	High correlation
`폐업_점포_수` is highly overall correlated with `점포_수` and 4 other fields	High correlation
`프랜차이즈_점포_수` is highly overall correlated with `점포_수` and 3 other fields	High correlation
`자치구_코드_명` is highly overall correlated with `자치구_코드`	High correlation
`개업_율` has 2874 (28.7%) zeros	Zeros
`개업_점포_수` has 2869 (28.7%) zeros	Zeros
`폐업_률` has 2847 (28.5%) zeros	Zeros
`폐업_점포_수` has 2847 (28.5%) zeros	Zeros
`프랜차이즈_점포_수` has 4947 (49.5%) zeros	Zeros

Reproduction

Analysis started	2024-05-04 05:28:27.240419
Analysis finished	2024-05-04 05:28:53.360080
Duration	26.12 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

기준_년분기_코드
Real number (ℝ)

Distinct	20
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20212.607

Minimum	20191
Maximum	20234
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	20191
5-th percentile	20192
Q1	20202
median	20213
Q3	20224
95-th percentile	20233
Maximum	20234
Range	43
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	14.181501
Coefficient of variation (CV)	0.00070161663
Kurtosis	-1.283294
Mean	20212.607
Median Absolute Deviation (MAD)	11
Skewness	-0.012435812
Sum	2.0212606 × 10⁸
Variance	201.11497
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
20221	526	5.3%
20202	519	5.2%
20232	515	5.1%
20231	511	5.1%
20194	511	5.1%
20211	511	5.1%
20233	509	5.1%
20212	507	5.1%
20222	507	5.1%
20214	504	5.0%
Other values (10)	4880	48.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20191	484	4.8%
20192	495	5.0%
20193	502	5.0%
20194	511	5.1%
20201	474	4.7%
20202	519	5.2%
20203	502	5.0%
20204	461	4.6%
20211	511	5.1%
20212	507	5.1%

Value	Count	Frequency (%)
20234	488	4.9%
20233	509	5.1%
20232	515	5.1%
20231	511	5.1%
20224	486	4.9%
20223	492	4.9%
20222	507	5.1%
20221	526	5.3%
20214	504	5.0%
20213	496	5.0%

자치구_코드
Real number (ℝ)

HIGH CORRELATION

Distinct	25
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11420.37

Minimum	11110
Maximum	11740
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	11110
5-th percentile	11140
Q1	11260
median	11410
Q3	11560
95-th percentile	11710
Maximum	11740
Range	630
Interquartile range (IQR)	300

Descriptive statistics

Standard deviation	186.60982
Coefficient of variation (CV)	0.016340086
Kurtosis	-1.1982228
Mean	11420.37
Median Absolute Deviation (MAD)	150
Skewness	0.045632267
Sum	1.142037 × 10⁸
Variance	34823.223
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
11740	425	4.2%
11620	424	4.2%
11545	420	4.2%
11500	418	4.2%
11470	418	4.2%
11140	416	4.2%
11440	414	4.1%
11350	414	4.1%
11710	409	4.1%
11530	409	4.1%
Other values (15)	5833	58.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11110	389	3.9%
11140	416	4.2%
11170	381	3.8%
11200	399	4.0%
11215	371	3.7%
11230	407	4.1%
11260	390	3.9%
11290	364	3.6%
11305	356	3.6%
11320	399	4.0%

Value	Count	Frequency (%)
11740	425	4.2%
11710	409	4.1%
11680	395	4.0%
11650	404	4.0%
11620	424	4.2%
11590	382	3.8%
11560	402	4.0%
11545	420	4.2%
11530	409	4.1%
11500	418	4.2%

자치구_코드_명
Categorical

HIGH CORRELATION

Distinct	25
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

강동구	425
관악구	424
금천구	420
양천구	418
강서구	418
Other values (20)	7895

Length

Max length	4
Median length	3
Mean length	3.0797
Min length	2

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	중구
2nd row	서초구
3rd row	강북구
4th row	중구
5th row	강서구

