Python Data Analysis Help Needed (EDA in Jupyter Notebook) -- 2

@ZohaibRoy

⭐⭐⭐⭐⭐ Create Clean Exploratory Data Analysis (EDA) in Jupyter Notebook ❇️ Hi My Friend, I hope you are doing well. I just checked all of your project requirements, and I can see you are looking for someone experienced in Python and data analysis. You have no need to look any further as Zohaib is here to help you! My team has successfully completed 50+ similar projects for data analysis. I will explore your dataset, document insights, and provide a clean Jupyter Notebook with clear visualizations, all within your budget. ➡️ Why Me? I can easily do your Exploratory Data Analysis as I have 5 years of experience in Python, data cleaning, and visualization. My expertise includes using Jupyter, pandas, and basic machine learning techniques. Not only this, but I also have a strong grip on data visualization tools, ensuring a comprehensive and efficient analysis for your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Python Programming ✅ Data Analysis ✅ Jupyter Notebook ✅ Pandas Library ✅ Data Cleaning ✅ Data Visualization ✅ Handling Missing Values ✅ Outlier Analysis ✅ Anomaly Detection ✅ Machine Learning Basics ✅ GitHub Management ✅ Report Generation Waiting for your response! Best Regards, Zohaib

@WycOj

As a seasoned Biostatistician, Data Analyst and Researcher, I not only excel in Python but also have substantial experience conducting Exploratory Data Analysis (EDA) using Jupyter Notebooks. I understand the significance of extracting meaningful insights from a dataset and ensuring thorough documentation. Thus, I offer an exclusive skillset tailored towards your project's goals - understanding dataset structures, handling missing values, outliers, and anomalies with appropriate data cleaning techniques, observing and visualizing data trends, and incorporating secondary datasets for comprehensive comparisons. In line with your project's requirements, I have command over relevant tools such as pandas for data management and manipulation, NumPy for efficient numerical computations, and seaborn/matplotlib for producing clear graphics. My proficiencies extend beyond mere EDA - providing Machine Learning solutions like regression analysis to drive predictions aligning with your identification of baseline models. To showcase my deliverables aptly, my approach to creating a detailed Jupyter Notebook (exported as a PDF) is strengthened by my concurrent experience with GitHub which allows easier revision and sharing of the project. Rely on my all-encompassing proficiency in tools like Excel for seamless data visualization along with my analytical prowess to conduct comprehensive statistical analysis; guaranteeing quality findings backed up by meticulous documentation.

@HanyasSalem

Hi there, I’m excited to support your project by developing a clean, well‑structured Exploratory Data Analysis (EDA) workflow in a Jupyter Notebook. 1. Dataset Structure & Initial Exploration: 2. Missing Values, Outliers & Anomaly Analysis: - Quantify missingness and visualize patterns - Detect outliers using statistical and visual methods (e.g., boxplots, z‑scores, IQR) - Identify anomalies and discuss potential causes and implications 3. Data Cleaning with Documentation: - Handle missing values using appropriate strategies (imputation, removal, or flagging) - Address outliers and inconsistencies - Provide clear markdown explanations for each cleaning decision 4. Visual Explorations & Insights - Generate meaningful visualizations (histograms, pairplots, correlation heatmaps, bar charts, etc.) - Summarize insights in well‑written narrative form - Highlight relationships, trends, and potential drivers of variation 5. Integration of an Additional Open‑Source Dataset - Select a relevant public dataset (e.g., from Kaggle or UCI) - Perform a comparative analysis to enrich context - Document similarities, differences, and complementary insights 6. Baseline Machine Learning Model: - Train a simple model (e.g., logistic regression, decision tree, or linear regression depending on the task) - Evaluate performance using appropriate metrics - Provide interpretation and recommendations for next steps

@ShaikhAneesa

Hello, I have thoroughly analyzed the project requirements for Python Data Analysis Help Needed, specifically focusing on conducting Exploratory Data Analysis in a Jupyter Notebook. Let's chat and discuss it further. To handle your project, I will start with conducting a detailed overview of the dataset structure and features. Following this, I will analyze missing values, outliers, and anomalies, perform basic data cleaning with clear explanations, create insightful visualizations, and include an additional open-source dataset for comparison. Finally, I will run a simple baseline model to provide a comprehensive analysis. The deliverables for this project will include a detailed Jupyter Notebook exported as a PDF (minimum ~3 pages) and a GitHub link containing the notebook. Before signing-off my bid, I would like to ask a question, i.e., how soon would you need the initial draft of the Jupyter Notebook? Best Regards, Aneesa.

