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Data Literacy

We need a data table, when we do Statistics , Multi-Variable Analysis , Data Mining and Process Analysis for Reasoning .

If all data is in the relational database, we relate the data. And we get a data table.

But such case is not general. We need skills and techniques to join data and make tables.

By the way, in many cases of my experience, analysis is completed when I analyze only spreadsheet software. It is a powerful tool of analysis.

Link data

When we link data, we make new electric data. Because we use meta-knowledge and experience when we link data. Without difficult methods such as Multi-Variable Analysis and Data Mining , we may discover great conclusion after linking.

To link "one vs many" data

I call "one vs many" if a side has same value and the other side has various data. In this situation, there are two ways.

• Consider as "many vs many". Not to lose information of many.
• Consider as "one vs one". To change "many" to "one", we use average, median, maximum, minimum or trim average.

Tools of Data Literacy

• Database : Box for data.
• Programming : Feeling as if talking with computers.
• Change for Analysis : To change information into data for analysis.
• Meta Data and Meta Knowledge : The data in the background of the data
• Outlier and Missing Value : Outlier and missing value change the output of anlysis.

NEXT Linking different source data