Common Values

Value	Count	Frequency (%)
강동구	425	4.2%
관악구	424	4.2%
금천구	420	4.2%
양천구	418	4.2%
강서구	418	4.2%
중구	416	4.2%
노원구	414	4.1%
마포구	414	4.1%
구로구	409	4.1%
송파구	409	4.1%
Other values (15)	5833	58.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
강동구	425	4.2%
관악구	424	4.2%
금천구	420	4.2%
양천구	418	4.2%
강서구	418	4.2%
중구	416	4.2%
노원구	414	4.1%
마포구	414	4.1%
구로구	409	4.1%
송파구	409	4.1%
Other values (15)	5833	58.3%

서비스_업종_코드
Text

Distinct	100
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	80000
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CS300030
2nd row	CS300001
3rd row	CS300040
4th row	CS300030
5th row	CS100004

Value	Count	Frequency (%)
cs300029	127	1.3%
cs200029	124	1.2%
cs200024	116	1.2%
cs200040	115	1.1%
cs300040	115	1.1%
cs300024	115	1.1%
cs100009	114	1.1%
cs300018	113	1.1%
cs300039	113	1.1%
cs300009	112	1.1%
Other values (90)	8836	88.4%

Most occurring characters

Value	Count	Frequency (%)
0	33569	42.0%
C	10000	12.5%
S	10000	12.5%
2	7853	9.8%
3	7452	9.3%
1	4141	5.2%
4	2163	2.7%
5	1001	1.3%
6	974	1.2%
9	972	1.2%
Other values (2)	1875	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	60000	75.0%
Uppercase Letter	20000	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	33569	55.9%
2	7853	13.1%
3	7452	12.4%
1	4141	6.9%
4	2163	3.6%
5	1001	1.7%
6	974	1.6%
9	972	1.6%
7	962	1.6%
8	913	1.5%

Uppercase Letter

Value	Count	Frequency (%)
C	10000	50.0%
S	10000	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	60000	75.0%
Latin	20000	25.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	33569	55.9%
2	7853	13.1%
3	7452	12.4%
1	4141	6.9%
4	2163	3.6%
5	1001	1.7%
6	974	1.6%
9	972	1.6%
7	962	1.6%
8	913	1.5%

Latin

Value	Count	Frequency (%)
C	10000	50.0%
S	10000	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	80000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	33569	42.0%
C	10000	12.5%
S	10000	12.5%
2	7853	9.8%
3	7452	9.3%
1	4141	5.2%
4	2163	2.7%
5	1001	1.3%
6	974	1.2%
9	972	1.2%
Other values (2)	1875	2.3%

서비스_업종_코드_명
Text

Distinct	100
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	12
Median length	8
Mean length	4.4717
Min length	2

Characters and Unicode

Total characters	44717
Distinct characters	163
Distinct categories	5 ?
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	0 ?
Unique (%)	0.0%

Sample

1st row	중고가구
2nd row	슈퍼마켓
3rd row	재생용품 판매점
4th row	중고가구
5th row	양식음식점

Value	Count	Frequency (%)
애완동물	127	1.2%
네일숍	124	1.2%
스포츠클럽	116	1.1%
운동/경기용품	115	1.1%
녹음실	115	1.1%
재생용품	115	1.1%
판매점	115	1.1%
호프-간이주점	114	1.1%
의약품	113	1.1%
모터사이클및부품	113	1.1%
Other values (94)	9237	88.8%

Most occurring characters

Value	Count	Frequency (%)
사	1396	3.1%
점	1295	2.9%
품	1229	2.7%
기	920	2.1%
의	892	2.0%
원	875	2.0%
식	839	1.9%
무	807	1.8%
장	797	1.8%
소	777	1.7%
Other values (153)	34890	78.0%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	43447	97.2%
Uppercase Letter	458	1.0%
Space Separator	404	0.9%
Other Punctuation	213	0.5%
Dash Punctuation	195	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
사	1396	3.2%
점	1295	3.0%
품	1229	2.8%
기	920	2.1%
의	892	2.1%
원	875	2.0%
식	839	1.9%
무	807	1.9%
장	797	1.8%
소	777	1.8%
Other values (146)	33620	77.4%

