diff --git a/src/analysis-of-our-trello-board.ipynb b/src/analysis-of-our-trello-board.ipynb
index f5bcc74..717518a 100644
--- a/src/analysis-of-our-trello-board.ipynb
+++ b/src/analysis-of-our-trello-board.ipynb
@@ -9,6 +9,8 @@
"\n",
"* [Number of finished cards per month](#finished-cards-bar)\n",
"* [Rolling number of finished cards in last 30 days](#finished-cards-rolling)\n",
+ "* [Finished feature cards per month](#finished-feature-cards-per-month)\n",
+ "* [Rolling view: Finished feature cards in the last 30 days](#finished-cards-rolling-features)\n",
"* [Current cards in development](#development-cards)\n",
"* [Changelog](#changelog)\n",
"\n",
@@ -17,7 +19,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 2,
"id": "0fefe4ae",
"metadata": {},
"outputs": [
@@ -25,7 +27,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Time of last creation of this analysis: 2023-10-05 23:31:26.709002\n"
+ "Time of last creation of this analysis: 2023-10-06 00:11:10.939516\n"
]
}
],
@@ -49,7 +51,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 3,
"id": "71f6dc40",
"metadata": {},
"outputs": [],
@@ -78,7 +80,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 4,
"id": "9e4bfba3",
"metadata": {},
"outputs": [
@@ -86,7 +88,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Downloaded cards: 314\n"
+ "Downloaded cards: 318\n"
]
}
],
@@ -125,7 +127,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 5,
"id": "08e82934",
"metadata": {},
"outputs": [],
@@ -139,7 +141,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 6,
"id": "5de620f0",
"metadata": {},
"outputs": [],
@@ -162,7 +164,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 7,
"id": "e1e7ac0f",
"metadata": {},
"outputs": [
@@ -210,23 +212,23 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 8,
"id": "7ca3f8fd",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "{'63bc34d346143f025ffe3152': Timedelta('0 days 00:00:00'),\n",
+ "{'63bc34d346143f025ffe3152': Timedelta('0 days 00:00:20.845000'),\n",
" '6374b6c8d908a5001de2fa7b': Timedelta('0 days 00:00:00'),\n",
- " '6374b6c8d908a5001de2fa7c': Timedelta('0 days 23:34:11.026000'),\n",
- " '6374b70b76ae9a0265bb679b': Timedelta('0 days 00:00:59.195000'),\n",
- " '6374b723ad21d7062366f9b6': Timedelta('1 days 04:15:41.179000'),\n",
- " '641838c6ee62b9f7a7fa8ac2': Timedelta('5 days 20:16:56.555000'),\n",
- " '6374b72bcbb33c0681d4b99b': Timedelta('47 days 07:08:06.809060')}"
+ " '6374b6c8d908a5001de2fa7c': Timedelta('0 days 00:00:00'),\n",
+ " '6374b70b76ae9a0265bb679b': Timedelta('0 days 00:00:00'),\n",
+ " '6374b723ad21d7062366f9b6': Timedelta('0 days 00:00:00'),\n",
+ " '641838c6ee62b9f7a7fa8ac2': Timedelta('0 days 00:00:00'),\n",
+ " '6374b72bcbb33c0681d4b99b': Timedelta('65 days 10:13:54.944019')}"
]
},
- "execution_count": 6,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -261,17 +263,17 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 9,
"id": "79385bb8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "'2023-08-14T09:47:32.917Z'"
+ "'2023-08-01T11:58:49.621Z'"
]
},
- "execution_count": 7,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -287,14 +289,14 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 10,
"id": "7c75603a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
- "
Bug
- Entwicklung: 0 days, 0 hours, 0 minutes, 0 seconds
- Feedback / Blocked: 0 days, 0 hours, 0 minutes, 0 seconds
- Testen / PR Review: 0 days, 0 hours, 0 minutes, 0 seconds
- Enticklung + Testen: 0 days, 0 hours, 0 minutes, 0 seconds
- Gesamt: 0 days, 0 hours, 0 minutes, 0 seconds
"
+ "Bugs (03.05.2023)
- Entwicklung: 0 days, 0 hours, 0 minutes, 0 seconds
- Feedback / Blocked: 0 days, 0 hours, 0 minutes, 0 seconds
- Testen / PR Review: 0 days, 0 hours, 0 minutes, 0 seconds
- Enticklung + Testen: 0 days, 0 hours, 0 minutes, 0 seconds
- Gesamt: 0 days, 0 hours, 0 minutes, 0 seconds
"
],
"text/plain": [
""
@@ -359,7 +361,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 11,
"id": "138ca19c",
"metadata": {},
"outputs": [
@@ -367,7 +369,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Finished cards: 127\n"
+ "Finished cards: 129\n"
]
}
],
@@ -379,13 +381,13 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 12,
"id": "a2fc2dbf",
"metadata": {},
"outputs": [
{
"data": {
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\n",
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\n",
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