I have a technical issue with access graphs: I have a table in Access database with 4 fields: xValue, yValue, round, partOfRound
What I want: there are always 2 rounds, each round has 2 parts. I need to get a series per round per part (so from round 1 part 1, round 1 part 2, round 2 part 1, round 2 part 2) with all xValues and yValues in a chart.
But then I have an other problem:The xValue isn't a good number to show, this is needing to be this number divided by a number from an other table (see this as number in table3) where the row of table 3 equels the identifier with the identifier I use for my chart. (IDtable2=IDtable3)
The final result will be 4 lines with the data in my graph, so 4 series.
But when I use the wizard for making graphs, I can only set 1 field to the series value, so it will see a round as just 1 series instead of 2.
How do I solve this problem?
Kind regards
Kristof
What type of graph - just a column?
Concatenate the round and partOfRound fields.
Try changing the graph RowSource to:
TRANSFORM Sum(Table2.yValue) AS SumOfyValue SELECT Table2.xValue FROM Table2 GROUP BY Table2.xValue PIVOT [round] & "_" & [partOfRound];
Possible SQL to include table join to calculate the division:
TRANSFORM Sum(Table2.yValue) AS SumOfyValue
SELECT Round([xValue]/[Factor],0) AS x
FROM Table3 INNER JOIN Table2 ON Table3.PK_Table3 = Table2.FK_Table3
GROUP BY Round([xValue]/[Factor],0)
PIVOT [round] & "_" & [partOfRound];
For both queries, I had to open the graph editor (double click the graph) and from the menu click on "By Column" button to get the x values on the x axis.
I do hope round is not an actual name as it is a reserved word and should not use reserved words as names for anything.
Related
Could anyone help me ?
I want to sum the values with the format:
print (...+....+)
for example:
a b
France 2
Italie 15
Croatie 7
I want to make the sum of France and Croatie.
Thank you for your help !
One of possible solutions:
set column a as the index,
using loc select rows for the "wanted" values,
take column b,
sum the values found.
So the code can be:
result = df.set_index('a').loc[['France', 'Croatie']].b.sum()
Note double square brackets. The outer pair is the "container" of index values
passed to loc.
The inner part, and what is inside, is a list of values.
To subtract two sums (one for some set of countries and the second for another set),
you can run e.g.:
wrk = df.set_index('a').b
result = wrk.loc[['Italie', 'USA']].sum() - wrk.loc[['France', 'Croatie']].sum()
I have a table in Qlikview with 2 columns:
A B
a 10
b 45
c 30
d 15
Based on this table, I have a formula with full acumulation defined as:
SUM(a)/SUM(TOTAL a)
As a result,
A B D
b 45 45/100=0.45
c 30 75/100=0.75
d 15 90/100=0.90
a 10 100/100=1
My question is. how do I mark in colour the values in column A that have on column D <=0.8)?
The challenge is that D is defined with full accumulation, but if I reference D in a formula, it doesn't consider the full accumulation!
I tried with defining a formula E=if(D>0.8,'Y','N') but this formula doesn't take the visible (accumulated) value for D unfortunately, instead it takes the D with no accumulation. If this worked, I would have tried to hide (not disable) E and reference it from the dimensions column of the table , Text colour option. Any ideas please?? Thanks
You can't get an expression column's value from within a dimension or it's properties, because the expression columns rely on the dimensions provided. It would create an endless loop. Your options are:
Apply your background colour to the expression columns, not the dimensions. This would actually make more sense as the accumulated values would have the colour, not the dimension.
When loading this specific table, have QlikView create a new column that contains the accumulated values of B. This would mean, however, that the order of your chart-table would need to be fixed for the accumulations to make any sense.
Use aggregation to create a temporary table and accumulate the values using RangeSum(). Note this will only accumulate properly if the table is ordered in Ascending order of Column A
=IF(Aggr(RangeSum(Above(Sum(B),0,10)),A)/100>0.8,
rgb(0,0,0),
rgb(255,0,0)
)
I have 48 matrices of dimensions 1,000 rows and 300,000 columns where each column has a respective ID, and each row is a measurement at one time point. Each of the 48 matrices is of the same dimension and their column IDs are all the same.
The way I have the matrices stored now is as RData objects and also as text files. I guess for SQL I'd have to transpose and store by ID, and in such case now the matrix would be of dimensions 300,000 rows and 1,000 columns.
I guess if I transpose it a small version of the data would look like this:
id1 1.5 3.4 10 8.6 .... 10 (with 1,000 columns, and 30,0000 rows now)
I want to store them in a way such that I can use R to retrieve a few of the rows (~ 5 to 100 each time).
The general strategy I have in mind is as follows:
(1) Create a database in sqlite3 using R that I will use to store the matrices (in different tables)
For file 1 to 48 (each file is of dim 1,000 rows and 300,000 columns):
(2) Read in file into R
(3) Store the file as a matrix in R
(4) Transpose the matrix (now its of dimensions 300,000 rows and 1,000 columns). Each row now is the unique id in the table in sqlite.
