because our sun which also is a star, is hundreds of thousands of light years closer to us than the next nearest star. therefore its light is also proportionately greater. and during the day it illuminates our atmosphere to a greater degree than the light from the other stars , the stars are still shining, you just can't see them any more because they're dimmer than the light which is being refracted into the atmosphere by the sun. this refracted light also gives the atmosphere its blue color which is brighter than star light. you can kind of demonstrate this in a dark room by lighting a match, it will seem very bright, but if you flip on the light switch, it will seem very dim in comparison to the brighter light of an incadesant bulb. at night the earth blocks out the suns light from our atmosphere and allows the lesser light from the stars to be seen. hope thus helps,*** keary***
Metadata is data that is about data.?æ Although it describes the data, it's not considered business data. Master data is business data. Run-time data is data that is in the process of being run.
Data Store Data Reserve Data Stow Data Warehouse Data Repository Data Depot Data Storehouse
A data dictionary is a repository that contains definitions of data processes, data flows, data stores, and data elements used in an organization. It helps to provide a common understanding of data terminologies and structures within a dataset or system. Data dictionaries are often used to maintain consistency and clarity in data management and analysis processes.
Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..
Metada data is data that describes other data.
Data cleaning in clinical data management (CDM) refers to the process of identifying, correcting, or removing inaccurate, inconsistent, incomplete, or irrelevant data from clinical trial datasets to ensure data quality, accuracy, and reliability.
No, Moving data is not same as duplicating data. When we copy data that causes duplication of data . And while moving we are just changing the storage location of data.To copy data is duplication, but to move data does not cause duplication.
a noun u can get data and use data but not do data
From Processed Data to Raw (Reverse Engineering) a) Find the Original Source Start by locating the original data file, whether it’s from a sensor, a form, an export, or a system log. For instance, instead of relying on a monthly sales report, grab the transaction log straight from the POS system. b) Remove Any Processing or Formatting Make sure to undo any filters, formulas, or pivot tables in Excel. Don’t forget to delete calculated fields like averages or percentages, and restore any rows and columns that might have been hidden or trimmed. c) Convert to Plain Text To strip away formatting, copy and paste the data into Notepad or save it as a .csv or .txt file. In Excel, you can use “Paste Special > Values” to eliminate formulas. From Printed or Visual Data If you’re working with a printed report or graph, you can use OCR (Optical Character Recognition) tools to pull out the raw text. Alternatively, you can manually rebuild the dataset by entering the values into a spreadsheet, or you could simply ask the source (like the analyst or system) for the original file. Export Raw Data from a Tool Most platforms, such as Google Forms, CRMs, or web analytics tools, offer a way to export raw data. Look for options like “Download CSV,” “Export all responses,” “Raw export,” or “Download logs.” This will provide you with the data in its most unprocessed form.
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.
Data files are data whereas data records are backups.
Measurable data is data that can be measure by a quantity. Measurable data is also known as quantitative data.