Uppercase Letter

Value	Count	Frequency (%)
D	176	38.4%
C	97	21.2%
P	97	21.2%
V	88	19.2%

Space Separator

Value	Count	Frequency (%)
	404	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	213	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	195	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	43447	97.2%
Common	812	1.8%
Latin	458	1.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
사	1396	3.2%
점	1295	3.0%
품	1229	2.8%
기	920	2.1%
의	892	2.1%
원	875	2.0%
식	839	1.9%
무	807	1.9%
장	797	1.8%
소	777	1.8%
Other values (146)	33620	77.4%

Latin

Value	Count	Frequency (%)
D	176	38.4%
C	97	21.2%
P	97	21.2%
V	88	19.2%

Common

Value	Count	Frequency (%)
	404	49.8%
/	213	26.2%
-	195	24.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	43447	97.2%
ASCII	1270	2.8%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
사	1396	3.2%
점	1295	3.0%
품	1229	2.8%
기	920	2.1%
의	892	2.1%
원	875	2.0%
식	839	1.9%
무	807	1.9%
장	797	1.8%
소	777	1.8%
Other values (146)	33620	77.4%

ASCII

Value	Count	Frequency (%)
	404	31.8%
/	213	16.8%
-	195	15.4%
D	176	13.9%
C	97	7.6%
P	97	7.6%
V	88	6.9%

점포_수
Real number (ℝ)

HIGH CORRELATION

Distinct	1181
Distinct (%)	11.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	227.998

Minimum	0
Maximum	14593
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	36
median	98
Q3	208
95-th percentile	876
Maximum	14593
Range	14593
Interquartile range (IQR)	172

Descriptive statistics

Standard deviation	550.08698
Coefficient of variation (CV)	2.4126833
Kurtosis	275.86876
Mean	227.998
Median Absolute Deviation (MAD)	72
Skewness	12.801063
Sum	2279980
Variance	302595.68
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	98	1.0%
7	97	1.0%
9	95	0.9%
10	93	0.9%
18	90	0.9%
15	88	0.9%
8	87	0.9%
16	87	0.9%
14	83	0.8%
6	82	0.8%
Other values (1171)	9100	91.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	55	0.5%
2	74	0.7%
3	98	1.0%
4	80	0.8%
5	77	0.8%
6	82	0.8%
7	97	1.0%
8	87	0.9%
9	95	0.9%

Value	Count	Frequency (%)
14593	1	< 0.1%
14513	1	< 0.1%
14415	1	< 0.1%
14299	1	< 0.1%
13487	1	< 0.1%
13258	1	< 0.1%
12306	1	< 0.1%
4752	1	< 0.1%
4746	1	< 0.1%
4723	1	< 0.1%

유사_업종_점포_수
Real number (ℝ)

HIGH CORRELATION

Distinct	1220
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	245.7971

Minimum	0
Maximum	14615
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	38
median	107
Q3	233
95-th percentile	911.05
Maximum	14615
Range	14615
Interquartile range (IQR)	195

Descriptive statistics

Standard deviation	565.18865
Coefficient of variation (CV)	2.2994114
Kurtosis	248.92531
Mean	245.7971
Median Absolute Deviation (MAD)	82
Skewness	12.033928
Sum	2457971
Variance	319438.21
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	99	1.0%
3	97	1.0%
10	95	0.9%
9	94	0.9%
7	91	0.9%
15	90	0.9%
18	89	0.9%
13	84	0.8%
12	82	0.8%
5	81	0.8%
Other values (1210)	9098	91.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	54	0.5%
2	71	0.7%
3	97	1.0%
4	62	0.6%
5	81	0.8%
6	77	0.8%
7	91	0.9%
8	99	1.0%
9	94	0.9%

Value	Count	Frequency (%)
14615	1	< 0.1%
14534	1	< 0.1%
14437	1	< 0.1%
14321	1	< 0.1%
13505	1	< 0.1%
13276	1	< 0.1%
12324	1	< 0.1%
5290	1	< 0.1%
5133	1	< 0.1%
5066	1	< 0.1%

개업_율
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	169
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.71258

Minimum	0
Maximum	100
Zeros	2874
Zeros (%)	28.7%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	3.9
95-th percentile	8.1
Maximum	100
Range	100
Interquartile range (IQR)	3.9

