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Nikolai Petrov
Nikolai Petrov

Dummy CSV File Download: How to Import and Export Data in WS Form


For each dataset, several CSV sizes are available, from 100 to 2 million records. The first line contains the CSV headers. An index column is set on each file. Rows have an index value which is incremental and starts at 1 for the first data row.


You can import any CSV file into a data grid. To import a CSV file, either click the Import icon or drag a CSV file into the data grid area. When you drag the file into the data grid area, a blue box will appear with a dashed outline. Release the file into that area, and the CSV import will begin.




dummy csv file download



Test .csv or Comma Separated Values files with ease using this free service. Do you need to store tremendous amount of records within your app? Does .csv files show plain text holding all the tabular data altogether? Then why not download the test or demo file completely free. Download demo .csv files starting from 10 rows up to almost half a million rows. Select the one that goes well with your requirements. You can even find options dealing with .csv files that can store records, data or values with 100, 1000, 5000, 10000, 50000, and 100000 rows.


Testing your php, c#, or any other programming language code targeted towards CSV file import functionality becomes a cakewalk using this absolutely free service. Getting sample CSV files for demo/test use is not something you will find elsewhere. Let your app store thousands of values with tremendous ease by testing the file before you can actually implement it.


  • addresses.csv, an example file with 6 records. There are 6 fields.

  • airtravel.csv, Monthly transatlantic airtravel, in thousands of passengers, for 1958-1960. There are 4 fields, "Month", "1958", "1959" and "1960" and 12 records, "JAN" through "DEC". There is also an initial header line.

  • biostats.csv, biometric statistics for a group of office workers. There are 18 records, recording Name, Sex, Age, Height, Weight There is an initial header line.

  • cities.csv, an example file with 128 records. There are 10 fields.

  • crash_catalonia.csv, number of car crashes in Catalonia from 2000 to 2011, by day of week. There are 7 records, with two values each. There is also an initial header line.

  • deniro.csv, Rotten Tomato ratings of movies with Robert De Niro. There are 87 records. Each record has Year, Rating, Titlte. There is also an initial header line.

  • example.csv, an example file with 1 record. There are 78 values per record. There is also an initial header line.

  • ford_escort.csv, used Ford Escorts for sale. There are 23 records of year, mileage and price. There is also an initial header line.

  • faithful.csv, Old Faithful geyser: index, time between eruptions, and length of eruption. 272 records, each with three values. There is also an initial header line.

  • freshman_kgs.csv, Sex, September weight (kgs), April weight (kgs), September BMI, April BMI, for 67 college freshmen. There is also an initial header line.

  • freshman_lbs.csv, Sex, September weight (lbs), April weight (lbs), September BMI, April BMI, for 67 college freshmen. There is also an initial header line.

  • grades.csv, an example file with 16 records and 9 fields: First name, Last Name, SSN, Test1, Test2, Test3, Test4, Final, Grade. There is also an initial header line.

  • homes.csv, Home sale statistics. Fifty home sales, with selling price, asking price, living space, rooms, bedrooms, bathrooms, age, acreage, taxes. There is also an initial header line.

  • hooke.csv, Hooke's Law demo. A spring experiment is carried out twice. Spring 1 and spring 2 are loaded with 0, 1, 2, ..., 9 equal weights and their lengths are measured. Each record contains the index, weight, spring 1 length and spring 2 length. There is also an initial header line.

  • hurricanes.csv, hurricane and tropical storm counts for 2005-2015. Each record includes 13 values: month, historical average, counts for 2005 through 2015. Eight records are stored, for months "May" through "Dec". There is also an initial header line.

  • hw_200.csv, height and weight for 200 individuals Each record includes 3 values: index, height (inches), weight (pounds). There is also an initial header line.

  • hw_25000.csv, height and weight for 25000 individuals Each record includes 3 values: index, height (inches), weight (pounds). There is also an initial header line.

  • lead_shot.csv, For each grade of lead shot, a record lists the grade name, the weight in ounces, weight in grams, diameter in inches, diameter in millimeters, and the number of pellets per ounce. There are 25 records. There is also an initial header line.

