Agin ElvisforShe Code Africa Nairobiscanairobi.hashnode.net·Jun 28, 2022Exploratory Data AnalysisIntroduction Picture this, you are a developer from Nigeria attending Google IO Extended at Strathmore University in Nairobi, Kenya as a speaker. Undoubtedly some of the questions you'll ask yourself in preparation for your journey will be: Where is...Discuss·12 likes·136 readsMachine Learning
Oluwatobi OniforTHE NINE(Data Analysts)shportfoliogroup9.hashnode.net·Jul 9, 2022The Self-Destruct Examination; An Exploratory Data Analysis (EDA) on the Global Burden of SuicideIntroduction: For every person who successfully took their life, hundreds have tried but failed. World Health Organization (WHO) estimates the global suicide rate to be about 700,000 yearly, of which 77% of global suicides occur in low- and middle-in...Discuss·3 likes·91 readsexploratory data analysis
Shivank SharmaforShivank Sharmashivanksharma.hashnode.net·Jan 15, 2023Data Science: Do's and Don'ts of Exploratory Data AnalysisExploratory Data Analysis(EDA) is a process that helps with understanding the patterns and structures in data. However, it's easy to make mistakes during EDA that can lead to incorrect conclusions. Here are some common mistakes to watch out for and h...Discuss·1 like·68 readsData Science
Akash Kumarforakashkunwar.hashnode.net·Apr 24, 2023Data Visualization Tools: Making Complex Data Analysis Simple and AccessibleThe visualization of data allows us to easily analyze and understand complex information in a graphical or pictorial format. Data visualization tools help transform raw data into meaningful insights by creating visually appealing and interactive visu...Discussdata visualization
Akash Kumarforakashkunwar.hashnode.net·Apr 21, 2023Exploratory data analysis (EDA) : A step-by-step guideExploratory data analysis (EDA) is an essential step in data analysis. In this process, patterns, relationships, and anomalies are uncovered by analyzing and understanding the data without making any assumptions about the population in which the data...Discusseda
Rhythm RawatforData Rhythmsrhythmblogs.hashnode.net·Mar 30, 2023Streamline Your Data Science Workflow: Essential 20 Pandas Functions You Must MasterHey guys, hope you are doing great. Pandas is a powerful data manipulation library in Python that is widely used in data science. In this blog, we will explore 20 pandas functions that can cover 80% of your data science tasks, from loading data to da...DiscussPython
Rhythm RawatforData Rhythmsrhythmblogs.hashnode.net·Mar 28, 2023Everything you need to know about Feature EngineeringHey guys, hope you are doing great. In the previous article, we understood Exploratory Data Analysis. In this article, you'll know everything about feature engineering. Feature engineering is the process of creating new features from existing data th...Discussfeature engineering
Rhythm RawatforData Rhythmsrhythmblogs.hashnode.net·Mar 27, 2023Everything you need to know about Exploratory Data AnalysisExploratory Data Analysis (EDA) is an important step in the data analysis process that involves examining and visualizing data to extract insights and discover patterns. It is an iterative process that helps analysts to understand the data, uncover r...Discuss·32 readsexploratory data analysis
Rhythm RawatforData Rhythmsrhythmblogs.hashnode.net·Mar 25, 2023Pearson correlation coefficient and Spearman's rank correlation coefficientHey everyone, hope you are doing great. In the previous article, we understood correlation and covariance. Cov(x,y) helps us to identify the relationship between x and y i.e. if the value of Cov(x,y) is +ve, this means the value of x increases when t...Discussstatistics
Peter WainainaforPeter Wainaina's Blogwainainapierre.hashnode.net·Mar 22, 2023The Ultimate Guide to Exploratory Data AnalysisThis is the ultimate guide to exploratory Data Analysis. Exploratory data analysis (EDA) is an approach to analyzing and summarizing datasets to identify patterns, trends, and relationships. It is very important in the Data Science Life Cycle because...DiscussData Science
Pius MutumaforMutuma's Thoughtsmutuma.hashnode.net·Feb 26, 2023Mastering Exploratory Data Analysis: A Comprehensive Guide to Unlocking Insights from Your DataTechnology is continuously growing, and so is the amount of data being made available. Businesses and organizations are also changing how they make decisions. Data is being used to understand business trends and forecast the future. Informed decision...Discuss·44 readsexploratory data analysis
Shivank SharmaforShivank Sharmashivanksharma.hashnode.net·Jan 15, 2023Data Science: Do's and Don'ts of Exploratory Data AnalysisExploratory Data Analysis(EDA) is a process that helps with understanding the patterns and structures in data. However, it's easy to make mistakes during EDA that can lead to incorrect conclusions. Here are some common mistakes to watch out for and h...Discuss·1 like·68 readsData Science
Hassan Faridforhassanfarid.hashnode.net·Jan 15, 2023Demystifying Duplicate Values, their Causes, and PreventionsDuplicate Values are one of the major factors in demeaning data integrity. This is because duplicates are simply a copy of an already present record in a dataset appearing multiple times. Duplicates thus are a very common problem that induces biases ...Discuss·35 readsData Science
