Analyzing time monitoring

I conducted a psychology experiment and I want to analyze participants clock monitoring frequency. I want look for the mean number of clock checks by time blocks of 5 seconds. Then it would be nice to do a scatter plot to see if the distribution of clock checks differs by valence.
Any suggestions?

Here's part of my data...

tibble::tribble(
  ~Valence, ~CheckTime, ~Participant,
         0,       44.4,           1L,
         1,          7,           2L,
         2,       15.9,           3L,
         0,         35,           1L,
         1,       27.4,           2L,
         2,       30.4,           3L,
         0,       56.9,           1L,
         1,       45.7,           2L,
         2,       40.4,           3L,
         0,       40.8,           1L,
         1,       50.9,           2L,
         2,         48,           3L,
         0,         60,           1L,
         1,       55.4,           2L,
         2,         20,           3L,
         0,       23.4,           1L,
         1,       10.9,           2L,
         2,       37.6,           3L,
         0,       47.4,           1L,
         1,       27.4,           2L,
         2,       57.4,           3L,
         0,         61,           1L,
         1,       47.4,           2L,
         2,         37,           3L,
         0,       35.2,           1L,
         1,       55.4,           2L,
         2,       53.9,           3L,
         0,         54,           1L,
         1,        1.5,           2L,
         2,       36.1,           3L,
         0,       30.4,           1L,
         1,        8.9,           2L,
         2,       58.6,           3L,
         0,       58.7,           1L,
         1,       20.6,           2L,
         2,       45.9,           3L,
         0,       81.5,           1L,
         1,       26.9,           2L,
         2,       54.6,           3L,
         0,       26.2,           1L,
         1,       44.5,           2L,
         2,       47.4,           3L,
         0,         52,           1L,
         1,       51.5,           2L,
         2,       62.1,           3L,
         0,       38.7,           1L,
         1,       54.3,           2L,
         2,       39.5,           3L,
         0,         60,           1L,
         1,         24,           2L,
         2,       58.4,           3L,
         0,       21.1,           1L,
         1,         39,           2L,
         2,       58.9,           3L,
         0,       65.2,           1L,
         1,       49.4,           2L,
         2,       54.2,           3L,
         0,       30.4,           1L,
         1,       56.6,           2L,
         2,       40.5,           3L,
         0,       50.3,           1L,
         1,        0.8,           2L,
         2,       51.8,           3L,
         0,       60.3,           1L,
         1,       16.7,           2L,
         2,       37.9,           3L,
         0,       18.7,           1L,
         1,       41.8,           2L,
         2,       53.6,           3L,
         0,       33.8,           1L,
         1,       49.4,           2L,
         2,       36.2,           3L,
         0,         49,           1L,
         1,       53.5,           2L,
         2,       59.5,           3L,
         0,       61.4,           1L,
         1,        1.4,           2L,
         2,         49,           3L,
         0,       15.6,           1L,
         1,        8.3,           2L,
         2,       58.7,           3L,
         0,       36.5,           1L,
         1,       33.4,           2L,
         2,       52.2,           3L,
         0,       52.4,           1L,
         1,       58.6,           2L,
         2,       57.4,           3L,
         0,         59,           1L,
         1,        0.6,           2L,
         2,       31.7,           3L,
         0,       30.6,           1L,
         1,        8.9,           2L,
         2,       48.9,           3L,
         0,       57.8,           1L,
         1,       23.9,           2L,
         2,       55.7,           3L,
         0,       18.3,           1L,
         1,         41,           2L,
         2,         27,           3L,
         0,       35.9,           1L,
         1,         50,           2L,
         2,       54.6,           3L,
         0,       58.5,           1L,
         1,        0.8,           2L,
         2,       39.4,           3L,
         0,       21.2,           1L,
         1,       10.1,           2L,
         2,       64.8,           3L,
         0,       36.8,           1L,
         1,       26.8,           2L,
         2,       27.2,           3L,
         0,       58.4,           1L,
         1,       45.4,           2L,
         2,         47,           3L,
         0,       25.8,           1L,
         1,       54.9,           2L,
         2,       56.8,           3L,
         0,       41.1,           1L,
         1,       56.8,           2L,
         2,       32.8,           3L,
         0,       60.6,           1L,
         1,         80,           2L,
         2,       48.2,           3L,
         0,       27.8,           1L,
         1,        1.1,           2L,
         2,       58.9,           3L,
         0,       57.5,           1L,
         1,        7.8,           2L,
         2,       22.5,           3L,
         0,       36.9,           1L,
         1,       19.5,           2L,
         2,         40,           3L,
         1,       32.5,           2L,
         1,       43.5,           2L,
         1,       54.3,           2L,
         1,       12.6,           2L,
         1,       27.2,           2L,
         1,       47.1,           2L,
         1,       69.5,           2L,
         1,       21.6,           2L,
         1,       32.8,           2L,
         1,       43.3,           2L,
         1,       48.5,           2L,
         1,       56.5,           2L,
         1,       37.2,           2L,
         1,       45.7,           2L,
         1,       50.3,           2L,
         1,        1.5,           2L,
         1,       22.9,           2L,
         1,         52,           2L,
         1,        0.6,           2L,
         1,         19,           2L,
         1,       30.2,           2L,
         1,       43.9,           2L,
         1,       45.2,           2L,
         1,         53,           2L,
         1,        0.8,           2L,
         1,       23.4,           2L,
         1,       41.6,           2L,
         1,         55,           2L,
         1,        0.5,           2L,
         1,       12.6,           2L,
         1,       26.7,           2L,
         1,       40.8,           2L,
         1,       53.6,           2L,
         1,        0.7,           2L,
         1,       16.6,           2L,
         1,       33.5,           2L,
         1,       49.6,           2L,
         1,       59.4,           2L,
         1,       12.9,           2L,
         1,       23.3,           2L,
         1,         36,           2L,
         1,       40.9,           2L,
         1,       50.4,           2L,
         1,       53.6,           2L,
         1,        0.8,           2L,
         1,       19.9,           2L,
         1,       32.6,           2L,
         1,         62,           2L,
         1,        0.6,           2L,
         1,        8.7,           2L,
         1,       45.2,           2L,
         1,       56.6,           2L,
         1,        2.1,           2L
  )

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