  • letter_frequency.csv, In a large text, the frequency and percentage frequency of each of the 26 letters of the alphabet was determined. There are 26 records, each with three values. There is also an initial header line.

  • mlb_players.csv, Major League Baseball Players: Name, Team, Position, height (inches), weight (pounds), age (years). 1034 records, each with six values. There is also an initial header line.

  • mlb_teams_2012.csv, Major League Baseball 2012 Season: Team, Payroll(millions), Wins. 30 records, each with 3 values. There is also an initial header line.

  • news_decline.csv, average nightly viewship for 6 TV news magazines for 2009-2011. Each record includes 4 values: show name, 2009, 2010, 2011. Six records are stored, for "60 Minutes", "48 Hours Mystery", "20/20", "Nightline", "Dateline Friday", and "Dateline Sunday". There is also an initial header line.

  • nile.csv, Nile flood data; 570 records, each with 2 values: year index, maximum height of Nile flood. There is also an initial header line.

  • oscar_age_female.csv, age of female Oscar winners; 89 records: index, age, name, movie. There is also an initial header line.

  • oscar_age_male.csv, age of male Oscar winners; 89 records: index, age, name, movie. There is also an initial header line.

  • snakes_count_10.csv, game length for one-player version of Snakes and Ladders, 10 records, each with 2 values: Game Index, Game Length. There is also an initial header line.

  • snakes_count_100.csv, game length for one-player version of Snakes and Ladders, 100 records, each with 2 values: Game Index, Game Length. There is also an initial header line.

  • snakes_count_1000.csv, game length for one-player version of Snakes and Ladders, 1000 records, each with 2 values: Game Index, Game Length. There is also an initial header line.

  • snakes_count_10000.csv, game length for one-player version of Snakes and Ladders, 10000 records, each with 2 values: Game Index, Game Length. There is also an initial header line.

  • tally_cab.csv, Tallahassee Cab Fares, 8 records, each with 2 values: Distance(miles), Fare($). There is also an initial header line.

  • taxables.csv, Taxable items, 10 records: index, item name, price, tax, price plus tax. There is also an initial header line.

  • trees.csv, Tree measurements, 31 records: index, circumference (in), height (ft), volume (ft^3). There is also an initial header line.

  • zillow.csv, Tallahassee Housing Prices as reported by Zillow, 20 records: Index, Square footage, beds, baths, zip code, year, list price. There is also an initial header line.


If you're trying to import your bank transactions, you can prepare your file manually. The system allows you to use the 3 or 4 column CSV format. To learn more about this, you can check out this link: Format CSV files in Excel to get bank transactions into QuickBooks.


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You can use a CSV (comma-separated values) file to import products into your Shopify store, and to export products from your store. When you use a CSV file, you can import or export a large number of products and their details at same time. This can be helpful if you want to exchange product information between Shopify and other platforms.


The sample file contains an example product and a couple of variants. Your import file probably contains many more products and variants. If you use the sample file to create your own import file, then make sure that you remove all the example products.


The sample file includes the Variant Inventory Qty column, which is only used for stores that have a single location. If you use multiple locations and you want to import or export inventory quantities, then use the inventory CSV file.


Before you remove or exclude columns from your CSV file, verify whether the data in any other columns depends on the data in the columns that you want to remove or exclude. If your data depends on a column that is missing, then you receive an error when you try to import your product CSV file.


For example, if you create a market for each individual continent, and one of your market names is South America then column heading Price / International becomes Price / South America, and column heading Compare-at price / International becomes Compare-at price / South America in the CSV export file.


When you import a CSV file, you can select the option Overwrite any current products that have the same handle. Existing values will be used for any missing columns. If you select this option, then when the handle in the import CSV file matches an existing handle in your products list, the values in CSV file overwrite the values in the matching columns in the existing product list. If the overwrite option isn't selected, then the products that match an existing handle will be ignored during CSV import.


Changing data in the Option1 Value, Option2 Value, or Option3 Value columns of the product CSV file deletes existing variant IDs, and creates new variant IDs. Any change to variant IDs values can break third-party dependencies on variant IDs.


Note: This column is only available for stores that have only one location. If your store manages inventory at multiple locations, then this column isn't included. If you want to import or export inventory quantities, then use the inventory CSV file.


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