gimi9 Pandas Profiling

Dataset statistics

Number of variables	13
Number of observations	200
Missing cells	28
Missing cells (%)	1.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	21.6 KiB
Average record size in memory	110.7 B

Variable types

Text	5
Numeric	7
DateTime	1

Dataset

Description	Sample
Author	오픈메이트
URL	https://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=OPMSCREEN00000000006

Alerts

`SCREEN_CNT` is highly overall correlated with `SEAT_CNT`	High correlation
`SEAT_CNT` is highly overall correlated with `SCREEN_CNT`	High correlation
`HOUS_ID` is highly overall correlated with `BLD_CD`	High correlation
`BLD_CD` is highly overall correlated with `HOUS_ID`	High correlation
`REG_DATE` has 4 (2.0%) missing values	Missing
`BLD_CD` has 12 (6.0%) missing values	Missing
`ROAD_ADDR` has 12 (6.0%) missing values	Missing
`SCREEN_CD` has unique values	Unique
`SCREEN_NM` has unique values	Unique

Reproduction

Analysis started	2023-12-10 06:40:34.910142
Analysis finished	2023-12-10 06:41:00.250024
Duration	25.34 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

SCREEN_CD
Text

UNIQUE

Distinct	200
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

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

Characters and Unicode

Total characters	1200
Distinct characters	11
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	200 ?
Unique (%)	100.0%

Sample

1st row	S00083
2nd row	S00084
3rd row	S00085
4th row	S00086
5th row	S00088

Value	Count	Frequency (%)
s00083	1	0.5%
s00039	1	0.5%
s00052	1	0.5%
s00030	1	0.5%
s00031	1	0.5%
s00032	1	0.5%
s00033	1	0.5%
s00034	1	0.5%
s00035	1	0.5%
s00036	1	0.5%
Other values (190)	190	95.0%

Most occurring characters

Value	Count	Frequency (%)
0	526	43.8%
S	200	16.7%
1	126	10.5%
3	62	5.2%
7	46	3.8%
8	44	3.7%
6	41	3.4%
2	41	3.4%
4	40	3.3%
9	38	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1000	83.3%
Uppercase Letter	200	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	526	52.6%
1	126	12.6%
3	62	6.2%
7	46	4.6%
8	44	4.4%
6	41	4.1%
2	41	4.1%
4	40	4.0%
9	38	3.8%
5	36	3.6%

Uppercase Letter

Value	Count	Frequency (%)
S	200	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1000	83.3%
Latin	200	16.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	526	52.6%
1	126	12.6%
3	62	6.2%
7	46	4.6%
8	44	4.4%
6	41	4.1%
2	41	4.1%
4	40	4.0%
9	38	3.8%
5	36	3.6%

Latin

Value	Count	Frequency (%)
S	200	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	526	43.8%
S	200	16.7%
1	126	10.5%
3	62	5.2%
7	46	3.8%
8	44	3.7%
6	41	3.4%
2	41	3.4%
4	40	3.3%
9	38	3.2%

SCREEN_NM
Text

UNIQUE

Distinct	200
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	16
Median length	14
Mean length	8.255
Min length	4

Characters and Unicode

Total characters	1651
Distinct characters	227
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	200 ?
Unique (%)	100.0%

Sample

1st row	메가박스 상무
2nd row	메가박스 광주(충장로)
3rd row	메가박스 콜롬버스 하남
4th row	메가박스 남포항
5th row	메가박스 문경

Value	Count	Frequency (%)
메가박스	71	19.1%
롯데시네마	41	11.0%
cgv	36	9.7%
씨네큐	3	0.8%
조이앤시네마	2	0.5%
평촌	2	0.5%
포항	2	0.5%
원주	2	0.5%
수원	2	0.5%
인천	2	0.5%
Other values (199)	209	56.2%

Most occurring characters

Value	Count	Frequency (%)
	172	10.4%
스	94	5.7%
가	85	5.1%
박	83	5.0%
메	82	5.0%
시	67	4.1%
네	62	3.8%
마	59	3.6%
롯	43	2.6%
데	43	2.6%
Other values (217)	861	52.2%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	1340	81.2%
Space Separator	172	10.4%
Uppercase Letter	110	6.7%
Open Punctuation	14	0.8%
Close Punctuation	14	0.8%
Decimal Number	1	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
스	94	7.0%
가	85	6.3%
박	83	6.2%
메	82	6.1%
시	67	5.0%
네	62	4.6%
마	59	4.4%
롯	43	3.2%
데	43	3.2%
주	32	2.4%
Other values (209)	690	51.5%

