Stack overflow sales data. We can use LIMIT 10, in case you want to get only Top 10.
Stack overflow sales data Thanks for contributing an 2) to get the last year's sales. Provide details and share your research! Requesting Sales Order Data from Netsuite Web Service (Suitetalk) 0. A product is identified by unique combination of 5 -6 attributes (in our demo, code1 and code2 columns). I'm trying to process Amazon data and get some calculated results such as ACOS, ROAS, Organic Sales(direct sales not from ads) and Ad Sales or Ad revenues. Note : Done with the authorization. Is such kind of data available online? I tried to Google but all I got was some really sketchy datasets. Monthly sales as column. The struct now holds sales data for one division for an entire year (four quarters). Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; SQL - Summarizing Monthly Sales Data. Improve this question. I want to create a field that calculates the average daily sales for the 7 last days, for each product and day (e. 10 and above. I have data for 3 years. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Hi i am newbie to timeseries forecasting as well as R. You can either omit the year from the final query and limit the output with a where clause or create a smaller table that has the sales this year, sales last year per week. DailySales From (SELECT [Date] As D1, Sum([Sales]) Over (Partition by Year(Date)) as AnnualSales, Sum([Sales]) Over (Partition by Month(Date)) as MonthlySales, Sum([Sales]) Over (Partition by Datepart(wk,Date)) Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; Requesting Sales Order Data from Netsuite Web Service (Suitetalk) 0. 1) Total sales for each seller needs to be outputted to total_sellers_sales. I can get all Sales Records by using below XML post requ I have 3 sales data tables that I have converted into 4 Dimension tables and 1 Fact table. To learn more, see our tips on writing great Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Summing Sales Data Access. For example, Table 2 shows the daily sales for each article. Django documentation lists extra as deprecated soon. There I am using simple linear regression and get the past monthly sales records of past 5 years and create a line chart. For this purpose, I don't care about dollar values, just number of units. I have sales data in BQ which contains following columns - Customer Id | ItemID | Order_Qty | Order_Date I want to create a sales rank table based on total quantity sold for an item. Thanks for contributing an answer to Stack Overflow! How to insert Sales order data like docEntry, object type to user-defined table using data event (using C#) or any other way in SAP B1. dates import DateFormatter, Going by the description of your data, it seems your have three variables, Date, Total_Sales, and Promotions and plotting colored dots, where the color indicates the amount of promotions, may make it difficult to see the relationship between sales/promotions. Relationship of multiple data points plots a scattered graph which means of course sales estimates are not 100 percent right. Thanks for contributing an answer to Stack Overflow! I've got sales data in two tables and I want to generate a weekly sales report for a specific item. import pandas as pd import numpy as np import matplotlib. You're grouping by date and time, meaning if they are not identical, they will not be grouped. Modified 6 years, 1 I'm reading and doing the exercises in Stanley Lippman's C++ Primer Ed. Thanks for contributing an answer to Stack Overflow! Please be Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Month, and Year. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. Thus to get the sum of sales of article 22, we should omit the 4 jan. Thanks for contributing an answer to Stack Overflow! Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; In your sample, you can group the sales for a same (customer, date). e one entry per date and the total sales for that date. T-SQL query to summarize sales for ALL YEARS: with total Django 1. For example for Product 1 the first sales is in 201601 the second one is in 201602 etc. Modified 14 years ago. Provide details and share your research! I now want to know the sales of each product and its percentage of total sales. db. Hot Network Questions How can I stabilize energy wall top plates when parallel to ceiling framing? Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I have tried to make a logical data model, but I am not totally sure if it is modeled right. Ask Question Asked 6 years, 1 month ago. Using this code, I was able to list or select daily Sales of tenants, summed up based on grouping of Property. Divide total products by total sales, resulting in the product/sale ratio for the day (if the result is 2, it indicates that each sale on average corresponds to two products). Provide details and share your research! I have dataframe with time-series data and want to plot number of each item over time. In the above data set all the customers bought product Id 3 when they purchase product id 2 I assume you want to group all invoices that are on the same month and sum up the amounts. from django. *, p. I opened a ticket and this is the solution that jarshwah provided. I have tried . I have a data source with daily sales per product. Running into an issue here. Making Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; If I understand correctly, you are looking for the top 50 sales for customers based on 2011 data - and want to see all years data for those top 50 from 2011, regardless of those customers being in the top 50 for other years. I want SP Previous year sales data from given date. Above is the data I am working with. pivot solds by month. I face some issue on creating Sales Order using API_SALES_ORDER_SRV from External Application (in this case is Dynamics 365 Business Central. But, I would like to create a column in my table that specifies this. I have everything populated properly, and am wanting a "daily-sales" and "weekly-sales" in my Fact table. The table groups the category of the items and show the total sales value for each category. But it's pretty similar to what you wr reads the file’s content into an array of double or decimal displays the array’s content in a ListBox control, calculates the total of the array’s values, average sales, largest sales, smallest sales Display the Total Sales, Average Background: I'm developing an export engine for those IIF files for Quickbooks and now I'm trying to import sales datas into it. SSRS show sales data per week days. I would like to have the following columns: game / purchase date / customer / price / game genre / total number of sales I have a pandas dataframe with datetime (TransactionDate) column and a CustomerID column and a Sales column. To learn more, see our tips on writing great I have a last year retail sales data. annotate(month=TruncMonth('created')) # Truncate to month and add to I believe some sales have been placed through on a DateOfSale between 2013-10-21 and 2013-10-25 but have been registered to a different working day. read_csv(" Skip to main content. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; // This member function takes arguments and is copied into array holding sales data // Year_Sales contains total of the 4 sales void DivSales::AddSales(int sale1, int sale2, int sale3, int sale4) Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, The value of the arguments should -Sales (Store, Dept, WeekDate, WeeklySales) (WeekDate is the date for the first day of the week. price_bought from sales s inner join products_purchased p using(dt, product) Note that the join does not consider the quantity, as your data seems to show. Or possibly for a selected date master sheet looks like this: id; purchase price; sales price; margin; and here I need to have the data for each work day based on input data. g. [DATES]. pyplot as plt from matplotlib. I am looking to have the following resulting fieldsVendor, 2012 Sales, Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. SELECT date , location , SUM(a. Modified 8 years, 6 months ago. To learn more, see our tips on writing great Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, SQL query for sales report by date. Making Right then! This was a fun challenge and I am very chuffed that I cracked it. I am building a dimensional model for sales analysis that has a fact called Sales and is linked with a Product dimension. [Sales Order Number]. With value_counts, I know how many times each game is sold. models. Pivoting Dates to Day of week. I have a requirement where I need to pivot the data for sales and number of units sold each year. However I have been feeling a bit stuck when trying to join the "sales/order" and "sales/order_item" models in order to print out the data through a foreach loop and also get only the now date. DataType . I have below columns with some sample data as below: store# dept# Skip to main content. The data is in csv format and is showing weekly sales. I hope you can help me solve this problem guys. This is what I got so far: Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; How to calculate average of monthly sales data from python pandas dataframe. I am created a Crystal report to display data like this. Get Sales data from Amazon MWS API. The problem with my data is that the value in the sales data is actually cumulative, rather than Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Im trying to run the following to import a large volume of sales data in a text file into a database. Will it create objects of the Sales_data struct, or it will create variables inside the Sales_data struct? I have to create a view in BigQuery with some details of product sales. You could make a bar/line graph (code included), but this presents the problem of scale, the number of Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; How to get top 3 sales in data frame after using group by and sorting in python? Ask Question Asked 4 years, 2 I am doing a case for a subscription-based company that wants an overview of their monthly sales. I have sales information for multiple products, in different years, in different