Descriptive statistics

Standard deviation	3.595769
Coefficient of variation (CV)	1.32559
Kurtosis	91.514913
Mean	2.71258
Median Absolute Deviation (MAD)	2
Skewness	5.9666151
Sum	27125.8
Variance	12.929555
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	2874	28.7%
1.8	153	1.5%
1.3	151	1.5%
2.1	150	1.5%
2.0	149	1.5%
2.4	149	1.5%
2.7	146	1.5%
3.3	145	1.5%
1.2	144	1.4%
1.4	144	1.4%
Other values (159)	5795	58.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	2874	28.7%
0.1	38	0.4%
0.2	24	0.2%
0.3	34	0.3%
0.4	59	0.6%
0.5	76	0.8%
0.6	88	0.9%
0.7	108	1.1%
0.8	127	1.3%
0.9	125	1.2%

Value	Count	Frequency (%)
100.0	1	< 0.1%
66.7	1	< 0.1%
50.0	6	0.1%
40.0	2	< 0.1%
37.5	1	< 0.1%
33.3	8	0.1%
28.6	2	< 0.1%
27.8	1	< 0.1%
26.7	1	< 0.1%
25.0	4	< 0.1%

개업_점포_수
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	159
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.3428

Minimum	0
Maximum	506
Zeros	2869
Zeros (%)	28.7%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	6
95-th percentile	27
Maximum	506
Range	506
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	21.986906
Coefficient of variation (CV)	2.994349
Kurtosis	170.69242
Mean	7.3428
Median Absolute Deviation (MAD)	2
Skewness	10.894842
Sum	73428
Variance	483.42403
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2869	28.7%
1	1542	15.4%
2	1074	10.7%
3	709	7.1%
4	536	5.4%
5	431	4.3%
6	346	3.5%
7	301	3.0%
8	236	2.4%
9	186	1.9%
Other values (149)	1770	17.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2869	28.7%
1	1542	15.4%
2	1074	10.7%
3	709	7.1%
4	536	5.4%
5	431	4.3%
6	346	3.5%
7	301	3.0%
8	236	2.4%
9	186	1.9%

Value	Count	Frequency (%)
506	1	< 0.1%
495	1	< 0.1%
462	1	< 0.1%
429	1	< 0.1%
408	1	< 0.1%
396	1	< 0.1%
389	1	< 0.1%
387	1	< 0.1%
367	1	< 0.1%
361	1	< 0.1%

폐업_률
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	149
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.38499

Minimum	0
Maximum	100
Zeros	2847
Zeros (%)	28.5%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1.7
Q3	3.3
95-th percentile	6.8
Maximum	100
Range	100
Interquartile range (IQR)	3.3

Descriptive statistics

Standard deviation	3.5981329
Coefficient of variation (CV)	1.5086574
Kurtosis	194.08157
Mean	2.38499
Median Absolute Deviation (MAD)	1.7
Skewness	9.5971489
Sum	23849.9
Variance	12.94656
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	2847	28.5%
1.3	225	2.2%
1.4	200	2.0%
2.0	199	2.0%
1.6	191	1.9%
1.0	188	1.9%
1.2	184	1.8%
1.8	178	1.8%
1.9	171	1.7%
0.9	170	1.7%
Other values (139)	5447	54.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	2847	28.5%
0.1	1	< 0.1%
0.2	7	0.1%
0.3	13	0.1%
0.4	47	0.5%
0.5	81	0.8%
0.6	136	1.4%
0.7	143	1.4%
0.8	162	1.6%
0.9	170	1.7%

Value	Count	Frequency (%)
100.0	3	< 0.1%
50.0	7	0.1%
40.0	2	< 0.1%
33.3	8	0.1%
30.8	1	< 0.1%
30.0	1	< 0.1%
29.3	1	< 0.1%
28.6	1	< 0.1%
27.3	1	< 0.1%
26.7	1	< 0.1%

폐업_점포_수
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	128
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.1943