Uppercase Letter

Value	Count	Frequency (%)
V	36	32.7%
G	36	32.7%
C	36	32.7%
M	2	1.8%

Space Separator

Value	Count	Frequency (%)
	172	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	14	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	14	100.0%

Decimal Number

Value	Count	Frequency (%)
1	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	1340	81.2%
Common	201	12.2%
Latin	110	6.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
스	94	7.0%
가	85	6.3%
박	83	6.2%
메	82	6.1%
시	67	5.0%
네	62	4.6%
마	59	4.4%
롯	43	3.2%
데	43	3.2%
주	32	2.4%
Other values (209)	690	51.5%

Common

Value	Count	Frequency (%)
	172	85.6%
(	14	7.0%
)	14	7.0%
1	1	0.5%

Latin

Value	Count	Frequency (%)
V	36	32.7%
G	36	32.7%
C	36	32.7%
M	2	1.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	1340	81.2%
ASCII	311	18.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	172	55.3%
V	36	11.6%
G	36	11.6%
C	36	11.6%
(	14	4.5%
)	14	4.5%
M	2	0.6%
1	1	0.3%

Hangul

Value	Count	Frequency (%)
스	94	7.0%
가	85	6.3%
박	83	6.2%
메	82	6.1%
시	67	5.0%
네	62	4.6%
마	59	4.4%
롯	43	3.2%
데	43	3.2%
주	32	2.4%
Other values (209)	690	51.5%

X_AXIS
Real number (ℝ)

Distinct	196
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	350403.66

Minimum	252297
Maximum	526767
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	252297
5-th percentile	279368.8
Q1	298097.5
median	318540.5
Q3	395850.75
95-th percentile	507536.25
Maximum	526767
Range	274470
Interquartile range (IQR)	97753.25

Descriptive statistics

Standard deviation	75115.369
Coefficient of variation (CV)	0.21436811
Kurtosis	-0.14156799
Mean	350403.66
Median Absolute Deviation (MAD)	27796.5
Skewness	1.1012631
Sum	70080731
Variance	5.6423186 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
278486	2	1.0%
324532	2	1.0%
322690	2	1.0%
310136	2	1.0%
419060	1	0.5%
350217	1	0.5%
313749	1	0.5%
502861	1	0.5%
301997	1	0.5%
523339	1	0.5%
Other values (186)	186	93.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
252297	1	0.5%
255599	1	0.5%
256168	1	0.5%
264341	1	0.5%
267442	1	0.5%
269056	1	0.5%
273694	1	0.5%
278486	2	1.0%
278795	1	0.5%
279399	1	0.5%

Value	Count	Frequency (%)
526767	1	0.5%
523339	1	0.5%
523096	1	0.5%
523019	1	0.5%
521604	1	0.5%
521532	1	0.5%
519968	1	0.5%
519905	1	0.5%
516816	1	0.5%
509764	1	0.5%

Y_AXIS
Real number (ℝ)

Distinct	197
Distinct (%)	98.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	460144.65

Minimum	100392
Maximum	620844
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	100392
5-th percentile	283648.8
Q1	363641.5
median	519280.5
Q3	549659.5
95-th percentile	568769.2
Maximum	620844
Range	520452
Interquartile range (IQR)	186018

Descriptive statistics

Standard deviation	111285.15
Coefficient of variation (CV)	0.24184818
Kurtosis	-0.38856787
Mean	460144.65
Median Absolute Deviation (MAD)	44449
Skewness	-0.83066814
Sum	92028930
Variance	1.2384384 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
358245	2	1.0%
478112	2	1.0%
542982	2	1.0%
284527	1	0.5%
393185	1	0.5%
545563	1	0.5%
547203	1	0.5%
286377	1	0.5%
283649	1	0.5%
379691	1	0.5%
Other values (187)	187	93.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
100392	1	0.5%
103609	1	0.5%
239038	1	0.5%
244606	1	0.5%
246041	1	0.5%
246572	1	0.5%
261225	1	0.5%
276669	1	0.5%
278238	1	0.5%
283645	1	0.5%

Value	Count	Frequency (%)
620844	1	0.5%
613377	1	0.5%
584907	1	0.5%
583135	1	0.5%
577370	1	0.5%
574305	1	0.5%
571862	1	0.5%
571701	1	0.5%
569635	1	0.5%
569210	1	0.5%

BLK_CD
Real number (ℝ)

Distinct	196
Distinct (%)	98.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	299145.1

Minimum	1060
Maximum	519208
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1060
5-th percentile	41649.6
Q1	143815
median	332378.5
Q3	432144.75
95-th percentile	507970.4
Maximum	519208
Range	518148
Interquartile range (IQR)	288329.75

