| \n", - " | uuid | \n", - "climb_name | \n", - "setter_username | \n", - "layout_id | \n", - "description | \n", - "is_nomatch | \n", - "is_listed | \n", - "layout_name | \n", - "board_name | \n", - "frames | \n", - "angle | \n", - "display_difficulty | \n", - "boulder_grade | \n", - "ascensionist_count | \n", - "quality_average | \n", - "fa_at | \n", - "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", - "0004edf6aeac9618d96a3b949cd9a724 | \n", - "Jumping Giraffe | \n", - "david.p.kunz | \n", - "9 | \n", - "\n", - " | 0 | \n", - "1 | \n", - "Original Layout | \n", - "Tension Board | \n", - "p42r1p71r4p76r1p89r2p91r3p104r2p111r2p232r2 | \n", - "40 | \n", - "24.0000 | \n", - "7b/V8 | \n", - "2 | \n", - "3.00000 | \n", - "2020-03-23 23:52:37 | \n", - "
| 1 | \n", - "00072fbd8c22711ef3532a5017c1a5c2 | \n", - "Albatross | \n", - "free.and.independent | \n", - "9 | \n", - "No Matching | \n", - "1 | \n", - "1 | \n", - "Original Layout | \n", - "Tension Board | \n", - "p31r2p49r2p52r2p53r2p87r3p92r1p99r2p118r2p120r... | \n", - "25 | \n", - "19.2500 | \n", - "6b+/V4 | \n", - "4 | \n", - "3.00000 | \n", - "2019-10-05 01:55:14 | \n", - "
| 2 | \n", - "0008d8af4649234054bea434aaeabaab | \n", - "crossup | \n", - "judemandudeman | \n", - "9 | \n", - "\n", - " | 0 | \n", - "1 | \n", - "Original Layout | \n", - "Tension Board | \n", - "p22r2p58r2p76r1p83r3p166r2p228r2p280r4 | \n", - "45 | \n", - "20.0000 | \n", - "6c/V5 | \n", - "2 | \n", - "2.00000 | \n", - "2018-01-30 03:18:13 | \n", - "
| 3 | \n", - "000eb831d3a1e92ea8fdec2518fd77d3 | \n", - "For the love of Tension | \n", - "willrossiter | \n", - "9 | \n", - "No matching | \n", - "1 | \n", - "1 | \n", - "Original Layout | \n", - "Tension Board | \n", - "p86r3p95r1p131r2p151r2p171r1p173r2p187r2p261r4... | \n", - "20 | \n", - "18.0000 | \n", - "6b/V4 | \n", - "1 | \n", - "3.00000 | \n", - "2019-03-15 15:46:06 | \n", - "
| 4 | \n", - "000eb831d3a1e92ea8fdec2518fd77d3 | \n", - "For the love of Tension | \n", - "willrossiter | \n", - "9 | \n", - "No matching | \n", - "1 | \n", - "1 | \n", - "Original Layout | \n", - "Tension Board | \n", - "p86r3p95r1p131r2p151r2p171r1p173r2p187r2p261r4... | \n", - "40 | \n", - "23.0000 | \n", - "7a+/V7 | \n", - "1 | \n", - "3.00000 | \n", - "2021-06-27 22:41:10 | \n", - "
| ... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "
| 147041 | \n", - "0B714869B80248D1B698E449EE885AB0 | \n", - "Loch Ness Monster | \n", - "bennykuttler1285 | \n", - "10 | \n", - "No matching | \n", - "1 | \n", - "1 | \n", - "Tension Board 2 Mirror | \n", - "Tension Board 2 | \n", - "p333r6p344r6p367r8p379r8p380r5p500r8p570r6p579... | \n", - "45 | \n", - "16.0000 | \n", - "6a/V3 | \n", - "3468 | \n", - "2.98991 | \n", - "2022-12-28 17:42:57 | \n", - "
