This dataset contains one .csv file that can be used as a new benchmark data for the solving of real-world sales forecasting problem. All data are real and obtained experimentally in production environment in one of the biggest retail company in Bosnia and Herzegovina. The available data in this dataset are in period from 2010 to 2018.

This dataset is comprised of data submitted to HCAI by prescription drug manufacturers for wholesale acquisition cost (WAC) increases that exceed the statutorily-mandated WAC increase threshold of an increase of more than 16% above the WAC of the drug product on December 31 of the calendar year three years prior to the current calendar year. This threshold applies to prescription drug products with a WAC greater than $40 for a course of therapy. Required WAC increase reports are to be submitted to HCAI within a month after the end of the quarter in which the WAC increase went into effect. Please see the statute and regulations for additional information regarding reporting thresholds and report due dates.

Key data elements in this dataset include the National Drug Code (NDC) maintained by the FDA, narrative descriptions of the reasons for the increase in WAC, and the five-year history of WAC increases for the NDC. A WAC Increase Report consists of 27 data elements that have been divided into two separate Excel data sets: Prescription Drug WAC Increase and Prescription Drug WAC Increase – 5 Year History. The datasets include manufacturer WAC Increase Reports received since January 1, 2019. The Prescription Drugs WAC Increase dataset consists of the information submitted by prescription drug manufacturers that pertains to the current WAC increase of a given report, including the amount of the current increase, the WAC after increase, and the effective date of the increase. The Prescription Drugs WAC Increase – 5 Year History dataset consists of the information submitted by prescription drug manufacturers for the data elements that comprise the 5-year history of WAC increases of a given report, including the amount of each increase and their effective dates.

There are 2 types of WAC Increase datasets below: Monthly and Annual. The Monthly datasets include the data in completed reports submitted by manufacturers for calendar year 2025, as of February 7, 2025. The Annual datasets include data in completed reports submitted by manufacturers for the specified year. The datasets may include reports that do not meet the specified minimum thresholds for reporting.

The Quick Guide explaining how to link the information in each data set to form complete reports is here: https://hcai.ca.gov/wp-content/uploads/2024/03/QuickGuide_LinkingTheDatasets.pdf

The program regulations are available here: https://hcai.ca.gov/wp-content/uploads/2024/03/CTRx-Regulations-Text.pdf

The data format and file specifications are available here: https://hcai.ca.gov/wp-content/uploads/2024/03/Format-and-File-Specifications-version-2.0-ada.pdf

DATA NOTES: Due to recent changes in Excel, it is not recommended that you save these files to .csv format. If you do, when importing back into Excel the leading zeros in the NDC number column will be dropped. If you need to save it into a different format other than .xlsx it must be .txt

DATA UPDATES: Annual datasets of reports from the preceding year are reviewed in the second half of the current year to identify if any revisions or additions have been made since the original release of the datasets. If revisions or additions have been found, an update of the datasets will be released. Datasets will be clearly marked with 'Updated' in their titles for convenient identification. Not all datasets may require an updated release. The review of previously released datasets will only be conducted once to determine if an updated release is necessary. Datasets with revisions or additions that may have been made after the one-time review can be requested. These requests should be sent via email to ctrx@hcai.ca.gov. Due to regulatory changes that went into effect April 1, 2024, reports submitted prior to April 1, 2024, will include the data field "Unit Sales Volume in US" and reports submitted on or after April 1, 2024, will instead include "Total Volume of Gross Sales in US Dollars".

Dataset

This dataset was created by Liu_Weiwen

Contents

A list of licensed Used Motor Vehicle Dealers (UD), Wholesale Dealers (WD), Automotive Dismantler (AD), Manufactured Home Dealers (MH), Manufactured Home Installers (I) and Manufactured Home Park Dealers (MHP). This list is updated weekly. For bond or insurance information, please contact the Commission at 405-521-3600. 리소스 CSV Data - Used Motor Vehicle and Parts Commission Dealer License Search CSV 다운로드

This data contains a list of licensed Used Motor Vehicle Dealers (UD), Wholesale Dealers (WD), Automotive Dismantler (AD), Manufactured Home Dealers (MH), Manufactured Home Installers (I) and Manufactured Home Park Dealers (MHP). This list is updated weekly. For bond or insurance information please contact the Commission at 405-521-3600.

