2.1 Non-interactive tables. Adding tab spanners.

plot Categorical Environment Diversity invasive rare tree_cover shrub_cover herb_cover ph ch h cr th trees shrubs semishrubs perennials biennials annuals x1_5 x5_10 x10_15 x15_20 x20_25 x25_30 x30_35 x_35 total_stems
com veg_type exp top elev slope s_ha s_m2 n2 e
see1379ne d f n_ne_nne convex 1379 18 13 2 3 0.5 0 0 95 4 4 4 0 9 0 0 3 1 0 9 0 0 27 71 72 45 28 16 5 0 264
sse1350se f f se_w convex 1350 16 20 2 4 0.5 1 0 80 0 12 6 0 14 0 0 2 4 0 14 0 0 107 167 104 79 36 9 3 4 509
e1209nnw e f een_nnw convex 1209 16 14 2 3 0.5 0 0 90 5 4 1 0 13 0 0 1 0 0 13 0 0 43 117 91 60 22 3 0 0 336
e1317n c f n_ne_nne flat 1317 28 40 4 14 0.6 1 0 70 1 4 7 0 29 4 0 4 3 0 32 0 1 62 65 42 25 20 9 7 4 234
see1601se d f se_w flat 1601 20 24 3 7 0.6 1 0 90 0 9 2 0 18 0 4 1 1 0 18 0 4 0 6 3 6 4 1 4 17 41
e1497ne c f n_ne_nne flat 1497 25 22 4 8 0.7 0 0 90 0 32 1 1 20 0 0 1 1 0 20 0 0 0 2 1 5 9 8 8 20 53
sse1574s d f s_sw_ssw flat 1574 25 13 1 3 0.5 1 0 90 0 4 1 0 12 0 0 1 0 0 11 0 1 4 56 59 57 36 24 6 9 251
sww1510w k s se_w concave 1510 13 69 15 41 0.8 6 1 0 23 82 9 1 55 0 4 2 8 1 53 2 3 NA NA NA NA NA NA NA NA NA
s1248e c f e_nw concave 1248 9 38 3 11 0.5 4 0 90 0 21 6 0 27 3 2 2 4 0 28 1 3 37 53 32 31 14 10 1 5 183
sw1288e b f e_nw concave 1288 24 20 2 3 0.4 2 0 85 1 0 7 0 13 0 0 2 5 0 13 0 0 26 31 20 33 27 19 6 5 167

2.1 Formatting currency.

plot com veg_type exp top elev slope s_ha s_m2 n2 e invasive rare tree_cover shrub_cover herb_cover ph ch h cr th trees shrubs semishrubs perennials biennials annuals x1_5 x5_10 x10_15 x15_20 x20_25 x25_30 x30_35 x_35 total_stems
se1204ne f f n_ne_nne concave 1204 18 42 0 7.000‌лв €0.400 0 0 80 3 0 11 0 31 0 0 4 7 0 29 1 1 91 127 77 27 17 10 8 6 363
e1301nnw b f een_nnw flat 1301 28 24 5 11.000‌лв €0.700 0 0 90 0 13 3 0 18 3 0 2 1 0 21 0 0 6 17 6 17 22 11 10 9 98
w2000w m s se_w flat 2000 17 38 12 22.000‌лв €0.800 1 2 0 0 81 3 5 30 0 0 0 8 1 28 0 1 NA NA NA NA NA NA NA NA NA
ssw1600ssw k s s_sw_ssw convex 1600 15 46 15 27.000‌лв €0.800 3 0 0 6 74 3 1 37 0 5 1 3 1 36 1 4 NA NA NA NA NA NA NA NA NA
se1900sw m s s_sw_ssw flat 1900 12 53 15 28.000‌лв €0.800 3 0 0 0 89 6 3 40 1 3 1 8 1 38 2 3 NA NA NA NA NA NA NA NA NA
sww1365s g f s_sw_ssw flat 1365 19 31 2 8.000‌лв €0.500 5 0 95 0 16 11 0 18 0 2 5 6 0 18 1 1 0 60 188 176 61 0 0 0 485
ssw1700s k s s_sw_ssw flat 1700 15 48 13 26.000‌лв €0.800 3 0 0 0 82 4 1 39 1 3 1 4 0 39 2 2 NA NA NA NA NA NA NA NA NA
e1701e c f e_nw concave 1701 19 33 7 13.000‌лв €0.700 1 0 85 0 22 4 0 26 3 0 3 1 0 29 0 0 0 6 12 11 13 19 7 18 86
se2105s m s s_sw_ssw concave 2105 8 36 12 19.000‌лв €0.800 0 0 0 0 74 5 4 25 0 2 1 8 0 25 0 2 NA NA NA NA NA NA NA NA NA
s1900ssw n s s_sw_ssw flat 1900 9 64 16 34.000‌лв €0.800 3 0 0 0 95 3 1 58 0 2 0 4 1 54 4 1 NA NA NA NA NA NA NA NA NA