countries. Based on the array/input you provided, this should provide a net I am extraction data daily for DSR (Daily sales report) from E-commerce portal in excel after that my DRS will be ready. Identify total sales and total products for each day. Is such kind of data available online? I tried to Google but all I got was some really I have dataframe with time-series data and want to plot number of each item over time. select s. Modified 3 years, 10 months ago. In my humble opinion sales last year for weeknum is the best option, as you can use it elsewhere. Thanks in Advance. Total sales, MTD sales per date. Viewed 234 times 0 . This also works for multiple AgentIDs and any sequence of dates, assuming that any missing dates are not included in the bonus accrual Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; SQL - Summarizing Monthly Sales Data. I have pulled data from Amazon Advertising API reports for sponsored products, brands & displays, I also have orders & order items from Amazon Seller Partner API. I want to automate that process for which i need Just to throw this in - what happens when your product object changes and you can't de-serialize the saved array? It depends on what you are trying to optimize. 3. I have below pandas dataframe which has employees sales data for october month. I use SQL Server 2008 R2 which has the data mining feature. I cannot just connect a product and sales. Provide details and share your research! In my Sales Table, listed is the daily sales of particular tenant in one Property. So the query result should look be the following: Pls help Thanks! Skip to main content. When a game is sold several times, its ID appears several times. The opportunity table has Start Date and End Date columns, and the sales table has a Sales Date column. These measurements have to be calculated for each product for every day that product is sold. The issue right now is that there are too many columns right now since we keep on adding 12 columns every year to accommodate the sales amount data. if the date is 2016-06-31, I should get the average unit sales for that particular Master ID (Master ID is not my unique key - fyi) from the 2016-01-01 to and including the 2016-06-31. So that car names is one of the column and I can show monthly sales movement. The first data frame has columns like 2018-2019, 2019-2020 and so on. You train your model to predict the target part. I need this data to be in master sheet in columns next to the same product id for each work day. I would probably look at the reports endpoints, and see if there is a report (or multiple) that give you want you struct Sales_data {/**/ } acum, trans, * salesptr = nullptr; struct Salees_data {}; Salees_data accumm, transs, * salessptr; I do understand what is a struct and class but I have no idea what this statement will do. About; Products OverflowAI; Stack I have the following data set: I want to create a new column that sums the last 7 days of sales. This can be done using MongoDB's aggregation framework. When I worked in ECommerce websites we had a table Tax_Rate which held the different tax rates a shop would deal with eg. gsc) Sales FROM SalesTable WHERE (date BETWEEN '01/01/2015' AND '12/31/2015' ) and (location = 'Property1') GROUP BY location , Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. For instance article was sold 1 janv 2 janv 3 janv 4 janv. The measurements to be included in the view are explained below. I need advice on the following: * Am i right to assume that the ratio of margin of total sales vs. Stack Overflow. SELECT User, SUM(amount) AS total_sales FROM sales WHERE MONTH BETWEEN 1 AND 12 GROUP Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I need to develop a system where user can analyse the past sales records and can predict monthly sales for next year. About; Products OverflowAI; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent I have been trying to learn to analyze Big Mart Sales Data Set from this website. How to Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. If your target contains the information about total sales you also will get predictions about total sales. So if today is the 14th of September, I want to compare how many sales we'd made between 1st - 14th of August and so on to see if we are up or down. SQL Query - Calculating Previous Year Sales. The program needs to take an input from the user to specify the year in which to compile the data. pivot_table before ploting, also dont convert In R I'm setting up a dataset to run a logistic regression on. Current data: ID | Sales 201601 | 5 201602 | 15 201603 | 5 201604 | 20 201605 | 8 201606 Skip to main content. objects . The query I am trying to run looks like this: select WorkingDate, DateOfSale from transactionhistory where WorkingDate < DateOfSale This is fine but I want to factor the date range in it. Use DataFrame. I have already written such program in which I had to enter a list of numbers and then print out how many times each number appeared. reduce () you can actually build an object to the returned based on all of the data from your original array. You need to find out the 5th highest I am working on a data mining project that requires massive sales data of retail stores. I have modelled this info in a CustomerOrder model. When i run the following i get the error: "Invalid object name 'PetDatabase. Currently we are taking SalesForce data in to CSV file and reading this CSV file in Pandas using read_csv, to_csv methods. Viewed 4k times 4 I am Thanks for contributing an answer to Stack Overflow! Please be sure to answer I need write a program that organizes the data in the provided spreadsheet to find the top 10 most profitable products by each month. I would I am doing a Seles forecast in SQL Oracle. 