Descriptive statistics

Standard deviation	158710.94
Coefficient of variation (CV)	0.53054836
Kurtosis	-1.3490534
Mean	299145.1
Median Absolute Deviation (MAD)	132572
Skewness	-0.28701963
Sum	59829021
Variance	2.5189164 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
115136	2	1.0%
421048	2	1.0%
43804	2	1.0%
504619	2	1.0%
223740	1	0.5%
347714	1	0.5%
418397	1	0.5%
24500	1	0.5%
481850	1	0.5%
109492	1	0.5%
Other values (186)	186	93.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1060	1	0.5%
7657	1	0.5%
17031	1	0.5%
19061	1	0.5%
24025	1	0.5%
24500	1	0.5%
30189	1	0.5%
30761	1	0.5%
33592	1	0.5%
40388	1	0.5%

Value	Count	Frequency (%)
519208	1	0.5%
518577	1	0.5%
512391	1	0.5%
510456	1	0.5%
509409	1	0.5%
509303	1	0.5%
509114	1	0.5%
509035	1	0.5%
508309	1	0.5%
508149	1	0.5%

ADDRESS
Text

Distinct	199
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	48
Median length	38
Mean length	27.3
Min length	16

Characters and Unicode

Total characters	5460
Distinct characters	289
Distinct categories	9 ?
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	198 ?
Unique (%)	99.0%

Sample

1st row	광주광역시 서구 치평동 1223-3 번지 4
2nd row	광주광역시 동구 불로동 1-21 번지
3rd row	광주광역시 광산구 우산동 1587-1
4th row	경상북도 포항시 남구 오천읍 1134 번지
5th row	경상북도 문경시 모전동 859-2 번지 모전동 홈플러스 문경점 1층

Value	Count	Frequency (%)
번지	182	14.4%
경기도	51	4.0%
서울특별시	35	2.8%
경상북도	15	1.2%
중구	13	1.0%
인천광역시	12	0.9%
경상남도	11	0.9%
서구	10	0.8%
3층	9	0.7%
충청남도	9	0.7%
Other values (641)	917	72.5%

Most occurring characters

Value	Count	Frequency (%)
	1064	19.5%
동	228	4.2%
1	224	4.1%
시	206	3.8%
지	201	3.7%
번	187	3.4%
구	148	2.7%
-	138	2.5%
도	117	2.1%
2	103	1.9%
Other values (279)	2844	52.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	3249	59.5%
Space Separator	1064	19.5%
Decimal Number	939	17.2%
Dash Punctuation	138	2.5%
Open Punctuation	19	0.3%
Close Punctuation	19	0.3%
Uppercase Letter	17	0.3%
Math Symbol	14	0.3%
Other Punctuation	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
동	228	7.0%
시	206	6.3%
지	201	6.2%
번	187	5.8%
구	148	4.6%
도	117	3.6%
층	89	2.7%
경	88	2.7%
서	65	2.0%
기	61	1.9%
Other values (255)	1859	57.2%

Decimal Number

Value	Count	Frequency (%)
1	224	23.9%
2	103	11.0%
5	87	9.3%
4	84	8.9%
3	82	8.7%
8	79	8.4%
6	74	7.9%
7	71	7.6%
0	70	7.5%
9	65	6.9%

Uppercase Letter

Value	Count	Frequency (%)
A	4	23.5%
C	3	17.6%
F	3	17.6%
B	3	17.6%
N	1	5.9%
V	1	5.9%
G	1	5.9%
U	1	5.9%

Space Separator

Value	Count	Frequency (%)
	1064	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	138	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	19	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	19	100.0%

Math Symbol

Value	Count	Frequency (%)
~	14	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	3249	59.5%
Common	2194	40.2%
Latin	17	0.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
동	228	7.0%
시	206	6.3%
지	201	6.2%
번	187	5.8%
구	148	4.6%
도	117	3.6%
층	89	2.7%
경	88	2.7%
서	65	2.0%
기	61	1.9%
Other values (255)	1859	57.2%

Common

Value	Count	Frequency (%)
	1064	48.5%
1	224	10.2%
-	138	6.3%
2	103	4.7%
5	87	4.0%
4	84	3.8%
3	82	3.7%
8	79	3.6%
6	74	3.4%
7	71	3.2%
Other values (6)	188	8.6%

Latin

Value	Count	Frequency (%)
A	4	23.5%
C	3	17.6%
F	3	17.6%
B	3	17.6%
N	1	5.9%
V	1	5.9%
G	1	5.9%
U	1	5.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	3249	59.5%
ASCII	2211	40.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1064	48.1%
1	224	10.1%
-	138	6.2%
2	103	4.7%
5	87	3.9%
4	84	3.8%
3	82	3.7%
8	79	3.6%
6	74	3.3%
7	71	3.2%
Other values (14)	205	9.3%

