I currently have a dataset that contains information for arrivals at over 100 airports. My end goal is create an excel file with a tab for each of those airports containing only the information for that airport (multiple rows).
I can of course create 100 queries and export them in a macro. However the list may change overtime and while I can amend the query that creates the initial file I'd rather not have to tweak the downstream process each time.
I cannot amend the source file process so do not want to export 105 initial files each time.
I am looking for a process that will export based on the contents of the data.
As your question is pretty general, here's a general approach I might take.
Query the data to get a distinct list of airports.
Loop over list from #1, building a set of data just for that airport.
Export the data from #2 to Excel.
The details on how to do each of those is going to depend on what the initial dataset looks like and is beyond the scope of what Stack Overflow is for.
Related
On our Wordpress site, we use a plugin called s2member and it stores the levels (roles) of our clients as well as the times they were assigned a specific level in our database. I would like to create a table that shows when a user was assigned a specific level. I'm having a challenge getting the data I need because of the way the data is stored in the field. It stores all of the levels along with the associated dates and times when a user's level was changed in one field. In addition, it stores all of the times as Unix timestamps. Here's an example of a typical field associated with a client:
a:20:{s:15:"1562695223.0001";s:6:"level0";s:15:"1562695223.0002";s:6:"level1";s:15:"1562695223.0003";s:6:"level2";s:15:"1562695223.0004";s:6:"level3";s:15:"1577906312.0001";s:11:"ccap_prepay";s:15:"1596575898.0001";s:12:"-ccap_prepay";s:15:"1596575898.0002";s:13:"ccap_graduate";s:15:"1596575898.0003";s:11:"ccap_prepay";s:15:"1596575898.0004";s:7:"-level3";s:15:"1597196952.0001";s:14:"-ccap_graduate";s:15:"1597196952.0002";s:12:"-ccap_prepay";s:15:"1597196952.0003";s:13:"ccap_graduate";s:15:"1597196952.0004";s:11:"ccap_prepay";s:15:"1598382433.0001";s:14:"-ccap_graduate";s:15:"1598382433.0002";s:12:"-ccap_prepay";s:15:"1598382433.0003";s:11:"ccap_prepay";s:15:"1598382433.0004";s:6:"level3";s:15:"1605290551.0001";s:12:"-ccap_prepay";s:15:"1605290551.0002";s:11:"ccap_prepay";s:15:"1605290551.0003";s:13:"ccap_graduate";}
There are four columns in this table: umeta_id; user_id; meta_key; meta_value. The data above is stored in the meta_value column.
You'll notice that it also has multiple ccap_* entries. CCAP stands for custom capapability and I would like to be able to chart those assignments and associated times as well.
Do you have any idea how I can accomplish this?
Thank you for any help you can give.
I talked to an engineer about this and he told me that I would need to learn Python and I believe he said I would need to learn how to also use Pandas and Numpy to extract the data I need but he wasn't exactly sure. I started taking a data analyst course on Coursera but I still haven't learned what I need to learn and it's already been several months. It would be great if someone could provide a solution that I could implement more quickly and use on an ongoing basis.
If there's a way to accomplish my goal by exporting this table to a CSV file and using Microsoft Excel or Google Sheets, I'm open to that too.
Here's an image of the table (if it helps):
Database table
Here's an example of my desired output:
Desired output
In my desired output, I used Excel and created a column that converts the Unix timestamp to a short date and another column where I used a nested IF statement to convert the CCAP or level to its meaning that we understand internally.
I am building a web application that will run off of data that is produced for the public by a governmental agency. The issue is that the csv file that houses the data I need is a 2,000 column beast of a file. The file is what it is, I need to find the best way to take it and modify it. I know I need to break this data up into much smaller tables within MySQL, but I'm struggling with the best way to do this. I need to make this as easy as possible to replicate for next year when the data file is produced again (and every year after). I've searched for programs to help, and everything I've seen deals with a huge amount of rows, not columns. Has anyone else dealt with this problem before? Any ideas? I've spent the last week color coding columns in excel and moving data to new tabs, but this is time consuming, will be super difficult to replicate and I worry it leaves me open for copy and paste errors. I'm at a complete loss here!
Thank you in advance!
