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
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 have two values I wish to plot against each other in tableau. They are two totals aggregated around the same date. I can get them to the point where they are plotted on a dual access against the date like so:
but any attempt to plot them against each other for correlation has come to nothing. I've tried simple conversion to scatterplot, using calculated fields, using a cross tab with subtitles and attempting to only plot the subtotals against each other all of which have failed. I could do it in Excel but have to do it in tableau.
I have consulted the official Tableau 9.0 guide, google and existing questions on Stack Overflow all to no avail. If I was doing this in BOXI, I could just select the columns and chart them. How do I do the equivalent visualisation in Tableau?
You aren't clear about what type of chart you want to make.
Do you want a scatter plot? If so, put one measure on the row shelf, the other measure on the column shelf, and one or more dimensions (such as your date) on the detail shelf to define how finely to aggregate the data. Check the aggregation functions you use (SUM, AVG) and the aggregation level for your date fields (YEAR, MONTH ...) as desired. You probably want to use the second block of date aggregations on the menu unless you want to group all January data together regardless of year.
If you want a connected scatter plot, set the mark type from automatic to line and move the date field from the detail to the path shelf. You might also then want to put the date on size, color or legend to visually show the direction of time on the line. You might need to change that field to attribute in some cases to avoid creating multiple lines.
Tableau is fantastic once you learn how it works, and get a strong understanding of how choices about treating fields as dimensions or measures, or discrete or continuous impacts the behavior. If you skim over those details, you can still make beautiful charts by following recipes, mimicking examples (and asking StackOverflow), but Tableau's behavior will seem mysterious and arbitrary.
If you take some time to learn the fundamentals about how Tableau works, it will repay your time investment. I recommend Joshua Milligan's book Learning Tableau for a good way to start, along with the training videos on the Tableau website.
In my tableau visualization I need to show the change in a metric over every minute for a day.
I have a "minutes" table in my db. Each row has columns: "minute_id", type int
"minute", type string: carries the value of the time eg: "05:33, 12.30, etc"
"min_date_time", type datetime: carries the value of the time datetime equivalent of the above string value eg: "2013-11-01 2:30:00 AM, 2013-11-01 2:31:00 AM, etc"
A second table called "demos" has all the metrics that are shown for that specific minute.It has relevant columns as follows:
"minute_id", type int: foreign key for the minutes table
"ind2plus", type float: value to be displayed on the y axis for each "minute_id"
This is what I have so far:
The problem Im trying to solve is:
On the X axis currently the displayed unit is "minute_id".
I would like to keep minute_id as the values on the X axis,
but I would like to change the values "displayed" as labels on the X axis from
the int value in the "minute_id" column to the string value in the "minute" for every "minute_id".
How do I do that? Please advise.
UPDATED GRAPH:
If you have a true datetime field in your data, you get more flexibility by using that field for most situations.
So I suggest putting your min_date_time field on the columns shelf to replace minute_id.
Tableau allows you to use dates and time fields in many different ways for different effects -- so many options that it can be confusing. You have to choose whether to treat the field as a dimension or measure, whether to treat it as discrete or continuous, and what level of granularity to use (hour, minute, month, exact date ...) It will take experimentation and experience to get comfortable with implications of the different choices.
For your graph, I would start by choosing a continuous dimension at the minute level. You can adjust the settings by clicking the little triangle on the right of the pill on the columns shelf. The truncated date settings are the second batch of date menu options and result in a green pill. Once set, you can drill up/down granularity with the + on the left of the pill.
Finally, once you are happy with your chart, you can change the formatting instructions to affect how dates are displayed on the axis. Right click on a number on the axis, choose format, and then in the format pane, under scale you should see a pull down labelled Dates. You can choose one of the existing date formats or enter a custom one. The format strings are pretty much what you expect.
In R, I would like to make an aesthetically pleasing visualization of the following data (modification of time series):
User ID | Date | Numeric_value | Category
-----------------------------------------
I would like to plot a change of a numeric value daily for different users in the same graph, in each of the categories. That is we split this original data to observe numeric value change in each of the categories per user daily. Looks like 3-dimensional plot.
Data specifics: there are 50 different categories in data. User has numeric value in 1-5 categories at a time, and overtime this subset of categories for a user changes. We want to observe level of numeric values in these categories per user, how it cycles, when new categories per user appear and disappear and with what numeric value level.
The number of users goes in 10000s. Dates period is about 100 days.
Same User ID does not necessary appear every day with values in at least one category, while on the other day this User ID might have values in several categories. If I plot an individual, for example, I want every day to be shown, even if there is no value in any of categories. I guess, when I deal with many User IDs I will have values and categories on every day.
I can consider simplifying the task, producing separate graphs. Naturally, it suggests different graphs by category (like example provided here), but I would not want that, because it is important to see a set of categories and respective values per user together.
I am not a pro with R, but considering data size, it also has to be a tool that can handle that size. Thanks for suggestions.