diff --git a/data/tb2.db b/data/tb2.db new file mode 100644 index 0000000..8fc8783 Binary files /dev/null and b/data/tb2.db differ diff --git a/notebooks/01_data_overview_and_climbing_statistics.ipynb b/notebooks/01_data_overview_and_climbing_statistics.ipynb index f9de0ff..ef5b574 100644 --- a/notebooks/01_data_overview_and_climbing_statistics.ipynb +++ b/notebooks/01_data_overview_and_climbing_statistics.ipynb @@ -5,9 +5,20 @@ "id": "37e8cfe9", "metadata": {}, "source": [ + "# Tension Board 2: Climbing Statistics\n", "This data was downloaded using [Boardlib](https://github.com/lemeryfertitta/BoardLib). It was downloaded in March 2026, but (most of) the data was actually updated 2026-01-22 (as can be seen in the `kits` table of the database). As such, we only take data into account up to this date. Moreover, we only have data about the climbs, with no specific user data. That said, we can still use climb features like `ascensionist_count` and `fa_at` (the first ascent date for the climb) to understand climbing trends.\n", "\n", - "We've explored the database using SQL in [sql/01_data_exploration.sql](../sql/01_data_exploration.sql). We'll now use some of our findings to visualize some data and give some statistics. We'll begin by loading the necessary data. We will also include ways to do similary queries in SQL vs pandas (although, we still do our initial query in SQL); these can be found in [sql/02_alternative_queries.sql](../sql/02_alternative_queries.sql)." + "We've explored the database using SQL in [sql/01_data_exploration.sql](../sql/01_data_exploration.sql). We'll now use some of our findings to visualize some data and give some statistics. We'll begin by loading the necessary data. We will also include ways to do similary queries in SQL vs pandas (although, we still do our initial query in SQL); these can be found in [sql/02_alternative_queries.sql](../sql/02_alternative_queries.sql).\n", + "\n", + "\n", + "## Understanding the data\n", + "\n", + "## Notebook Structure\n", + "1. [Setup and Imports](#setup-and-imports)\n", + "2. [Popularity](#popularity)\n", + "3. [Climbing Statistics: Grades, Angles, Quality, and \"Match\" vs. \"No Match\"](#climbing-statistics-grades-angles-quality-and-matching)\n", + "4. [Prolific Statistics](#prolific-statistics)\n", + "5. [Conclusion](#conclusion)\n" ] }, { @@ -15,12 +26,12 @@ "id": "898cad20", "metadata": {}, "source": [ - "## Setup" + "## Setup and Imports" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 23, "id": "e48e2d25", "metadata": {}, "outputs": [], @@ -33,7 +44,10 @@ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import numpy as np\n", + "\n", "import matplotlib.patches as mpatches\n", + "import sqlite3\n", + "\n", "\n", "# Set some display options\n", "pd.set_option('display.max_columns', None)\n", @@ -49,12 +63,14 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "2e7b5862", "metadata": {}, "outputs": [], "source": [ - "# Query our data from the DB\n", + "### Query our data from the DB\n", + "\n", + "# Query climb data\n", "climbs_query = \"\"\"\n", "SELECT\n", " c.uuid,\n", @@ -648,7 +664,7 @@ "id": "9961e92e", "metadata": {}, "source": [ - "Interesting, Tuesday and Wednesday have the most sends." + "Interesting, Tuesday and Wednesday have the most traffic, while Monday is the least popular." ] }, { @@ -695,7 +711,7 @@ "| 32|8c/V15 |9b/5.15b |\n", "| 33|8c+/V16 |9b+/5.15c |\n", "\n", - "We will use the actual difficulty in our work, and then unpack translations into boulder_name and route_name." + "We will use the actual difficulty in our work, and then unpack translations into boulder_name." ] }, { @@ -1091,7 +1107,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1327,6 +1343,7 @@ "metadata": {}, "source": [ "So we gather the following about \"no match\" climbs:\n", + "\n", "- they are far fewer than \"match\" climbs,\n", "- they are on average hard than \"match\" climbs,\n", "- and that they tend to have a bit more ascensionists on the TB2, and less on the TB1 (although, much more overall)." @@ -2608,12 +2625,12 @@ "source": [ "## Prolific setters\n", "\n", - "Next, we will make a simple table of the most prolific settersby board." + "Next, we will make a simple table of the most prolific setters by board." ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 22, "id": "3053ddc3", "metadata": {}, "outputs": [ @@ -2647,8 +2664,8 @@ " \n", " \n", " \n", - " setter_username\n", - " climb_count\n", + " Username\n", + " Climbs\n", " \n", " \n", " \n", @@ -2707,17 +2724,17 @@ "" ], "text/plain": [ - " setter_username climb_count\n", - "1 adamf1234 420\n", - "2 jonlackman 383\n", - "3 willanglin 332\n", - "4 kylejosephharding 326\n", - "5 tmon 246\n", - "6 gibbs 240\n", - "7 str8_crimpin 238\n", - "8 senderone 223\n", - "9 topoutclimbinggym 216\n", - "10 memphisben 198" + " Username Climbs\n", + "1 adamf1234 420\n", + "2 jonlackman 383\n", + "3 willanglin 332\n", + "4 kylejosephharding 326\n", + "5 tmon 246\n", + "6 gibbs 240\n", + "7 str8_crimpin 238\n", + "8 senderone 223\n", + "9 topoutclimbinggym 216\n", + "10 memphisben 198" ] }, "metadata": {}, @@ -2753,8 +2770,8 @@ " \n", " \n", " \n", - " setter_username\n", - " climb_count\n", + " Username\n", + " Climbs\n", " \n", " \n", " \n", @@ -2813,17 +2830,17 @@ "" ], "text/plain": [ - " setter_username climb_count\n", - "1 tensionclimbing 506\n", - "2 SocksonBlocs 370\n", - "3 jaketiger111 315\n", - "4 mo3_3az 305\n", - "5 limberlimb 299\n", - "6 lijahl 261\n", - "7 iansutherland 215\n", - "8 theruz 202\n", - "9 AlexK 200\n", - "10 nicholson.brendan 174" + " Username Climbs\n", + "1 tensionclimbing 506\n", + "2 SocksonBlocs 370\n", + "3 jaketiger111 315\n", + "4 mo3_3az 305\n", + "5 limberlimb 299\n", + "6 lijahl 261\n", + "7 iansutherland 215\n", + "8 theruz 202\n", + "9 AlexK 200\n", + "10 nicholson.brendan 174" ] }, "metadata": {}, @@ -2859,8 +2876,8 @@ " \n", " \n", " \n", - " setter_username\n", - " climb_count\n", + " Username\n", + " Climbs\n", " \n", " \n", " \n", @@ -2919,17 +2936,17 @@ "" ], "text/plain": [ - " setter_username climb_count\n", - "1 MaxClark 239\n", - "2 ianmek 216\n", - "3 Jeremy_Fullerton 171\n", - "4 tensionclimbing 170\n", - "5 danielwoodseyetattoo 148\n", - "6 Fatbeninco 136\n", - "7 rprops 128\n", - "8 SPIGGOTT 119\n", - "9 cotton125 115\n", - "10 graydawgggg 107" + " Username Climbs\n", + "1 MaxClark 239\n", + "2 ianmek 216\n", + "3 Jeremy_Fullerton 171\n", + "4 tensionclimbing 170\n", + "5 danielwoodseyetattoo 148\n", + "6 Fatbeninco 136\n", + "7 rprops 128\n", + "8 SPIGGOTT 119\n", + "9 cotton125 115\n", + "10 graydawgggg 107" ] }, "metadata": {}, @@ -2950,12 +2967,15 @@ " df_layout = df_setters[df_setters['layout_name'] == layout]\n", " df_top = df_layout.sort_values(by='climb_count', ascending=False).head(10).reset_index(drop=True)\n", "\n", + " df_display = df_top[['setter_username', 'climb_count']].copy()\n", + " df_display.columns = ['Username', 'Climbs']\n", + "\n", " # Reset index to show rank\n", - " df_top.index = df_top.index + 1\n", + " df_display.index = df_display.index + 1\n", "\n", " # Display\n", " print(f\"\\n{layout}\\n\")\n", - " display(df_top[['setter_username', 'climb_count']])\n", + " display(df_display)\n", " \n" ] }, @@ -2964,7 +2984,15 @@ "id": "19dd4fad", "metadata": {}, "source": [ - "---\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "085c99ea", + "metadata": {}, + "source": [ + "\n", "# Conclusion\n", "\n", "With that, we will move on to analyzing specific holds on the boards. We will do this in [02_hold_analysis_and_board_heatmap.ipynb](02_hold_analysis_and_board_heatmap.ipynb)."