{"id":25900609,"url":"https://github.com/jigyasag18/data-analysis-using-ms-excel","last_synced_at":"2026-03-07T13:31:05.552Z","repository":{"id":262458411,"uuid":"887298256","full_name":"jigyasaG18/Data-Analysis-using-MS-Excel","owner":"jigyasaG18","description":"This project is on analyzing real-time data from Ambuvians Healthcare, a health products startup. It included data cleaning, such as removing duplicates and addressing missing values, followed by analyses to reveal insights into sales trends, customer demographics, and purchasing behaviors. 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The project involved cleaning the dataset, performing various analyses, and visualizing the findings using graphs and charts. Below, I address the specific analytical questions posed by the project and summarize the results derived from the dataset.\n\n## 6.1 Data Cleaning and Preparation\nThe first step in this project was cleaning the data. The dataset included entries related to sales, orders, customer demographics, and product categories. Important data cleaning tasks included:\n- Removing Duplicates: Identified and eliminated any duplicate order entries to ensure accuracy.\n- Handling Missing Values: Checked for and addressed any missing data points to maintain the integrity of the analysis.\n- Standardizing Formats: Ensured consistency in date formats, categorical data, and numerical representations.\nFollowing the data cleaning process, the dataset was ready for analysis.\n\n## 6.2 Analysis and Findings\n\n1. Comparison of Sales and Orders\nUsing a single chart, sales and order comparisons were visualized. The data depicted a growth trend in sales corresponding with the number of orders over the months. This analysis highlights the correlation between sales volume and order count, affirming the efficiency and efficacy of customer engagement strategies throughout the examined period.\n2. Highest Sales and Orders by Month\nThe month with the highest sales and orders was March.\n![image](https://github.com/user-attachments/assets/80dd0a44-035a-402a-be5d-4e7d59a2e226)\n\n3. Gender Purchasers in 2022\nIn 2022, Women accounted for more purchases compared to men.\n![image](https://github.com/user-attachments/assets/0026d344-59c0-46d5-bbe9-121b0270d6b5)\n\n\n4. Order Statuses in 2022\nThe following order statuses emerged from the analysis, indicating various outcomes of customer transactions:\n![image](https://github.com/user-attachments/assets/95b647d8-49f4-41d5-bfa2-5917d62bfc5e)\n\n\n5. Top States Contributing to Sales\nThe states contributing most significantly to sales in 2022 are as follows:\n![image](https://github.com/user-attachments/assets/9e63e1f7-ca86-46be-a4ad-f1a4f3f392d7)\n\n6. Relation Between Age and Gender\nThe analysis indicated a varied breakdown of age groups across genders, reflecting purchasing behavior:\n![image](https://github.com/user-attachments/assets/20a61aa1-6637-4de2-b16c-20168a2bb6ac)\n\n\n7. Sales Channel Contribution\nAmazon emerged as the channel contributing the maximum sales for Ambuvians Healthcare:\n![image](https://github.com/user-attachments/assets/0ba32b5f-047f-416c-a55f-6651f7a1cba3)\n\n8. Highest Selling Category\nThe highest-selling product category was Set:\n![image](https://github.com/user-attachments/assets/3171a708-08cb-4aaf-8f6c-54bf969fed0d)\n\n## 6.3 Visualizations\nGraphs were created using MS-Excel software tool to efficiently present the findings. Specific visualizations included:\n- Bar Charts to show sales and orders by month.\n- Pie Charts illustrating the proportion of purchases by gender.\n- Stacked Bar Charts to visualize order statuses.\n- State contributions represented as horizontal bar graphs.\nThese visual aids succinctly summarize the analytical findings, making it easier for stakeholders to grasp key insights at a glance.\n\n## 6.4 Conclusion\nThe analysis of Ambuvians Healthcare's data has provided significant insights into sales trends, customer demographics, purchasing channels, and product categories. The findings suggest that women significantly outpurchased men, with Amazon being the leading sales channel. Moreover, March stood out as the peak month for sales and orders, illustrating a notable period for the company. \nThe project underscored the importance of data cleaning in providing accurate analysis results, as well as the valuable role of graphical representations in conveying complex data in an understandable format. These insights will help inform strategic decisions for the future growth of Ambuvians Healthcare.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjigyasag18%2Fdata-analysis-using-ms-excel","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjigyasag18%2Fdata-analysis-using-ms-excel","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjigyasag18%2Fdata-analysis-using-ms-excel/lists"}