Hangul

Value	Count	Frequency (%)
동	228	7.0%
시	206	6.3%
지	201	6.2%
번	187	5.8%
구	148	4.6%
도	117	3.6%
층	89	2.7%
경	88	2.7%
서	65	2.0%
기	61	1.9%
Other values (255)	1859	57.2%

REG_DATE
Date

MISSING

Distinct	184
Distinct (%)	93.9%
Missing	4
Missing (%)	2.0%
Memory size	1.7 KiB

Minimum	1999-12-18 00:00:00
Maximum	2019-01-10 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

SCREEN_CNT
Real number (ℝ)

HIGH CORRELATION

Distinct	16
Distinct (%)	8.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.445

Minimum	1
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	5
median	7
Q3	8
95-th percentile	11
Maximum	19
Range	18
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.2433891
Coefficient of variation (CV)	0.50324113
Kurtosis	1.6236732
Mean	6.445
Median Absolute Deviation (MAD)	2
Skewness	0.50978825
Sum	1289
Variance	10.519573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
6	35	17.5%
8	34	17.0%
7	26	13.0%
1	20	10.0%
5	18	9.0%
9	18	9.0%
2	11	5.5%
10	8	4.0%
4	8	4.0%
3	7	3.5%
Other values (6)	15	7.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	20	10.0%
2	11	5.5%
3	7	3.5%
4	8	4.0%
5	18	9.0%
6	35	17.5%
7	26	13.0%
8	34	17.0%
9	18	9.0%
10	8	4.0%

Value	Count	Frequency (%)
19	1	0.5%
18	2	1.0%
14	2	1.0%
13	1	0.5%
12	3	1.5%
11	6	3.0%
10	8	4.0%
9	18	9.0%
8	34	17.0%
7	26	13.0%

SEAT_CNT
Real number (ℝ)

HIGH CORRELATION

Distinct	186
Distinct (%)	93.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1045.085

Minimum	30
Maximum	4560
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	30
5-th percentile	92.85
Q1	602
median	977
Q3	1371.75
95-th percentile	2195.45
Maximum	4560
Range	4530
Interquartile range (IQR)	769.75

Descriptive statistics

Standard deviation	737.49801
Coefficient of variation (CV)	0.70568232
Kurtosis	5.364498
Mean	1045.085
Median Absolute Deviation (MAD)	394
Skewness	1.6608692
Sum	209017
Variance	543903.31
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
680	3	1.5%
924	3	1.5%
1646	2	1.0%
1134	2	1.0%
663	2	1.0%
749	2	1.0%
851	2	1.0%
1104	2	1.0%
901	2	1.0%
1371	2	1.0%
Other values (176)	178	89.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	1	0.5%
35	1	0.5%
51	1	0.5%
59	1	0.5%
70	2	1.0%
76	1	0.5%
80	1	0.5%
87	1	0.5%
90	1	0.5%
93	1	0.5%

Value	Count	Frequency (%)
4560	1	0.5%
4537	1	0.5%
3779	1	0.5%
3601	1	0.5%
3047	1	0.5%
2841	1	0.5%
2784	1	0.5%
2487	1	0.5%
2367	1	0.5%
2280	1	0.5%

HOUS_ID
Real number (ℝ)

HIGH CORRELATION

Distinct	197
Distinct (%)	98.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4303072 × 10¹⁸

Minimum	1.1110121 × 10¹⁸
Maximum	5.0110114 × 10¹⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1.1110121 × 10¹⁸
5-th percentile	1.121286 × 10¹⁸
Q1	2.7140104 × 10¹⁸
median	4.1190109 × 10¹⁸
Q3	4.3114141 × 10¹⁸
95-th percentile	4.8125112 × 10¹⁸
Maximum	5.0110114 × 10¹⁸
Range	3.8999993 × 10¹⁸
Interquartile range (IQR)	1.5974036 × 10¹⁸

Descriptive statistics

Standard deviation	1.2738673 × 10¹⁸
Coefficient of variation (CV)	0.37135662
Kurtosis	-0.74094036
Mean	3.4303072 × 10¹⁸
Median Absolute Deviation (MAD)	5.9999935 × 10¹⁷
Skewness	-0.81960635
Sum	3.5319004 × 10¹⁸
Variance	1.6227378 × 10³⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4511111700002880002	2	1.0%
4427010100002510004	2	1.0%
1159010700001470053	2	1.0%
2914012000012230003	1	0.5%
4719010400000360000	1	0.5%
1153010200000030025	1	0.5%
1168010700005320001	1	0.5%
2635010500014670000	1	0.5%
2911011800000470001	1	0.5%
4711110200003030001	1	0.5%
Other values (187)	187	93.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1111012100000010181	1	0.5%
1111013700002840006	1	0.5%
1111015500000590007	1	0.5%
1114011500001300000	1	0.5%
1114013800000190001	1	0.5%
1114014800000180021	1	0.5%
1114015900000180005	1	0.5%
1114016500025450000	1	0.5%
1117012800000160009	1	0.5%
1117012800000400999	1	0.5%

