i'm trying to create simple bar chart in Tableau.
Here example of my table :
country | emissions | population
ES | 3000 | 46M
FR | 6000 | 66M
I want to put value in Y-axis, population in X-axis and the country label associated in the top of each bar. But i cannot do that (Tableau don't allow measures in Y axis and X axis, only one measure is allow).
Here an example of result I have : enter image description here
The problem is that in the Y-axis, I cannot put measure so I convert emissions as dimension but i can't sort by crescent order. And I don't have solutions in order to put each country associated on the top of eache bar...
Here my data (not huge) : https://sendeyo.com/show/a73c58538d
Thanks for advance !
Maybe this is what you're looking for?
Or
Link to sample.
Related
So I have sales numbers for two cities , Mumbai and Delhi which are on my X- axis as shown in the picture.
I want to be able to add a new column next to Mumbai and Delhi columns known as "Total" column, which holds the sales numbers for both the cities combined. I have posted the sample picture of how i want it to look below !
Kindly help
Try with dax function, I think its possible.
I have a column known as "Gender" that has values 1 = Male and 2 = Female.
Each column has a corresponding value next to it, as follows:
Gender Value
1 500
2 300
1 300
2 400
and so on.
I want to plot this (with each individual value) on a tableau sheet but if I put either of these measures it just SUMs it up by default. Is there a way to plot it like a normal graph with say one attribute as row and the other as column?
Drag Gender to the dimensions section of the data pane (left margin). You might also want to right click on it and edit the aliases.
If you don't want aggregate values in your viz, you can turn that off with the Analysis menu
So I have what seems like a pretty dumb question but I haven't been able to find an example online or figure out how to do it myself.
I want to create a visualization with the dimension headers going down the y axis and the values going across the x axis. I'm creating a cross tab/text table kind of visualization. It's just one name, an address, some demographic info. If you try to use each field as it's own column, the info gets pretty cramped. Using the transpose button doesn't work, and dropping the pills on to the row instead of column doesn't work. I've tried changing them from dimensions to attributes, but still no luck. Any tips would be very much appreciated.
Update:
Before:
ColA | ColB|
A | B |
After:
ColA | A
ColB | B
Generally if you want the dimension headers on Y and the values on X, you put the dimension pill on the rows shelf and the measure pill on the columns shelf. You might want to change a dimension to a measure and use a COUNT() or COUNTD() for example to see how many people come from a given city.
If you want to actually display several different measures next to each other (say the number of distinct cities and the number of distinct zip codes) you can drag the "Measure Names" pill on the rows and the "Measure Values" pill on the columns and add or remove the pills you need/don't need.
If this is not what you need, it would be good if you could post a screenshot of your dashboard (including the shelves and the dimensions pane). THat usually helps a lot to see where your problem is.
I have a dataset in the following format:
Country | Dim1 | Dim2 | Dim3
Country A | 10 | 20 | 30
Country B | 20 | 40 | 10
I want to create a filtered bar chart, where each bar is a different dimension, and you can filter by country.
Thanks!
As Suggested above you can reshape your data.
Or
you can create a Bar chart with 3 bars. Drop the 3 dimensions to column or rows depending whether you want bar charts vertical or horizontal.
Then put the country filter in the filter pane and click show quick filter.
Now you should be able to filter the data based on the country all dimensions.
You might have an easier time if you reshape your data to have 3 fields (columns): Country, Dimension and Value.
Then you can place Country on the Filter shelf, Dimension on the Row shelf and Value on the Column shelf, assuming Value is a continuous measure.
I am trying to create Stacked Area Chart in Tableau.
Workbook is on Public Tableau
Data is left joined via CUSIP, i.e
- excel sheet of CUSIP with interest rates
- excel sheet of CUSIP with date and index ratios
Workbook is filtered by CUSIP, and has a parameter called Principal (integer) which the user can input via adjusting slider, and has calculated field Inflation-Adjusted Principal which is
[Principal] * [Index Ratio]
Now, I am trying to create this type of Area Map from this webpage
But my chart ends up like this (refer tab Inflation-Adjusted Trend). It just adds up everything together.
And if I try to deliberately create an Area Chart, it looks like a bunch of color blocks (refer tab Inflation-Adjusted Trend 2) ... How to fix?
I did a quick check on the range of your [Index Ratio]s:
MAX([Index Ratio]) - MIN([Index Ratio])
For every CUSIP, it's 0.00007.
+-----------+------------------+------------------+
| Cusip | Max. Index Ratio | Min. Index Ratio |
+-----------+------------------+------------------+
| 912828H45 | 1.00760 | 1.00753 |
| 912828TE0 | 1.03779 | 1.03772 |
| 912828SA9 | 1.05443 | 1.05436 |
| 912828QV5 | 1.05888 | 1.05881 |
| 912828PP9 | 1.09097 | 1.09090 |
| 912828NM8 | 1.09431 | 1.09424 |
+-----------+------------------+------------------+
For any line, if your scale is too large, it's going to look like a straight line. Here's a line chart of a single CUSIP's [Inflation-Adjusted Principal]:
Here's that same line chart if I change the axis to not show zero:
The axis now spans from approximately the min to the max, so we can see the detail easily.
All of your [Index Ratio]s are pretty far apart from one another, considering the scale. Here's a shot of another line chart, but this time with a line per CUSIP:
If you're going to group by [CUSIP], your scale is going to be too large to see the detail in the lines in this type of view. This isn't a Tableau problem, it's just the nature of your data. Looks like you're going to need to find another creative way to visualize this, or choose a different aspect of the data to visualize that can tell the same story.