(5) Dump/write the matrix into the sqlite3 database created in (1) (dump it into a new table probably?)
Steps 1-5 are to create the DB.
Next, I need step 6 to read-in the database:
(6) Read some rows (at most 100 or so at a time) into R as a (sub)matrix.
A simple example code doing steps 1-6 would be best.
Some Thoughts:
I have used SQL before but it was mostly to store tabular data where each column had a name, in this case each column is just one point of the data matrix, I guess I could just name it col1 ... to col1000? or there are better tricks?
If I look at: http://sandymuspratt.blogspot.com/2012/11/r-and-sqlite-part-1.html they show this example:
dbSendQuery(conn = db,
"CREATE TABLE School
(SchID INTEGER,
Location TEXT,
Authority TEXT,
SchSize TEXT)")
But in my case this would look like:
dbSendQuery(conn = db,
"CREATE TABLE mymatrixdata
(myid TEXT,
col1 float,
col2 float,
.... etc.....
col1000 float)")
I.e., I have to type in col1 to ... col1000 manually, that doesn't sound very smart. This is where I am mostly stuck. Some code snippet would help me.
Then, I need to dump the text files into the SQLite database? Again, unsure how to do this from R.
Seems I could do something like this:
setwd(<directory where to save the database>)
db <- dbConnect(SQLite(), dbname="myDBname")
mymatrix.df = read.table(<full name to my text file containing one of the matrices>)
mymatrix = as.matrix(mymatrix.df)
Here I need to now the coe on how to dump this into the database...
Finally,
How to fast retrieve the values (without having to read the entire matrices each time) for some of the rows (by ID) using R?
From the tutorial it'd look like this:
sqldf("SELECT id1,id2,id30 FROM mymatrixdata", dbname = "Test2.sqlite")
But it the id1,id2,id30 are hardcoded in the code and I need to dynamically obtain them. I.e., sometimes i may want id1, id2, id10, id100; and another time i may want id80, id90, id250000, etc.
Something like this would be more approp for my needs:
cols.i.want = c("id1","id2","id30")
sqldf("SELECT cols.i.want FROM mymatrixdata", dbname = "Test2.sqlite")
Again, unsure how to proceed here. Code snippets would also help.
A simple example would help me a lot here, no need to code the whole 48 files, etc. just a simple example would be great!
Note: I am using Linux server, SQlite 3 and R 2.13 (I could update it as well).
In the comments the poster explained that it is only necessary to retrieve specific rows, not columns:
library(RSQLite)
m <- matrix(1:24, 6, dimnames = list(LETTERS[1:6], NULL)) # test matrix
con <- dbConnect(SQLite()) # could add dbname= arg. Here use in-memory so not needed.
dbWriteTable(con, "m", as.data.frame(m)) # write
dbGetQuery(con, "create unique index mi on m(row_names)")
# retrieve submatrix back as m2
m2.df <- dbGetQuery(con, "select * from m where row_names in ('A', 'C')
order by row_names")
m2 <- as.matrix(m2.df[-1])
rownames(m2) <- m2.df$row_names
Note that relational databases are set based and the order that the rows are stored in is not guaranteed. We have used order by row_names to get out a specific order. If that is not good enough then add a column giving the row index: 1, 2, 3, ... .
REVISED based on comments.
I have an ecology data table with about 12,000 rows. There are three columns: site, species, and value. I need to add up the values for each set of matching site and species - for example, all "red maple" values at "site A". I have the data sorted by site and species, so I can do it by hand, but it's slow going. The number of site/species matches varies, so I can't just add up the values in sets of three or anything.
Similar types of questions have talked about pivot tables, but none have needed to match two columns and add a third column, and I haven't been able to figure out how to extrapolate to my situation.
I'm reasonably comfortable coding and would like to do something that looks like this pseudocode, but I'm not clear on the syntax in VBA:
For each row
if a(x) = a(x+1) and b(x) = b(x+1) then
sum = sum + c(x)
else
d(x) = sum
sum = 0
next
Any ideas?
In a PivotTable, put site in Row Labels and species in Column Labels (or vice versa) and Sum of value in Σ Values:
I'm working with an Access database and I need to concatenate different related rows into 1 row. I found a solution here and used it with great success. However I need to add extra conditions to it, it should only be done if certain other columns are equal too.
For example:
1 X Alpha
2 Y Beta
1 X Gamma
1 Z Delta
should become
1 X Alpha,Gamma
1 Z Delta
2 Y Beta
Does anyone know to do this, especially for a newbie like me?
It seems you are using the code supplied in Does MS access(2003) have anything comparable to Stored procedure. I want to run a complex query in MS acceess.
There is no reason why you should not feed in two fields as one in your sql, so an example:
SELECT Number & Letter,
Concatenate("SELECT Letter & Alpha As FirstField FROM tblTable
WHERE Number & Letter =""" & [Number] & [Letter] & """") as FirstFields
FROM tblT