| 147042 | \n", - "71C4F8D564D045EFA1C9F26BB949E040 | \n", - "$2 lap dance 💃🕺 | \n", - "nelldell | \n", - "10 | \n", - "No Match | \n", - "1 | \n", - "1 | \n", - "Tension Board 2 Mirror | \n", - "Tension Board 2 | \n", - "p311r6p320r5p366r8p372r7p445r5p462r6p468r8p570r6 | \n", - "40 | \n", - "20.0000 | \n", - "6c/V5 | \n", - "3388 | \n", - "2.98022 | \n", - "2022-12-07 00:30:56 | \n", - "
| 147043 | \n", - "B998C0712A2240E8AC858CB72E9115D5 | \n", - "Aftermath | \n", - "tensionclimbing | \n", - "10 | \n", - "\n", - " | 0 | \n", - "1 | \n", - "Tension Board 2 Mirror | \n", - "Tension Board 2 | \n", - "p350r8p370r8p464r6p569r5p589r7p685r5p718r6p767r8 | \n", - "40 | \n", - "23.0000 | \n", - "7a+/V7 | \n", - "3 | \n", - "3.00000 | \n", - "2023-07-04 20:16:10 | \n", - "
| 147044 | \n", - "C67E01D16E2940C2AFA76B436F9541D5 | \n", - "curly fries | \n", - "sidpintobean | \n", - "10 | \n", - "no matching | \n", - "1 | \n", - "1 | \n", - "Tension Board 2 Mirror | \n", - "Tension Board 2 | \n", - "p485r8p497r8p692r6p716r6p722r6p726r6p740r6p753... | \n", - "40 | \n", - "20.1111 | \n", - "6c/V5 | \n", - "18 | \n", - "2.88889 | \n", - "2024-03-22 19:39:34 | \n", - "
| 147045 | \n", - "397494C43D6A47A1BE9DB5FA7A9351A9 | \n", - "duck | \n", - "trevordoesinfactclimb | \n", - "10 | \n", - "No match | \n", - "1 | \n", - "1 | \n", - "Tension Board 2 Mirror | \n", - "Tension Board 2 | \n", - "p322r6p385r6p486r5p499r8p504r8p557r7p594r6 | \n", - "45 | \n", - "28.1000 | \n", - "8a/V11 | \n", - "10 | \n", - "3.00000 | \n", - "2025-01-16 17:54:22 | \n", - "
147046 rows × 16 columns
\n", - "" - ], - "text/plain": [ - " uuid climb_name \\\n", - "0 0004edf6aeac9618d96a3b949cd9a724 Jumping Giraffe \n", - "1 00072fbd8c22711ef3532a5017c1a5c2 Albatross \n", - "2 0008d8af4649234054bea434aaeabaab crossup \n", - "3 000eb831d3a1e92ea8fdec2518fd77d3 For the love of Tension \n", - "4 000eb831d3a1e92ea8fdec2518fd77d3 For the love of Tension \n", - "... ... ... \n", - "147041 0B714869B80248D1B698E449EE885AB0 Loch Ness Monster \n", - "147042 71C4F8D564D045EFA1C9F26BB949E040 $2 lap dance 💃🕺 \n", - "147043 B998C0712A2240E8AC858CB72E9115D5 Aftermath \n", - "147044 C67E01D16E2940C2AFA76B436F9541D5 curly fries \n", - "147045 397494C43D6A47A1BE9DB5FA7A9351A9 duck \n", - "\n", - " setter_username layout_id description is_nomatch is_listed \\\n", - "0 david.p.kunz 9 0 1 \n", - "1 free.and.independent 9 No Matching 1 1 \n", - "2 judemandudeman 9 0 1 \n", - "3 willrossiter 9 No matching 1 1 \n", - "4 willrossiter 9 No matching 1 1 \n", - "... ... ... ... ... ... \n", - "147041 bennykuttler1285 10 No matching 1 1 \n", - "147042 nelldell 10 No Match 1 1 \n", - "147043 tensionclimbing 10 0 1 \n", - "147044 sidpintobean 10 no matching 1 1 \n", - "147045 trevordoesinfactclimb 10 No match 1 1 \n", - "\n", - " layout_name board_name \\\n", - "0 Original Layout Tension Board \n", - "1 Original Layout Tension Board \n", - "2 Original Layout Tension Board \n", - "3 Original Layout Tension Board \n", - "4 Original Layout Tension Board \n", - "... ... ... \n", - "147041 Tension Board 2 Mirror Tension Board 2 \n", - "147042 Tension Board 2 Mirror Tension Board 2 \n", - "147043 Tension Board 2 Mirror Tension Board 2 \n", - "147044 Tension Board 2 Mirror Tension Board 2 \n", - "147045 Tension Board 2 Mirror Tension Board 2 \n", - "\n", - " frames angle \\\n", - "0 p42r1p71r4p76r1p89r2p91r3p104r2p111r2p232r2 40 \n", - "1 p31r2p49r2p52r2p53r2p87r3p92r1p99r2p118r2p120r... 25 \n", - "2 p22r2p58r2p76r1p83r3p166r2p228r2p280r4 45 \n", - "3 p86r3p95r1p131r2p151r2p171r1p173r2p187r2p261r4... 20 \n", - "4 p86r3p95r1p131r2p151r2p171r1p173r2p187r2p261r4... 40 \n", - "... ... ... \n", - "147041 p333r6p344r6p367r8p379r8p380r5p500r8p570r6p579... 45 \n", - "147042 p311r6p320r5p366r8p372r7p445r5p462r6p468r8p570r6 40 \n", - "147043 p350r8p370r8p464r6p569r5p589r7p685r5p718r6p767r8 40 \n", - "147044 p485r8p497r8p692r6p716r6p722r6p726r6p740r6p753... 40 \n", - "147045 p322r6p385r6p486r5p499r8p504r8p557r7p594r6 45 \n", - "\n", - " display_difficulty boulder_grade ascensionist_count quality_average \\\n", - "0 24.0000 7b/V8 2 3.00000 \n", - "1 19.2500 6b+/V4 4 3.00000 \n", - "2 20.0000 6c/V5 2 2.00000 \n", - "3 18.0000 6b/V4 1 3.00000 \n", - "4 23.0000 7a+/V7 1 3.00000 \n", - "... ... ... ... ... \n", - "147041 16.0000 6a/V3 3468 2.98991 \n", - "147042 20.0000 6c/V5 3388 2.98022 \n", - "147043 23.0000 7a+/V7 3 3.00000 \n", - "147044 20.1111 6c/V5 18 2.88889 \n", - "147045 28.1000 8a/V11 10 3.00000 \n", - "\n", - " fa_at \n", - "0 2020-03-23 23:52:37 \n", - "1 2019-10-05 01:55:14 \n", - "2 2018-01-30 03:18:13 \n", - "3 2019-03-15 15:46:06 \n", - "4 2021-06-27 22:41:10 \n", - "... ... \n", - "147041 2022-12-28 17:42:57 \n", - "147042 2022-12-07 00:30:56 \n", - "147043 2023-07-04 20:16:10 \n", - "147044 2024-03-22 19:39:34 \n", - "147045 2025-01-16 17:54:22 \n", - "\n", - "[147046 rows x 16 columns]" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "df" ] @@ -504,21 +163,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "3dff1bd7", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "| \n", - " | avg_ascensionists | \n", - "avg_difficulty | \n", - "count | \n", - "|||
|---|---|---|---|---|---|---|
| status | \n", - "Matched | \n", - "No Match | \n", - "Matched | \n", - "No Match | \n", - "Matched | \n", - "No Match | \n", - "
| layout_name | \n", - "\n", - " | \n", - " | \n", - " | \n", - " | \n", - " | \n", - " |
| All Layouts | \n", - "22.11 | \n", - "31.22 | \n", - "18.18 | \n", - "20.16 | \n", - "85202.0 | \n", - "61844.0 | \n", - "
| Original Layout | \n", - "22.27 | \n", - "21.46 | \n", - "17.36 | \n", - "19.62 | \n", - "49093.0 | \n", - "27163.0 | \n", - "
| Tension Board 2 Mirror | \n", - "19.97 | \n", - "44.92 | \n", - "19.21 | \n", - "20.52 | \n", - "21657.0 | \n", - "23329.0 | \n", - "
| Tension Board 2 Spray | \n", - "24.81 | \n", - "26.42 | \n", - "19.44 | \n", - "20.72 | \n", - "14452.0 | \n", - "11352.0 | \n", - "
| \n", - " | Name | \n", - "Angle | \n", - "Grade | \n", - "Ascensionists | \n", - "
