|Product Name||Excel Data Analysis For Dummies|
|Category||Book / Magazine / Publication|
|Amazon.com||Buy on Amazon ~ 0764516612|
|Price New||11.33 US Dollars (curriencies)|
|Price Used||0.10 US Dollars (curriencies)|
|Width||0.8 inches (convert)|
|Height||9.25 inches (convert)|
|Length||7.4 inches (convert)|
|Weight||24 ounces (convert)|
|Author||Stephen L. Nelson|
|Long Description||So here’s a funny deal: You know how to use Excel. You know how to create simple workbooks. And how to print stuff. And you can even, with just a little bit of fiddling, create cool-looking charts. But sometimes you wish that you could do more with Excel, such as how to use Excel to really gain insights into information, the data, that you work with in your job. |
Using Excel for this kind of stuff is what Excel Data Analysis For Dummies is all about. This is a book that assumes that you want to use Excel to learn new stuff, discover new secrets, and gain new insights into the information you’re already working with in Excel.
Ready to take Excel to the next level? This plain-English guide covers all of these concepts, and more, to ensure that you’re using Excel to its fullest capacity:
If all this talk of statistics and advanced tools makes you light-headed, don’t worry. Excel Data Analysis For Dummies distills the most important fundamentals into everyday language. You’ll find just enough information to help you get your work done – without leaving you gasping for air in a sea of technobabble. It’d be a real shame if you didn’t at least know what bells and whistles Excel has to offer and the basic steps that you need to use them.
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The attributes are somewhat like fields. They are the individual data items that describe each product. Each product entry will have several attributes. There is no telling which attributes will be attached to each product but they all have the same basic format.
Here is an example of one attribute. When accessing the data feed API, you can get your data in XML or JSON format. Here it is displayed in XML format to make it a little easier to read through.
<attribute> <field_name>product</field_name> <group_name>Over View</group_name> <title>Product Name</title> <data_type>varchar</data_type> <data_type_description>short text</data_type_description> <has_linked_text>0</has_linked_text> <has_linked_extra>0</has_linked_extra> </attribute>
In the above example you will find these elements:
- field_name - The unique name used to access this attribute.
- group_name - The name of the data group this field belongs to.
- title - The label we place on the screen when displaying this attribute to users.
- data_type - The database data type we are using to store this attribute.
- data_type_description - More infomation about the data type.
- has_linked_text - Some numeric fields have a text representation. We store the numeric value but if there is linked text, we use a lookup table to display that text instead of the number to the user.
- has_linked_extra - Some numeric fields have an extra text value that goes along with the number. We use a lookup table to display that text in addition to the number.
Hopefully, this helps you understand the data attributes you find in the data feed API.