hope you all are good .I new to tally and I have a new situation ,I have provided the details below
1.we Own a supermarket and which contains some other departments as well
2.only one counter is available for this supermarket section
3.so the sales of other departments also get mixed with the total sale
Task :- when I enter this data into tally I have to show the other departments sales seperatly on balance sheet, how to achieve this
The Profit & Loss statement in Tally shows you the sales data of every Sales ledger separately. So, to have data on separate sales for separate departments, you will have to make different sales ledgers for different departments and make the entries accordingly.
If you are using combined single ledger for all sales, then you should make three ledgers now for sales of each of the three departments. If you are using sales ledger item wise or tax slab wise, then you need to create similar ledgers for every department and take care of choosing the right ledger when creating the voucher.
Related
I have 10 different products (A,B,C),..,J)have multiple purchase dates (by various customers) and delivery dates. I want to see which products have the date difference of less than 5 days. If the date difference is less than 5 days, which products have customer rating less more than 3.If the above criteria is satisfied I want to fetch those products that has the minimum date difference from the queue along with the "Important_date".If there are same minimum date difference for a particular product then I would like to select the top one among the same product in recent times and mark the purchase date as the "Important_date".
The columns in the table are: Product,Purchasedate,deliverydate,date_difference,customer_rating.
I am trying to use case statements to solve the problem in PostgreSQL.
I am looking for an output which will give me all the columns of the table along with "Important_date."
I want to design a database for billing system. In one bill a customer might have purchased multiple different items ,for example fot bill Id 1 customer purchased 2 apples 3 bananas and 1 watermelon. i want to know how i can normalize this database.
This is a pretty standard, basic normalization exercise with a pretty standard solution. The usual approach is to have an orders table containing order ID, customer ID, order date &c., and an order_items table with a record for each line item on the order.
I am a beginner in iReport and I cant program Java so I hope you can give me an idea.
I've already managed to make a chart that displays how often all customers have ordered in february, march,... etc.
Thats how I did it:
In category expression I have: $F{Month}
In value expression I have : $F{count(Orders)}
But I want to display how often only one customer (for example customer a) has ordered in february, march,... etc.
I have the following values which i can use:
Month, Orders and Customers(here are all customer names saved)
-------//-----------UPDATE--------------//-----------------------------------
I want to display a chart which represents the total orders per month of a customer. But iam trying to display my 3 customers (my database has only 3) in only one chart (stacked).
For example(see picture above): I want to display the total orders from Customer A (yellow) in february. And I want to display the total orders from Customer B (blue) in february and the same for customer C.
The customers should be displayed stacked (3 in every month) and every customer should have a different color plus the total orders from every customer should be displayed ...like in picture above for example:
customer A(yellow) made 3 total orders in february, Customer B(blue) made 2 total orders in february, customer C..etc.
it is very important that every month displays 3 customers...stacked.
How do I do this?
I appreciate every idea.
From what I have understood from your question, you want to show a chart which represents the total orders per month of a customer.
You need not use stacked bar graph for this purpose.
You may want to use bar graph which would serve your purpose.
If you want to see the chart per customer, create one parameter $P{customer} and pass it into your query.
Refer document iReport-Ultimate-Guide-3 on how to create parameters and to use it in queries.
e.g:
select customer,month,count(orders)
from <your table>
where customer=$P{customer}
group by month
The above approach would work if you want to see the details for only one customer.
**Here is my solution after your update.**
From your update, it seems like you want to represent the total orders per month for all the customers.And you want to use stacked chart for the same.
Then what you have done is correct but have missed to add a field to your 'Series Expression'
Add your field customer to your series expression and this will resolve your problem i.e,
Series Expression : $F{customer}
Category expression : $F{Month}
Value expression : $F{count(Orders)}
This will display the chart in the format you have specified.
Create a paramter that takes your customer name $P{customerName}
and another takes month $P{month}
pass these two paramters to your sql like that
SELECT customer_name, order_count FROM customers
bla.. bla..
WHERE customer_name=$P{customerName} and month=$P{month}
then create a chart with only one serie to show one customer as one color. Not like yours with 3 colors.
Fell free to ask for more specific detail.
I'm working with a dataset where employee utilization is calculated as (Time Billed to X/Standard Billable hours). As such, to get the total billable percentage for an employee, I can just sum up the percentages billed to each client. However, I also want to be able to see the percentage of time billed by department.
I've currently got my data in a matrix with row groups Department-->Employee-->Client with 1 column group of "time sheet ending date". When I toggle the visibility of the client row group based on the employee row group, I get the correct totals at the client and the employee level. However, when I toggle the visibility of the employee row group based on the department row group, the department row group has the wrong totals. For example, if Department A has employee B with 90% utilization and employee C with 95% utilization, the toggled total at the department level is 185%....However, I am expecting to see 92.5%....any ideas????
You might just need to tweak the expression used to get the department total. I am unsure what expression exactly you used, but it should be of the form:
SUM(epmployeePercentageColumn)/COUNT(employeePercentageColumn)
obviously replace the "employeePercentageColumn" with whatever field or variable or expression that represents each of the employee percentages that come under the particular department.
If your current expression isn't in that form, try and tweak it.
Hope it Helps.
I am trying to CROSS JOIN two tables, customers and items, so I can then create a sales by customer by item report. I have 2000 customer and 2000 items.
SELECT customer_name FROM customers; --Takes 100ms
SELECT item_number FROM items; --Takes 50ms
SELECT customer_name, item_number FROM customers CROSS JOIN items; Takes 200000ms
I know this is 4 million rows, but is it possible to get this to run any faster? I want to eventually join this with a sales table like this:
SELECT customer_name, item_number, sales_total FROM customers CROSS JOIN items LEFT JOIN sales ON (customer.customer_name = sales.customer_name, item.item_number=sales.item_number);
The sales table will obviously not have all customers or all items, so the goal here is to have a report that shows all customers and all items along with what was sold and not sold.
I'm using PostgreSQL 8.4
To answer your question: No, you can't do a cross join faster than that - if you could then that would be how CROSS JOIN would be implemented.
But really you don't want a cross join. You probably want two separate queries, one which lists all customers, and another which lists all items and whether or not they were sold.
This really needs to be multiple reports. I can think of several off the top of my head that will yield more efficient packaging of information:
Report: count of all purchases by customer/item (obvious).
Report: list of all items not purchased, by customer.
Report: Summary of Report #2 (count of items) in order to prioritize which customers to focus on.
Report: list of all customer that have not bought an item by item.
Report: Summary of Report #3 (count of customers) in order to identify both the most popular and unpopular items for further action.
Report: List of all customers who purchased an item in the past, but did not purchase it his reporting period. This report is only relevant when the sales table has a date and the customers are expected to be regular buyers (i.e. disposable widgets). Won't work as well for things like service contracts.
The point here is that one should not insist that the tool process every possible outcome at once and generate more data and anyone could possibly digest manually. One should engage the end-users and consumers of the data as to what their needs are and tailor the output to meet those needs. It will make both sides' lives much easier in the long run.
If you wish to see all items for a given client (even if the cient has no items), i would rather try
SELECT c.customer_name, i.item_number, s.sales_total
FROM customers c LEFT JOIN
sales s ON c.customer_name = s.customer_name LEFT OIN
items i on i.item_number=s.item_number
This should give you a list of all clients, and all items joined by sales.
Perhaps you want something like this?
select c.customer_name, i.item_number, count( s.customer_name ) as total_sales
from customers c full join sales s on s.customer_name = c.customer_name
full join items i on i.item_number = s.item_number
group by c.customer_name, i.item_number