Tell your story with Protobi chart elements

From interactive exploration to polished presentation, Protobi has a wide array of charts and visualizations. Our professional services team can help you create your own custom chart types. Here are some examples...

Baseline charts

Baseline bar chart

Baseline charts are the heart of Protobi. Deceptively simple, they work the same for every survey data type, from categorical variables, grids, ratings, numeric open, text open ends, and more.

So named because they compare the current subset of respondents to a baseline population, highlighting statistically significant differences.

Q.1 Generally, how would you say things are these days in your life - would you say that you are very happy, pretty happy, or not too happy?
Response #/%
Very happy 30.5%
Pretty happy 50.9%
Not too happy 15.4%
Don't know/Refused (VOL.) 3.2%
N 2511

Click to drill in

Click on any value to select a subset of respondents.
All charts everywhere update to reflect this subset.
  • Click to select is a value
  • Shift+click to select is not a value.
  • Alt+Click to select or is a value.
    (option+Click on Mac)
  • The chart here shows respondents who replied "Very happy" are selected. The baseline distribution for reference is all respondents.

    Q.1 Generally, how would you say things are these days in your life - would you say that you are very happy, pretty happy, or not too happy?
    Response #/%
    Very happy 100.0%
    Pretty happy 0.0%
    Not too happy 0.0%
    Don't know/Refused (VOL.) 0.0%
    N 766

    Outlines show the baseline,
    arrows show significant differences

    This chart shows responses to q2 for those respondents above who selected "Very happy". Here we see respondents who are happy are significantly more likely to also be in "Excellent" health.

    By default, all stats tests are at the 0.05 level of significance but you can change that.

    Q.2 How would you rate your own health in general these days? Would you say your health is excellent, good, only fair, or poor? 
    Response #/%
    Excellent 41.3%
    Good 46.7%
    Only fair 10.6%
    Poor 1.2%
    Don't know/Refused (VOL.) 0.3%
    N 766

    Drag and drop crosstabs

    Crosstab one element by dragging another "banner" element on to it.

    Or cross all elements by dragging a "banner" element onto the Crosstabs button in the toolbar.

    Choose between "Complement" testing (shown here) where each column is compared to all other columns combined for simple highlighting or "Pairwise" testing where each column is compared to each other column for detailed .


    Q.1 Generally, how would you say things are these days in your life - would you say that you are very happy, pretty happy, or not too happy?

    Only fair
    Very happy 30.5% 49.6% 27.6% 18.2% 7.4%
    Pretty happy 51.0% 42.7% 57.8% 48.4% 31.1%
    Not too happy 15.3% 6.0% 11.3% 29.6% 54.9%
    Don't know 3.2% 1.7% 3.3% 3.8% 6.6%
    N 2504 637 1299 446 122
    Chi Square: 397.2 (p = 0.000)

    Bin numeric values into ranges

    Numeric values are automatically binned into ranges for analysis, with the bin size based on the observed distribution and snapped to a nice multiple of 1, 5, 10 or 25.

    You can choose your own bin ranges, including specific cut points.

    This chart shows the BMI for US outpatient visits in 2016 by patients age over 15, from US CDC National Ambulatory Health Care Survey .

    Body mass index - calculated from height and weight
    Response #/%
    11 to 15 0.1%
    16 to 20 5.4%
    21 to 25 23.9%
    26 to 30 32.2%
    31 to 35 21.3%
    36 to 40 9.6%
    41 to 45 4.6%
    46 to 50 1.8%
    51 to 55 0.8%
    56 to 60 0.2%
    61 to 65 0.1%
    Mean 29.2
    N 450314

    Checkbox groups

    Check-all-that apply questions are common in surveys but a little tricky to analyze since each option is an independent variable. Protobi automatically collapses these into concise summaries.

    Which technology products do you own?