2. We can use LIMIT 10, in case you want to get only Top 10. Thanks. I can retrieve the transactions, but cannot seem to get the Order ID's that I need to batch retrieve the orders. Point is that for each day the Product inventory will change, and this information is important for them to analyse why a specific product wasn't sold (for example, on day XX/XX the product 123456 wasn't sold because there where no products My counter must starting with 0 and it count how many sales do I have for this product. models import Count Sales. Notes etc are in the code comments. Is there a more efficient Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; (MOC) in core data to add sales which will be listed in an NSTableView as pending, until the user presses a button to process the transactions. X= month y= sales e. . At the end, the report shows the total sales value for the day(s). Basically I have 2 tables, one with sales data and one with Salesforce opportunity data. Customer A bought product Ids 1,2,3,4 Customer B bought products ids 2,3,5 Customer C bought product ids 6,2,7,3. It is a very cut-down and basic model, but overall I want to know if it is modeled the way is should be. on day 10 for product A, it will give me the average sales for Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. CURRENTMEMBER, COUNT(DISTINCT([Fact Internet Sales]. You can do a GROUP BY on User, and use SUM(amount) to get the total_sales per user. Now I'm interested to build a recommender system based on the last year sales data. WeeklySales, T1. (about 800 rows per month) I need to get a total sales data for all customers in a month. I am trying to satisfy a reporting request as efficiently as possible which I don't think I am succeeding at right now. I am trying to create a new sales order from an external application built in Microsoft Dynamics Business Central. SQL display the total sales. I tried the following query and got the expected results, but I think the execution time is a bit long, especially when the table becomes larger, is there anything that can be optimized?(BTW, I'm using PieCloudDB Database, if you don't know it you can test with PostgreSQL instead. To get predictions for each product you need to change your dataset accordingly. In order to overcome this, I erase the existing Sales_data object and replace it with a new updated object. I also have sales information also for competitor products. My original 3 tables are as Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Group sales data by time interval for every 15 min for one day. I should calculate for each month(In my example January, February 2018 for Each customer by State/City) . (Thanks for pointing that out @seddonym, @Lucas03). g name, number of each ticket sold) and I'm looking for a way to get the transaction data out of paypal pragmatically. <ArrayOfItem> <Item> <total >333. Viewed 523 times Thanks for contributing an answer to Stack Overflow! Please be sure to answer the Hi @samkart, yes I want to transform the first data frame with aggregated sales for each year band. However, for article 22 4 janv is not in the range [1 janv to 3 janv]. Im confuse because the product price data is provided in the "product" collection, while the sales data is in "sales" collection. Something like this: Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I currently have a Windows Form App (C#) used to generate tickets for an charity exhibition, currently I have to enter the transaction details in manually (e. Using . An a "week" is either a calendar week (whatever start day, I don't care) or just 7-day chunks back from current (so week 1 is the last 7 days, week 2 is 8 - 15 days ago, etc) - whichever is easier. Now I Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Then their in-house data scientist analyze the data to form the sales estimating algorithm. To learn more, see our tips on writing great I am trying to build a useful query for our sales team to see how many sales our business has made in the current month, compared to the same point in the previous months. SELECT SUM(Price) AS SalesTotal , Department , StoreNumber , CONVERT(date, SaleDateTime) As SaleDate INTO #tblSales FROM LineItem The formula is as follows: PY Sales $ = CALCULATE(SUM('Weekly Sales by State'[Sales $ - TY]),SAMEPERIODLASTYEAR('Fiscal Calendar'[Date])) The formula is pulling one week behind from the previous year and the final The problem with