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Business Sales Time Series Starter
Data Science and Analytics
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About
This dataset is designed as a starter resource for time series forecasting, particularly for business sales prediction. It provides a foundation for applying machine learning to time series data, addressing the common challenge of finding high-quality, standard datasets for practice. This dataset is invaluable for almost every data scientist to develop and refine their skills in handling time series data, beginning with fundamental concepts. Its primary purpose is to enable the prediction of future sales outcomes.
Columns
- Period: Represents the specific time period for modelling. Data ranges from January 2015 to January 2022. There are 96 valid entries, with a mean period around July 2018.
- Revenue: Details the company's revenue. Values range from £14 million to £58.8 million, with an average of £32.4 million and a standard deviation of £11.6 million. There are 64 valid entries and 32 missing values (33%).
- Sales_quantity: Indicates the company's sales volume. Quantities range from 8,314 to 38,100 units, with an average of 19,200 units and a standard deviation of 6,540 units. There are 64 valid entries and 32 missing values (33%).
- Average_cost: Specifies the average cost of production. Figures range from £1,110.58 to £2,559.33, with an average of £1,700 and a standard deviation of £295. There are 64 valid entries and 32 missing values (33%).
- The_average_annual_payroll_of_the_region: Represents the average number of employees in the region per year. Values span £27.4 million to £30.0 million, with an average of £28.7 million and a standard deviation of £1.05 million. There are 64 valid entries and 32 missing values (33%).
Distribution
The dataset is provided as a CSV file (Month_Value_1.csv), with a size of 4.32 kB. It comprises 5 columns. The 'Period' column contains 96 records, while 'Revenue', 'Sales_quantity', 'Average_cost', and 'The_average_annual_payroll_of_the_region' each have 64 valid records, indicating 32 missing records (33%) for these financial and payroll metrics.
Usage
This dataset is ideal for time series forecasting applications, particularly for predicting future sales figures. It is suitable for those looking to implement machine learning models on sequential data, offering a practical foundation for initial experimentation and skill development in forecasting business-related metrics.
Coverage
The dataset covers a time range from 1st January 2015 to 12th January 2022. The sources do not specify any particular geographic or demographic scope for this data.
License
CC0: Public Domain
Who Can Use It
This dataset is primarily intended for data scientists who wish to gain or enhance their expertise in time series analysis and forecasting. It is suitable for individuals and teams looking to understand and apply machine learning techniques to business sales data.
Dataset Name Suggestions
- Business Sales Time Series Starter
- Sales Forecasting Dataset
- Company Revenue & Sales Time Series
- Economic Time Series Data
- Business Metrics Forecasting
Attributes
Original Data Source: Business Sales Time Series Starter
QUALITY