2.2 Alining to the left and decreasing font size.

plot com veg_type exp top elev slope s_ha s_m2 n2 e invasive rare tree_cover shrub_cover herb_cover ph ch h cr th trees shrubs semishrubs perennials biennials annuals x1_5 x5_10 x10_15 x15_20 x20_25 x25_30 x30_35 x_35 total_stems
s1900ssw n s s_sw_ssw flat 1900 9 64 16 34 0.8 3 0 0 0 95 3 1 58 0 2 0 4 1 54 4 1 NA NA NA NA NA NA NA NA NA
sse1500w f f se_w flat 1500 17 37 3 12 0.6 2 0 65 8 23 10 0 23 1 3 5 5 0 24 0 3 34 86 142 94 38 11 0 0 405
w1055sw h f se_w flat 1055 22 51 6 21 0.7 4 0 70 5 9 19 1 31 0 0 10 10 0 30 1 0 22 20 21 65 77 12 12 0 229
e1317n c f n_ne_nne flat 1317 28 40 4 14 0.6 1 0 70 1 4 7 0 29 4 0 4 3 0 32 0 1 62 65 42 25 20 9 7 4 234
e1600e c f e_nw convex 1600 26 35 7 13 0.6 0 0 80 2 17 3 0 31 1 0 2 1 0 31 0 1 0 1 2 2 8 5 9 20 47
sww960nee h f een_nnw flat 960 15 60 9 28 0.7 8 0 60 4 16 22 0 36 0 2 8 14 0 34 1 3 37 19 12 12 74 55 22 5 236
sww1380nne e f n_ne_nne flat 1380 25 16 3 4 0.6 0 0 80 10 36 1 2 12 0 1 1 2 0 12 0 1 26 30 30 42 30 16 10 1 185
e1919e m s e_nw concave 1919 25 47 12 23 0.8 4 0 0 0 87 7 4 35 0 1 1 10 0 34 0 2 NA NA NA NA NA NA NA NA NA
s1800ssw j s s_sw_ssw flat 1800 16 55 15 31 0.8 1 1 0 0 86 2 1 47 1 4 0 3 0 46 2 4 NA NA NA NA NA NA NA NA NA
see1428sw g f s_sw_ssw flat 1428 22 42 9 22 0.8 6 0 80 4 33 9 0 29 0 4 3 6 0 27 1 5 44 10 10 17 25 28 33 7 174

2.3 Adding tab header and subtitle.

Vegetation data of Vitosha mountain
Most sampled variables on the south slope
plot com veg_type exp top elev slope s_ha s_m2 n2 e invasive rare tree_cover shrub_cover herb_cover ph ch h cr th trees shrubs semishrubs perennials biennials annuals
s1215ne e f n_ne_nne convex 1215 16 6 0 2 0.7 2 0 95 0 0 4 0 2 0 0 3 1 0 2 0 0
sww1380nne e f n_ne_nne flat 1380 25 16 3 4 0.6 0 0 80 10 36 1 2 12 0 1 1 2 0 12 0 1
ssw1163sww f f sse_wws flat 1163 14 43 10 19 0.7 4 0 35 73 20 7 0 32 0 4 4 3 0 32 0 4
see1489n d f n_ne_nne convex 1489 25 25 3 7 0.5 2 0 95 0 5 1 0 22 1 1 1 0 0 22 0 2
ssw1346ne e f n_ne_nne flat 1346 7 8 2 2 0.6 0 0 95 0 4 3 0 5 0 0 2 1 0 5 0 0
s1265e d f e_nw convex 1265 36 7 0 2 0.6 0 0 80 0 0 1 0 6 0 0 1 0 0 6 0 0
s1150e g f e_nw flat 1150 5 58 8 26 0.7 3 0 75 13 22 19 2 37 0 0 10 11 0 37 0 0
see1601se d f se_w flat 1601 20 24 3 7 0.6 1 0 90 0 9 2 0 18 0 4 1 1 0 18 0 4
sse1160ees f f ees_wwn concave 1160 10 43 9 20 0.7 3 0 90 2 13 12 0 30 1 0 7 5 0 31 0 0
sw1085nnw a f een_nnw convex 1085 36 42 2 9 0.4 0 0 85 3 1 13 0 23 6 0 4 9 0 28 1 0

