Measurements

Author:	Mitch Richling
Updated:	2022-12-02

1. Measured Perfs
2. Measured Paper Size

1. Measured Perfs

1.1. Data

Horiz	Vert	Note
11.5	11.3845
11.484	11.3915
11.473	11.4015
0.0	0.0
11.4855	11.3845
0.0	0.0
0.0	0.0
11.275	11.3885	Estimated
11.5	11.3845	Estimated
11.531	11.49
11.443	11.448
0.0	0.0
11.476	11.454
11.479	11.4155
11.3385	11.442
11.449	11.4385
11.4845	11.36
11.4885	11.432
11.4965	11.379
10.951	11.4205
10.9015	10.81
11.537	11.405
10.824	11.400333333333334
10.846	11.43
11.485	11.3635
11.4915	11.3325
11.488	11.3685
0.0	0.0
11.5665	11.3585	Estimated
0.0	0.0
11.481	11.418
0.0	0.0
11.457	11.386
11.44	11.4325
11.478	11.3755
11.4225	11.452
11.431	11.3915
10.8505	11.44575
11.5065	11.384
11.431	11.458
11.397	11.405
0.0	0.0
11.5055	11.3835
0.0	0.0
11.3575	11.4615	Estimated
0.0	0.0
11.4005	11.4415
11.484	11.369
11.5025	11.3575
11.4965	11.3765
11.52	11.3995
10.891	10.8195
11.092	11.6145	Estimated
10.8805	11.4525
11.4905	11.4325
11.558	11.506
11.0055	11.455
10.879	11.4455
11.4415	11.431
11.486	11.404
0.0	11.4125
0.0	11.474
11.4545	0.0
11.4905	0.0
0.0	0.0
0.0	0.0
11.431	11.459	Large Rough
11.491	11.3545	Imperforate at top
11.574	11.4	Imperforate at top
11.458	11.361
11.496666666666664	11.393333333333333
11.484333333333334	11.374333333333334
10.913	10.811333333333332
11.511333333333333	11.394666666666666
10.916	11.398
10.916	11.404
10.905333333333333	11.411
11.0	11.5
11.3635	0.0	Estimated
0.0	11.4075
0.0	11.362	Estimated
0.0	11.408	Estimated
0.0	11.366	Estimated
0.0	11.389	Estimated
0.0	11.4175	Estimated
0.0	0.0
0.0	0.0
0.0	0.0
0.0	0.0
11.416	11.4405
11.525	11.453
11.4955	11.4325
10.85	11.493
10.9085	11.3775
10.847	11.3975
11.042	11.5115
10.924	10.877
10.7985	10.856
10.847	10.889
10.8605	10.8985
11.4705	11.3835
11.4795	11.389
11.4785	11.342
11.432	11.428
11.4505	11.4135
11.481	11.4305
11.455	11.468
11.409	11.438500000000001
0.0	0.0
11.4295	11.395
11.4245	11.423	Large Rough
11.4465	11.407	Large Rough
11.5125	11.466
11.4125	11.4295
11.426	11.4315
10.952	10.8225
11.486	11.41
11.5445	11.4765
11.3875	11.4595
11.465	11.4845
10.899	10.846
10.872	10.805
11.508	11.453
10.861	10.877333333333333
11.494333333333332	11.377333333333333
10.915	11.38966666666666
10.91233333333333	11.382
10.877	11.3885
11.452333333333334	11.427
0.0	0.0
11.5075	11.3955
11.371	11.4085
11.531	11.4205
11.5335	11.41
11.508	11.373
11.5025	11.374
11.472	11.3885
11.4715	11.4345
11.395	11.4255
11.5445	11.401
11.524	11.4015

1.2. X-Y Plot

g <- ggplot(perfhv %>% filter(Horiz>0, Vert>0, Note==""),
            aes(x=Horiz, y=Vert)) +
  geom_point() + 
  scale_x_continuous(limits=c(10.75, 11.75), breaks=seq(10.75, 11.75, 1/4)) + 
  scale_y_continuous(limits=c(10.75, 11.75), breaks=seq(10.75, 11.75, 1/4)) +
  labs(title="Perforation Measurements", x="Horizontal", y="Vertical")
print(g);
ggsave("perfhv-xy.png", width=8, height=6, dpi=100, units='in', plot=g);
ggsave("perfhv-xy.pdf", width=8, height=6, dpi=600, units='in', plot=g);

1.3. Histogram

g <- ggplot(perfhv %>% 
              filter(Horiz>0, Vert>0) %>%
              tidyr::pivot_longer(cols=1:2, names_to='side', values_to='perfs'), 
            aes(x=perfs)) + 
  geom_histogram(col='black', bins=20)
print(g);
ggsave("perfhv-hist.png", width=8, height=6, dpi=100, units='in', plot=g);
ggsave("perfhv-hist.pdf", width=8, height=6, dpi=600, units='in', plot=g);

2. Measured Paper Size

In this section, "Paper Size" is the nearist distance between the edges of perforation holes from parallel rows of perforations.

2.1. Data

Horiz	Vert
26.057	29.107
25.464	29.658
25.421	29.192
25.061	29.128
25.633	28.429
24.913	28.980
25.061	29.446
26.173	29.203
25.146	28.938
25.294	29.573
25.379	29.467
25.146	29.023
26.184	29.139
25.231	29.552
25.019	29.594
25.442	29.616
25.019	29.277
25.252	29.594
25.993	29.001
25.527	29.213
25.993	28.599
25.072	28.726
25.760	29.361
26.269	29.128
25.803	29.277
26.332	29.086
25.845	29.192
25.209	29.277
26.290	29.319
25.760	29.256
26.057	29.785
25.273	29.065
25.760	29.510
25.633	29.319
24.764	29.001
25.697	29.658
25.644	29.489
25.294	29.319
25.845	28.980
25.464	29.277
25.379	29.319
25.739	29.150
25.252	29.107
25.485	29.594
25.760	29.489
25.961	30.251
25.951	29.298
25.898	29.298
25.834	30.061
25.167	29.361
25.760	29.340
26.163	29.256
25.675	29.065
25.548	28.895
25.061	28.260
25.569	28.895
24.913	30.188
25.442	29.340
25.506	29.065
24.267	29.700
25.103	29.393
25.379	28.980
25.845	29.404
24.447	29.128
25.231	29.425
25.209	28.959
25.760	29.404
26.057	29.489
25.442	29.383
26.057	28.758
25.231	29.340
25.633	29.404
25.421	29.139
25.760	29.107
25.082	29.107
25.834	29.436
25.908	29.361
25.612	29.828
25.294	29.256
25.781	30.145
25.591	29.743
25.379	29.086
25.908	28.917
25.887	28.747
25.527	29.467

2.2. X-Y Plot

g <- ggplot(papersize %>% filter(Horiz>0, Vert>0),
            aes(x=Horiz, y=Vert)) + 
  geom_hline(yintercept=30.75, col='darkgreen') +   
  geom_hline(yintercept=30.5, col='darkgreen') +   
  geom_vline(xintercept=26.5, col='darkgreen') +   
  geom_vline(xintercept=26.75, col='darkgreen') +   
  scale_x_continuous(breaks=seq(24, 31, 1/4)) + 
  scale_y_continuous(breaks=seq(28, 31, 1/4)) + 
  geom_point()
print(g)
ggsave("papersize-xy.png", width=8, height=6, dpi=100, units='in', plot=g);
ggsave("papersize-xy.pdf", width=8, height=6, dpi=600, units='in', plot=g);

2.3. Histogram

g <- ggplot(papersize %>% 
              tidyr::pivot_longer(cols=1:2, names_to='side', values_to='lengths'), 
            aes(x=lengths)) + 
  facet_wrap(~side, ncol=2,scales="free") +
  geom_histogram(col='black', bins=20)
print(g)
ggsave("papersize-hist.png", width=8, height=6, dpi=100, units='in', plot=g);
ggsave("papersize-hist.pdf", width=8, height=6, dpi=600, units='in', plot=g);

Measurements

Table of Contents

1. Measured Perfs

1.1. Data

1.2. X-Y Plot

1.3. Histogram

2. Measured Paper Size

2.1. Data

2.2. X-Y Plot

2.3. Histogram