Value	Count	Frequency (%)
5011011400014770008	1	0.5%
5011010400019870001	1	0.5%
4833010300006850006	1	0.5%
4824025024001110002	1	0.5%
4824011800010620000	1	0.5%
4817013700000350000	1	0.5%
4817013100007000001	1	0.5%
4812914000005430003	1	0.5%
4812515800000680000	1	0.5%
4812513300000040001	1	0.5%

BLD_CD
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	185
Distinct (%)	98.4%
Missing	12
Missing (%)	6.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4009021 × 10²⁴

Minimum	1.1110121 × 10²⁴
Maximum	5.0110114 × 10²⁴
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1.1110121 × 10²⁴
5-th percentile	1.1185871 × 10²⁴
Q1	2.7110136 × 10²⁴
median	4.1195105 × 10²⁴
Q3	4.3395354 × 10²⁴
95-th percentile	4.8124417 × 10²⁴
Maximum	5.0110114 × 10²⁴
Range	3.8999993 × 10²⁴
Interquartile range (IQR)	1.6285218 × 10²⁴

Descriptive statistics

Standard deviation	1.2999385 × 10²⁴
Coefficient of variation (CV)	0.38223342
Kurtosis	-0.86797063
Mean	3.4009021 × 10²⁴
Median Absolute Deviation (MAD)	6.0600065 × 10²³
Skewness	-0.76403197
Sum	6.393696 × 10²⁶
Variance	1.68984 × 10⁴⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.15901070010147e+24	2	1.0%
4.51111170010288e+24	2	1.0%
4.4830250211025105e+24	2	1.0%
1.12901030010538e+24	1	0.5%
1.13501050010727e+24	1	0.5%
1.15301020010003e+24	1	0.5%
1.16801070010532e+24	1	0.5%
2.63501050011467e+24	1	0.5%
2.91101180010047e+24	1	0.5%
4.7111102001030305e+24	1	0.5%
Other values (175)	175	87.5%
(Missing)	12	6.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.11101210010001e+24	1	0.5%
1.11101370010254e+24	1	0.5%
1.11101550010071e+24	1	0.5%
1.1140115001013e+24	1	0.5%
1.11401380010019e+24	1	0.5%
1.1140148001001802e+24	1	0.5%
1.11401590010018e+24	1	0.5%
1.11401650011871e+24	1	0.5%
1.11701280010016e+24	1	0.5%
1.1170128001004008e+24	1	0.5%

Value	Count	Frequency (%)
5.01101140011477e+24	1	0.5%
5.011010400119871e+24	1	0.5%
4.8330103001068494e+24	1	0.5%
4.8240250241011105e+24	1	0.5%
4.8170137001003506e+24	1	0.5%
4.817013100107e+24	1	0.5%
4.8129140001054305e+24	1	0.5%
4.81251580010068e+24	1	0.5%
4.81251330020004e+24	1	0.5%
4.81251110010268e+24	1	0.5%

HOUS_ADDR
Text

Distinct	197
Distinct (%)	98.5%
Missing	0
Missing (%)	0.0%
Memory size	1.7 KiB

Length

Max length	28
Median length	24
Mean length	20.96
Min length	15

Characters and Unicode

Total characters	4192
Distinct characters	180
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	194 ?
Unique (%)	97.0%

Sample

1st row	광주광역시 서구 치평동 1223-3번지
2nd row	광주광역시 동구 불로동 1-21번지
3rd row	광주광역시 광산구 우산동 1587-1번지
4th row	경상북도 포항시 남구 오천읍 원리 1134번지
5th row	경상북도 문경시 모전동 859-2번지

Value	Count	Frequency (%)
경기도	55	6.4%
서울특별시	37	4.3%
경상북도	15	1.7%
중구	13	1.5%
인천광역시	12	1.4%
경상남도	11	1.3%
서구	9	1.0%
부산광역시	9	1.0%
강원도	8	0.9%
충청남도	8	0.9%
Other values (494)	687	79.5%

