Analyzing A Dataset And Writing A “First Glance” Technical Report Article
Introduction
This report aims to provide a quick review of the dataset named Retail dataset The review includes an assessment of the dataset's structure, quality, and initial observations. This dataset is sales data showing the sales and order of Motorcycle, Classic cars, Trucks & Buses within the period year of 2003 – 2005 to various countries.
Loading the Data:
The dataset was loaded using Microsoft Excel. The initial inspection and cleaning of the data such as the removal of duplicated order, and open space was performed to understand its structure.
Observation:
From the dataset and primary statistical analysis performed, the following observation was generated:
Non-of the prices for any of the products is above 100
The dataset has a mix of numerical and categorical data
The maximum price is 100 and the minimum price is 34.91.
The year 2004 has the highest quantity order of motorcycles, classic cars, trucks &buses, while the year 2005 is the smallest in all product quantity ordered.
The USA has the maximum ordered quantity of motorcycles, classic cars, trucks &buses with respective values of 1.825, 2,138 and 317.
It was observed that in the total of 307 numbers of orders, 292 were shipped, 4 were cancelled, 4 were disrupted, 3 were in progress, 2 were on hold and 2 were resolved.
It was observed that classic cars have the highest number of orders (175) followed by motorcycles (104) and trucks &buses (28)
Visualizations:
Histograms, bar charts, pie charts, and heat maps were used to visualize the data distribution and relationships between variables.
SUM OF QUANTITY ORDERED BY YEAR
SUM OF QUANTITY ORDERED BY COUNTRY
PRODUCT ODER CHART
Conclusion:
All product prices are within the range of 34.91 to 100, and the dataset contains a mix of numerical and categorical data. The highest quantity of motorcycles, classic cars, and trucks & buses was ordered in 2004, while 2005 saw the lowest quantities ordered. Classic cars are the most ordered product category, followed by motorcycles and trucks & buses. The USA leads in ordered quantities for motorcycles, classic cars, and trucks & buses. Furthermore, I suggest we go deep to know what enhances and as well affects the rate of order.