Overview

Dataset statistics

Number of variables35
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory282.6 B

Variable types

Text1
Boolean34

Alerts

CHONGQING_AT has constant value ""Constant
SHOPNG_KND_INCLN_UNIFRM_AT has constant value ""Constant
SHOPNG_KND_INCLN_OTDR_AT has constant value ""Constant
SHOPNG_KND_INCLN_SKIN_SUPLI_AT has constant value ""Constant
SHOPNG_KND_INCLN_NTDS_AT has constant value ""Constant
SHOPNG_KND_INCLN_MKUP_AT has constant value ""Constant
SHOPNG_KND_INCLN_WTC_ACSRY_AT has constant value ""Constant
SHOPNG_KND_INCLN_HEALTH_AT has constant value ""Constant
SHOPNG_KND_INCLN_BOOK_MSRC_AT has constant value ""Constant
SHOPNG_KND_INCLN_HMELT_AT has constant value ""Constant
SHOPNG_KND_INCLN_INFANT_AT has constant value ""Constant
SHOPNG_KND_INCLN_CLEANSER_AT has constant value ""Constant
SHOPNG_KND_INCLN_FRESH_FOOD_AT has constant value ""Constant
SHOPNG_KND_INCLN_ACSRY_AT has constant value ""Constant
SHOPNG_KND_INCLN_MOBILE_TLPHON_AT has constant value ""Constant
SHOPNG_KND_INCLN_CAR_AT has constant value ""Constant
BEIJING_AT is highly imbalanced (59.8%)Imbalance
TIANJIN_AT is highly imbalanced (53.1%)Imbalance
GUANGZHOU_AT is highly imbalanced (59.8%)Imbalance
SHOPNG_KND_INCLN_3C_AT is highly imbalanced (85.9%)Imbalance
SHOPNG_KND_INCLN_INFANT_SUPLI_AT is highly imbalanced (85.9%)Imbalance
SHOPNG_KND_INCLN_UDWE_AT is highly imbalanced (85.9%)Imbalance
SHOPNG_KND_INCLN_FOOD_AT is highly imbalanced (67.3%)Imbalance
SHOPNG_KND_INCLN_BAG_AT is highly imbalanced (85.9%)Imbalance
SHOPNG_KND_INCLN_FTWR_AT is highly imbalanced (85.9%)Imbalance
SHOPNG_KND_INCLN_FEMALE_SUPLI_AT is highly imbalanced (85.9%)Imbalance
SHOPNG_KND_INCLN_ELECT_TOOL_AT is highly imbalanced (85.9%)Imbalance
SHOPNG_KND_INCLN_MALE_SUPLI_AT is highly imbalanced (85.9%)Imbalance
SHOPNG_KND_INCLN_DPST_AT is highly imbalanced (85.9%)Imbalance
SHOPNG_KND_INCLN_BTY_AT is highly imbalanced (85.9%)Imbalance
SHOPNG_KND_INCLN_CAR_SUPLI_AT is highly imbalanced (85.9%)Imbalance
SHOPNG_KND_INCLN_SPORTS_AT is highly imbalanced (85.9%)Imbalance
USER_KEY_NM has unique valuesUnique

Reproduction

Analysis started2023-12-10 09:46:55.648195
Analysis finished2023-12-10 09:46:55.995031
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

USER_KEY_NM
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-10T18:46:56.340813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1800
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row6fcf9261-5cbc-4987-9272-9b7723b240fa
2nd rowdd8cdd14-10fc-449a-a2ee-0ed850d8599f
3rd row5921de01-1160-4f69-9567-42fb6a812102
4th row1f2b30a6-d789-4f35-953c-2c56fec2e7dd
5th roweca09900-8bf7-4321-a837-d9e5eba3ed6f
ValueCountFrequency (%)
6fcf9261-5cbc-4987-9272-9b7723b240fa 1
 
