Company Datasets for valuable business insights!
Discover new business prospects, identify investment opportunities, track competitor performance, and streamline your sales efforts with comprehensive Company Datasets.
These datasets are sourced from top industry providers, ensuring you have access to high-quality information:
We provide fresh and ready-to-use company data, eliminating the need for complex scraping and parsing. Our data includes crucial details such as:
You can choose your preferred data delivery method, including various storage options, delivery frequency, and input/output formats.
Receive datasets in CSV, JSON, and other formats, with storage options like AWS S3 and Google Cloud Storage. Opt for one-time, monthly, quarterly, or bi-annual data delivery.
With Oxylabs Datasets, you can count on:
Pricing Options:
Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.
Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.
Experience a seamless journey with Oxylabs:
Unlock the power of data with Oxylabs' Company Datasets and supercharge your business insights today!
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset is used in a data cleaning project based on the raw data from Alex the Analyst's Power BI tutorial series. The original dataset can be found here.
The dataset is employed in a mini project that involves cleaning and preparing data for analysis. It is part of a series of exercises aimed at enhancing skills in data cleaning using Pandas.
The dataset contains information related to [provide a brief description of the data, e.g., sales, customer information, etc.]. The columns cover various aspects such as [list key columns and their meanings].
The original dataset is sourced from Alex the Analyst's Power BI tutorial series. Special thanks to [provide credit or acknowledgment] for making the dataset available.
If you use this dataset in your work, please cite it as follows:
Feel free to reach out for any additional information or clarification. Happy analyzing!
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Intellectual Property Government Open Data (IPGOD) includes over 100 years of registry data on all intellectual property (IP) rights administered by IP Australia. It also has derived information about the applicants who filed these IP rights, to allow for research and analysis at the regional, business and individual level. This is the 2019 release of IPGOD.\r \r \r
IPGOD is large, with millions of data points across up to 40 tables, making them too large to open with Microsoft Excel. Furthermore, analysis often requires information from separate tables which would need specialised software for merging. We recommend that advanced users interact with the IPGOD data using the right tools with enough memory and compute power. This includes a wide range of programming and statistical software such as Tableau, Power BI, Stata, SAS, R, Python, and Scalar.\r \r \r
IP Australia is also providing free trials to a cloud-based analytics platform with the capabilities to enable working with large intellectual property datasets, such as the IPGOD, through the web browser, without any installation of software. IP Data Platform\r \r
\r The following pages can help you gain the understanding of the intellectual property administration and processes in Australia to help your analysis on the dataset.\r \r * Patents\r * Trade Marks\r * Designs\r * Plant Breeder’s Rights\r \r \r
\r
\r Due to the changes in our systems, some tables have been affected.\r \r * We have added IPGOD 225 and IPGOD 325 to the dataset!\r * The IPGOD 206 table is not available this year.\r * Many tables have been re-built, and as a result may have different columns or different possible values. Please check the data dictionary for each table before use.\r \r
\r Data quality has been improved across all tables.\r \r * Null values are simply empty rather than '31/12/9999'.\r * All date columns are now in ISO format 'yyyy-mm-dd'.\r * All indicator columns have been converted to Boolean data type (True/False) rather than Yes/No, Y/N, or 1/0.\r * All tables are encoded in UTF-8.\r * All tables use the backslash \ as the escape character.\r * The applicant name cleaning and matching algorithms have been updated. We believe that this year's method improves the accuracy of the matches. Please note that the "ipa_id" generated in IPGOD 2019 will not match with those in previous releases of IPGOD.
"In this comprehensive multi-page Power BI project, I've delved into the world of cryptocurrency forecasting, leveraging dynamic slicers for both year and currency selection.
The project is designed to provide a holistic view of cryptocurrency performance, with various key metrics available at your fingertips. On the initial page, you'll find a dashboard featuring cards displaying essential data points such as trading volume, market capitalization, daily highs, lows, and their respective averages.
But that's just the beginning. This report seamlessly connects to additional pages, allowing for a more granular analysis. On the secondary page, we unveil two crucial graphs. The first graph unveils insights into the historical highs and lows of each cryptocurrency, charted against date, enabling a deeper understanding of price fluctuations over time. Meanwhile, the second graph presents data on opening and closing prices over date intervals.
This comprehensive report is a valuable resource for tracking and comprehending the trends within the cryptocurrency market. It's a powerful tool to gain insights into the world of digital currencies, their historical performance, and their market dynamics."
Feel free to adapt and refine this post to fit your personal style and preferences.
https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions
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.
Use our https://app.powerbi.com/view?r=eyJrIjoiMDQ1MmRlMjEtMThlMy00MWIxLThmNTEtMzU4M2I5ODNmYTJlIiwidCI6ImJmMzQ2ODEwLTljN2QtNDNkZS1hODcyLTI0YTJlZjM5OTVhOCJ9" class="govuk-link">interactive dashboard to explore the data.
For queries please contact planning.statistics@communities.gov.uk.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">250 KB</span></p>
<p class="gem-c-attachment_metadata">
This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
Local authority level statistics from table P124A are available in fully open and linkable data formats at http://opendatacommunities.org/def/concept/folders/themes/planning" class="govuk-link">Open Data Communities.
<p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">904 KB</span></p>
<p class="gem-c-attachment_metadata">
This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
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Company Datasets for valuable business insights!
Discover new business prospects, identify investment opportunities, track competitor performance, and streamline your sales efforts with comprehensive Company Datasets.
These datasets are sourced from top industry providers, ensuring you have access to high-quality information:
We provide fresh and ready-to-use company data, eliminating the need for complex scraping and parsing. Our data includes crucial details such as:
You can choose your preferred data delivery method, including various storage options, delivery frequency, and input/output formats.
Receive datasets in CSV, JSON, and other formats, with storage options like AWS S3 and Google Cloud Storage. Opt for one-time, monthly, quarterly, or bi-annual data delivery.
With Oxylabs Datasets, you can count on:
Pricing Options:
Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.
Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.
Experience a seamless journey with Oxylabs:
Unlock the power of data with Oxylabs' Company Datasets and supercharge your business insights today!