Most occurring characters

Value	Count	Frequency (%)
	664	15.8%
지	203	4.8%
동	203	4.8%
번	200	4.8%
시	192	4.6%
1	186	4.4%
구	144	3.4%
-	136	3.2%
도	122	2.9%
2	93	2.2%
Other values (170)	2049	48.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2615	62.4%
Decimal Number	777	18.5%
Space Separator	664	15.8%
Dash Punctuation	136	3.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
지	203	7.8%
동	203	7.8%
번	200	7.6%
시	192	7.3%
구	144	5.5%
도	122	4.7%
경	85	3.3%
서	65	2.5%
기	58	2.2%
남	55	2.1%
Other values (158)	1288	49.3%

Decimal Number

Value	Count	Frequency (%)
1	186	23.9%
2	93	12.0%
5	76	9.8%
8	68	8.8%
3	65	8.4%
4	64	8.2%
0	58	7.5%
6	58	7.5%
7	55	7.1%
9	54	6.9%

Space Separator

Value	Count	Frequency (%)
	664	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	136	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2615	62.4%
Common	1577	37.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
지	203	7.8%
동	203	7.8%
번	200	7.6%
시	192	7.3%
구	144	5.5%
도	122	4.7%
경	85	3.3%
서	65	2.5%
기	58	2.2%
남	55	2.1%
Other values (158)	1288	49.3%

Common

Value	Count	Frequency (%)
	664	42.1%
1	186	11.8%
-	136	8.6%
2	93	5.9%
5	76	4.8%
8	68	4.3%
3	65	4.1%
4	64	4.1%
0	58	3.7%
6	58	3.7%
Other values (2)	109	6.9%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2615	62.4%
ASCII	1577	37.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	664	42.1%
1	186	11.8%
-	136	8.6%
2	93	5.9%
5	76	4.8%
8	68	4.3%
3	65	4.1%
4	64	4.1%
0	58	3.7%
6	58	3.7%
Other values (2)	109	6.9%

Hangul

Value	Count	Frequency (%)
지	203	7.8%
동	203	7.8%
번	200	7.6%
시	192	7.3%
구	144	5.5%
도	122	4.7%
경	85	3.3%
서	65	2.5%
기	58	2.2%
남	55	2.1%
Other values (158)	1288	49.3%

ROAD_ADDR
Text

MISSING

Distinct	185
Distinct (%)	98.4%
Missing	12
Missing (%)	6.0%
Memory size	1.7 KiB

Length

Max length	27
Median length	23
Mean length	18.345745
Min length	13

Characters and Unicode

Total characters	3449
Distinct characters	210
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

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

Unique

Unique	182 ?
Unique (%)	96.8%

Sample

1st row	광주광역시 서구 시청로60번길 21-6
2nd row	광주광역시 동구 중앙로160번길 16-7
3rd row	광주광역시 광산구 풍영철길로 15
4th row	경상북도 포항시 남구 오천읍 하원로47번길 9
5th row	경상북도 문경시 모전로 65

Value	Count	Frequency (%)
경기도	51	6.3%
서울특별시	37	4.6%
경상북도	15	1.8%
중구	13	1.6%
인천광역시	11	1.4%
경상남도	10	1.2%
서구	9	1.1%
충청남도	8	1.0%
부산광역시	8	1.0%
광주광역시	7	0.9%
Other values (434)	643	79.2%

Most occurring characters

Value	Count	Frequency (%)
	624	18.1%
시	186	5.4%
로	173	5.0%
구	139	4.0%
1	116	3.4%
도	114	3.3%
경	87	2.5%
2	67	1.9%
서	64	1.9%
0	57	1.7%
Other values (200)	1822	52.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2250	65.2%
Space Separator	624	18.1%
Decimal Number	561	16.3%
Dash Punctuation	14	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
시	186	8.3%
로	173	7.7%
구	139	6.2%
도	114	5.1%
경	87	3.9%
서	64	2.8%
기	56	2.5%
대	55	2.4%
광	55	2.4%
산	48	2.1%
Other values (188)	1273	56.6%

Decimal Number

Value	Count	Frequency (%)
1	116	20.7%
2	67	11.9%
0	57	10.2%
4	56	10.0%
3	50	8.9%
7	48	8.6%
5	47	8.4%
6	41	7.3%
8	40	7.1%
9	39	7.0%

Space Separator

Value	Count	Frequency (%)
	624	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	2250	65.2%
Common	1199	34.8%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
시	186	8.3%
로	173	7.7%
구	139	6.2%
도	114	5.1%
경	87	3.9%
서	64	2.8%
기	56	2.5%
대	55	2.4%
광	55	2.4%
산	48	2.1%
Other values (188)	1273	56.6%

