This page contains IRS tax forms and instructions in text (.txt) and Braille ready file (.brf) formats. Both formats are bundled together in a ZIP (.zip) file. Text files can be opened or read by any program that reads text, including Microsoft Word and Notepad. This format also works well with screen enlargers, refreshable Braille displays, and screen reading software. The Braille Ready File format is a widely recognized form of contracted Braille that can be read with a refreshable Braille display or embossed to produce high quality hard-copy Braille. Some mobile devices can read .brf files using eBook reading software, contact your software developer to find out if your reading software is compatible. These files are for reference only and cannot be submitted to the IRS in this format.
Standard populations, often referred to as standard millions, are the age distributions used as weights to create age-adjusted statistics. Files containing standard population data for use in statistical software are available below. These contain the same data distributed with the SEER*Stat software. SEER also provides U.S. Population Data which can be used for analyses with SEER*Stat or other software. Starting with the November 2004 SEER submission of data (diagnoses through 2002), the SEER Program age-adjusts using the 2000 U.S. standard population based on single years of age from the Census P25-1130 (PDF)1 series estimates of the 2000 U.S. population. For the 5-year age groups, the single year of age populations are summarized from the five single-year of age populations. See 2000 U.S. Standard Population vs. Standard Million for more discussion. Standard Population Files The standard population data files contain the following data: U.S. Standards (1940, 1950, 1960, 1970, 1980, 1990, 2000) Canadian Standards (1991, 1996, 2011) European (Scandinavian 1960) Standard2 European (EU-27 plus EFTA 2011-2030) Standard World (Segi 1960) Standard2 World (WHO 2000-2025) Standard2 View the Standard Populations Standard Populations - 19 Age Groups (0, 1-4, 5-9, 10-14, ..., 85+) Standard Populations - Single Ages (2000 U.S., World (WHO 2000-2025), and Canadian 2011 standards only) Download the Data Files (.txt format) File format information is provided in the Standard Population Data Dictionary.
Redacting a Word-Processing File (short version below): The best way to redact your document is to make sure that the source contains no unwanted text or data to begin with. One way is to use a simple-text editor (such as Windows Notepad : Start>Programs>Accessories>Notepad) to create the final redacted version of the document. Notepad cannot save any hidden code, since it only uses simple-text (.txt) format. This format can only save basic text info (ASCII) so if it's in Notepad, "what you see is what you get", and nothing more. Here's how (we will assume for these instructions that you are using Microsoft Word, the same instructions work for WordPerfect, WordStar, etc.):
You can copy and paste text from Word documents into the resume builder. However, some formatting in these documents may not work in the USAJOBS resume builder. To fix formatting errors inside your resume, you must first save the original file in a .txt format.
For those who wish to know the exact order of publication, our intention, in the ordinary course, is for the .txt file containing all release details to precede all other supplemental web and historical data files. As an example, you can download the January 2016 release.
Authorized Digital Sellers (ads.txt) is an initiative originated in 2017 by the IAB Tech Lab. This initiative increases transparency in the ecosystem of programmatic advertising by eliminating the chances of unauthorized buying and selling transactions. Authorized Digital Sellers for Apps (app-ads.txt) extends the ads.txt standard to support mobile apps distributed through online app stores. This is done by linking an ads.txt file with the app developer websites and posted to the app store listings.
Smaato supports the IAB Tech Lab initiative for ads.txt/app-ads.txt. For this, we are designing and implementing a snippet generator into our SPX platform to allow for easy adoption by our publishers. We currently working the release and will inform everyone shortly about this.
weeklydata.xlsxweeklydata.txtweeklydoc.txtNAME: African Conflict and Climate DataTYPE: ObservationalSIZE: Conflict Data: 38,216 observations, 16 variables and Weekly Data: 15,926 observations, 9 variablesThe article associated with this dataset appears in the Journal of Statistics Education, Volume 20, Number 3 (November 2012)
pizzasize.csvpizzasize.txtNAME: Pizza Size DataTYPE: ObservationalSIZE: 250 Observations, 4 VariablesThe article associated with this dataset appears in the Journal of Statistics Education, Volume 20, Number 1 (March 2012)
Change the file's extension from ".csv" to ".txt", then open with Excel. Excel will give you a text import wizard. Select 'delimited' on the first page, check 'comma' on the second, and on the third you'll be able to select the type for each column of data. One of the types is date and has a drop down with a variety of formats (m/d/y, d/m/y, etc, etc).
By default, grep matches strings which contain the specified pattern. This means that grep yo grep.txt will print the same results as grep yo grep.txt because 'yo' can be found in you. Similarly, 'ou'. 041b061a72