How to create a form for a 2D/multi-dimensional table? - forms

I need to create a form in CakePHP to allow users enter data(numbers) into the cells shown on the table below. The input screen needs look like the table shown below. The users should be able to select any cell they want to enter/update the value, then type in the value, click submit and submit the value/s. Each "Metric section (e.g. Metric A, Metric B..)" will have a submit button so the users can edit/update each section on the table.
___________________________ ____________________
|___ ___|___2006_______|__2007____|___2008___|
|_METRIC A__|______________|__________|__________|
| item A1 | 1 | 5 | 7 |
| item A2 | 15 | 18 | 21 |
| item A3 | 3 | 6 | 11 |
| item A4 | 1 | 1 | 3 |
|___________|______________|__________|__________|
|_METRIC B__|______________|__________|__________|
| item B1 | 12 | 18 | 31 |
| item B2 | 1 | 4 | 6 |
| item B3 | 0 | 0 | 2 |
--------------------------------------------------
As you can see each metric section is a two dimensional table. So I would like to capture the input data in a 2D array. Currently I have successfully created the display for the data (which was much easier). I simply created an array of metrics, which is an array of 2D arrays. Then I passed that array of 2D arrays to the view file to display the table.
I am kind of lost on how to get the user input for this table. Anyone had any similar experiences? Any suggestion will be greatly helpful to me.

You might want to start be researching some Javascript grid solutions with editing capabilities. Ext's Grid comes to mind, but there will most definitely be alternatives for your JavaScript framework of choice (eg. jQuery). This will handle all of the onclick goodness on the client side leaving you to implement an AJAX action that the form can submit data at. There it is up to you to determine which models you update with each part of the data.

In case this becomes useful to anyone else, I'm posting my solution here..
I managed to tackle this one by using 'Parallel two dimensional arrays'.
It's a simply trick. You create the 2D array for the display of data. So you have an array for each row in the table. For example if the columns are 'Year 2006', 'Year 2007' & 'Year 2008' like in my question above. You will create a row of data with a value for each year.
$data_for_row_array = array('10', '15', '35');
Like this you create a data array for each row in your table and you will get an array of rows:
$rows_array = array(data_for_row_1_array, data_for_row_2_array, ..) etc
This will do for the display array.. Now if you want to capture users input for each of those cells in the table all you need to do is create a similar second 2D array with the ids of each data cell taken from the database.. if an id does not exist yet, just leave it blank. And when the user enters data and submits it, just loop through the two 2D arrays and use the ID from one array and the data from the other array to match with it. because in both arrays the matching ID and it's data value will be at the same position. So if you find and ID in the "ids array" and a data value in the same position in the "data array", you just use it to update the database table. This is the concept of 'parallel two dimensional arrays'.
And if you find and empty id value in the IDs array yet some data value at the same position in the data array that means the user has entered a completely new value so you save it as a new data cell in the database.
Hope this gives you some idea.. if it isn't clear just let me know and i will explain it in more detail.

Related

Is it possible to make multiple fields default to the same date, but also be individually editable?

I am VERY new to Access - I was sort of thrust into designing a database for a research project I'm involved in. So, please bear with me because I know next to nothing :) The problem I am having is thus:
My database is for a medical research project, and is very time and date dependent, by which I mean I need to capture the date and time for each piece of data so that we end up with a sort of timeline of events for each subject.
As is, I have something like the following for each piece of data: (Each in it's own field)
ArrivalDate
ArrivalTime
HeartRateDate
HeartRateTime
HeartRateData
TemperatureDate
TemperatureTime
TemperatureData
BloodPressureDate
BloodPressureTime
BloodPressureData
There are around 200 similar pieces of data that I need to collect for each patient. To avoid having to re-enter the same data over and over, and also to reduce the potential for error, I would like to have all of the date fields in a given patient record default to the first one that is entered, in this case "Arrival Date". However, I also need each date field to be editable without affecting the others. The reason for this is that in the event that a patient's visit occurs over the span of a few days we can accurately record that.
I have tried messing around with the default value setting, as well as setting the control source to reference the "Arrival Date" field, but then of course any changes to one field affect them all. I am not even sure that what I am trying to do is possible but I will appreciate any help and/or suggestions!
Thank you in advance
Having all this data in separate columns of a big table isn't going to work. You don't measure things like temperature or blood pressure only once per patient, do you?
This is a classic one-to-many relation.
You should have a separate Measurements table, looking e.g. like this:
+--------+-----------+---------------+------------------+-----------+
| MeasID | PatientID | MeasType | MeasDateTime | MeasValue |
+--------+-----------+---------------+------------------+-----------+
| 1 | 1 | Temperature | 2017-05-17 14:30 | 38.2 |
| 2 | 1 | BloodPressure | 2017-05-17 14:30 | 130/90 |
| 3 | 1 | Temperature | 2017-05-17 18:00 | 38.5 |
| 4 | 2 | Temperature | etc. | |
+--------+-----------+---------------+------------------+-----------+
As Barmar wrote, there is no reason to have separate columns for date and time.
In the form where measurements are entered, you can use the BeforeInsert event to set MeasDateTime to the current time, with the Now() function.
So the user never has to enter it manually, but they can edit it if the measurement was at a different time than entering the data.

