I am completely new to Cognos, so sorry if I don't state some necessary information. I can't go into specifics about my chart, but here is the background:
I have a SQL code running into my Query
My chart and list use the same Query and have the exact same fields
My chart is a basic line graph
When I change my aggregate function to total for my y-axis, then I can see the data points
I do not want to use an aggregate function (I need to see all the points for my x and y-axis)
My x-axis is only one object, but it has multiple y-axis values within a year (which is my series). Ex:product-cost-year list,
where my product is the x-axis, cost is the y-axis, and series is year.
How can I get my chart to appear with all my data points? Eventually, I would like to add an upper and lower confidence interval to this chart.
One way to solve this issue is to create another column that simply counts the number of products (1,2,3,...9). We will call this column count. Keep all your fields the same (product for x-axis, cost for y-axis, and year for series). You will want to add count underneath product on the x-axis. You should see your mouse pointer turn to a horizontal line and it will place it under and to the right of product. Make sure not to place it just to the right of product.
Related
I am working with a dataset with which I am creating a dashboard. My dataset is very simple, a first column of [yyyy-mm-dd-hh-mm], and a second column with many values.
I read in many threads and forum about the difficulty to plot dates on x-axis (including hours and minuts).
As reference I am using this dashboard built in PowerBi https://www.terna.it/it/sistema-elettrico/transparency-report/total-load .(Public data of Italian electric energy generation)
This is exactly the outcome I would like to obtain, but by now I cannot display the hours and minuts. I used their data to reproduce the dashboard.
I tried to switch from a "dates" x-axis to a "text" x-axis, but the result is not the same, and furthermore the plot does not occupy the whole page but I have to move to the right.
enter image description here
I really cannot understand how the linked dashboard was built.
Any idea?
I guess your problem is that you have been using Date Hierarchy on the x-Axis you instead of Date only.
Is it possible to add percentages to the chart legend, or is it the only way to put percentages to the chart, by adding the "Percentile Value Data"?
Thanks for your help in advance.
AFAIK the percentile value is usually something different, it only makes sense if the categories are based on intervals, e.g. given 7 billion living humans and measuring their age, the top 0.1 percentile are the 7_000_000_000 * 0.1/100 = 7_000_000 oldest living humans.
So, percentile values make sense for things you can measure, like age, income, length - in other words, numbers, or at least things which can be ordered.
You wouldn't use a pie chart then.
Percentile values don't make sense for things that cannot be measured like car labels.
Take a look at https://forums.opentext.com/forums/developer/discussion/48914/how-to-create-pie-chart-with-percentage-instead-of-values
M Williams writes there (I just repeat this here):
In the chart editor, you can go to the "format data" tab, then to the value series section, click on the "labels" button at the bottom, delete the "value data" option from the values window, then from the dropdown below the window, choose the percentage option and add it. This will show your pie chart labels in percentage.
I am trying to create a stacked bar chart between 2 dimensions (one being week, other is a string - more below) and 1 measure. I am new to Looker.
But in order to get the stacked bar chart I figure that I need to
Create a pivot
Transpose the data
Create stacked bar chart
I am stuck with step 2 and 3.
The above steps is what I have thought could help me arrive at the visualization I want but would appreciate if there is any other solution for this.
Scenario:
I have a digital marketing data with me, where I am trying to create a visualization on ‘Leads’ generated,
I have 2 dimensions, 1 measure
Lead Created Week - Week on which a lead was created
Reason2 - reason a lead was created or what reason attracted the user most
Leads - count of leads
I have plotted the below visualization where I have created a pivot of week with Reason2 and Lead count under it and have plotted it on a stacked bar chart (as below).
Where each bar is a Reason (X-axis) and each color is the Week dimension, leads (count of leads) is in the Y-axis
Even though this is help what would be helpful is having ‘Week’ on X-axis, ‘Leads’ (count of leads) on Y-axis and ‘Reasons2’ dimension as a legend.
There is also one catch i.e., there are more than 100 distinct values in ‘Reason2’ field but I need to pick on Top 10 Reasons (i.e., the reasons that generated the most leads), which in the above screenshot I have achieved by limiting the display rows to 10 as the measure was already sorted.
I tried to flip around the pivot by having reason in pivot and Week as dimension, but if now the pivot is sorted in alphabetical manner and not by value of measures (screenshot below), I need the top 10 reasons which most leads per week.
How do I achieve the desired visualization of having week on X-axis with leads on Yaxis but only the top 10 Reasons should be generated.
I am trying to produce a sales chart using only the native Excel features, I am trying to group sales data by month and category. I want my sale types to stack for a monthly total so that I can compare not only total volume, but also track where that volume is coming from. I have been able to group by month using a pivot chart, but I can't figure out how group my categories and display them as discrete parts of the monthly sum. Here is a mock-up of what I am trying to produce: http://i.imgur.com/BCFfwQJ.png
I'm helpless in VBA and SQL, and my coworkers are even worse than me at it, so I need to do this with just the built-in Excel 2010 features.
Set up the data so the months are in the first column, type labels in the first row, values in columns under the respective type, and keep the top left cell blank (above months and left of types). Add another column with the quota label next to the type labels and the quota values next to the type values. Make a stacked column chart from this data, right click on the quota series (which is another stacked column), choose Change Series Chart Type from the pop=up menu, and choose a line chart type.
I'm trying to create something like a GANTT Chart where I would have start dates and end dates designated by a shape like a diamond and then the period of time in between connecting the start and end date shown as a line connecting the shapes. Does anyone have any tips on how to do that in tableau?
For data I have an identifier column, an event column, a date column, a start date column, and an end date column.
To make a basic Ghantt chart in Tableau, put the start date on the column shelf, convert it to continuous exact date. Put the identifier on the row shelf and change the mark type to Ghantt. This should get a short bar at the start date of each task, with a row per task (assuming the ids are unique per task).
Now you need to specify how long the bars should be by putting a field showing the number of days for each task on the size shelf. You can create a calculated field to compute those durations as datediff('day', contract_start, contract_end). Place that on the size shelf and you should be off to a decent start.
You can add more info to the tool tips and use color to show contract type or something else. add some reference lines by right clicking on the axis. You will need some tweaks in the calculated field to deal with things like null (unknown) end dates, maybe recurring tasks ...
If you want a few milestone markers, you can use reference lines or point annotations to add them by hand easily.
Or if you want to include milestones as shapes with your data, you can use a dual axis chart.
Here is an example showing how to combine shapes and bars into one char. The details vary slightly depending on how your data is organized, but if you examine how the data for this workbook is organized, how the data connection joins the tabs, and how the workbook displays the data, you should be able to adapt the approach to your own data. Just realize sometimes it is easier to revise the way your data is shaped to make the analysis simpler.
Also, you might want to consider if you need both planned and actual dates.
See also
Gantt over time with summed bar