|---|---|---|---|---|
| 1 | \n", - "Pre-game | \n", - "40° | \n", - "4a/V0 | \n", - "10378 | \n", - "
| 2 | \n", - "Laser Camera | \n", - "40° | \n", - "6a/V3 | \n", - "8457 | \n", - "
| 3 | \n", - "lefty loosy | \n", - "40° | \n", - "5a/V1 | \n", - "7248 | \n", - "
| 4 | \n", - "Riopio | \n", - "40° | \n", - "4a/V0 | \n", - "6961 | \n", - "
| 5 | \n", - "Sea Freight | \n", - "40° | \n", - "5c/V2 | \n", - "6953 | \n", - "
| 6 | \n", - "Pre-game | \n", - "30° | \n", - "4a/V0 | \n", - "6863 | \n", - "
| 7 | \n", - "Bubbles | \n", - "40° | \n", - "6b+/V4 | \n", - "6653 | \n", - "
| 8 | \n", - "Laser Camera | \n", - "30° | \n", - "5a/V1 | \n", - "6409 | \n", - "
| 9 | \n", - "Holler | \n", - "40° | \n", - "6a/V3 | \n", - "6288 | \n", - "
| 10 | \n", - "Jiggles | \n", - "40° | \n", - "6b/V4 | \n", - "5568 | \n", - "
| 11 | \n", - "Shimmy | \n", - "40° | \n", - "6c/V5 | \n", - "5489 | \n", - "
| 12 | \n", - "Bubbles | \n", - "30° | \n", - "6a/V3 | \n", - "5473 | \n", - "
| 13 | \n", - "Gunter | \n", - "40° | \n", - "4a/V0 | \n", - "5461 | \n", - "
| 14 | \n", - "It's Alive! | \n", - "30° | \n", - "5c/V2 | \n", - "5357 | \n", - "
| 15 | \n", - "It's Alive! | \n", - "40° | \n", - "5b/V1 | \n", - "5301 | \n", - "
| \n", - " | Name | \n", - "Angle | \n", - "Grade | \n", - "Ascensionists | \n", - "
|---|---|---|---|---|
| 1 | \n", - "Masquerade | \n", - "40° | \n", - "6a/V3 | \n", - "12123 | \n", - "
| 2 | \n", - "Drain from the Brain | \n", - "40° | \n", - "6c/V5 | \n", - "10242 | \n", - "
| 3 | \n", - "Compliments To The Climber | \n", - "40° | \n", - "6b/V4 | \n", - "10204 | \n", - "
| 4 | \n", - "Putty | \n", - "40° | \n", - "5c/V2 | \n", - "10162 | \n", - "
| 5 | \n", - "Propagation | \n", - "40° | \n", - "6b/V4 | \n", - "9640 | \n", - "
| 6 | \n", - "Thunderstruck | \n", - "40° | \n", - "6b/V4 | \n", - "9352 | \n", - "
| 7 | \n", - "All Plastic | \n", - "40° | \n", - "5a/V1 | \n", - "9052 | \n", - "
| 8 | \n", - "You Look Great Today | \n", - "40° | \n", - "6a/V3 | \n", - "8881 | \n", - "
| 9 | \n", - "love is an open door. | \n", - "40° | \n", - "6c/V5 | \n", - "8693 | \n", - "
| 10 | \n", - "Sherman | \n", - "40° | \n", - "6a/V3 | \n", - "8212 | \n", - "
| 11 | \n", - "hop scotch | \n", - "40° | \n", - "6b/V4 | \n", - "7936 | \n", - "
| 12 | \n", - "Dear John | \n", - "40° | \n", - "5c/V2 | \n", - "7821 | \n", - "
| 13 | \n", - "Dancing in the Moonlight | \n", - "40° | \n", - "6b/V4 | \n", - "7109 | \n", - "
| 14 | \n", - "Doomscroll | \n", - "40° | \n", - "4c/V0 | \n", - "7107 | \n", - "
| 15 | \n", - "Poseidon | \n", - "40° | \n", - "6c/V5 | \n", - "7078 | \n", - "
| \n", - " | Name | \n", - "Angle | \n", - "Grade | \n", - "Ascensionists | \n", - "
|---|---|---|---|---|
| 1 | \n", - "Pizza Box | \n", - "40° | \n", - "6a/V3 | \n", - "6649 | \n", - "
| 2 | \n", - "Aw, shoot | \n", - "40° | \n", - "6b/V4 | \n", - "5453 | \n", - "