2.4 Adding tab source note.

Vegetation data of Vitosha mountain
Most sampled variables on the south slope
plot com veg_type exp top elev slope s_ha s_m2 n2 e invasive rare tree_cover shrub_cover herb_cover ph ch h cr th trees shrubs semishrubs perennials biennials annuals
sw1130n a f n_ne_nne flat 1130 34 33 2 5 0.4 0 0 90 2 3 9 0 20 4 0 4 5 0 24 0 0
see1420e c f e_nw concave 1420 15 64 10 33 0.7 5 0 60 3 63 12 0 47 1 4 6 6 0 46 2 4
sww1140nne a f n_ne_nne flat 1140 32 40 6 18 0.8 2 0 95 0 16 11 0 24 4 1 7 4 0 27 0 2
sse1277sw f f s_sw_ssw flat 1277 15 22 2 3 0.4 2 0 90 3 4 7 0 15 0 0 2 5 0 15 0 0
se1411nee d f een_nnw convex 1411 25 28 4 8 0.5 1 0 80 1 5 2 0 25 1 0 1 1 0 25 0 1
w1035nne h f n_ne_nne flat 1035 7 76 6 31 0.7 12 0 65 11 5 20 1 52 0 3 12 9 0 50 3 2
sw1319n a f n_ne_nne concave 1319 27 30 2 5 0.4 0 0 90 0 6 5 0 20 4 1 2 3 0 24 0 1
s2000sw n s s_sw_ssw convex 2000 10 53 13 28 0.8 2 0 0 0 95 4 3 43 1 2 0 7 1 42 1 2
ssw1305nw b f e_nw flat 1305 29 17 1 3 0.5 1 0 85 1 2 2 0 14 0 1 2 0 0 14 0 1
sww1800nw l s e_nw flat 1800 15 52 18 33 0.8 4 0 0 3 81 5 4 39 0 4 1 8 1 36 2 4
Source: Dyakov, 2013

2.5 Summarizing selected columns.

plot com exp top elev slope s_ha s_m2 n2 e
f
ssw1163sww f sse_wws flat 1163 14 43 10 19 0.7
s1156ne b n_ne_nne flat 1156 14 26 2 3 0.4
sw1382nw d e_nw concave 1382 22 23 2 4 0.4
ssw1229nnw b een_nnw convex 1229 19 11 0 2 0.6
sw1318nw e e_nw convex 1318 26 16 1 3 0.5
e1105n c n_ne_nne convex 1105 25 66 5 15 0.5
se1411nee d een_nnw convex 1411 25 28 4 8 0.5
min — — — — 1105.00000 14.000000 11.000000 0.000000 2.000000 0.4000000
max — — — — 1411.00000 26.000000 66.000000 10.000000 19.000000 0.7000000
mean — — — — 1252.00000 20.714286 30.428571 3.428571 7.714286 0.5142857
median — — — — 1229.00000 22.000000 26.000000 2.000000 4.000000 0.5000000
s.d. — — — — 119.59097 5.154748 18.662414 3.359422 6.725927 0.1069045
s
s2000sw n s_sw_ssw convex 2000 10 53 13 28 0.8
s1900ssw n s_sw_ssw flat 1900 9 64 16 34 0.8
se1900sw m s_sw_ssw flat 1900 12 53 15 28 0.8
min — — — — 1900.00000 9.000000 53.000000 13.000000 28.000000 0.8000000
max — — — — 2000.00000 12.000000 64.000000 16.000000 34.000000 0.8000000
mean — — — — 1933.33333 10.333333 56.666667 14.666667 30.000000 0.8000000
median — — — — 1900.00000 10.000000 53.000000 15.000000 28.000000 0.8000000
s.d. — — — — 57.73503 1.527525 6.350853 1.527525 3.464102 0.0000000