    Compact to Yes

    Response #/%
    Android Phone
    No 49.1%
    Yes 50.9%
    N 7643
    Mean 0.509
    No 75.5%
    Yes 24.5%
    N 7643
    Mean 0.245
    No 77.0%
    Yes 23.0%
    N 7643
    Mean 0.230
    Android Tablet
    No 77.1%
    Yes 22.9%
    N 7643
    Mean 0.229
    No 83.9%
    Yes 16.1%
    N 7643
    Mean 0.161
    Xbox 360
    No 83.9%
    Yes 16.1%
    N 7643
    Mean 0.161
    No 86.4%
    Yes 13.6%
    N 7643
    Mean 0.136
    Other (please specify)
    No 90.6%
    Yes 9.4%
    N 7643
    Mean 0.0942
    Windows Phone
    No 91.8%
    Yes 8.2%
    N 7643
    Mean 0.0819
    Kindle Fire
    No 95.2%
    Yes 4.8%
    N 7643
    Mean 0.0481
    Windows Tablet
    No 95.5%
    Yes 4.5%
    N 7643
    Mean 0.0450
    Wii U
    No 97.8%
    Yes 2.2%
    N 7643
    Mean 0.0216
    Xbox One
    No 98.3%
    Yes 1.7%
    N 7643
    Mean 0.0173
    No 98.3%
    Yes 1.7%
    N 7643
    Mean 0.0169

    Text analytics

    Word clouds

    Word clouds are a fun way to quickly see the gist of text responses.

    Protobi can take care of the practical details like split sentences at word boundaries or delimiters, put everything in the same case, combine spelling variations, keep certain phrases together, limit the number of words to an absolute count or threshold frequency, etc.

    You can use the default color scheme or choose your own.

    What are your initial thoughts about the device you have just reviewed?


    Automatic translation

    Protobi can handle global language characters and connects directly Google Translate APIs to automatically detect the source language and translate text verbatims.

    Respondent location
    AustraliaČeská republikaDeutschlandΕλλάδαRepública ArgentinaКиргизияMéxicoÖsterreich中国 (中华人民共和国)ΚύπροςישראלՀայաստանБългарияGrønlandErie日本澳門МакедонијаRépublique françaiseЦрна Гора


    Highlighter analysis

    Some survey engines let respondents highlight sections of images or text that resonate in some way.

    Protobi can handle highlighter data for text or images, updating dynmamically as you filter respondents

    Please read the following passage from Moby Dick, and highlight the words or phrases that you find most convincing:
    Again , I always go to sea as a sailor , because they make a point of paying me for my trouble , whereas they never pay passengers a single penny that I ever heard of . On the contrary , passengers themselves must pay . And there is all the difference in the world between paying and being paid .< br > br > Finally , I always go to sea as a sailor , because of the wholesome exercise and pure air of the fore - castle deck . For as in this world , head winds are far more prevalent than winds from astern ( that is , if you never violate the Pythagorean maxim ), so for the most part the Commodore on the quarter - deck gets his atmosphere at second hand from the sailors on the forecastle . He thinks he breathes it first ; but not so . In much the same way do the commonalty lead their leaders in many other things , at the same time that the leaders little suspect it . But wherefore it was that after having repeatedly smelt the sea as a merchant sailor , I should now take it into my head to go on a whaling voyage ; this the invisible police officer of the Fates , who has the constant surveillance of me , and secretly dogs me , and influences me in some unaccountable way he can better answer than any one else . And , doubtless , my going on this whaling voyage , formed part of the grand programme of Providence that was drawn up a long time ago . It came in as a sort of brief interlude and solo between more extensive performances . I take it that this part of the bill must have run something like this :—

    Analytic charts

    Cumulative line charts


    Date respondent completed survey
    Apr 82018Apr 150%20%40%60%80%100%

    Van Westendorp Price Sensitivity Meter

    Van Westendorp charts are a common tool for eliciting price perceptions, asking four pricing questions:

  • At what price is X too cheap?
  • At what price is X a bargain?
  • At what price is X expensive?
  • At what price is X prohibitive?
  • Protobi displays these as cumulative line charts, with two series reversed.

    At what price would you consider the product to be ...
    Too affordable not to useGreat valueExpensive but worth itProhibitive

    survival curves

    Surveys often elicit time intervals, as start and end dates.

    The Kaplan-Meier survival curve is a tool from clinical research that provides a simple, assumption free way to describe the distribution of time intervals even when many are still continuing.

    Duration of time on therapy
    Total time on therapy for agent across all regimens, 
    (regardless of disease stage in which patient started therapy)
    1 3 6 12 24 36 48 60 120 0% 20% 40% 60% 80% 100% Medication A Medication B Medication C Medication D Product X Product Y months

    Stacked columns


    Nested lines


    Test status
    Q6. How would you describe the status of testing for
    COVID-19 in your state/region of the country?
    (Compact to At or exceeds level needed)
    Mar 25Apr 1Apr 8Apr 14Apr 21Apr 280%20%40%60%80%100%
    ChinaEuropeItaly and SpainRest of worldUS

    Scatter plots