Common

Value	Count	Frequency (%)
	624	52.0%
1	116	9.7%
2	67	5.6%
0	57	4.8%
4	56	4.7%
3	50	4.2%
7	48	4.0%
5	47	3.9%
6	41	3.4%
8	40	3.3%
Other values (2)	53	4.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	2250	65.2%
ASCII	1199	34.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	624	52.0%
1	116	9.7%
2	67	5.6%
0	57	4.8%
4	56	4.7%
3	50	4.2%
7	48	4.0%
5	47	3.9%
6	41	3.4%
8	40	3.3%
Other values (2)	53	4.4%

Hangul

Value	Count	Frequency (%)
시	186	8.3%
로	173	7.7%
구	139	6.2%
도	114	5.1%
경	87	3.9%
서	64	2.8%
기	56	2.5%
대	55	2.4%
광	55	2.4%
산	48	2.1%
Other values (188)	1273	56.6%

Phik (φk)
Auto

Heatmap
Table

	X_AXIS	Y_AXIS	BLK_CD	SCREEN_CNT	SEAT_CNT	HOUS_ID	BLD_CD
X_AXIS	1.000	0.734	0.618	0.000	0.000	0.736	0.750
Y_AXIS	0.734	1.000	0.432	0.000	0.000	0.755	0.756
BLK_CD	0.618	0.432	1.000	0.238	0.194	0.534	0.560
SCREEN_CNT	0.000	0.000	0.238	1.000	0.849	0.212	0.219
SEAT_CNT	0.000	0.000	0.194	0.849	1.000	0.289	0.334
HOUS_ID	0.736	0.755	0.534	0.212	0.289	1.000	1.000
BLD_CD	0.750	0.756	0.560	0.219	0.334	1.000	1.000

Heatmap
Table

	X_AXIS	Y_AXIS	BLK_CD	SCREEN_CNT	SEAT_CNT	HOUS_ID	BLD_CD
X_AXIS	1.000	-0.429	-0.078	0.035	-0.002	0.223	0.217
Y_AXIS	-0.429	1.000	0.096	-0.006	0.021	-0.391	-0.407
BLK_CD	-0.078	0.096	1.000	0.089	0.119	-0.041	-0.055
SCREEN_CNT	0.035	-0.006	0.089	1.000	0.887	-0.181	-0.168
SEAT_CNT	-0.002	0.021	0.119	0.887	1.000	-0.205	-0.193
HOUS_ID	0.223	-0.391	-0.041	-0.181	-0.205	1.000	0.996
BLD_CD	0.217	-0.407	-0.055	-0.168	-0.193	0.996	1.000

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.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	SCREEN_CD	SCREEN_NM	X_AXIS	Y_AXIS	BLK_CD	ADDRESS	REG_DATE	SCREEN_CNT	SEAT_CNT	HOUS_ID	BLD_CD	HOUS_ADDR	ROAD_ADDR
0	S00083	메가박스 상무	295822	284527	108971	광주광역시 서구 치평동 1223-3 번지 4	2007-08-13	10	1646	2914012000012230003	2914012000112230004026222	광주광역시 서구 치평동 1223-3번지	광주광역시 서구 시청로60번길 21-6
1	S00084	메가박스 광주(충장로)	301303	283645	109423	광주광역시 동구 불로동 1-21 번지	2006-01-26	9	1646	2911011600000010021	2911011600100010021007157	광주광역시 동구 불로동 1-21번지	광주광역시 동구 중앙로160번길 16-7
2	S00085	메가박스 콜롬버스 하남	291939	285536	489985	광주광역시 광산구 우산동 1587-1	2007-08-13	10	918	2920010900015870001	2920010900115870001045107	광주광역시 광산구 우산동 1587-1번지	광주광역시 광산구 풍영철길로 15
3	S00086	메가박스 남포항	526767	375842	460952	경상북도 포항시 남구 오천읍 1134 번지	2017-09-26	6	663	4711125621011340000	4711125621111340000000001	경상북도 포항시 남구 오천읍 원리 1134번지	경상북도 포항시 남구 오천읍 하원로47번길 9
4	S00088	메가박스 문경	417231	442941	335265	경상북도 문경시 모전동 859-2 번지 모전동 홈플러스 문경점 1층	2015-09-24	3	259	4728011000008590002	4728011000108590002000001	경상북도 문경시 모전동 859-2번지	경상북도 문경시 모전로 65
5	S00089	메가박스 김천	410168	391669	161940	경상북도 김천시 평화동 245-82 번지 한일빌딩 4-7층	2006-07-01	4	851	4715010500002450082	4715010500102450082006300	경상북도 김천시 평화동 245-82번지	경상북도 김천시 김천로 74
6	S00091	메가박스 창원	461710	291586	243728	경상남도 창원시 성산구 중앙동 99-1 번지	2005-07-02	7	1104	4812312500000990001	4812312500100990001002250	경상남도 창원시 성산구 중앙동 99-1번지	경상남도 창원시 성산구 용지로 58
7	S00092	메가박스 마산	451549	287140	331681	경상남도 창원시 마산합포구 해운동 68 번지 해운동 유로스퀘어 6~7층	2018-01-31	6	1043	4812515800000680000	4812515800100680000043262	경상남도 창원시 마산합포구 해운동 68번지	경상남도 창원시 마산합포구 해안대로 51
8	S00093	메가박스양산	493548	304832	479532	경상남도 양산시 중부동 685-6 번지	2017-05-01	6	933	4833010300006850006	4833010300106850006001992	경상남도 양산시 중부동 685-6번지	경상남도 양산시 강변로 440
9	S00094	메가박스 삼천포	403657	261225	346683	경상남도 사천시 실안동 1062 번지	2017-07-19	3	90	4824011800010620000	<NA>	경상남도 사천시 실안동 1062번지	<NA>

