Nov 06, 2019  Global data on HIV/AIDS, TB, Malaria, socio-economic indicators, and more by country. Global Health Facts is comprised of more than 100 indicators and provides users with the ability to map, rank, and download the data for custom analyses. An option for raw data downloads is. If you’d like to fix RAW partition without losing data, the last step is to recover data from RAW (MiniTool Power Data Recovery is a good choice for even green hands to recover lost files). The third way: make use of the powerful tool – WINHEX. Choose the RAW hard drive. Scan for lost partitions. Open found partitions.

Data files - Last updated: 15 December 2019

These files do not constitute a user-friendly data collection which the average user can download and access. These are the basic underlying raw data files, together with the necessary instructions, file structures, code reference tables, etc. which can be used by institutions and organizations which need access at this level of detail mainly for research purposes and have available the required information technology (IT) resources to use this information. These files will not open in programs like Excel; please refer to the 'Documentation.zip' file hereafter for more information on systems requirements.

It should be noted that these data are transmitted on the understanding that no use will be made of them for commercial purposes and that no such permission or right to use may be implied thereby. WHO requests data users to adhere to the guidelines outlined on the next page.

• Documentation
  zip, 87kb
  Contains a Word file with information on the WHO Mortality Database, file specifications and list of causes of death. Last updated: 15 December 2019.
• Availability
  zip, 174kb
  Contains an Excel file with the list of countries-years available for the mortality and population data. Last updated: 15 December 2019.
• Country codes
  zip, 2kb
  Country codes and names. Last updated: 03 November 2014.
• Notes
  zip, 0kb
  Notes pertaining to data for some countries-years. Last updated: 15 December 2019.
• Population and live births
  zip, 604kb
  Reference populations and live births. Last updated: 15 December 2019.
• Mortality, ICD-7
  zip, 4.88Mb
  Data file containing the detailed mortality data for the seventh revision of the ICD (International Classification of Diseases). Last updated: 18 February 2004.
• Mortality, ICD-8
  zip, 5.45Mb
  Data file containing the detailed mortality data for the eighth revision of the ICD (International Classification of Diseases). Last updated: 09 July 2012.
• Mortality, ICD-9
  zip, 13.51Mb
  Data file containing the detailed mortality data for the ninth revision of the ICD (International Classification of Diseases). Last updated: 29 March 2017.
• Mortality, ICD-10 (part 1/2)
  zip, 15.41Mb
  Data file containing the detailed mortality data for the tenth revision of the ICD (International Classification of Diseases). Last updated: 15 December 2019.
• Mortality, ICD-10 (part 2/2)
  zip, 28.49Mb
  Data file containing the detailed mortality data for the tenth revision of the ICD (International Classification of Diseases). Last updated: 15 December 2019.

The two columns to the right of the left-most column in this computerized table are raw data.Raw data, also known as primary data, is data (e.g., numbers, instrument readings, figures, etc.) collected from a source. In the context of examinations, the raw data might be described as a raw score.If a scientist sets up a computerized which records the temperature of a chemical mixture in a test tube every minute, the list of temperature readings for every minute, as printed out on a spreadsheet or viewed on a computer screen is 'raw data'. Raw data has not been subjected to processing, 'cleaning' by researchers to remove, obvious instrument reading errors or data entry errors, or any analysis (e.g., determining aspects such as the or result). As well, raw data has not been subject to any other manipulation by a software program or a human researcher, analyst or technician. It is also referred to as primary data. Raw data is a relative term (see ), because even once raw data has been 'cleaned' and processed by one team of researchers, another team may consider this processed data to be 'raw data' for another stage of research. Raw data can be inputted to a or used in manual procedures such as analyzing from a.

The term 'raw data' can refer to the data on electronic storage devices, such as hard disk drives (also referred to as 'low-level data'). Contents.Generating data Data has two ways of being created or generated. The first is what is called 'captured data', and is found through purposeful investigation or analysis. The second is called 'exhaust data', and is gathered usually by machines or terminals as a secondary function.

For example, cash registers, smartphones, and speedometers serve a main function but may collect data as a secondary task. Exhaustive data is usually too large or of little use to process and becomes 'transient' or thrown away.Examples In, raw data may have the following attributes: it may possibly contain human, machine, or instrument errors, it may not be validated; it might be in different areen formats; or unformatted; or some entries might be 'suspect' (e.g., ), requiring.

The 1918 influenza pandemic was the most severe pandemic in recent history. It was caused by an H1N1 virus with genes of avian origin. Although there is not universal consensus regarding where the virus originated, it spread worldwide during 1918-1919. In the United States, it was first identified in military personnel in spring 1918. Pandemic in 1918. October 1918. The 1918 flu pandemic virus kills an estimated 195,000 Americans during October alone. In fall of 1918 the United States experiences a severe shortages of professional nurses, because of the deployment of large numbers of nurses to military camps in the United States and abroad, and the failure to use trained African American nurses. The influenza pandemic of 1918–19 resulted from such an occurrence and affected populations throughout the world. An influenza virus called influenza type A subtype H1N1 is now known to have been the cause of the extreme mortality of this pandemic, which resulted in an estimated 25 million deaths.

For example, a data input sheet might contain dates as raw data in many forms: '31st January 1999', ', '31/1/99', '31 Jan', or 'today'. Once captured, this raw data may be stored as a normalized format, perhaps a, to make it easier for computers and humans to interpret during later processing. Raw data (sometimes colloquially called 'sourcey' data or 'eggy' data, the latter a reference to the data being 'uncooked', that is, 'unprocessed', like a raw ) are the data input to processing. A distinction is made between data and information, to the effect that information is the end product of data processing.

Raw data that has undergone processing are sometimes referred to as 'cooked' data in a colloquial sense. – Although raw data has the potential to be transformed into ',' extraction, organization, analysis and formatting for presentation are required before raw data can be transformed into usable information.For example, a (POS terminal, a computerized ) in a busy supermarket collects huge volumes of raw data each day about customers' purchases. However, this list of grocery items and their prices and the time and date of purchase does not yield much information until it is processed. Once processed and analyzed by a or even by a researcher using a pen and paper and a, this raw data may indicate the particular items that each customer buys, when they buy them, and at what price; as well, an analyst or manager could calculate the average total sales per customer or the average expenditure per day of the week by hour.

This processed and analyzed data provides information for the manager, that the manager could then use to help her determine, for example, how many cashiers to hire and at what times. Such information could then become data for further processing, for example as part of a predictive campaign.

As a result of processing, raw data sometimes ends up being put in a, which enables the raw data to become accessible for further processing and analysis in any number of different ways.(inventor of the ) argues that sharing raw data is important for society. By by of the his call to action is, meaning that everyone should demand that governments and businesses share the data they collect as raw data. He points out that 'data drives a huge amount of what happens in our lives because somebody takes the data and does something with it.' To Berners-Lee, it is essentially from this sharing of raw data, that advances in science will emerge. Advocates of argue that once citizens and civil society organizations have access to data from businesses and governments, it will enable citizens and NGOs to do their own analysis of the data, which can empower people and civil society. For example, a government may claim that its policies are reducing the, but a advocacy group may be able to have its staff do their own analysis of the raw data, which may lead this group to draw different conclusions about the data set.Further reading. the blog post from Rufus Pollock that Tim Berners-Lee.References.