EAN-139780520252646   EAN-13 barcode 9780520252646
Product NameBarnum Brown: The Man Who Discovered Tyrannosaurus Rex
CategoryBook / Magazine / Publication
Short DescriptionHardcover
Amazon.comA Buy on Amazon ~ 0520252640
Price New12.00 US Dollars    (curriencies)
Price Used5.65 US Dollars    (curriencies)
Width1.25 inches    (convert)
Height9 inches    (convert)
Length6 inches    (convert)
Weight24.8 ounces    (convert)
AuthorLowell Dingus, Mark Norell
Page Count384
Long DescriptionFrom his stunning discovery of Tyrannosaurus rex one hundred years ago to the dozens of other important new dinosaur species he found, Barnum Brown led a remarkable life (18731963), spending most of it searching for fossilsand sometimes oilin every corner of the globe. One of the most famous scientists in the world during the middle of the twentieth century, Brownwho lived fast, dressed to the nines, gambled, drank, smoked, and was known as a ladies’ manbecame as legendary as the dinosaurs he uncovered. Barnum Brown brushes off the loose sediment to reveal the man behind the legend. Drawing on Brown’s field correspondence and unpublished notes, and on the writings of his daughter and his two wives, it discloses for the first time details about his life and travelsfrom his youth on the western frontier to his spying for the U.S. government under cover of his expeditions. This absorbing biography also takes full measure of Brown’s extensive scientific accomplishments, making it the definitive account of the life and times of a singular man and a superlative fossil hunter.
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Created02-26-2012 7:35:08pm
Modified04-30-2020 9:27:59pm
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Article of interest

Here we will demonstrate the most basic example of importing the CSV data files that we produce on this site into your MySQL database.

For information about various databases you can use and how to import CSV files into them, please view the overview article "Importing CSV data into your database".

For this example, we are going to import the product data CSV file out of the but this same process will work on the full data download file. We will also be executing the commands in the MySQL Workbench but you can also use the command line tool with the same commands if you like.

First, start by creating a blank table. Use the table layout described in the read_me file for the most up-to-date table layout. It is suggested that you not use any indexing at this point. You can add indexes later. It is most likely that you will have your own tables where you want to store your data so importing the CSV files can be done into temporary tables and then later copied over to your tables. Leaving off the indexes and constraints on these import tables reduces the risk of import errors. Here is an example:

create table ean_product
    EAN13             varchar(13),
    UPCA              varchar(12),
    UPCE              varchar(8),
    SKU               varchar(200),
    PriceNew          numeric(15,2),
    PriceUsed         numeric(15,2),
    PriceDate         date,
    company           varchar(13),
    product           varchar(100),
    description       varchar(100),
    category          int,
    url               varchar(500),
    created           datetime,
    modified          datetime

Next we perform the import using the LOAD DATA INFILE command. The path to the file depends on where you saved the data and which operating system you are on. For Windows users you might find your file on the C: drive and Linux users may find your date in your home (~) folder. This example shows a Linux import. Only the path would be different between the operating systems.

    INFILE '~/sample_ean_data/sample_ean_product.csv' 
    INTO TABLE ean_product

Finally, lets look at the data that we just imported.


You may have seen some warnings after the import command. If you are concerned about these warnings, examine the data. It could be that some data has grown beyond the size specified in the read_me file. If you are worried, make the fields larger and try the process again after deleting all of the data out of the table.