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Articles on Trending Technologies
Technical articles with clear explanations and examples
What are the principles of Use and Disclosure in Information Security?
Use and reveal personal information simply for the primary goals for which it was composed or a related reason the person would sensible expect. It can use for some specific secondary purposes without approval is allowed.This principle positions limits on the need of personal data for secondary reasons. Simply, use for an unconnected secondary goals or one that the person cannot expect should only appear with the person’s approval or if a powerful public interest needs it. This principle includes the following which are as follows −An agency should not use or disclose personal information about an individual for a ...
Read MoreHow do we upsample a time-series using asfreq() method?
By using the pandas asfreq() method we can upsample a time series and also we can able to fill the Nan values using the fill_value parameter.The pandas.Series.asfreq() method is used to convert the Time Series to the specified frequency. As a result, It will return a reindexed time series with a specified frequency.Let's create a timeseries object by using the pandas date_range module and upsample it by using the pandas.series.asfreq() method.Example 1import pandas as pd # creating dates date = pd.date_range("2021-07-01", periods=2, freq="M") # creating pandas Series with date range index s = pd.Series([5, 6], index=date) print(s) ...
Read MoreHow to Convert the TimeSeries using the series.asfreq() method?
The pandas.Series.asfreq() method is used to convert the Time Series to the specified frequency. By using the parameters of this method we can fill missing(null) values also.It will return a series object with reindexed frequency, which is specified through the asfreq() method. The parameters of the asfreq() method are freq, method=None, how=None, normalize=False, and fill_value=None. Other than freq remaining all parameters have default values.Let's create a timeseries object by using the pandas date_range module and apply the asfreq() method.Example 1import pandas as pd # create the index index = pd.date_range('2021-07-01', periods=10, freq='H') #creating pandas Series with date index ...
Read MoreWhat are the principles of Openness in information security?
Openness is the technical method includes transparent Internet standards development where someone can participate on a similar basis, and open nonproprietary protocols that anyone can execute. It supports more opportunity for variety of thought. Openness is also the ability to create and set up Internet applications and services without approval.Openness in terms of open standards, data, APIs, processes, open source and open architectures (flexibility, customizability and extensibility element), by displaying security thinking tackled from a three-dimensional point of view (perception, assessment and challenges) that define the need to develop an IoT security mindset.It is the application of open source software ...
Read MoreWhat are the principles of Access and Correction?
Access and correction is generally managed under the provisions of the Information Act. It is important to discriminate freedom of information from information privacy. This principles contains the following which are as follows −If an individual demands an agency having personal information concerning the individual for access to the personal information, the agency should provide the individual with access to the information except to the degree that −It can be providing access would pose a severe threat to the life or health of the person or another person.It can be providing access would prejudice process for the defense of the ...
Read MoreWhat are the principles of security identifier?
A unique identifier is generally a number allocated to an individual to recognize the person for the reasons of an agency services. For example, a tax file number, drivers licence number, data set identifier.This principle confine the sharing of unique identifiers among agencies. It provides a safeguard against the creation of an individual identifier that can be used to crossmatch data across agencies. This principle includes the following which are as follows −An agency should not assign unique identifiers to individuals, unless it is important to allow the agency to perform its functions efficiently.An agency should not adopt a unique ...
Read MoreHow does pandas series argsort work?
The argsort() is one of the methods of the pandas series constructor, it works similar to the NumPy.ndarray.argsort(). In pandas series, the argmax() method will return a series object with the indices that would sort the original series values.It returns a series with values replaced by sorted order of indices. And it won’t change the original series position index labels, it only replaces the values by order of sorted values positions. The argsort method tells you where that element comes from the original series object.Example 1import pandas as pd # creating series s = pd.Series({'A':123, 'B':458, "C":556, "D": 238}) ...
Read MoreWhat are the rules and regulations used for compilation of sensitive information?
Sensitive information is the classified information that should be protected and is inaccessible to external parties unless specifically granted permission. The data can be in physical or electronic form, but sensitive information is regarded as private information or data. An ethical or legal reason can warrant the need to have complex restrictions on person who can access personal or an organization sensitive information, particularly when it pertains to individual privacy and property rights.For example, a data breach in a government commission can expose government secrets to foreign powers. The same can be used to individual or organisation data, which can ...
Read MoreHow to Get the Position of Minimum Value of a pandas Series?
To get the position of minimum value of a pandas series object we can use a function called argmin().The argmin() is the method of the pandas series constructor, which is used to get the row position of the smallest value from the series. The output of the argmin() method is an integer value. If the pandas series object having the Nan values, then the argmin() method will identify the smallest number by neglecting those Nan values.If the minimum value is located in multiple index positions, then the first occurrence value position is taken as output.Example 1# import pandas package import ...
Read MoreWhat are the principles of Transporter Data Flows?
Transporter data flows are digitally encoded units of data in which the transfer, storage, or processing takes place in more than one union state. The information can be moved physically by magnetic media, such as tapes, disks, or transmitted electronically over a terrestrial line, submarine cable, or satellite connection.The significant fact is that the information transported or transmitted by these two modes either undergoes some type of information processing, or is accessed across an international frontier.Transporter data flow supports business process streamlining, enhance market access, and keep business relevance in a fast-evolving business landscape. The maturing business and technological landscape, ...
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