Exploratory Data Analysis On Super Store Datasetcsv File

Github Snehazest Exploratory Data Analysis Retail On Dataset Sample Loading the dataset: the dataset, "samplesuperstore.csv," is loaded into a pandas dataframe, allowing us to work with the data efficiently. exploring the dataset: we perform initial data exploration to understand the structure and contents of the dataset. I will be performing an exploratory data analysis on the sample superstore dataset.

Github Edwinosayuki Superstore Sales Dataset Exploratory Data Analysis Excluding the row id, there are 5 numerical columns. there are 15 non numeric columns in the dataset. all columns are free of missing values. skewness is important because it provides valuable information about the distribution of data, particularly regarding the presence and impact of outliers. Dataset source: publicly available “superstore sales” dataset (csv format) contents: sales transactions including order ids, product categories, sales amounts, profits, shipping costs, discounts, dates, and customer regions. Key tasks undertaken include data quality check, exploratory data analysis (eda), statistical analysis, and visualization of trends and patterns within the dataset. the main objective of this project is to extract actionable insights from the dataset to drive business decisions and strategies. We thought that the best place to start answering these questions would be the dataset of superstore. this dataset provides information related to sales orders.

Github Edwinosayuki Superstore Sales Dataset Exploratory Data Analysis Key tasks undertaken include data quality check, exploratory data analysis (eda), statistical analysis, and visualization of trends and patterns within the dataset. the main objective of this project is to extract actionable insights from the dataset to drive business decisions and strategies. We thought that the best place to start answering these questions would be the dataset of superstore. this dataset provides information related to sales orders. This project is a complete exploratory data analysis (eda) of a us superstore dataset. the goal is to uncover business insights from sales data and visualize important trends related to products, customers, and overall performance. Here’s the source link for the dataset that i have used for this project — superstore.csv. once you have the dataset, the next step is to import it into our python environment using the. Exploratory data analysis on superstore dataset . contribute to judy youssef powerbi superstore development by creating an account on github. In this article, i am going to perform an exploratory data analysis on the sample superstore dataset. the link for the dataset is: bit.ly 3i4rbwl. you can download it from the link.

Github Edwinosayuki Superstore Sales Dataset Exploratory Data Analysis This project is a complete exploratory data analysis (eda) of a us superstore dataset. the goal is to uncover business insights from sales data and visualize important trends related to products, customers, and overall performance. Here’s the source link for the dataset that i have used for this project — superstore.csv. once you have the dataset, the next step is to import it into our python environment using the. Exploratory data analysis on superstore dataset . contribute to judy youssef powerbi superstore development by creating an account on github. In this article, i am going to perform an exploratory data analysis on the sample superstore dataset. the link for the dataset is: bit.ly 3i4rbwl. you can download it from the link.

Github Edwinosayuki Superstore Sales Dataset Exploratory Data Analysis Exploratory data analysis on superstore dataset . contribute to judy youssef powerbi superstore development by creating an account on github. In this article, i am going to perform an exploratory data analysis on the sample superstore dataset. the link for the dataset is: bit.ly 3i4rbwl. you can download it from the link.