Statistics Lab Work 2

Created2022-09-22|Updated2022-09-22|Lab Work

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Data Types

In programming languages, data types are categories that define the nature of data based on the logical operations that can be performed on them. Data types can be divided into several categories, including Character, Numeric, and List types. There are also complex data types, such as Data Frames.

In the R programming language, there are various data types that can be used for analysis. Additionally, data types in R share similarities with those in older programming languages, such as Char, among others.

Data Filtering

Data filtering is a technique used to sift through data to extract specific types of information. It can also be used to select data and eliminate invalid entries, such as missing values (NA/NaN).

In R, which is specifically designed for data analysis, the data filtering technique is frequently utilized because not all data received by a data analyst is complete and clean.

Database Connection

Database connection refers to the technique of linking a database to a programming language or vice versa. This technique is often employed in many programming languages due to the widespread use of databases as tools for data storage.

Since R is dedicated to data analysis, it is closely related to data retrieval from storage sources, such as databases. Therefore, in this practice, we will learn techniques for connecting to a database.

Dataset

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MODULE

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Author: Azhar Rizki Zulma

Link: https://blog.zulma.id/posts/Statistics-Lab-Work-2/

Copyright Notice: All articles on this blog are licensed under CC BY-NC-SA 4.0 unless otherwise stated.

Trisakti Subject Statistics

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