	SCREEN_CD	SCREEN_NM	X_AXIS	Y_AXIS	BLK_CD	ADDRESS	REG_DATE	SCREEN_CNT	SEAT_CNT	HOUS_ID	BLD_CD	HOUS_ADDR	ROAD_ADDR
190	S00376	CGV 소풍	290269	545388	92488	경기도 부천시 원미구 상동 539-1 번지 소풍6층 7층	2013-07-01	11	1773	4119010900005390001	4119510900105390001046375	경기도 부천시 상동 539-1번지	경기도 부천시 송내대로 239
191	S00377	CGV 역곡	295053	543143	132866	경기 부천시 소사구 괴안동 107~122 113-1 2역곡하이뷰 6층~8층	2005-12-28	6	846	4119011300001130001	4119710400101130001036074	경기도 부천시 괴안동 113-1번지	경기도 부천시 경인로 505
192	S00378	CGV 부천역	292392	543332	136242	경기도 부천시 원미구 심곡동 383-1 번지 심곡동 시네마존 6층~8층	2014-06-05	8	1204	4119010200003830001	4119510200103830004039601	경기도 부천시 심곡동 383-1번지	경기도 부천시 부일로 460
193	S00379	CGV 부천	290745	545401	117900	경기도 부천시 원미구 중동 1164 번지 로담코플라자 5층	2003-08-19	8	1450	4119010800011640000	4119510800111640000008338	경기도 부천시 중동 1164번지	경기도 부천시 길주로 180
194	S00380	CGV 일산	291845	562213	408661	경기도 고양시 일산동구 장항동 868 번지 (장항동 웨스턴돔 3층)	2007-03-28	9	1794	4128510400008680000	4128510400108670000001233	경기도 고양시 일산동구 장항동 868번지	경기도 고양시 일산동구 정발산로 24
195	S00381	CGV 세종	332801	433799	512391	세종특별자치시 종촌동 580-2 번지	2015-11-30	7	1094	3611011100005800002	<NA>	세종특별자치시 종촌동 580-2번지	<NA>
196	S00382	CGV 울산삼산	521604	327701	275707	울산광역시 남구 삼산동 1569-1 번지 업스퀘어 5층	2013-05-01	11	2487	3114010600015690001	3114010600115690001000001	울산광역시 남구 삼산동 1569-1번지	울산광역시 남구 화합로 185
197	S00383	CGV 대전	347112	413496	457728	대전광역시 중구 문화동 1-16 번지 세이백화점 별관 6층	2001-08-18	9	1880	3014011600000010016	3014011600100010226010055	대전광역시 중구 문화동 1-16번지	대전광역시 중구 계백로 1700
198	S00384	CGV 대전탄방	345338	416437	115136	대전광역시 서구 탄방동 744 번지 세이탄방점 7층	2016-05-26	6	970	3017010600007440000	3017010600107450000024396	대전광역시 서구 탄방동 744번지	대전광역시 서구 문정로 85
199	S00385	CGV 광주상무	295513	284539	108970	광주광역시 서구 치평동 1218-1 번지 치평동 6층	2014-06-05	10	1610	2914012000012180001	2914012000112180001026615	광주광역시 서구 치평동 1218-1번지	광주광역시 서구 시청로 67

Overview

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Most occurring characters

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Decimal Number

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Common

Latin

Most occurring blocks

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ASCII

Most occurring characters

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Most frequent character per category

Other Letter

Uppercase Letter

Space Separator

Open Punctuation

Close Punctuation

Decimal Number

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

Decimal Number

Uppercase Letter

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Math Symbol

Other 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

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks