I have an index of data; for example Animals and all data under Animals has 10 fields but some has 9 fields; for example field:human.
In a pie graph, I want to show the count of all data with column human and count of data without the column human.
How can I do it within a pie graph?
In Split Slices Bucket, use the Terms Aggregation on human field and don't forget to tick Show missing values checkbox. You will get the required result in the pie chart. Check out the following screen for reference.
Related
I have built a bar graph using tableau for the following data. How to add Total sales (120,150,200,180,140) on top of the each bar in tableau
[The following image has the data and bar graph that I was trying to build]
[1]: https://i.stack.imgur.com/NdA7s.png
Thanks for your help
Hope this helps.
I pivoted the data first to make it easier by working with a single measure.
Go to the data tab and select the Sale A and Sale B measures:
Then hit the dropdown and select Pivot.
Then your data will look like this
Next, you want to set the fields up like this so it mirrors your screenshot.
The SUM(Pivot Field Values) is a table calculation set up as percent of total calculated Table (down).
Then just duplicate your measure by holding Ctrl and dragging to Rows. Make it a label in the Marks section. This will add the total. You just have to play with the axis and format to get it into the place you want from here.
I have an excel sheet which I am plotting two values over time. But when I plot it in Power BI it shows the sum of those values in y-axis rather than the actual value. The plot looks like the following.
If you see the y-axis they are in billions. But if you see the actual data below its in hundred thousands range.
If I use date hierarchy instead this is how it looks like.
Since your data is on specific days, you should use dates on your axis rather than weekends. When you have weekends on the axis, it groups all the days within that week together, which is not what you want.
Edit:
After looking at your file, it has nothing to do with dates after all. It looks like the data is recorded at a weekly level. The reason its adding up like that though is that for each date there are a bunch of different rows that correspond to different geography (your geo column has state name abbreviations).
If you add a slicer for geo and look at the chart for a single state at a time, then I think you'll get more what you're expecting.
I read every possible forum and I couldn't find a specific answer. I'm new to Tableau and I need to perform what I thought would be a very simple task but I can't figure it out.
I need to create a chart with multiple lines plotted in the same graph. On one column, I have a timestamps in seconds (decimal). For each timestamp value, I have 4 columns associated (Temperature, Pressure, Humidity, Voltage) and I need to visualize how they trend over time. The data in Excel looks something like this (I simplified it for visualization purpose):
In Excel, it takes me less than seconds to obtain a chart that looks like this:
How can I replicate the same exact chart in Tableau? I would like someone to tell me exactly how each column should be formatted, if the data has to be a dimension or a measure and data type for each (string, number etc) and what steps to take in the chart. I would do this in Excel but the file is almost 1M rows and Excel keeps crashing.
drag & drop measure values & timestamp.
EDIT - first make Timestamp a dimension instead of a measure, and make sure it remains continuous instead of discrete. So you should not see the word SUM in front of Timestamp
remove no. of row & timestamp from the measure values.
uncheck aggregate measure.
EDIT this step is not usually needed or desirable. If you do have multiple recordings per Timestamp, you will want to select the best aggregation function for each measure, perhaps AVG or MEDIAN instead of SUM
select line from mark and drag measurement to color
If your X-axis is a Date Column, (i.e. You have a list of dates on your X-axis)
Drag your 'date column' to Columns and choose Month/Year/Week etc. and make it continuous
Drag 'Measure Names' to Filters and choose your Measures
Drag 'Measure Values' to Rows
Drag 'Measure Names' to the Colors section of the Marks card
I want to plot stacked column graph through Shinobi.
Please referer attached screen shot for desired graph.
Can anyone please suggest how to pass data point for the same.
Disclaimer: I am a developer at Shinobi Controls.
To get columns to stack you need to create a series for each column you wish to stack.
To get the series to stack, you must set each series' "stackIndex" property to the same value.
For example, in your image you will need 5 SChartColumnSeries with their "stackIndex" value set to the same value, lets say 1.
Now you can add one datapoint for each series with the same X value but with different Y values.
I have this problem:
I would like to create a pie chart from a column of a attribute table, and I would like to see this pie chart above the map. The column contains names not nubers...
I work with marine species distribution data and I built a database of records of many many species...
In the specific, I have a column, called 'species', where there are many records (names) of some marine species. Several species may have many records, other species may have only a few numbers of records, so my objective is to graphically see the distribuition of records among the species.
If build a pie chart is a very time consuming procedure, I'd be happy to create a new column of the attribute table with the numbers of different species per year (see the attachments) or to try a totally new approach with R.
Thankyou for your help
img1 http://postimg.org/image/rn56c8l4z/
img2 http://postimg.org/image/e6918ynmj/
You'll most probably get many answers that pie charts are evil because they distort perception.
But along with better alternatives, namely stacked bar charts, you find code examples here
and, as always,
? pie
helps.
You may need to summarize your factor first, e.g. by table.