I suggest that you use functions in excel to give every column an automatic name "column1", "column2", "column3", etc.
After that import the entire csv file into MySQL.
Decide on which columns you want to group together into separate tables. This is the longest step and no program can help you manage this part.
Query your massive SQL table to get just the columns you want for each group. Export these queries to CSV and then import them as new tables in your database.
At the end, if you want, query all the columns you didn't put into separate groups. Make this a new table in the database and delete the original table to save on storage space.
Does this government csv file get updated and republished in the same format every time? If so you'll need to write a script to do all of the above automatically.
I am looking for a way to store auto-generated reports. There are about 10-15 columns and 100-3000 rows depending on the report but each report is consistent in column count.
I am looking for a way to organise and store these reports into a large group without creating an entire new database and 1000s of tables to store each indervidual report.
The reports need to be queryable so they can be subdivided by team/area/person etc as each report can be a combination of 3-4 different sub-reports depending on how you split/sort the data.
I am using Python to collect and sort the data from the database so using MariaDB/MySQL would be preferred but im happy to use something else if there is a pre-exising connection libary for it.
To sum up i need something similar to a excel spreadsheet with each table being a sheet and sheet name being the date it was generated so i can select by the date generated.
Think through the goals.
Is this a legal issue -- you need to produce an unalterable report as something "official". A la a non-editable .pdf?
(at the opposite extreme) Be able to generate (or regenerate) any report for any timeframe.
Is performance an issue? (Either perceived or real)
I like to build and maintain Summary Table(s) for any "Data Warehouse" application. And build "reports" that take as a parameter a date range and a small number of other things. And have the report generation so fast that it does not matter if multiple people are pulling reports at random times.
15 columns and 3000 rows is usually excessive. If pulling a report is trivial enough, it can be less 'massive'; just get the parts you want, without such bulk.
http://mysql.rjweb.org/doc.php/summarytables
I'd like to automate a procedure some. Basically, what I do is import a few spreadsheets from Excel, delete the old spreadsheets that I previously imported, and then change a few queries to reflect the title of the new imports. And then I change the name of the queries to reflect that I've changed them.
I suppose I could make this a bit easier by keeping the imported documents the same name as the old ones, so I'm open to doing that, but that still leaves changing the queries. That's not too difficult, either. The name stays pretty much the same, except the reports I'm working with are dated. I wish I could just do a "find and replace" in the SQL editor, but I don't think there's anything like that.
I'm open to forms, macros, or visual basic. Just about anything.
I've just been doing everything manually.
Assuming I have correctly understood the setup, there are a few ways in which this could be automated, without the need to continually modify the SQL of the queries which operate on the imported spreadsheet.
Following the import, you could either execute an append query to transfer the data into a known pre-existing table (after deleting any existing data from the table), avoiding the need to modify any of your other queries. Alternatively, you could rename the name of the imported table.
The task is then reduced to identifying the name of the imported table, given that it will vary for each import.
If the name of the spreasheet follows logical rules (you mention that the sheets are dated), then perhaps you could calculate the anticipated name based on the date on which the import occurs.
Alternatively, you could store a list of the tables present in your database and then query this list for additions following the import to identify the name of the imported table.
Before I look any further on the internet to try and solve this, is actually possible to do this:
There are two list-boxes with data been displayed. The first list-box shows results from a SQL query. i.e. bus, cab, plane, lorry. The user can select certain data and then add it to listbox2. listbox2 could have the following data: bus, cab, plane in it. what I am trying to do is this:
None of the data has been selected, when an export button is clicked, it loops through listbox2, gets the data from the list-box (Bus, Cab, Plane) and stores it in an array, what I want to do next, is query it in a SQL statement to get the results back to be exported to excel. I can do the SQL part and exporting.
I thought it I would be able to do the code for this, but the amount of different loops and other methods I try it complains. I can get it to count how many rows there are in listbox2, but not pull the data from it.
Looking on the internet the majority of information I seem to find is when it requires data to be selected first - and very little that is based on vba in access, as VBA/VBA Excel is different from the VBA in access so I have found (Urgh)
I'm not expecting someone to give me a coded solution to this, I just want to know before I waste any more time, is this actually possible to achieve?