3 datasets found
  1. VLOOKUP & PIVOT TABLE

    • kaggle.com
    zip
    Updated May 3, 2023
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    Derrick Mallison (2023). VLOOKUP & PIVOT TABLE [Dataset]. https://www.kaggle.com/datasets/derrickmallison/vlookup-and-pivot-table
    Explore at:
    zip(58855 bytes)Available download formats
    Dataset updated
    May 3, 2023
    Authors
    Derrick Mallison
    Description

    Dataset

    This dataset was created by Derrick Mallison

    Contents

  2. Data from: Sales Performance

    • kaggle.com
    zip
    Updated Oct 31, 2025
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    Vutikonda Johnpaul (2025). Sales Performance [Dataset]. https://www.kaggle.com/datasets/vutikondajohnpaul/sales-performance
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    zip(51903 bytes)Available download formats
    Dataset updated
    Oct 31, 2025
    Authors
    Vutikonda Johnpaul
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains sales transaction records used to create an interactive Excel Sales Performance Dashboard for business analytics practice.

    It includes six columns capturing essential sales metrics such as date, region, product, quantity, sales revenue, and profit. The data is structured to help analysts and learners explore data visualization, PivotTable summarization, and dashboard design concepts in Excel.

    The dataset was created for educational and demonstration purposes to help users:

    1. Build dashboards that visualize total sales and profit trends
    2. Identify top-performing products and high-profit regions
    3. Practice Excel-based business analytics workflows

    Columns: Date – Transaction date (daily sales record) Region – Geographic area of the sale (East, West, North, South) Product – Product category or item sold Sales – Total revenue generated from the sale (USD) Profit – Net profit made per transaction Quantity – Number of units sold

    Typical uses include: Excel or Power BI dashboard projects PivotTable practice for business reporting Data cleaning and chart-building exercises Portfolio development for business analytics students Built and tested in Microsoft Excel using PivotTables, Charts, and Conditional Formatting.

  3. d

    GP Practice Prescribing Presentation-level Data - July 2014

    • digital.nhs.uk
    csv, zip
    Updated Oct 31, 2014
    + more versions
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    (2014). GP Practice Prescribing Presentation-level Data - July 2014 [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/practice-level-prescribing-data
    Explore at:
    csv(1.4 GB), zip(257.7 MB), csv(1.7 MB), csv(275.8 kB)Available download formats
    Dataset updated
    Oct 31, 2014
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jul 1, 2014 - Jul 31, 2014
    Area covered
    United Kingdom
    Description

    Warning: Large file size (over 1GB). Each monthly data set is large (over 4 million rows), but can be viewed in standard software such as Microsoft WordPad (save by right-clicking on the file name and selecting 'Save Target As', or equivalent on Mac OSX). It is then possible to select the required rows of data and copy and paste the information into another software application, such as a spreadsheet. Alternatively, add-ons to existing software, such as the Microsoft PowerPivot add-on for Excel, to handle larger data sets, can be used. The Microsoft PowerPivot add-on for Excel is available from Microsoft http://office.microsoft.com/en-gb/excel/download-power-pivot-HA101959985.aspx Once PowerPivot has been installed, to load the large files, please follow the instructions below. Note that it may take at least 20 to 30 minutes to load one monthly file. 1. Start Excel as normal 2. Click on the PowerPivot tab 3. Click on the PowerPivot Window icon (top left) 4. In the PowerPivot Window, click on the "From Other Sources" icon 5. In the Table Import Wizard e.g. scroll to the bottom and select Text File 6. Browse to the file you want to open and choose the file extension you require e.g. CSV Once the data has been imported you can view it in a spreadsheet. What does the data cover? General practice prescribing data is a list of all medicines, dressings and appliances that are prescribed and dispensed each month. A record will only be produced when this has occurred and there is no record for a zero total. For each practice in England, the following information is presented at presentation level for each medicine, dressing and appliance, (by presentation name): - the total number of items prescribed and dispensed - the total net ingredient cost - the total actual cost - the total quantity The data covers NHS prescriptions written in England and dispensed in the community in the UK. Prescriptions written in England but dispensed outside England are included. The data includes prescriptions written by GPs and other non-medical prescribers (such as nurses and pharmacists) who are attached to GP practices. GP practices are identified only by their national code, so an additional data file - linked to the first by the practice code - provides further detail in relation to the practice. Presentations are identified only by their BNF code, so an additional data file - linked to the first by the BNF code - provides the chemical name for that presentation.

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Derrick Mallison (2023). VLOOKUP & PIVOT TABLE [Dataset]. https://www.kaggle.com/datasets/derrickmallison/vlookup-and-pivot-table
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VLOOKUP & PIVOT TABLE

Explore at:
zip(58855 bytes)Available download formats
Dataset updated
May 3, 2023
Authors
Derrick Mallison
Description

Dataset

This dataset was created by Derrick Mallison

Contents

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