Found 728 Articles for Data Visualization

Automated Database Design Tools

Raunak Jain
Updated on 10-Jan-2023 16:02:49
Introduction Automated database design tools can be a useful resource for developers and data professionals looking to streamline the database design process. These tools can help create efficient and effective databases, saving time and reducing the risk of errors. In this article, we will explore the benefits of using automated database design tools, discuss some popular options, and provide examples of how these tools can be used in real-world scenarios. Benefits of Automated Database Design Tools There are several benefits to using automated database design tools, including − Efficiency − Automated database design tools can help save time by ... Read More

Attributes to Relationships in ER Model

Raunak Jain
Updated on 16-Jan-2023 16:05:35
Introduction In database design, the Entity Relationship (ER) model is a powerful tool for representing the structure of a database. One important aspect of the ER model is the way it handles attributes and relationships between entities. In this article, we will explore the concepts of attributes and relationships in the ER model, and how they are used to represent the data in a database. We will also provide real-life examples, code examples, and diagrams to illustrate these concepts. Attributes in the ER Model In the ER model, an attribute is a characteristic or property of an entity that describes ... Read More

Attributes of Data Warehouse

Raunak Jain
Updated on 16-Jan-2023 16:08:34
Introduction A data warehouse is a database specifically designed for fast querying and analysis of data. It is used to support the decision-making process of an organization by providing a centralized repository of data that can be easily accessed and analyzed. Attributes in a data warehouse are characteristics or features of a dataset that describe the data. They are also known as variables or columns. In this article, we will explore the different types of attributes that are used in a data warehouse and their role in supporting the decision-making process of an organization. Types of Attributes in a Data ... Read More

Attributes and its types in Data Analytics

Raunak Jain
Updated on 16-Jan-2023 16:09:34
Introduction Data analytics is the process of examining raw data with the purpose of drawing conclusions about that information. It is a crucial aspect of modern business and is used to improve decision-making, identify trends, and optimize processes. One important aspect of data analytics is the concept of attributes. Attributes are characteristics or features of a dataset that describe the data. They are also known as variables or columns. In this article, we will explore the different types of attributes and their role in data analytics. Types of Attributes There are several types of attributes that are commonly used in ... Read More

Differences between Agile IT Governance and COBIT

Jui Mondal
Updated on 11-Jan-2023 17:57:46
Information technology (IT) plays an essential role in the current business world in data management and protection. With everything in the world becoming digitized, businesses need to understand the paramount importance of data governance. Every IT company and organization manages several departments to streamline operations and achieve maximum profits. However, handling different departments can be overwhelming, especially when you have to do it manually without the help of tools and technology. There are numerous platforms available for IT companies to help them manage and govern their organization seamlessly and streamline their operations. Agile IT Governance and COBIT are popular platforms ... Read More

Data Classification: Overview, Types, and Examples

Jui Mondal
Updated on 05-Jan-2023 09:46:30
Data classification defines and categorizes business data, information, and files. It is used by organizations that are required to follow stringent compliance guidelines. The primary purpose of data classification is to understand the sensitivity of stored information to build a robust security system using the right cybersecurity tools. By classifying data, organizations can determine the following − Who is authorized to access specific data? What protection policies to use for storing and transferring those data? What are regulatory standards applicable to specific data? Data classification empowers an organization to manage its data with privacy, secured by cyberattacks, ... Read More

Exploratory Data Analysis on Iris Dataset

Mithilesh Pradhan
Updated on 30-Dec-2022 12:45:01
IntroductionIn Machine Learning and Data Science Exploratory Data Analysis is the process of examining a data set and summarizing its main characteristics about it. It may include visual methods to better represent those characteristics or have a general understanding of the dataset. It is a very essential step in a Data Science lifecycle, often consuming a certain time.In this article, we are going to see some of the characteristics of the Iris dataset through Exploratory Data Analysis. The Iris Dataset The Iris Dataset is very simple often referred to as the Hello World. The dataset has 4 features of three ... Read More

Role of Log Odds in Logistic Regression

Mithilesh Pradhan
Updated on 30-Dec-2022 12:00:56
Introduction Logistic Regression is a statistical method to predict a dependent data variable based on the relationship between one or more independent variables. It makes use of log odds and with the help of a logistic function, it predicts the probability of an event occurring. It is a classification method. What are Log Odds and Why are they Useful for Logistic Regression? Logistic regression is used to predict binary outcomes. For example, in an election, whether a candidate will win or not, whether SMS is spam or ham, etc. Odds are the ratio of the probability of success to failure. ... Read More

Top 7 Clustering Algorithms Data Scientists Should Know?

Jay Singh
Updated on 28-Dec-2022 10:27:12
Clustering algorithms are a type of machine learning algorithm that can be used to find groups of similar data points in a dataset. These algorithms are useful for a variety of applications, such as data compression, anomaly detection, and topic modeling. In some cases, clustering algorithms can be used to find hidden patterns or relationships in a dataset that might not be immediately apparent. By grouping similar data points together, clustering algorithms can help to simplify and make sense of large and complex datasets. In this post, we will look closely at Clustering algorithms and the top seven algorithms that ... Read More

What are the differences between Jumpshare and SugarSync?

Bhanu Priya
Updated on 23-Mar-2022 10:26:07
Let us understand the concepts of Jumpshare and SugarSync before learning the differences between them.JumpshareJumpshare was developed by Jumpshare Inc in the year 2012. It is a visual communication platform. By Using Jumpshare we can share our work and ideas instantly using shareable links. It combines the features like file sharing, screenshot capture, and video recording all in a single platform. It is available in MacOS, iOS, and Microsoft windows.Jumpshare offers free accounts with limited storage, and paid subscriptions with expanded storage and sharing options.FeaturesThe features of Jumpshare are as follows −Share the work visually in seconds.Delivering the work at ... Read More