@tadinhkien

Thank you for considering my application for this project. As an AI Engineer and Python Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Python, Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

@koolvishruth

Hello, I am Python Data Analyst with 8 years of experience and I can deliver jupyter notebook as mentioned. Let’s connect to know more

@OWINOKAMAU

Hi! I can help you build a clean, well-structured EDA in Jupyter that clearly communicates insights. I have strong experience with Python, pandas, and data visualisation, and I’ll ensure thorough analysis of missing values, outliers, and feature distributions with clear explanations. I’ll also include a comparable open-source dataset and implement a simple baseline model for context. You’ll receive a polished notebook (PDF, ~3+ pages) and a well-organised GitHub repo. Ready to start right away!

@TheRSTeam

Hi, I can create a clean, well-structured EDA in a Jupyter Notebook that clearly explores your dataset and documents actionable insights. I’ll cover dataset structure, feature overview, missing values, outliers, and apply basic data cleaning with clear explanations. Strong experience with Python, pandas, and Jupyter-based analysis. I build reproducible notebooks with clear visualisations, well-documented observations, integration of a relevant open-source dataset for comparison, and a simple baseline model to support insights. The final output will be export-ready (PDF) and organized in a GitHub repository. Should the comparison dataset match the same domain strictly, or is a closely related dataset acceptable for broader insight? Please message me to start and share your dataset, or review my past client feedback on similar EDA and notebook projects.

@KolmanOuassou

Hello, I see you need a structured and well-documented EDA in a Jupyter Notebook with clear insights and reproducible steps. I’ll analyze dataset structure, detect missing values and anomalies, perform cleaning, and present findings through clear visualisations and commentary. Experienced in Python data analysis using pandas, NumPy, and matplotlib/seaborn, I focus on clarity, reproducibility, and strong documentation. I will also include a relevant open-source dataset for comparison and implement a simple baseline model, then deliver the notebook as a PDF along with a GitHub link. Do you prefer the baseline model to remain very simple (e.g., linear/logistic regression) or include a slightly stronger benchmark model? Let’s connect so you can share the dataset and requirements, or check my previous client reviews to see similar work delivered.

@programmingarena

Hello there, ✸✸✸Senior Python Developer is Here✸✸✸ I’ve checked your project – “Python Data Analysis Help Needed (EDA in Jupyter Notebook) -- 2” And read the description carefully. As a professional Python Developer, I’m damn sure that I can “help you to structure a clean Exploratory Data Analysis (EDA) in a Jupyter Notebook” as you required. I’ve completed a lot of Python project based on ✔Django, ✔Pandas, ✔Flask, ✔FastAPI, ✔Jupyter Notebook, ✔Automation, ✔Selenium & etc. Libraries in various platform. Here is some of my recent completed Python Project: ✔️ https://www.freelancer.com/projects/api-developmet/Python-IBKR-Trading-Template/details ✔️ https://www.freelancer.com/projects/python/Python-Programmer-for-Mathematical/details ✔️ https://www.freelancer.com/projects/python/Looking-for-Python-expert-code/details ✔️ https://www.freelancer.com/projects/python/Python-Backgammon-Game-Debugging-37926848/details Also you can visit my profile and check all the Reviews of my previous all Python Project to get the idea about my knowledge and skills. I’m ready to be hired or ready to be awarded as I can start this task Right Now. So, I’m waiting for your response in chat box. Best Regards! Eng. Bablu Mondol

@SakibKaiser

Hello, I've completed 30+ Python data analysis projects in Jupyter across finance, healthcare, and e-commerce. Relevant projects: Customer Churn Analysis — 40% feature noise reduction, logistic regression baseline at 84% accuracy Sales Forecasting EDA — merged 3 open-source datasets, uncovered seasonal anomalies, informed pricing strategy Workflow: Dataset audit → cleaning → visualizations → open-source dataset integration → baseline model → PDF export + GitHub repo. DM me to get started. Best Regards, Shakib A.

@jepita200

Hello there,, I have reviewed your requirements and I'm confident that my experience and skills align perfectly with what you're looking for. I'm confident my skills are perfect for the job! As an accomplished AI expert with a strong proficiency in python programming and data processing, I feel confident that I can complete your project brilliantly within the given timeline. My 10+ years of professional experience have equipped me with in-depth knowledge and expertise in various fields of artificial intelligence, especially computer vision, machine learning, deep learning, and image processing -- all of which could greatly benefit your project. Client interaction is another aspect where I strongly focus; together we can optimize not just the Python implementation but the project's overall progression too. Having said that, let's discuss this further and embark on a project journey that exceeds your expectations! Best Regrads.....

