update: separate environment for examples & example notebook updated

- skew
- pllld_count

examples/Project.toml

@@ -0,0 +1,7 @@
+[deps]
+CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
+CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+FHist = "68837c9b-b678-4cd5-9925-8a54edc8f695"
+PSBoardDataBase = "779f6a9c-59fa-41f1-8ed1-e9a91eccb2f5"
+Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"

examples/pllld_count.jl

@@ -1,5 +1,5 @@
 ### A Pluto.jl notebook ###
-# v0.20.3
+# v0.20.2
 
 using Markdown
 using InteractiveUtils
@@ -7,7 +7,7 @@ using InteractiveUtils
 # ╔═╡ 635dcf78-b6b3-11ef-3a04-f5b7c43ed12d
 begin
     using Pkg
-    Pkg.activate("..")
+    Pkg.activate(".")
 
     using PSBoardDataBase
     using SQLite

examples/skew_stats.jl

@@ -1,5 +1,5 @@
 ### A Pluto.jl notebook ###
-# v0.20.3
+# v0.20.2
 
 using Markdown
 using InteractiveUtils
@@ -7,7 +7,7 @@ using InteractiveUtils
 # ╔═╡ 7c69d12c-80a5-11ef-2674-e155a3483342
 begin
     using Pkg
-    Pkg.activate("..")
+    Pkg.activate(".")
     Pkg.status()
     true || include("../src/PSBoardDataBase.jl")
 end
@@ -102,7 +102,8 @@ clk_files =
     readdir("../test/input/slavelogs/main/", join = true) |>
     filter(endswith("_clk.txt")) |>
     filter(!contains("nagoya")) |>
-    filter(!contains("630_190"))
+    filter(!contains("630_190")) |>
+	filter(!contains("627_344"))
 
 # ╔═╡ 3e5607fd-2a8a-4a1a-9e7b-3f23ef216fad
 """
@@ -202,7 +203,7 @@ let
             title = "clock rise span distribution",
             xlabel = "rise up span / ns",
             ylabel = "counts",
-            limits = ((0, 0.18), (0, nothing)),
+            limits = ((0, 0.33), (0, nothing)),
             # xticks = (bins, string.(round.(bins, digits = 3))),
             # xticklabelrotation = π / 3,
         ),
@@ -560,7 +561,7 @@ md"""
 """
 
 # ╔═╡ 2a24c277-6679-49f3-b387-6937b7661a25
-invalid_measurements = [215, 291, 442, 460, 462, 545, 799, 802, 444, 255, 435]
+invalid_measurements = [215, 291, 442, 460, 462, 545, 799, 802, 444, 255, 435, 1213]
 
 # ╔═╡ 13b4112f-96ab-41a1-8ef1-d940771f6ece
 df_skews_selected_valids = let
@@ -571,6 +572,9 @@ end
 # ╔═╡ cf658de8-a4c5-413e-b5e3-56b77a80336f
 sort(df_skews_selected, :width)
 
+# ╔═╡ 7efd380b-a976-4a86-8dff-8afd551f03fb
+sort(df_skews_selected, :width, rev = true)
+
 # ╔═╡ 6a856a55-2611-41d0-a2c7-3645c066fc3c
 begin
     @assert all(!ismissing, df_skews_selected_valids.skew)
@@ -729,7 +733,7 @@ let
                 sqrt(count * (1000 - count) / 1000)
             end
             label, color = if psbid == psbid_width_max
-                "lomgest ($psbid)", (:red, 0.8)
+                "longest ($psbid)", (:red, 0.8)
             elseif psbid == psbid_width_min
                 "shortest ($psbid)", (:blue, 0.8)
             elseif psbid == psbid_width_typical
@@ -812,6 +816,7 @@ end
 # ╠═2a24c277-6679-49f3-b387-6937b7661a25
 # ╠═13b4112f-96ab-41a1-8ef1-d940771f6ece
 # ╠═cf658de8-a4c5-413e-b5e3-56b77a80336f
+# ╠═7efd380b-a976-4a86-8dff-8afd551f03fb
 # ╠═6a856a55-2611-41d0-a2c7-3645c066fc3c
 # ╠═4a4ef945-b312-44ed-ab62-ce01fc33f926
 # ╠═46b2a3cd-d2e6-4277-8b65-9c61f25f69e8