Between the first quarter of 2023 and the third quarter of 2024, the number of records exposed in data breaches in the United States decreased significantly. In the most recent measured period, over 93.7 million records were reported as leaked, down from around 116 million in the previous quarter.

In 2024, the number of data compromises in the United States stood at 3,158 cases. Meanwhile, over 1.35 billion individuals were affected in the same year by data compromises, including data breaches, leakage, and exposure. While these are three different events, they have one thing in common. As a result of all three incidents, the sensitive data is accessed by an unauthorized threat actor. Industries most vulnerable to data breaches Some industry sectors usually see more significant cases of private data violations than others. This is determined by the type and volume of the personal information organizations of these sectors store. In 2024 the financial services, healthcare, and professional services were the three industry sectors that recorded most data breaches. Overall, the number of healthcare data breaches in some industry sectors in the United States has gradually increased within the past few years. However, some sectors saw decrease. Largest data exposures worldwide In 2020, an adult streaming website, CAM4, experienced a leakage of nearly 11 billion records. This, by far, is the most extensive reported data leakage. This case, though, is unique because cyber security researchers found the vulnerability before the cyber criminals. The second-largest data breach is the Yahoo data breach, dating back to 2013. The company first reported about one billion exposed records, then later, in 2017, came up with an updated number of leaked records, which was three billion. In March 2018, the third biggest data breach happened, involving India’s national identification database Aadhaar. As a result of this incident, over 1.1 billion records were exposed.

Analysis of ‘List of Top Data Breaches (2004 - 2021)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/hishaamarmghan/list-of-top-data-breaches-2004-2021 on 14 February 2022.

--- Dataset description provided by original source is as follows ---

This is a dataset containing all the major data breaches in the world from 2004 to 2021

As we know, there is a big issue related to the privacy of our data. Many major companies in the world still to this day face this issue every single day. Even with a great team of people working on their security, many still suffer. In order to tackle this situation, it is only right that we must study this issue in great depth and therefore I pulled this data from Wikipedia to conduct data analysis. I would encourage others to take a look at this as well and find as many insights as possible.

This data contains 5 columns: 1. Entity: The name of the company, organization or institute 2. Year: In what year did the data breach took place 3. Records: How many records were compromised (can include information like email, passwords etc.) 4. Organization type: Which sector does the organization belong to 5. Method: Was it hacked? Were the files lost? Was it an inside job?

Here is the source for the dataset: https://en.wikipedia.org/wiki/List_of_data_breaches

Here is the GitHub link for a guide on how it was scraped: https://github.com/hishaamarmghan/Data-Breaches-Scraping-Cleaning

--- Original source retains full ownership of the source dataset ---

Washington law requires entities impacted by a data breach to notify the Attorney General’s Office (AGO) when more than 500 Washingtonians personal information was compromised as a result of the breach. This dataset is a collection of various statistics that have been derived from these notices, and is the source of data used to produce the AGO’s Annual Data Breach Report.

The dataset is already in Kaggle. I used it here just because you can check all the possible Results I find in the Data analysis in my project:

Everyone knows about Netflix. Netflix is mostly used for watching TvShow and movie. Can I ask you some questions regarding Netflix? That's the part of my project.

1: How many movies and TV shows video uploaded by Netflix since 2020? 2: ' Friends' is this a TvShow or movie. ? 3: Brad Anderson is movie director or The director? 4: Netflix started from 2008. But in which year Netflix become popular? 5: How many videos upload by Netflix in 2010 or may be in 2017 or in 2015? 6 : How many TvShow were upload by Netflix in 2010 or in 2013? 7: What are the top3 country which mostly used for shooting movie or TvShow? 8: Netflix mostly upload old movies or New Movies? More question are also there regarding this csv file. If you want to grab all the information of Netflix than just visit this project.

Let me explain you how to get all answer.

In this project 8-9 python file are there. Each PYTHON file is used for different analysis regarding Netflix. Also Plotting the results using Matplotlib. Also apply MachineLearning algorithm. Just check each python file because each python file contains 80+ line of code . That's why I make different file so that you can easily hacked the information of Netflix. 8 PYTHON file Every PYTHON file has it's own best description.