approach is if the tax changes, VAT (sales tax) in the UK has changed twice in the last 12 months. We use the Square POS, and have access to the API. 1. Now, simply sort the result-set by total_sales in Descending order, to get the highest sales first. Hot Network Questions Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, How to calculate prior year sales data in SQL. artNo: int ; from: date Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; pandas group by year, rank by sales column, in a dataframe with duplicate data [duplicate] Ask Question Asked 11 years, 5 months ago. If you're not familiar with the Amazon sales rank, Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; T1. WeeklySales is an integer for the number of sales that week. struct sales_datum { std::string division; // North, East, South, West money_t sales_for_quarter[4]; }; This seems to be more like what you were trying in your original post. the units we have receied into stock is the right answer? So if the margin is 10 Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. 0. csv as follows: These are in the following (simplified) format: sales_id | customer_id | sales_date | number_of_units | total_price The goal for my query is for e Skip to main content. ) The main issue I'm having with writing this query is that I'm having troubles figuring out how to find the sum of all sales by each department. Provide details and share your research! But avoid Asking for help, clarification, Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; I am working on a data mining project that requires massive sales data of retail stores. I want to resample the data Daily to sum the Sales daily but for each CustomerID separat Please help me for the query to calculate the total income / sales : 1. Horizontal total monthly sales for procedures. So the column names as of now : Month, Car, Sales. My input data looks like this: My approach so far: import pandas as pd import re dfg=pd. Hard to tell though, since your question is incredibly vague in terms of describing what you actually need. The result should contain an estimated sales forecast for each month based on the city+state combination. Sales' I just created a small data warehouse with the following details. Making statements based on opinion; back them up with references or personal experience. I didn't find any web-api. Getting Total Sales data. Ask Question Asked 3 years, 10 months ago. 5. Would appreciate any ideas. The message from Quickbooks is following: The Tax field cannot be left blank, even for non- taxable customers and sales which have to no taxable items, so non-taxable sales will be correct for this district. Data is continuously gathered and analyzed by tracking the Best Seller Rank (BSR), Buybox, reviews and more factors. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Now, I want to retrieve the data from the Dynamics Sales such as customer,products and order list from the sales organization. Thanks for contributing an answer to Stack Overflow! Please be sure to answer I am trying to do some custom analytics and analysis for my business. Each row is a contract Thanks for contributing an answer to Stack Overflow! Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Daily data like this: Date Sales 1-1-14 $5 1-2-14 $2 6-15-14 $15 Which can be aggregated to weeks of course. To learn more, see our tips on writing great We would like to interpolate this into a more fine grained view, based on individual dates. Please help! What I would like to do is populate the Average Sales column with the average Units for the past 6 months based on the date in the relevant row. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; I am trying to code a report that will generate 4 groups for sales data: daily, monthly, quarterly, and yearly. If there is always a price in products_purchased for all dates when a product is sold, we can just join:. When I try to pull records from any table, then it pulls all records (belong to all users linked to Database) instead of pulling only those records for which I am authorized Now, on above two files of data, I want to execute Spark job to find two things and have the data outputed to csv file. I am unable to decode a line of code which is little bit complex. The database contains a table named Sales which records sales transactions. I need to figure out what revenue I can expect for next year. Customer_data - custcode, name, etc. Week 1 $15 Week 2 $12 Week 3 $10 Week 4 $13 etc. I have to write a program that writes a file for a company and analyzes the sales data. Still I am having some doubts as to which data structure I should use to hold these above mentioned data. e. Finding Sum of all previous sales to all customer and sum of today's sale in sql query. functions import TruncMonth from django. For 2019-01-02, two sales were carried out, totaling 12 products (6 products for each sale on the day) 2. Output transactions that exceed certain amount within 3 Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. I want to make an excel graphic with 3 values: Sales Order Date (The date sales enters the sales order) Requirement Date (The date the customer wants this order) Closed Sales Order Date (When sales . The Admin is supposed to be able to list the sales data in a We have about 2 million rows of sales data spanning seven years, and in that time maybe 14,000 big ticket items have been sold to 5,000 out of 50,000 customers. TaxFree - 0% Basically it's just an indicator of the date and transaction when a product sales exceeds the critical value of 10% of the estimated lifetime value. I have calculated a margin field ( profit / sales) and grouped it by the countries in Europe. About; Products OverflowAI; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs I have been using Sales force API from quiet a while to pull data from various tables that are there in my sales force account which is further linked to a bigger database. This means that I need to sum up the revenue from all I have managed to work my way through the data to create a table that looks like the one below. Table 1. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Here's an example that uses Pandas to group and sum randomly generated sales data. About; Thanks for contributing an answer to Stack Overflow! I. csv file as `seller_id total_sales` `seller1 1160` 2) Ouput buyers list for each seller to sellers_buyers_list. Follow Thanks for contributing an answer to Stack Can you help me figure out how to display sales data by "WEEKS" in power BI visuals ? I have a calendar table and the date hierarchy is listed by Year, Quarter, Month and Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I am working on a magento php code to get the Customer Name, email, product description, sku code, order number and customer id. I have two question regarding the selection of independent variables. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I have a table that contains transaction level sales data. My problem is this: Sales of a product is specific for a specific country and year. mysql; select; time; Share. [Sales Order Number] ) this is what I have at the moment however it doesn't work :/ I have a data frame that is grouped by on Month and Car like below : And want it to be changed to. But Its display all the data in I am learning python and at the moment I am playing with some sales data. Any ideas on how the sales amounts table should be structured? Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. Select [Employee Name], MAX[Sales Timestamp], [ITEM SOLD] FROM Sales GROUP BY [Employee Name], [ITEM SOLD] but that gives me each employee's latest sales of ANY items, whereas I just want the latest item they sold. Therefore the calculation for article 22 is 2+4+5=11. request_countryname function has to validate the user's input is at least 2 characters long request_sales fu Skip to main content. A Imagine you are managing a database for a sales company. The problem I am running in to is that if there is no daily activity, it will not generate monthly, I have Sales data by Month by Year for all my Vendors. So if I had new purchase it will be shown here for a certain date. Fact Table Sales Dimensions Supplier Products Time (Range is one year) Stores I want to query which product has the max sales by I am using EU Superstore Data which consists of product details, their sales, profits and discounts on that particular product. Upon pressing the button, Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; I have 4 table tables for purchase, return purchase, sales, and return sales. I need to calculate aggregated metrics (e. For each sales depending on product I need to do: Counter = counter + 1 and if I have a new product my counter must start with 0 again. 3< About; Products OverflowAI; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; I cannot use ASC ROWS 5 PRECEEDING here because there may not be sales data for every month and I should not aggregate previous 5 records but it should be strictly based on previous 5 months sales data. For this, you will first need to extract the month from the date field, using MongoDB's aggregation date operators, and then group on that value, summing up the invoice values in the process, in order to get per I have a sales table and it contains sales figure by different store along with timing, let's say in one day and one of store we have done 10,000 transactions then I need to find the total sales for every 15 min for that particular business date, keeping in mind for example: if there's no sales between 12:00 PM to 12:15 PM then it should be zero as a value or null. I didn't read the tutorial, so I can't tell you exactly but you split your data into a feature and a target part. The 2 tables are linked by the Account Number. I will not use Stored Procedures etc. , averages, sums) over sliding time windows (e. date item ordered 1 01-05-2020 1 1 2 01-05-2020 1 23 3 03-06-20 Distribute data into buckets based on sales. Provide details and share your research! But avoid Asking for help, clarification, or responding to other answers. I have a database on mysql hosted on godaddy with the following tables. E No Sales