| 3 | \n", - "Write This Way | \n", - "40° | \n", - "6a/V3 | \n", - "5145 | \n", - "
| 4 | \n", - "Shoulder Rust | \n", - "40° | \n", - "5a/V1 | \n", - "5018 | \n", - "
| 5 | \n", - "Nacho Mango | \n", - "40° | \n", - "5c/V2 | \n", - "4841 | \n", - "
| 6 | \n", - "Frictionless | \n", - "40° | \n", - "6c/V5 | \n", - "4536 | \n", - "
| 7 | \n", - "Put It Up | \n", - "40° | \n", - "6b/V4 | \n", - "4499 | \n", - "
| 8 | \n", - "Pour Cece | \n", - "40° | \n", - "6a/V3 | \n", - "4225 | \n", - "
| 9 | \n", - "Authorized | \n", - "40° | \n", - "6c/V5 | \n", - "4207 | \n", - "
| 10 | \n", - "It’s A Mid-West Alcohol | \n", - "40° | \n", - "6b/V4 | \n", - "4081 | \n", - "
| 11 | \n", - "Center Left | \n", - "40° | \n", - "6c/V5 | \n", - "4008 | \n", - "
| 12 | \n", - "Lost Glove | \n", - "40° | \n", - "6b/V4 | \n", - "3563 | \n", - "
| 13 | \n", - "Perfect Pizza Party | \n", - "40° | \n", - "6a/V3 | \n", - "3420 | \n", - "
| 14 | \n", - "Lightyears | \n", - "40° | \n", - "5c/V2 | \n", - "3379 | \n", - "
| 15 | \n", - "The Where | \n", - "40° | \n", - "6b/V4 | \n", - "3310 | \n", - "
| \n", - " | Name | \n", - "Total Ascensionists | \n", - "
|---|---|---|
| 1 | \n", - "Pre-game | \n", - "27468 | \n", - "
| 2 | \n", - "Laser Camera | \n", - "20968 | \n", - "
| 3 | \n", - "Bubbles | \n", - "16161 | \n", - "
| 4 | \n", - "Sea Freight | \n", - "15264 | \n", - "
| 5 | \n", - "Holler | \n", - "14275 | \n", - "
| 6 | \n", - "It's Alive! | \n", - "13545 | \n", - "
| 7 | \n", - "Dull Scissors | \n", - "11488 | \n", - "
| 8 | \n", - "lefty loosy | \n", - "11275 | \n", - "
| 9 | \n", - "Getting By | \n", - "11116 | \n", - "
| 10 | \n", - "Go Figure | \n", - "10483 | \n", - "
| 11 | \n", - "Intro To Power | \n", - "10377 | \n", - "
| 12 | \n", - "Switching Places | \n", - "9748 | \n", - "
| 13 | \n", - "Shimmy | \n", - "9427 | \n", - "
| 14 | \n", - "Foles Gold | \n", - "9339 | \n", - "
| 15 | \n", - "Big Pinch Pinchin' | \n", - "8823 | \n", - "
| \n", - " | Name | \n", - "Total Ascensionists | \n", - "
|---|---|---|
| 1 | \n", - "Masquerade | \n", - "19655 | \n", - "
| 2 | \n", - "Putty | \n", - "19445 | \n", - "
| 3 | \n", - "Compliments To The Climber | \n", - "16844 | \n", - "
| 4 | \n", - "Thunderstruck | \n", - "16121 | \n", - "
| 5 | \n", - "Further | \n", - "15981 | \n", - "
| 6 | \n", - "Propagation | \n", - "15606 | \n", - "
| 7 | \n", - "Poseidon | \n", - "15549 | \n", - "
| 8 | \n", - "All Plastic | \n", - "15135 | \n", - "
| 9 | \n", - "You Look Great Today | \n", - "14607 | \n", - "
| 10 | \n", - "Doomscroll | \n", - "14150 | \n", - "
| 11 | \n", - "Drain from the Brain | \n", - "12910 | \n", - "
| 12 | \n", - "Prime | \n", - "11384 | \n", - "
| 13 | \n", - "Endearing | \n", - "10946 | \n", - "
| 14 | \n", - "Dancing in the Moonlight | \n", - "10855 | \n", - "
| 15 | \n", - "Guided By Angels | \n", - "10757 | \n", - "
| \n", - " | Name | \n", - "Total Ascensionists | \n", - "
|---|---|---|
| 1 | \n", - "Pizza Box | \n", - "11884 | \n", - "
| 2 | \n", - "Nacho Mango | \n", - "10325 | \n", - "
| 3 | \n", - "Write This Way | \n", - "9299 | \n", - "
| 4 | \n", - "Shoulder Rust | \n", - "8749 | \n", - "
| 5 | \n", - "Marshmallow Dragon | \n", - "8001 | \n", - "
| 6 | \n", - "Authorized | \n", - "7387 | \n", - "
| 7 | \n", - "The Where | \n", - "7325 | \n", - "
| 8 | \n", - "Aw, shoot | \n", - "7006 | \n", - "
| 9 | \n", - "Perfect Pizza Party | \n", - "6575 | \n", - "
| 10 | \n", - "Frictionless | \n", - "6536 | \n", - "
| 11 | \n", - "New Gold | \n", - "6529 | \n", - "
| 12 | \n", - "Pour Cece | \n", - "6022 | \n", - "
| 13 | \n", - "Put It Up | \n", - "6012 | \n", - "
| 14 | \n", - "It’s A Mid-West Alcohol | \n", - "5863 | \n", - "
| 15 | \n", - "Bring The Ruckus | \n", - "5689 | \n", - "
| \n", - " | Username | \n", - "Climbs | \n", - "
|---|---|---|
| 1 | \n", - "adamf1234 | \n", - "466 | \n", - "
| 2 | \n", - "jonlackman | \n", - "383 | \n", - "
| 3 | \n", - "willanglin | \n", - "332 | \n", - "
| 4 | \n", - "kylejosephharding | \n", - "328 | \n", - "
| 5 | \n", - "str8_crimpin | \n", - "247 | \n", - "
| 6 | \n", - "tmon | \n", - "246 | \n", - "
| 7 | \n", - "gibbs | \n", - "240 | \n", - "
| 8 | \n", - "topoutclimbinggym | \n", - "229 | \n", - "
| 9 | \n", - "senderone | \n", - "227 | \n", - "
| 10 | \n", - "memphisben | \n", - "198 | \n", - "
| \n", - " | Username | \n", - "Climbs | \n", - "
|---|---|---|
| 1 | \n", - "tensionclimbing | \n", - "513 | \n", - "
| 2 | \n", - "SocksonBlocs | \n", - "372 | \n", - "
| 3 | \n", - "limberlimb | \n", - "353 | \n", - "
| 4 | \n", - "jaketiger111 | \n", - "320 | \n", - "
| 5 | \n", - "mo3_3az | \n", - "307 | \n", - "
| 6 | \n", - "lijahl | \n", - "306 | \n", - "
| 7 | \n", - "iansutherland | \n", - "218 | \n", - "
| 8 | \n", - "theruz | \n", - "203 | \n", - "
| 9 | \n", - "AlexK | \n", - "203 | \n", - "
| 10 | \n", - "nicholson.brendan | \n", - "174 | \n", - "
| \n", - " | Username | \n", - "Climbs | \n", - "
|---|---|---|
| 1 | \n", - "MaxClark | \n", - "246 | \n", - "
| 2 | \n", - "ianmek | \n", - "217 | \n", - "
| 3 | \n", - "tensionclimbing | \n", - "175 | \n", - "
| 4 | \n", - "Jeremy_Fullerton | \n", - "171 | \n", - "
| 5 | \n", - "danielwoodseyetattoo | \n", - "148 | \n", - "
| 6 | \n", - "Fatbeninco | \n", - "136 | \n", - "
| 7 | \n", - "rprops | \n", - "130 | \n", - "
| 8 | \n", - "SPIGGOTT | \n", - "125 | \n", - "
| 9 | \n", - "milo_forbes | \n", - "118 | \n", - "
| 10 | \n", - "cotton125 | \n", - "116 | \n", - "
| \n", - " | placement_id | \n", - "x | \n", - "y | \n", - "default_role_id | \n", - "set_id | \n", - "set_name | \n", - "
|---|---|---|---|---|---|---|
| 0 | \n", - "672 | \n", - "-64 | \n", - "4 | \n", - "8 | \n", - "13 | \n", - "Plastic | \n", - "
| 1 | \n", - "673 | \n", - "-64 | \n", - "20 | \n", - "8 | \n", - "13 | \n", - "Plastic | \n", - "
| 2 | \n", - "419 | \n", - "-64 | \n", - "28 | \n", - "5 | \n", - "12 | \n", - "Wood | \n", - "
