OBJECTIVES: 

I will peer edit my data graphing project with my team during class today.

I will edit my data graphing project based on input from my team members during class today.

I will submit my data graphing project based on input from my team members during today's class.

WORDS FOR TODAY:

• Big Data - a broad term for data sets so large or complex that traditional data processing applications are inadequate.
• Moore's Law - a predication made by Gordon Moore in 1965 that computing power will double every 1.5-2 years, it has remained more or less true ever since.
• Field - A holder of unique data of a unique data type (For example an AGE field contains integer data that stores a person's age. A field named FNAME would store character data that stores a person's first name
• Record - A "Row" of data related to a specific topic. For example FNAME, LNAME, ADDRESS, CITY, STATE, ZIP would contain data relating to a specific person.
• Table - A "Table" of data contains a bunch of rows of data. For example a spreadsheet is a table of data.
• Sort - to arrange data by data in a field. Alphabetical and highest/lowest numeric order are examples of sorting.
• Filter - To create a subset of records in a data table by including or excluding data matching specific criteria

WORK O' THE DAY: 

Please keep in mind, the whole purpose of a graph is to summarize data in a clear and concise manner.

Although we tend to go with bar graphs they tend to be less meaningful in science, math and engineering so best to avoid them unless they truly are the best way to represent data.

Learning how to quickly, easily and efficiently create a graph using Excel or Google Sheets is a skill that will provide MUCH benefit in your scholastic future.

A right and proper graph must have:

• A clear/concise and meaningful title
• X & Y - axis labels (with units, as appropriate)
• Data Points
• A graph that somehow connects/summarizes data points in a clear and meaningful way.
• Using different fonts and colors will help to highlight different aspects of your graph. Don't be garish.

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Go online and find a large (greater than 1000 records) set of data. Be sure to find data of a compatible file type. That means that you should find a file that has a ".csv", ".xls", ".xlsx" or sometimes ".txt" but you need to be careful about those.

Import the file into Google sheets.

Use Google sheets to create a well-crafted graph that quickly summarize that significantly large amount of data.

Join me after school and I can give you the tips that I gave the class while you were out.