# "Data Science 100 Knock (Structured Data Processing)" Python-001 Explanation

Youtube Video commentary is also available.

## problem

P-001: Display the first 10 items of all items from the data frame (df_receipt) of the receipt details, and visually check what kind of data you have.

#### `code`

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#### `output`

``````
sales_ymd	sales_epoch	store_cd	receipt_no	receipt_sub_no	customer_id	product_cd	quantity	amount
0	20181103	1257206400	S14006	112	1	CS006214000001	P070305012	1	158
1	20181118	1258502400	S13008	1132	2	CS008415000097	P070701017	1	81
2	20170712	1215820800	S14028	1102	1	CS028414000014	P060101005	1	170
3	20190205	1265328000	S14042	1132	1	ZZ000000000000	P050301001	1	25
4	20180821	1250812800	S14025	1102	2	CS025415000050	P060102007	1	90
5	20190605	1275696000	S13003	1112	1	CS003515000195	P050102002	1	138
6	20181205	1259971200	S14024	1102	2	CS024514000042	P080101005	1	30
7	20190922	1285113600	S14040	1102	1	CS040415000178	P070501004	1	128
8	20170504	1209859200	S13020	1112	2	ZZ000000000000	P071302010	1	770
9	20191010	1286668800	S14027	1102	1	CS027514000015	P071101003	1	680
``````

## Commentary

**-This is a method to check the first data in Pandas DataFrame / Series. -Use when you want to know roughly what kind of data you have. ・ Display up to the first nth line with' .head (n)' -Conversely, if you want to display up to the nth line at the end, use' .tall (n)'. ・ You can see that it contains information about when, at which store, who bought what, how much, and how much. ** **