2.6 Adding grand summary.

plot com exp top elev slope s_ha s_m2 n2 e
f
s1265e d e_nw convex 1265 36 7 0 2 0.6
sw1276nnw a een_nnw concave 1276 26 33 3 8 0.5
e1159nne c n_ne_nne flat 1159 21 21 2 6 0.6
w1035nne h n_ne_nne flat 1035 7 76 6 31 0.7
s1350nww e ees_wwn convex 1350 23 12 3 3 0.5
sww1365s g s_sw_ssw flat 1365 19 31 2 8 0.5
se1530e f e_nw flat 1530 26 43 8 23 0.8
sw1288e b e_nw concave 1288 24 20 2 3 0.4
sw1335nnw b een_nnw flat 1335 24 36 5 8 0.5
e1105n c n_ne_nne convex 1105 25 66 5 15 0.5
min — — — — 1035.0000 7.000000 7.00000 0.000000 2.000000 0.4000000
max — — — — 1530.0000 36.000000 76.00000 8.000000 31.000000 0.8000000
mean — — — — 1270.8000 23.100000 34.50000 3.600000 10.700000 0.5600000
median — — — — 1282.0000 24.000000 32.00000 3.000000 8.000000 0.5000000
s.d. — — — — 142.3609 7.218033 22.25733 2.366432 9.545796 0.1173788
min — — — — 1035.0000 7.000000 7.00000 0.000000 2.000000 0.4000000
max — — — — 1530.0000 36.000000 76.00000 8.000000 31.000000 0.8000000
mean — — — — 1270.8000 23.100000 34.50000 3.600000 10.700000 0.5600000
median — — — — 1282.0000 24.000000 32.00000 3.000000 8.000000 0.5000000
s.d. — — — — 142.3609 7.218033 22.25733 2.366432 9.545796 0.1173788

2.7 Adding colors to the summary and grand summary tables.

plot com exp top elev slope s_ha s_m2 n2 e
f
sww1039e i e_nw flat 1039 22 36 12 19 0.8
se1260ees g ees_wwn flat 1260 4 62 6 23 0.6
s1215ne e n_ne_nne convex 1215 16 6 0 2 0.7
ssw1163sww f sse_wws flat 1163 14 43 10 19 0.7
sww1380nne e n_ne_nne flat 1380 25 16 3 4 0.6
s1494nww d ees_wwn convex 1494 15 17 1 3 0.5
se1204ne f n_ne_nne concave 1204 18 42 0 7 0.4
see1249se g se_w flat 1249 3 49 8 24 0.7
min — — — — 1039.0000 3.000000 6.000000 0.000000 2.000000 0.40000000
max — — — — 1494.0000 25.000000 62.000000 12.000000 24.000000 0.80000000
mean — — — — 1250.5000 14.625000 33.875000 5.000000 12.625000 0.62500000
median — — — — 1232.0000 15.500000 39.000000 4.500000 13.000000 0.65000000
s.d. — — — — 137.3036 7.781618 19.104506 4.690416 9.485892 0.12817399
s
sse2000s n s_sw_ssw concave 2000 10 60 11 31 0.7
sww1510w k se_w concave 1510 13 69 15 41 0.8
min — — — — 1510.0000 10.000000 60.000000 11.000000 31.000000 0.70000000
max — — — — 2000.0000 13.000000 69.000000 15.000000 41.000000 0.80000000
mean — — — — 1755.0000 11.500000 64.500000 13.000000 36.000000 0.75000000
median — — — — 1755.0000 11.500000 64.500000 13.000000 36.000000 0.75000000
s.d. — — — — 346.4823 2.121320 6.363961 2.828427 7.071068 0.07071068
min — — — — 1039.000 3.000000 6.00000 0.000000 2.00000 0.4000000
max — — — — 2000.000 25.000000 69.00000 15.000000 41.00000 0.8000000
mean — — — — 1351.400 14.000000 40.00000 6.600000 17.30000 0.6500000
median — — — — 1254.500 14.500000 42.50000 7.000000 19.00000 0.7000000
s.d. — — — — 270.647 7.023769 21.33333 5.420127 13.14069 0.1269296