Why would ~30% of total RNA-seq reads map to mitochondrial genes? I was surprised initially. In this case, it made sense: these cells in brown adipose tissue are packed with mitochondria for thermogenesis. iDEP gives you lots of QC plots like this for a sanity check. Don't ignore them. We need more of exploratory analysis in our workflows, not less. Explore your data! Look at the heatmap to see the overall pattern before doing stats. Lots of things can go wrong with an experiment. Interesting note: after cold treatment, the mitochondrial read % slightly decreases. Data: ncbi.nlm.nih.gov/geo/query/a… #RNAseq #Bioinformatics #Mitochondria #BrownAdipose #Thermogenesis #DataQuality #ExploratoryAnalysis #iDEP

#CityAndBuiltEnvironment #IndoorAirQuality #IAQ #AirPurifier #HumanPerception #HerdBehavior #ConsumerBehavior #ExploratoryAnalysis 🔍 "The perception of air purifiers on indoor air quality: effective or human herd behavior?" 🔗Read/download here : link.springer.com/article/10…

[Capital Requirements] 🇺🇸 FRB | Federal Reserve Board Releases 2025 Stress Test Scenarios and Exploratory Analysis for Large Banks • Annual stress test scenarios for 22 large banks include severe global recession and substantial market shocks, such as a 5.9 percentage point rise in U.S. unemployment rate and significant declines in asset prices. • Exploratory analysis introduces additional hypothetical elements to probe risks in non-bank financial institutions and includes a market shock testing the resilience of large and complex banks to hedge fund failures. • Large banks with substantial trading or custodial operations must now account for counterparty default scenarios and global market shocks in their stress test assessments. • Federal Reserve Board aims to reduce stress test results volatility, enhance model transparency, and start the public comment process on comprehensive stress test changes in the 2025 assessment. • Aggregate results for the exploratory analysis will be released alongside the annual stress test results in June 2025, providing a broader view of banking system resilience to various risks. #Banking #FederalReserveBoard #StressTestScenarios #ExploratoryAnalysis #ModelTransparency #BankingSystemResilience #CapitalRequirements federalreserve.gov/newsevent…

GWalkR: 視覚化による探索的データ分析のためのワンストップ R パッケージ - MarkTechPost #DataAnalysis #GWalkR #ExploratoryAnalysis #UserFriendly prompthub.info/34727/

Python Consulting: Unlocking the Power of Python for Your Business bit.ly/46aAiPT #Python #datascience #AI #WebDevelopment #DataAnalytics #dataprocessing #Exploratoryanalysis #NLP #DevOps #TechUnity

Did eda on pokemon dataset i found on kaggle. linkedin.com/posts/aarish-al… #Pokemon #EDA #DataAnalysis #DataScience #Kaggle #PokemonFan #ExploratoryAnalysis #Anime

Unveiling Insights and Techniques for Data Exploration Read more 👉 lttr.ai/ASMZk #UncoverValuableInsights #DataAnalysisProcess #ExploratoryAnalysis #CrucialStep #DeeperUnderstanding #GainMeaningfulInsights #PythonExploratoryAnalysis #UnveilingInsights

Do you know the difference between an exploratory analysis and an explanatory analysis? And when you should use each one? Check out this week's newsletter for all the answers! #data #dataanalysis #exploratoryanalysis #explanatoryanalysis

In this section, we will explore these techniques and discuss how they can be applied to gain meaningful insights from data. Read more 👉 lttr.ai/ARinl #UncoverValuableInsights #DataAnalysisProcess #ExploratoryAnalysis #CrucialStep #DeeperUnderstanding

Data preprocessing is central in #DataScience Science and must abide to the rules of #Statistics. It comprises #ExploratoryAnalysis, #DataVisualization and cleaning and treating the data - the realm of #DescriptiveStatistics. This #Jupyter notebook file github.com/drs2022ds/messy-d… contains the steps for preprocessing retail business data. Check the index bellow and give me your feedback. TABLE OF CONTENTS 1. Importing the Data 1.1. Describing the datasets 1.2. Installing and importing the required libraries 1.3. Importing, integrating and indexing the data 1.4. Checking for duplicates 2. Descriptive Statistics: Exploring and Visualizing the Data 2.1. Dataset overview 2.2. Separating quantitative and qualitative variables 2.3. Univariate analysis 2.3.1. Quantitative variables 2.3.2. Qualitative variables 2.4. Multivariate analysis 3. Cleaning the Data 3.1. Missing values 3.2. Inconsistencies 3.3. Zero and near-zero variance 3.4. Constant and near-constant features 4. Transforming the Data4.1. Creating new variables 4.2. Scaling the data 4.3. Normalizing the data 4.4. Outlier detection 5. Advanced Statistical Exploration 5.1. Multicollinearity detection 5.2. Association between quantitative and qualitative variables 6. Dimensionality Reduction 6.1. Principal Component Analysis (PCA) for quantitative variables 6.2. Multiple Correspondence Analysis (MCA) for qualitative variables

Delve into the world of exploratory analysis with this comprehensive guide in Python Read more 👉 lttr.ai/ARUl7 #UncoverValuableInsights #DataAnalysisProcess #ExploratoryAnalysis #CrucialStep #DeeperUnderstanding #GainMeaningfulInsights #PythonExploratoryAnalysis

In Python, there are several essential techniques for exploratory analysis that are widely used by data scientists and analysts. Read more 👉 lttr.ai/ARKx4 #UncoverValuableInsights #DataAnalysisProcess #ExploratoryAnalysis #CrucialStep #DeeperUnderstanding

Essential Types of Data Analysis #DescriptiveAnalysis: Summarises historical data. #DiagnosticAnalysis: Identify root causes. #PredictiveAnalysis: Forecast future outcomes. #PrescriptiveAnalysis: Recommend actions. #ExploratoryAnalysis: Uncovers hidden insights.

A good understanding of complicated datasets can be cleaned with a very basic method. Read the article and learn what exploratory analysis, types, tools, and more is! forms.app/en/blog/explorator… #ExploratoryAnalysis #DataScience

Exploratoryanalysis is done when you are searching for insights. Explanatoryanalysis is done when you are providing your results for others.

Exploring t-SNE's Versatile Applications Across Diverse Domains! 🌟 #DataAnalysis #MachineLearning #tSNE #DataVisualization #AI #Genomics #Analysis #ImageAnalysis #ExploratoryAnalysis #NLP #DataScience #DataAnalytics #ArtificialIntelligence #Analytics #DataViz #BuymoreAnalytix

Time to explore time series data! Check out this comprehensive guide on #ExploratoryAnalysis for Time Series data. #DataScience #AI #TimeSeries towardsdatascience.com/compr…

I just published 📚 Data Science Book Analysis: a detailed analysis of #DataScience books on Amazon. 📘We uncover trends with #ExploratoryAnalysis, identify patterns with #clustering and reveal key insights by applying #NLP with #BERT! link.medium.com/GuwrN9HEnEb

EXPLORATORY ANALYSIS OF SLEEP PATTERNS AND FACTORS USING TWITTER DATA INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY Volume : 4, Issue : 1, January-June 2023 iaeme.com/Home/article_id/IJ… #ExploratoryAnalysis #SleepAnalysis #Twitter

#PredictiveAnalytics #BusinessIntelligence #DataVisualization #Exploratoryanalysis #ExploratoryDataAnalysis #DescriptiveStatistics #DataWrangling #DataCleaning #DataPreprocessing