2.0%
53053729-2af1-40ef-9856-23389d4bcc69 1
 
2.0%
27439913-05cc-40cc-9187-89135cec1ff6 1
 
2.0%
2310e815-635f-420a-8d17-6a1c783d4a1a 1
 
2.0%
4f6c9fab-9be2-4431-8ac6-b15daa6f167f 1
 
2.0%
fba7d2dd-5f8c-4a2e-b400-582a89b7104d 1
 
2.0%
b1d2f327-b256-42a1-baad-d4f03b6b9de8 1
 
2.0%
00c34a83-3b7b-4f6c-81bf-dc2e30bb90a4 1
 
2.0%
3940d09c-7921-4385-8313-80eb672c9f37 1
 
2.0%
40381858-8fd6-4b45-b042-fe350bca22f5 1
 
2.0%
Other values (40) 40
80.0%
2023-12-10T18:46:57.057537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 200
 
11.1%
4 128
 
7.1%
9 118
 
6.6%
f 116
 
6.4%
a 110
 
6.1%
2 108
 
6.0%
c 107
 
5.9%
b 102
 
5.7%
8 100
 
5.6%
0 99
 
5.5%
Other values (7) 612
34.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 987
54.8%
Lowercase Letter 613
34.1%
Dash Punctuation 200
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 128
13.0%
9 118
12.0%
2 108
10.9%
8 100
10.1%
0 99
10.0%
3 96
9.7%
1 96
9.7%
7 89
9.0%
6 77
7.8%
5 76
7.7%
Lowercase Letter
ValueCountFrequency (%)
f 116
18.9%
a 110
17.9%
c 107
17.5%
b 102
16.6%
d 96
15.7%
e 82
13.4%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1187
65.9%
Latin 613
34.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 200
16.8%
4 128
10.8%
9 118
9.9%
2 108
9.1%
8 100
8.4%
0 99
8.3%
3 96
8.1%
1 96
8.1%
7 89
7.5%
6 77
 
6.5%
Latin
ValueCountFrequency (%)
f 116
18.9%
a 110
17.9%
c 107
17.5%
b 102
16.6%
d 96
15.7%
e 82
13.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 200
 
11.1%
4 128
 
7.1%
9 118
 
6.6%
f 116
 
6.4%
a 110
 
6.1%
2 108
 
6.0%
c 107
 
5.9%
b 102
 
5.7%
8 100
 
5.6%
0 99
 
5.5%
Other values (7) 612
34.0%

BEIJING_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
46 
True
 
4
ValueCountFrequency (%)
False 46
92.0%
True 4
 
8.0%
2023-12-10T18:46:57.294980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

TIANJIN_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
45 
True
5 
ValueCountFrequency (%)
False 45
90.0%
True 5
 
10.0%
2023-12-10T18:46:57.497544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHANGHAI_AT
Boolean

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
44 
True
6 
ValueCountFrequency (%)
False 44
88.0%
True 6
 
12.0%
2023-12-10T18:46:57.689045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

CHONGQING_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:46:57.866611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

GUANGZHOU_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
46 
True
 
4
ValueCountFrequency (%)
False 46
92.0%
True 4
 
8.0%
2023-12-10T18:46:58.020425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

ETC_YN
Boolean

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
True
31 
False
19 
ValueCountFrequency (%)
True 31
62.0%
False 19
38.0%
2023-12-10T18:46:58.185826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_3C_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:46:58.382456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_UNIFRM_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:46:58.585289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_OTDR_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:46:58.744900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_SKIN_SUPLI_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:46:58.961598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_NTDS_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:46:59.116376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_MKUP_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:46:59.299370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_INFANT_SUPLI_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:46:59.452817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_UDWE_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:46:59.600204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_FOOD_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
47 
True
 