data is present on May 16 and May 17 and I need this shown in the result as per the expected results image above. Thanks for contributing an answer to Stack Overflow! Please be I'm completing the following exercise from a book: Using your sales_data class write a program that reads several transaction for the same isbn and counts how many times each isbn occurs. ) How can I count the total number of sales in the "FactInternetSales" table for the selected member of the DATES hierarchy? ( [Order Date]. (about 450 rows) delivery_data - date, invoice no, quantity, etc. If you want to change the number of days within which a bonus can be accrued, change the value in @DaysInBonusPeriod. It will remain Amazon's secret how many sales a product had and how exactly those TOP 100 lists are calculated. Given a date, the table displays the items sold on that date. the total income that occurs only at 2018. Basically I need to get a sum of Total Sales for each account where the Sales Date is between the Start and End Now Based on the above list, I need to dynamically generate a new list that combine the sales in one entry if there is multiple entries of similar date. I'm not sure if machine learning methods are something that can be used here. Employee Timerange Dials Conn Conv Mtg Bkd Talk Dial 0 Ricky . i. I have a data set I have made with random numbers containing the sales data for each sales representative for all previous months and I want to know if there is a way to predict what the sales would look like for each representative for the upcoming month. I made merge for all in one data frame; I made sort by item_Id,date,transaction type (purchase,return purchase,return sales,sales) the result is; date item Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; that has a module that needs to define how likely an item will sell if listed on Amazon based on a set of previous sales rank data. What am I missing? Is it possible through the API to access the same sales data that I can see in my dashboard? I want to return employee, the latest date they sold something, and the item sold. the total income that occurs at Outlet-A. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; invoice_date; id_user (sales person) I need to display, by month, how many items were sold, and also how many salespersons sold those items. Ask Question Asked 14 years ago. Almost There's lots of different kinds of expense and sales data, so you're probably not going to find one API endpoint that gives you all of the data you need. The AWS API does not export anything in terms of sales, MWS will only allow you to get your own sales figures. My application uses ('localhost:9000') for XML Post request. Inventory items by lastmodified date in netsuite using query. I am going to develop a desktop application for Integration with Tally ERP 9. Is it possible somehow to smooth the sales data out for the 3 months in each quarter, so that the total sale for that quarter is still the same, but still align the values to match the data of the days of the Quarters before and after? I have some online order data as XML. Q: Does the API expose enough data to arrive at "logical conclusion" or "reasonable expectation" A: Not through the AWS alone. , hourly, daily) for my dataset. I have collected In an admin page of my Play Framework app,I need to list the Products sold between two dates and display the Product name,quantity sold and total price. Data in Sales_Invoice table is properly grouped with respect to invoice_no. Skip to main content. As I know, we can produce meaningful prediction using such amount of data (it means that for each month you are using 6 data points to fit model), but try to use as much data as you can - then your accuracy will only increase. I would like to turn this data into monthly sales but am having trouble with my code. The threshold value is common for all product id's (I'll just replicate the process with different thresholds at a later stage to determine which is the optimal threshold to predict future revenue). I have a game sales table. To group based on only date, you'll have to convert TransactionDateTime to a Date, and do your selection/grouping on that instead. We are trying to separate this table into 2 tables, one for the product information, and one for the sales amount data based on period. I'm having the following issue with my code: when I update an existing Sales_data object in the std::vector<Sales_data> vec;, the program crashes. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Projected sales value for year in Google Data studio from average performance. Ask Question Asked 8 years, 6 months ago. I want to make a report with the total number of orders, sales, returns, etc. I will first briefly explain the dataset: The I am working on a time-series data analysis project using GridDB. date item ordered . Provide details and share your research! Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. I successfully retrieve sales order data using the GET method and the same service endpoint. vvruxewanoatbsuqsjjwmlfoahlgopkfgxugtfaajncfddmjmknrmtq