@HiraMahmood4072

Hello, With over 7 years of experience in Data Science, Statistical Analysis, Research, and Python, I have the expertise required to assist you with your Python Data Analysis project. I have carefully reviewed the project description and am confident in my ability to deliver a structured Exploratory Data Analysis (EDA) in a Jupyter Notebook. For this project, I plan to start by providing an overview of the dataset structure and features, followed by a detailed analysis of missing values, outliers, and anomalies. I will then proceed with basic data cleaning, accompanied by clear explanations. Visualizations and observations will be included to showcase insights, along with the integration of an additional open-source dataset for comparison purposes. Finally, I will run a simple baseline model to further enhance the analysis. I believe that my skills in Python, Jupyter, pandas, and basic machine learning align well with the requirements of this project. I would love to discuss the project further in chat to ensure that I can meet your specific needs. You can visit my Profile at: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@mattafareed4848

Hello I can create a clean and well-documented EDA in Jupyter Notebook with data overview, missing value and outlier analysis, proper cleaning, clear visualizations, an additional dataset comparison, and a simple baseline model, delivered as a PDF and GitHub link. Regards Muhammad

@GdevDataSceince

Hi there, I am a Data Scientist and am a professional responsible for extracting actionable insights and knowledge from large volumes of data. As an experienced Data Scientist in the field of machine learning, I am highly proficient in Python and have a deep understanding of algorithms and data structures. My skills make me a great fit for your project as I can guide you through comprehensive coverage of data structures and algorithms while providing patient and thorough explanations. I have over 12-plus years of experience with Python Library Pandas, Karas, TensorFlow, NumPy, PyCharm, Py torch, Open CV, NLP, and others. With over a decade's worth of experience under my belt, including expertise in NLP, Neural Networks, CNNs, RNNs, LSTM, GANs just to mention a few, I can provide you not only with knowledge but also how to apply it efficiently. Partnering with me ensures you have a patient, knowledgeable and skilled tutor who is dedicated to your success in this field. My top priority is to provide a high quality of work, https://www.freelancer.com/u/GdevDataSceince Let's discuss this further via chat, and I'll start your project right now. Thanks Gdev

@Bhartifreelancer

Hi there, I have checked your project, which requires Python Data Analysis Help Needed. I’m a professional academic writer with 7 years’ experience penning different academic research, thesis, essay, and dissertation on various subjects. I am well skilled with numerous citation and referencing styles, including APA, MLA, HARVARD, CHICAGO and Turbain along with skills of MATLAB, Python, SPSS, Machine Learning, Data Science, R Studio, Ansys, Cloud computing etc. Please feel free to connect with me in the chat. Regards Bharti

@khaliduom103

‎Hi i am an experienced python Jupyter notebook and strong insighter of the data cleaning and developer with PhD in applied mathematics.I can help you python coding, optimization, numerical and stock data prediction with the help of CNN, ANN and PINN. ‎

@mayankinnovative

Hi, As per my understanding: You need a well-structured EDA in a Jupyter Notebook that clearly explores your dataset, explains insights, handles missing data/outliers, includes visualizations, compares with an additional dataset, and ends with a simple baseline model—delivered as a PDF and GitHub repo. Implementation approach: I will organize the notebook in a clean, narrative format: dataset overview, feature analysis, missing values/outlier detection, and data cleaning with clear explanations. Visualizations (matplotlib/seaborn) will highlight trends and anomalies. I’ll integrate a relevant open-source dataset for comparison to strengthen insights. Then, I’ll build a simple baseline model (e.g., regression/classification depending on data) with performance metrics. The notebook will be well-commented, reproducible, and exported to a polished PDF, along with a structured GitHub repository. A few quick questions: 1. What type of dataset are you working with? 2. Any preferred libraries (only pandas/sklearn or others)? 3. Should the baseline model focus on prediction or classification? 4. Any specific visualization style required? 5. What is your deadline for submission?

@maxscender

I can help you. To ensure the baseline model is scientifically sound, I will implement a strict data split before transformation to prevent data leakage—a common oversight in basic EDAs where global cleaning affects training integrity. For the external dataset comparison, I will focus on feature normalization and distribution alignment to ensure the comparative insights are statistically valid rather than just visual. I’ll also handle the PDF export with specific layout adjustments to prevent the typical Jupyter issue of truncated charts and wide tables, ensuring the 3-page report remains professional and readable.