I have straight table with lot of data...
I need to create bar chart from this table - dimension to be year and expressions Column(1)-Column(2).
column(1) = sum(Saldo)
column(2) = sum(Saldo)/3
I try to set dimension to be year and expresion
sum(sum(Saldo) - (sum(Saldo)/3))
but I don't get same total like I get sum of rows of Column(1)-Column(2).
This is because I need to include in dimension Line.
How can I create bar chart with dimensions I have in straight table...?
Any idea?
You need to use AGGR function:
sum(aggr(sum(Saldo) - (sum(Saldo)/3),Document,Line,Item,Unit))
or just use plain math:
Sum(Saldo * (2/3)) or Sum(Saldo)*(2/3)
Related
I am trying to create visualizations for recent commonwealth medal tally dataset.
I would like to create a grouped bar chart of top ten countries by total number of medals won.
Y axis = total
x axis = Country name
How can I divide totals into three bars consisting of no of :
gold, Silver,Bronze medals won by each country?
I created one using excel, but don't know how to do it using seaborn
P.S. I have already tried using a list of columns for hue.
df_10 = df.head(10)
sns.barplot(data = df_10, x = 'team' , y = 'total' , hue = df_10[["gold" ,
"silver","bronze"]].apply(tuple , axis = 1) )
Here is the chart that I created using excel:
enter image description here
To plot the graph, you will need to change the dataframe to the format that will allow for easy plotting. One of the ways to do this is using dataframe.melt(). The method used by you may not work... Once the data is in a format that seaborn understands easily, plotting will become simple. As you have not provided the format for df_10, I have assumed the data to have 4 columns - Country, Gold, Silver and Bronze. Below is the code...
## Use melt using Country as ID and G, S, B as the rows for values
df_10 = pd.melt(df_10, id_vars=['Country'], value_vars=['Gold', 'Silver', 'Bronze'])
df_10.rename(columns={'value':'Count', 'variable':'Medals'}, inplace=True) ##Rename so the plot has informative texts
fig, ax=plt.subplots(figsize=(12, 7)) ## Set figure size
ax=sns.barplot(data=df_10, x='Country', y='Count', hue='Medals') ## Plot the graph
I have created my Pivot plotting and now looking for resctricting it for the last few days only.
I am not able to restrict the same. can some one help me on the same.
In the plot function use show_last = x
Where x is the number of bars to show from the latest bar.
For example to plot the pivots on the last 10 bars use:
plot(series = pivots, title = "Pivots", show_last = 10)
I am using working on Tableau stacked bar chart.
The bar chart represents the total %. Therefore, the length of bar chart is equal.
Now I would like to sort the dimension (referee) based on the values of legends ( highest to lowest).
can anyone suggest me how to do it.
I also attached the packaged workfile here
Here is the picture of sort screen;
Level of data source below:
Below is the screen shot based on the final answer provided:
Thanks,
Zep
So to get this you first need to get a calc field that gets the win %:
SUM(IF [FTR] = 'AWins' OR [FTR] = 'Hwins' THEN 1 END)/COUNTD([Game ID])
This can then be used to rank the referees:
Now the reason that it may not be working for you with your technique is that you're sorting on COUNTD(Wins) which is the total number of wins, not the percentage wins for the ref. So someone that has just played more games may come up higher in the rank
Now you have the calc field, you can go back to your report and sort on the new field:
I rearranged the legend so you can see that the ref with the best % wins are shown first (red and blue bars)
If you don't want it sorted by win %, then change the calc field to:
SUM(IF [FTR] = 'AWins' OR [FTR] = 'Hwins' THEN 1 END)
For the COUNTD of games, if you only have the date and the game available and want to create an ID from that that is unique, create a calc field like this:
game-date-id = STR([game]) + STR(' ') + STR(date)
This will then be used in your COUNTD if statement:
SUM(IF [FTR] = 'AWins' OR [FTR] = 'Hwins' THEN 1 END)/COUNTD([game-date-id])
I have attached the picture of the dashboard.
I want to sort the referee based of Hwin
Yeah. It did not work out as expected
I try to display a chart with stacked bars. The problem is, that I don't know how to get the stacked bar grouped by a column. My grid gets its data from a xml-file.
I used the following code to init my chart:
var chart = layout.cells("c").attachChart({
view:"stackedBar",
value:"#data5#",
color:"#36abee",
padding:{left:75, bottom:50, top:50, right:30},
yAxis:{start:0, title:("value")},
xAxis:{},
preset:"column",
border:0
});
The Columnstitles look like that:
Attributes/Title - Sample 1 - Sample 2 - Sample 3 - Constant - Result 1 - Result 2 - Result 3
Attributes = Description of the value (e.g. CO2, H2O ...)
Sample 1 - 3 = the values in the sample
Constant = Constant for Calc
Result 1 - 3 = Result for each Sample
What I need is a stacked bar for each result column with all the Attribute in it. With my code I get only a stacked bar for each row. Can anybody help me out?
Thanks a lot
Dan
I would like to draw dynamic vertical marker line in my chart. Position of marker is available in dataset named ml_data in column ml_position. This is a dataset with one row and one column only. Is there a way how I can get value of ml_position in javascript? Currently I have the following working example:
function beforeDrawMarkerLine(axis, markerLine, icsc)
{
importPackage(Packages.org.eclipse.birt.chart.model.data.impl);
importPackage(Packages.org.eclipse.birt.chart.model.component.impl);
var ml_value = 20;
markerLine.setValue(NumberDataElementImpl.create(ml_value)) ;
}
The value is currently fixed (20). I would like to assign value of ml_position to ml_value.
My working solution:
Create global variable "mpos" and put your chart into simple table with one row a one column. Assign dataset with ml_position to table. This is important for executing dataset onFetch script before rendering chart. Finally set following scripts:
Dataset onFetch script:
reportContext.setPersistentGlobalVariable("mpos",row["ml_position"].toString());
Chart onRender script:
function beforeDrawMarkerLine(axis, markerLine, icsc)
{
importPackage(Packages.org.eclipse.birt.chart.model.data.impl);
importPackage(Packages.org.eclipse.birt.chart.model.component.impl);
var ci = icsc.getExternalContext().getScriptable().getPersistentGlobalVariable("mpos");
markerLine.setValue(NumberDataElementImpl.create(ci)) ;
}