I will do exploratory data analysis eda using python
Designing Dashboards That Drive Decisions
About this Gig
Need a professional Exploratory Data Analysis (EDA) expert? I will transform your raw data into meaningful insights using Python, Pandas, NumPy, Matplotlib, Seaborn, R, Excel,Power Bi and Tableau. Whether you're a business owner, researcher, or student, I provide accurate data analysis, data cleaning, feature engineering, statistical analysis, and compelling data visualization tailored to your goals.
My services include handling missing values, duplicates, and outliers, performing univariate, bivariate, and multivariate analysis, conducting hypothesis testing, ANOVA, and correlation analysis, and creating professional charts and interactive Tableau dashboards that clearly communicate your data story. Every project includes a well-documented Jupyter Notebook, insightful visualizations, and actionable recommendations to support data-driven decision-making.
I focus on delivering clean, reproducible analysis, fast communication, and high-quality results that help you understand your data and make confident decisions. Contact me before ordering to discuss your dataset and project requirements.
FAQ
What file formats do you accept?
I work with CSV, Excel (XLS/XLSX), Google Sheets, SQL exports, and other tabular datasets. If you're unsure about your file format, feel free to message me.
What is included in your Exploratory Data Analysis (EDA)?
My EDA includes data cleaning, preprocessing, feature engineering, univariate, bivariate, and multivariate analysis, statistical testing (ANOVA, hypothesis testing, correlation), professional visualizations, and actionable insights.
do you create Tableau dashboards?
Yes! I can design interactive, professional Tableau dashboards to present your data clearly. Dashboard creation is available in the appropriate package or as a gig extra.
Do you perform statistical analysis?
Yes. I perform statistical analysis including hypothesis testing, ANOVA, correlation analysis, and other methods where appropriate for your dataset.

