Right now I have three columns of data that I would need on a graph. It's about the score of different countries on non-related evaluations. So there's a column for the year of the evaluation, the name of the country and the score it got.
Since there are hundreds of them, it would take a lot of time to add data series individually, so I was wondering if isn't there a way to just select the columns and Excel could identify each series automatically.
Illustrating:
Supposing I had this table:
And wanted to create a graph like this:
Is there a way to do this easily?
Plot a PivotChart Line type: Years for ROWS, Country for COLUMNS and Sum of Score for VALUES.
Related
I have a data I want to sort into pivot-based graphs and I need help with it.
Below is an example of the data im sorting
Basically, I want the pivot to have a week number and category filter. Then for it to sort the data like a frequency based line-chart based on how many people have unit output in certain ranges. End product should look like this.
I am having trboule because every category has very different min and max points so it can't be done manually.
I tried to use a traditional pivot table but I cant get the frequency part down.
Thank you
Sorry about the title, it was hard to figure out how to word this. So, my main problem is a Total Count column represent the overall quantity, but the other columns are PART of a Total Count column. This wouldn't be so bad except the other columns may be part of each other too. Meaning, for like 11/26/18... the Total Count column is ALL of the Item Count, but some of the other ones may be in New PR Count too, but not necessarily all. Same thing with Dropped Outside LT and Dropped Late columns. They are all part of the Total Count column but all are not necessarily separate.
I feel nothing short of a bunch of complex formulae or macros will fix this so, what is my best option to show at least the individual counts? I was thinking to have the Total Count column as a Clustered Column chart type, the other columns as a Stacked Column and the 2 lines as is. Or all columns just be Clustered Columns and lines as is. What do you all think would best show this data?
So sadly, due to proprietary, I am told at work not to upload an image of the chart. FUN. So, here is what I have..
7 Series - 5 Series are Stacked Columns in Primary Axis, 2 Series are Line with Markers in Secondary Axis. Each column is for a single week's entry of data (so based around a Date entry.
The two Line with Markers are percentages (Secondary Vertical (Value) Axis) on right side of chart. On left side is Total Count (Verical (Value) Axis) basically showing a Count being connected to the Total Count column.
I have a report with 2 pie charts, giving sales data for product groups. Running a dataset from an OLAP cube.
I want to be able to select 2 different dates for each chart.
Example; Someone wants to compare November sales to the previous month. So one chart to display October, one to display November. Or they might want to see how Jan/Feb/Mar compare to Apr/May/Jun.
Can this be done from the same dataset, or do I need to point each chart to a separate dataset?
If the dataset returns the data for both months, you could add filters to each chart to show the appropriate one. However, it sounds like you'd want this to be more dynamic.
I would suggest creating two separate datasets, each with a month parameter. This will allow the user to select any combination of two months. The charts would simply point to their respective dataset. You shouldn't incur a noticeable performance hit either way.
I've been looking for a way to create a dynamic graph that I can filter by whatever month I want using the pivot table's filter feature. The x-values for my data set are time.
I know that I could just create a graph for all my data and then use Excel's auto filter feature for my x and y data (filtering x to limit the months displayed on the graph), but I have too many values, so the auto filter doesn't display all the months of the year, so there goes that idea.
Here's what I want my pivot table to display:
A column listing all my x-values (time)
A column listing all my y-values
A filter for my x-values (time)
So yeah, basically the same thing as my input except I can filter it and it'll dynamically update a scatter plot I make.
Is there a way to do this?
What version of Excel do you have? I haven't tried it with the volume of data you seemingly have, but in 2013 or later, if you format your data as a Table (Home > Format as Table), you can add Slicers and Timelines (Under the Design menu when a cell within the table is selected). This gives you a user friendly pane that lets you select a date range. Not sure if you will run into the same issue with having too many date values, but it is worth a shot.
Let me first say I am very new to Cognos and have mainly learned by just manipulating items within active reports. I am having an issue with creating a graph that acts like a time series. I want it to display every month (with multiple values in some months and none in others). I want to visually see gaps between data points (ex: we order products every 3 months starting in January, so we should see gaps in the months we do not order products - like February and March).
I have tried changing the label control to manual and setting display frequency to 1. However, I think my issue is that there is not any data within certain months.
You are correct in that your problem is lack of data. A standard inner join will drop rows where there is not a corresponding row in both tables, resulting in gaps.
There are two solutions available:
Use a union to create "dummy" records for each date
Manually specify an outer join between the date table and the table containing the rest of information
Since the first technique is the most common, I'll outline the basic steps for it here.
Create a new query
Add your month data item to the query
Create a 'dummy' data item for your measure. Use 0 for its expression.
If there is a date range filter in the main query apply it here
Create a union
Drag over your new query into the union
Drag over your original query into the union
Pull in the date and measure data items into the union query
Set the Aggregate Function property of the measure to Total
Use the union query as the source for your chart
For every month with measure data you will have two rows, one with the measure amount and one with 0. The two rows will be combined by the auto-group and summarize function. The measures will be added together. Anything added to 0 will end up as the original amount.
For months with no measure data, there will only be the 'dummy' row with 0 for the measure and it will be represented in your chart.