| 3 | \n", - "420 | \n", - "-64 | \n", - "36 | \n", - "5 | \n", - "12 | \n", - "Wood | \n", - "
| 4 | \n", - "421 | \n", - "-64 | \n", - "44 | \n", - "5 | \n", - "12 | \n", - "Wood | \n", - "
| 5 | \n", - "422 | \n", - "-64 | \n", - "52 | \n", - "6 | \n", - "12 | \n", - "Wood | \n", - "
| 6 | \n", - "674 | \n", - "-64 | \n", - "60 | \n", - "6 | \n", - "13 | \n", - "Plastic | \n", - "
| 7 | \n", - "423 | \n", - "-64 | \n", - "68 | \n", - "6 | \n", - "12 | \n", - "Wood | \n", - "
| 8 | \n", - "424 | \n", - "-64 | \n", - "76 | \n", - "6 | \n", - "12 | \n", - "Wood | \n", - "
| 9 | \n", - "425 | \n", - "-64 | \n", - "84 | \n", - "6 | \n", - "12 | \n", - "Wood | \n", - "
| \n", - " | id | \n", - "product_id | \n", - "position | \n", - "name | \n", - "full_name | \n", - "led_color | \n", - "screen_color | \n", - "
|---|---|---|---|---|---|---|---|
| 0 | \n", - "1 | \n", - "4 | \n", - "1 | \n", - "start | \n", - "Start | \n", - "00FF00 | \n", - "00DD00 | \n", - "
| 1 | \n", - "2 | \n", - "4 | \n", - "2 | \n", - "middle | \n", - "Middle | \n", - "0000FF | \n", - "0066FF | \n", - "
| 2 | \n", - "3 | \n", - "4 | \n", - "3 | \n", - "finish | \n", - "Finish | \n", - "FF0000 | \n", - "FF0000 | \n", - "
| 3 | \n", - "4 | \n", - "4 | \n", - "4 | \n", - "foot | \n", - "Foot Only | \n", - "FF00FF | \n", - "FF00FF | \n", - "
| 4 | \n", - "5 | \n", - "5 | \n", - "1 | \n", - "start | \n", - "Start | \n", - "00FF00 | \n", - "00DD00 | \n", - "
| 5 | \n", - "6 | \n", - "5 | \n", - "2 | \n", - "middle | \n", - "Middle | \n", - "0000FF | \n", - "0066FF | \n", - "
| 6 | \n", - "7 | \n", - "5 | \n", - "3 | \n", - "finish | \n", - "Finish | \n", - "FF0000 | \n", - "FF0000 | \n", - "
| 7 | \n", - "8 | \n", - "5 | \n", - "4 | \n", - "foot | \n", - "Foot Only | \n", - "FF00FF | \n", - "FF00FF | \n", - "
| \n", - " | placement_id | \n", - "x | \n", - "y | \n", - "default_role_id | \n", - "set_id | \n", - "set_name | \n", - "default_role_type | \n", - "
|---|---|---|---|---|---|---|---|
| 0 | \n", - "672 | \n", - "-64 | \n", - "4 | \n", - "8 | \n", - "13 | \n", - "Plastic | \n", - "foot | \n", - "
| 1 | \n", - "673 | \n", - "-64 | \n", - "20 | \n", - "8 | \n", - "13 | \n", - "Plastic | \n", - "foot | \n", - "
| 2 | \n", - "419 | \n", - "-64 | \n", - "28 | \n", - "5 | \n", - "12 | \n", - "Wood | \n", - "hand | \n", - "
| 3 | \n", - "420 | \n", - "-64 | \n", - "36 | \n", - "5 | \n", - "12 | \n", - "Wood | \n", - "hand | \n", - "
| 4 | \n", - "421 | \n", - "-64 | \n", - "44 | \n", - "5 | \n", - "12 | \n", - "Wood | \n", - "hand | \n", - "
| ... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "
| 493 | \n", - "798 | \n", - "64 | \n", - "108 | \n", - "6 | \n", - "13 | \n", - "Plastic | \n", - "hand | \n", - "
| 494 | \n", - "545 | \n", - "64 | \n", - "116 | \n", - "6 | \n", - "12 | \n", - "Wood | \n", - "hand | \n", - "
| 495 | \n", - "799 | \n", - "64 | \n", - "124 | \n", - "6 | \n", - "13 | \n", - "Plastic | \n", - "hand | \n", - "