Kashiwazaki City(Kashiwazaki Shi)'s Number of establishments (Wholesale trade) is 151[number of establishments] which is the 309th highest in Japan (by City). It also ranks 7th in Niigata Prefecture, with 2.55% share of the entire Niigata. Transition Graphs and Comparison chart between Kashiwazaki City and Nakatsu City(Oita) and Owariasahi City(Aichi)(Closest City in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

Dutch Distribution Centres 2021 Geodata The Geodataset includes 26.951 logistics buildings in the Netherlands, built before November 2021, as well as the business estates they are in, and the outline of the East-Southeast freight corridor of the Netherlands - the busiest logistics area of the country. The used definition of the logistics sector includes trade, import, export, wholesale, transportation, and warehousing activities. To avoid irrelevant buildings such as small, dedicated office buildings and electrical installations, only logistics buildings larger than 500 m2 were considered in the data collection. Additionally, 4.533 large buildings with retail centres on industrial sites were included, where consumers ‘pick their own orders’, such as construction materials stores. As well as 782 buildings with logistics co-activity, for example a hospital with a logistics entity for medical materials. Manufacturing and recycling facilities, which often include logistics activities, are not included unless a separate logistics company is registered in the building. Several of the analyses by the author are exclusively focused on XL (> 20.000 m2) and XXL DCs (>40.000 m2), used by traders and logistics service providers. Depending on the analysis, therefore, subsets of certain functions and size classes of DCs are used. The dataset contains a Geopackage with equivalents in ESRI shapefile format. The buildings layer with attributes is also provided as a Geojson file and CSV data table (without geometry). Besides this README file, a method describing the compilation of the data is provided (Pdf).An earlier version of this dataset, covering only the area within the East-Southeast corridor, was released in 2021 (DOI:10.4121/14791686). The new dataset substitutes the former. An interactive zoomable map with timeline slider is available on: http://mertennefs.eu/landscapes-of-trade/Some interactive metrics, showing the extent and potential of the dataset, are shown in this RShiny app: https://mertennefs.shinyapps.io/distributioncentres_geodata_app/ ## CollaborationThe data were gathered and compiled by Merten Nefs, in collaboration with Thomas Bonte and Carlijn Ligterink (Vrije Universiteit Amsterdam), Vera Loefs and Ana Luisa Moura (Deltametropolis Association); with the help and data provision by Frank van Oort (Erasmus School of Economics) and Hans van Amsterdam (Netherlands Environmental Assessment Agency, PBL). The data have been used for research, media articles and academic work such as the PhD research project Landscapes of Trade, by Merten Nefs, at TUDelft and Erasmus School of Economics. More information at www.landscapesoftrade.nl ## DisclaimerThe buildings were selected by and joined with employment data of Lisa 2020, and therefore reasons back in time from this point and assumes the same function as well for 2021. Discrepancies between earlier data (Lisa 2017) and 2020 can be viewed and filtered out via the 'Current' attribute below. Another important aspect is the overlap of logistics buildings over time: a small portion of these has replaced former buildings on the same site that have been demolished. Such 'brownfield' developments amount to ca. 10% of the dataset - as established by a test sample - whereas ca. 90% are 'greenfield' developments. More information on the data collection and compilation method is found in the accompanying pdf file.

's [Earning Power]Wholesale trade, general merchandise is -1.34 which is the 38th highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Yamanashi and Wakayama(Wakayama) and Saga(Saga)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

Tottori City(Tottori Shi)'s Number of establishments (Wholesale trade) is 419[number of establishments] which is the 125th highest in Japan (by City). It also ranks 2nd in Tottori Prefecture, with 33.63% share of the entire Tottori. Transition Graphs and Comparison chart between Tottori City and Kofu City(Yamanashi) and Higashihiroshima City(Hiroshima)(Closest City in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

's [Earning Power]Wholesale trade, general merchandise is 0.18 which is the 111th highest in Japan (by City). It also ranks 4th in Saitama Prefecture. Transition Graphs and Comparison chart between Saitama Shi Iwatsuki ku and Marugame City(Kagawa) and Kiryu City(Gunma)(Closest City in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

Kanmaki Town(Kanmaki Cho)'s [Earning Power]Miscellaneous wholesale trade is -0.41 which is the 406th highest in Japan (by City). It also ranks 15th in Nara Prefecture. Transition Graphs and Comparison chart between Kanmaki Town and Shinhidaka Town(Hokkai do) and Yachiyo Town(Ibaraki)(Closest City in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

Sashima gun sakai Town(Sashima gun sakai Machi)'s [Earning Power]Miscellaneous wholesale trade is -1.39 which is the 1036th highest in Japan (by City). It also ranks 31st in Ibaraki Prefecture. Transition Graphs and Comparison chart between Sashima gun sakai Town and Nasu gun nasu Town(Tochigi) and Yugawara Town(Kanagawa)(Closest City in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.