Minimum	0
Maximum	547
Zeros	2847
Zeros (%)	28.5%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	6
95-th percentile	24
Maximum	547
Range	547
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	16.048125
Coefficient of variation (CV)	2.590789
Kurtosis	241.79842
Mean	6.1943
Median Absolute Deviation (MAD)	2
Skewness	11.356613
Sum	61943
Variance	257.5423
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2847	28.5%
1	1663	16.6%
2	1113	11.1%
3	810	8.1%
4	528	5.3%
5	435	4.3%
6	329	3.3%
7	277	2.8%
9	191	1.9%
8	186	1.9%
Other values (118)	1621	16.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2847	28.5%
1	1663	16.6%
2	1113	11.1%
3	810	8.1%
4	528	5.3%
5	435	4.3%
6	329	3.3%
7	277	2.8%
8	186	1.9%
9	191	1.9%

Value	Count	Frequency (%)
547	1	< 0.1%
431	1	< 0.1%
333	1	< 0.1%
291	1	< 0.1%
276	1	< 0.1%
227	1	< 0.1%
223	1	< 0.1%
209	1	< 0.1%
208	1	< 0.1%
191	1	< 0.1%

프랜차이즈_점포_수
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	336
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.7991

Minimum	0
Maximum	940
Zeros	4947
Zeros (%)	49.5%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	6
95-th percentile	102
Maximum	940
Range	940
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	58.437478
Coefficient of variation (CV)	3.2831704
Kurtosis	52.529601
Mean	17.7991
Median Absolute Deviation (MAD)	1
Skewness	6.2162775
Sum	177991
Variance	3414.9388
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4947	49.5%
1	1136	11.4%
2	535	5.3%
3	375	3.8%
4	237	2.4%
5	176	1.8%
6	125	1.2%
7	110	1.1%
11	100	1.0%
8	97	1.0%
Other values (326)	2162	21.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4947	49.5%
1	1136	11.4%
2	535	5.3%
3	375	3.8%
4	237	2.4%
5	176	1.8%
6	125	1.2%
7	110	1.1%
8	97	1.0%
9	73	0.7%

Value	Count	Frequency (%)
940	1	< 0.1%
938	1	< 0.1%
897	1	< 0.1%
702	1	< 0.1%
692	1	< 0.1%
683	1	< 0.1%
680	1	< 0.1%
679	1	< 0.1%
673	1	< 0.1%
659	1	< 0.1%

Phik (φk)
Auto

Heatmap
Table

	기준_년분기_코드	자치구_코드	자치구_코드_명	서비스_업종_코드	서비스_업종_코드_명	점포_수	유사_업종_점포_수	개업_율	개업_점포_수	폐업_률	폐업_점포_수	프랜차이즈_점포_수
기준_년분기_코드	1.000	0.000	0.000	0.000	0.000	0.030	0.022	0.055	0.056	0.020	0.064	0.015
자치구_코드	0.000	1.000	1.000	0.000	0.000	0.111	0.114	0.000	0.062	0.035	0.050	0.105
자치구_코드_명	0.000	1.000	1.000	0.000	0.000	0.208	0.217	0.008	0.108	0.050	0.100	0.166
서비스_업종_코드	0.000	0.000	0.000	1.000	1.000	0.693	0.691	0.348	0.629	0.365	0.611	0.804
서비스_업종_코드_명	0.000	0.000	0.000	1.000	1.000	0.693	0.691	0.348	0.629	0.365	0.611	0.804
점포_수	0.030	0.111	0.208	0.693	0.693	1.000	0.999	0.000	0.594	0.000	0.832	0.331
유사_업종_점포_수	0.022	0.114	0.217	0.691	0.691	0.999	1.000	0.000	0.605	0.000	0.833	0.381
개업_율	0.055	0.000	0.008	0.348	0.348	0.000	0.000	1.000	0.146	0.179	0.000	0.000
개업_점포_수	0.056	0.062	0.108	0.629	0.629	0.594	0.605	0.146	1.000	0.000	0.710	0.374
폐업_률	0.020	0.035	0.050	0.365	0.365	0.000	0.000	0.179	0.000	1.000	0.000	0.000
폐업_점포_수	0.064	0.050	0.100	0.611	0.611	0.832	0.833	0.000	0.710	0.000	1.000	0.483
프랜차이즈_점포_수	0.015	0.105	0.166	0.804	0.804	0.331	0.381	0.000	0.374	0.000	0.483	1.000

