Data Generation in excel through mysql

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5. Data extraction

The fifth part is data extraction, which is also the most common work in data analysis. The use of each function is described below.

Extract data by column

# extract SELECT city FROM data1 by column

Extract data by row

# extract SELECT * FROM data1 WHERE city='beijing' by line

Extract data by location

# extract SELECT * FROM data1 LIMIT 2 by location 5

Extract data according to conditions

# extract and calculate SELECT AVG (price) FROM data1 WHERE city='beijing' AND age30 conditionally

# data filtering INSELECT * FROM data1 WHERE city IN ('shanghai','beijing')

# data filtering ORSELECT * FROM data1 WHERE city='shanghai' OR age > 30

# data filtering (not equal) SELECT * FROM data1 WHERE city! = 'beijing'

# data filtering like (fuzzy filtering) SELECT * FROM data1 WHERE city LIKE 'bei%'

# count after filtering countifSELECT COUNT (id) AS id_count FROM data1 WHERE city='shanghai'AND age > 30

# summing sumtifSELECT SUM (price) AS price FROM data1 WHERE city='beijing' AND age after filtering