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 responate in some way.

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

    Select the phrases you find MOST convincing
    - The current electrical grid is outdated. Our current grid still uses the same basic technology that was developed nearly a century ago and was designed primarily for transmitting electricity from large, centralized power plants its not equipped to handle our 21st century energy needs. - The current electrical grid includes very little storage. Right now, the grid operates on a use it or lose it basis if we dont use electricity that is generated right away, it cant be stored for later. Modernizing the grid would enable utilities to produce electricity when its cheaper, store it, and put it back into the grid when it is needed (for example, using stored solar energy at night). - Modernizing the grid will help us move to renewable energy. The renewable energy industry is expanding rapidly, but our grid wasnt built to handle large amounts of renewables like wind and solar. If we want to maximize our ability to move to clean energy in the future, we need to start building a renewable-ready grid now. - Investing now will result in cost savings for consumers. Adding storage will make the grid much more efficient and reduce waste, while also allowing us to move to more clean energy, which is coming down in cost rapidly. Economists say modernizing the grid will end up saving American families money in the long run. - Modernizing the grid will create jobs. Investing in modernizing our electrical grid will drive the development of a huge new clean tech industry, put people across the country to work, and spur innovation in clean energy technology. - A modern grid will reduce air pollution from burning fossil fuels. Modernizing our grid will allow us to move away from dirty energy sources like coal and toward clean energy more quickly, reducing harmful soot and mercury pollution and resulting in cleaner air and water. - A modern grid will help us combat climate change. Modernizing our grid now is essential to eliminating the carbon pollution that causes climate change and securing a better, healthier, and safer world to our children and grandchildren. - A modern grid will be more resilient to disasters. Widespread blackouts can occur when just a few components of the electrical grid succumb to extreme weather. A modern grid will be more resilient to these kinds of threats because it will incorporate more sources of energy and allow energy to be stored for times of need.

    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