Heatmap
Table

	기준_년분기_코드	자치구_코드	점포_수	유사_업종_점포_수	개업_율	개업_점포_수	폐업_률	폐업_점포_수	프랜차이즈_점포_수	자치구_코드_명
기준_년분기_코드	1.000	0.014	0.017	0.018	-0.217	-0.143	-0.021	-0.004	0.010	0.000
자치구_코드	0.014	1.000	0.131	0.134	0.055	0.112	0.034	0.101	0.080	0.999
점포_수	0.017	0.131	1.000	0.967	0.292	0.729	0.321	0.775	0.536	0.094
유사_업종_점포_수	0.018	0.134	0.967	1.000	0.324	0.777	0.356	0.823	0.626	0.099
개업_율	-0.217	0.055	0.292	0.324	1.000	0.776	0.323	0.378	0.355	0.007
개업_점포_수	-0.143	0.112	0.729	0.777	0.776	1.000	0.403	0.736	0.617	0.038
폐업_률	-0.021	0.034	0.321	0.356	0.323	0.403	1.000	0.758	0.403	0.020
폐업_점포_수	-0.004	0.101	0.775	0.823	0.378	0.736	0.758	1.000	0.642	0.038
프랜차이즈_점포_수	0.010	0.080	0.536	0.626	0.355	0.617	0.403	0.642	1.000	0.064
자치구_코드_명	0.000	0.999	0.094	0.099	0.007	0.038	0.020	0.038	0.064	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

	기준_년분기_코드	자치구_코드	자치구_코드_명	서비스_업종_코드	서비스_업종_코드_명	점포_수	유사_업종_점포_수	개업_율	개업_점포_수	폐업_률	폐업_점포_수	프랜차이즈_점포_수
22295	20214	11140	중구	CS300030	중고가구	20	20	0.0	0	5.0	1	0
27818	20211	11650	서초구	CS300001	슈퍼마켓	485	512	2.9	15	3.3	17	27
21587	20214	11305	강북구	CS300040	재생용품 판매점	18	18	0.0	0	5.6	1	0
34783	20203	11140	중구	CS300030	중고가구	22	22	0.0	0	4.5	1	0
3494	20233	11500	강서구	CS100004	양식음식점	259	295	6.1	18	5.4	16	36
24451	20213	11230	동대문구	CS200018	볼링장	4	4	0.0	0	0.0	0	0
3973	20233	11350	노원구	CS200015	세무사사무소	33	33	0.0	0	0.0	0	0
23824	20213	11380	은평구	CS300001	슈퍼마켓	425	436	3.2	14	3.7	16	11
27512	20211	11740	강동구	CS300007	육류판매	241	243	3.7	9	3.3	8	2
21479	20214	11350	노원구	CS100005	제과점	145	234	4.3	10	2.6	6	89

	기준_년분기_코드	자치구_코드	자치구_코드_명	서비스_업종_코드	서비스_업종_코드_명	점포_수	유사_업종_점포_수	개업_율	개업_점포_수	폐업_률	폐업_점포_수	프랜차이즈_점포_수
6655	20232	11305	강북구	CS200031	세탁소	107	134	2.2	3	1.5	2	27
48581	20191	11440	마포구	CS300015	가방	125	125	6.4	8	1.6	2	0
9060	20231	11320	도봉구	CS200024	스포츠클럽	50	53	0.0	0	0.0	0	3
1430	20234	11350	노원구	CS300013	유아의류	137	137	0.7	1	4.4	6	0
6450	20232	11350	노원구	CS200036	고시원	5	5	20.0	1	40.0	2	0
46111	20192	11440	마포구	CS200036	고시원	16	16	6.3	1	6.3	1	0
30216	20204	11680	강남구	CS300001	슈퍼마켓	869	922	2.6	24	2.5	23	53
31004	20204	11470	양천구	CS300013	유아의류	102	102	0.0	0	1.0	1	0
27270	20212	11170	용산구	CS100006	패스트푸드점	140	223	3.1	7	2.7	6	83
2962	20233	11620	관악구	CS200026	자동차미용	50	53	3.8	2	1.9	1	3

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Space Separator

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Latin

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Interactions

Correlations

Missing values

Sample