3
ValueCountFrequency (%)
False 47
94.0%
True 3
 
6.0%
2023-12-10T18:46:59.750522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_WTC_ACSRY_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:46:59.911754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_BAG_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:47:00.052239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_FTWR_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:47:00.196534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_HEALTH_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:47:00.347523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_BOOK_MSRC_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:47:00.485029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_FEMALE_SUPLI_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:47:00.626962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_HMELT_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:47:00.759584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_INFANT_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:47:00.905302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_CLEANSER_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:47:01.051009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_FRESH_FOOD_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:47:01.202805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_ELECT_TOOL_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:47:01.343332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_MALE_SUPLI_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:47:01.500657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_DPST_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:47:01.647830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_BTY_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:47:01.833538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_CAR_SUPLI_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:47:01.998138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_SPORTS_AT
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
49 
True
 
1
ValueCountFrequency (%)
False 49
98.0%
True 1
 
2.0%
2023-12-10T18:47:02.149405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_ACSRY_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:47:02.306731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_MOBILE_TLPHON_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:47:02.449115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

SHOPNG_KND_INCLN_CAR_AT
Boolean

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
50 
ValueCountFrequency (%)
False 50
100.0%
2023-12-10T18:47:02.618596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

USER_KEY_NMBEIJING_ATTIANJIN_ATSHANGHAI_ATCHONGQING_ATGUANGZHOU_ATETC_YNSHOPNG_KND_INCLN_3C_ATSHOPNG_KND_INCLN_UNIFRM_ATSHOPNG_KND_INCLN_OTDR_ATSHOPNG_KND_INCLN_SKIN_SUPLI_ATSHOPNG_KND_INCLN_NTDS_ATSHOPNG_KND_INCLN_MKUP_ATSHOPNG_KND_INCLN_INFANT_SUPLI_ATSHOPNG_KND_INCLN_UDWE_ATSHOPNG_KND_INCLN_FOOD_ATSHOPNG_KND_INCLN_WTC_ACSRY_ATSHOPNG_KND_INCLN_BAG_ATSHOPNG_KND_INCLN_FTWR_ATSHOPNG_KND_INCLN_HEALTH_ATSHOPNG_KND_INCLN_BOOK_MSRC_ATSHOPNG_KND_INCLN_FEMALE_SUPLI_ATSHOPNG_KND_INCLN_HMELT_ATSHOPNG_KND_INCLN_INFANT_ATSHOPNG_KND_INCLN_CLEANSER_ATSHOPNG_KND_INCLN_FRESH_FOOD_ATSHOPNG_KND_INCLN_ELECT_TOOL_ATSHOPNG_KND_INCLN_MALE_SUPLI_ATSHOPNG_KND_INCLN_DPST_ATSHOPNG_KND_INCLN_BTY_ATSHOPNG_KND_INCLN_CAR_SUPLI_ATSHOPNG_KND_INCLN_SPORTS_ATSHOPNG_KND_INCLN_ACSRY_ATSHOPNG_KND_INCLN_MOBILE_TLPHON_ATSHOPNG_KND_INCLN_CAR_AT
06fcf9261-5cbc-4987-9272-9b7723b240faNNNNNYNNNNNNNNNNNNNNNNNNNNNNNNNNNN
1dd8cdd14-10fc-449a-a2ee-0ed850d8599fNNYNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
25921de01-1160-4f69-9567-42fb6a812102YNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
31f2b30a6-d789-4f35-953c-2c56fec2e7ddNNNNNYNNNNNNNNNNNNNNNNNNNNNNNNNNNN
4eca09900-8bf7-4321-a837-d9e5eba3ed6fNNNNYNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
5528f17b6-47f3-4bb0-b95b-144865af530fNNNNNYNNNNNNNNNNNNNNNNNNNNNNNNNNNN
6b77392bc-87ea-4cf9-963e-857be9b2fb43NNNNYNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
7fc0dd1c5-df51-4ada-bf18-5236cf8c8ff9NNNNNYNNNNNNNNNNNNNNNNNNNNNNNNNNNN
89343b0af-2ae4-46f1-aef7-1c7d8fb22b09NNYNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
9a3286010-74dd-41f5-9fef-e39b843239fbNYNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
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