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Aug 6th, 2022
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How to Finish information in raw

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in this video were going to talk about the different types of inventory for a manufacturing firm and its important to specify manufacturing firm because a merchandising firm just buys inventory and then sells inventory the inventory that gives already put together but a manufacturing firm were going to have some nuances here that is what were going to talk about so first of all weve already kind of talked about things like direct materials direct labor and manufacturing overhead and how these costs these costs go into inventory and then they flow out of the firm through cost of goods sold right so what were looking at specifically here is this inventory component and what we find is that theres actually theres actually kind of sub categories of this so weve got weve got raw materials which ill just put as rm right now weve got work in process which is whip and then weve got finished goods and and the rest is very im going to explain each of these in more detail so let me

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Raw data typically refers to tables of data where each row contains an observation and each column represents a variable that describes some property of each observation. Data in this format is sometimes referred to as tidy data, flat data, primary data, atomic data, and unit record data.
Generally, there are six main steps in the data processing cycle: Step 1: Collection. The collection of raw data is the first step of the data processing cycle. Step 2: Preparation. Step 3: Input. Step 4: Data Processing. Step 5: Output. Step 6: Storage.
Raw data is a set of information that was delivered from a certain data entity to the data provider and hasnt been processed yet by machine nor human. This information is gathered out of online sources to deliver deep insight into users online behavior.
Data processing starts with data in its raw form and converts it into a more readable format (graphs, documents, etc.), giving it the form and context necessary to be interpreted by computers and utilized by employees throughout an organization.
Raw data typically refers to the primary data that is collected that will be processed to more understandable information.Some examples of raw data can be: Reviews of your business or product. A list of items purchased in your company. Survey responses. A list of prices for cars, hotels, real estate. Industry insights.
For example, raw multibeam data files can be processed to remove outliers and to correct sound velocity errors. The resultant files are considered processed. Similarly, a bathymetric grid generated from either raw or processed swath files is a processed data product.
Three examples of raw data served as useful information can be a customers age, gender, and his/ her annual income in a target market survey for a marketing company.
Raw data (sometimes called source data, atomic data or primary data) is data that has not been processed for use. A distinction is sometimes made between data and information to the effect that information is the end product of data processing.

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