Swift - Make the first row of UICollectionView a sticky header

I have a large list of data in my Collection View, the number of rows and columns are dynamic, they change when I push a button to filter.
I've created my Collection View programatically, all the data become from my server and even the titles of the header.
My server can return, for example:
Code | Name | Phone | Address | Others columns until the end ...
2
| Eevee
| 876321342
| In a big commercial center |
10
| Mewtwo
| 673812332
| In a cave |
...
...
Well, my problem is, I don't know how to create a header programatically, so I think is possible convert my first row of my Collection View as a header row and make it sticky, or, another way to make it fixed, taking into account whenever I have to scroll horizontal and vertical of course.
Is there any way to do that?
PS: My app is not about pokemon, so do not try to call Mewtwo please (:

Time-series Stock Data in Matlab

I'm a MatLab beginner, and have no idea what I'm doing.
I have stock data in CSV format which is something like this:
+--------+--------+------+------+-----+-------+
| Ticker | Date | Open | High | Low | Close |
+--------+--------+------+------+-----+-------+
| APPL | 25-Oct | 10 | 12 | 9 | 12 |
| XYZ | 25-Oct | 10 | 12 | 9 | 12 |
| APPL | 26-Oct | 12 | 15 | 10 | 15 |
+--------+--------+------+------+-----+-------+
There are many stock tickers each day. The file is many rows long listing daily stock prices for each ticket on a particular stock exchange.
I'm aiming to do some fun time-series analysis on the 'close' price for each ticker.
To start with making simple charts of a single ticker over time, or multiple tickers over time would be awesome.
Questions:
1. Best way to import data.
I have a big long CSV. But am lost as to which import method is best. Column Vectors, Numeric Matrix, Cell Array or Table?
2. I need to create a time-series object for each ticker, right?
How would one go about that? I've been looking at this guide, but I'm unsure how to make an object for each ticker, over the span of time defined in the file.
http://www.mathworks.com/help/matlab/ref/timeseries-class.html
Any advice, pointers and resources that are good for beginners are appreciated massively!
Thanks!
There are a ton of ways to import data into MATLAB. Before you import data, I would make sure numeric columns hold ONLY numeric data or MATLAB can complain. Some options in my personal order of preference:
d = readtable('mycsvfile.csv'); % puts data in nice table datatype. I find it makes code more readable.
d = csvread('myfile.csv',1,0); % the 1 skips the first row which is probably header names for the csv file. Puts all the data in a matrix and you have to keep track of what column is what.
xlsread is good for reading excel files
Copy and paste the data into a variable in your workspace. Do save blahblah.mat so you can easily load the data later.
I personally wouldn't bother with financial time series objects. It's just going to complicate your life if you're new to MATLAB. If you loaded the data using tableread (i.e. option 1) you can then execute something like:
aapl_indicator = strcmp(d.Ticker, 'AAPL');
to get a vector indicating whether a row in your table is AAPL or not. Then:
close_price_aapl = d.Close(aapl_indicator);
will give you a vector of Apple's closing prices.
When you get down to doing math, you want to be using the matrices.

merging rows in postgres with matching fields

I have a table format that appears in this type of format:
email | interest | major | employed |inserttime
jake#example.com | soccer | | true | 12:00
jake#example.com | | CS | true | 12:01
Essentially, this is a survey application and users sometimes hit the back button to add new fields. I later changed the INSERT logic to UPSERT so it just updated the row where email=currentUsersEmail , however for the data inserted prior to this code change there are many duplicate entries for single users. i have tried some group by's with no luck, as it continually says the
ID column must appear in the GROUP BY clause or be used in an
aggregate function.
Certainly there will be edge cases where there may be clashing data, in this case maybe user entered true for the employed column and then in the second he/she could have enter false. For now I am not going to take this into account yet.
I simply want to merge or flatten these values into a single row, in this case it would look like:
email | interest | major | employed |inserttime
jake#example.com | soccer | CS | true | 12:01
I am guessing I would take the most recent inserttime. I have been writing the web application in scala/play, but for this task i think probably using a language like python might be easier if i cannot do it directly through psql.
You can GROUP BY and flatten using MAX():
SELECT email, MAX(interest) AS interest,
MAX(major) AS major,MAX(employed) AS employed,
MAX(inserttime) AS inserttime
FROM your_table
GROUP BY email

Cross tab summary fields don't restrict by column

so I'm working with Crystal Reports 10 and was looking at the cross tab to try and have a nice and neat table of my information. I'm trying to make a report where for each item (as a row), the columns will be the different sizes it comes in and the value of that cell will be the quantity.
So something that looks like this:
Small | Medium | Large
Item 1 1 | 5 | 10
Item 2 5 | 10 | 15
Using the cross tab though, the quantity field I have has to be totalled, averaged, etc. so I can't get the specific breakdown for each size in a nice table like that. Is there any way to tweak the Cross Tab to do this or is there another tool in Crystal Reports that would let me have the quantities per size in that organized fashion?
Thanks for any help you guys can give.
Update:
The cross tab I have tried gives me something that looks like this
Small | Medium | Large
Item 1 16 | 16 | 16
Item 2 30 | 30 | 30
If I put the values in the details section as separate fields, I'm able to get the values to match up properly, but its not the right format. It comes out like this
Item 1 | Small | 1
Item 1 | Medium| 5
Item 1 | Large | 10
Create a Cross-tab
Add {table.size} to the Columns
Add {table.item} to the Rows
Add {table.quantity} to Summarized Fields