| 496 | \n", - "800 | \n", - "64 | \n", - "132 | \n", - "6 | \n", - "13 | \n", - "Plastic | \n", - "hand | \n", - "
| 497 | \n", - "801 | \n", - "64 | \n", - "140 | \n", - "7 | \n", - "13 | \n", - "Plastic | \n", - "hand | \n", - "
498 rows × 7 columns
\n", - "| \n", - " | placement_id | \n", - "role_id | \n", - "role_name | \n", - "role_kind | \n", - "led_color | \n", - "set_name | \n", - "(x,y) | \n", - "x | \n", - "y | \n", - "
|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", - "344 | \n", - "5 | \n", - "start | \n", - "hand | \n", - "#00FF00 | \n", - "Wood | \n", - "(-20, 64) | \n", - "-20 | \n", - "64 | \n", - "
| 1 | \n", - "348 | \n", - "8 | \n", - "foot | \n", - "foot | \n", - "#FF00FF | \n", - "Wood | \n", - "(-24, 4) | \n", - "-24 | \n", - "4 | \n", - "
| 2 | \n", - "352 | \n", - "5 | \n", - "start | \n", - "hand | \n", - "#00FF00 | \n", - "Wood | \n", - "(-24, 52) | \n", - "-24 | \n", - "52 | \n", - "
| 3 | \n", - "362 | \n", - "6 | \n", - "middle | \n", - "hand | \n", - "#0000FF | \n", - "Wood | \n", - "(-28, 96) | \n", - "-28 | \n", - "96 | \n", - "
| 4 | \n", - "366 | \n", - "8 | \n", - "foot | \n", - "foot | \n", - "#FF00FF | \n", - "Wood | \n", - "(-32, 20) | \n", - "-32 | \n", - "20 | \n", - "
| 5 | \n", - "367 | \n", - "8 | \n", - "foot | \n", - "foot | \n", - "#FF00FF | \n", - "Wood | \n", - "(-32, 28) | \n", - "-32 | \n", - "28 | \n", - "
| 6 | \n", - "369 | \n", - "6 | \n", - "middle | \n", - "hand | \n", - "#0000FF | \n", - "Wood | \n", - "(-32, 68) | \n", - "-32 | \n", - "68 | \n", - "
| 7 | \n", - "371 | \n", - "6 | \n", - "middle | \n", - "hand | \n", - "#0000FF | \n", - "Wood | \n", - "(-32, 108) | \n", - "-32 | \n", - "108 | \n", - "
| 8 | \n", - "372 | \n", - "7 | \n", - "finish | \n", - "hand | \n", - "#FF0000 | \n", - "Wood | \n", - "(-32, 116) | \n", - "-32 | \n", - "116 | \n", - "
| 9 | \n", - "379 | \n", - "8 | \n", - "foot | \n", - "foot | \n", - "#FF00FF | \n", - "Wood | \n", - "(-40, 4) | \n", - "-40 | \n", - "4 | \n", - "
| 10 | \n", - "382 | \n", - "6 | \n", - "middle | \n", - "hand | \n", - "#0000FF | \n", - "Wood | \n", - "(-40, 76) | \n", - "-40 | \n", - "76 | \n", - "
| 11 | \n", - "386 | \n", - "8 | \n", - "foot | \n", - "foot | \n", - "#FF00FF | \n", - "Wood | \n", - "(-44, 16) | \n", - "-44 | \n", - "16 | \n", - "
| 12 | \n", - "388 | \n", - "8 | \n", - "foot | \n", - "foot | \n", - "#FF00FF | \n", - "Wood | \n", - "(-44, 56) | \n", - "-44 | \n", - "56 | \n", - "
| 13 | \n", - "403 | \n", - "8 | \n", - "foot | \n", - "foot | \n", - "#FF00FF | \n", - "Wood | \n", - "(-52, 32) | \n", - "-52 | \n", - "32 | \n", - "
| 14 | \n", - "603 | \n", - "7 | \n", - "finish | \n", - "hand | \n", - "#FF0000 | \n", - "Plastic | \n", - "(-24, 116) | \n", - "-24 | \n", - "116 | \n", - "
| 15 | \n", - "615 | \n", - "6 | \n", - "middle | \n", - "hand | \n", - "#0000FF | \n", - "Plastic | \n", - "(-32, 76) | \n", - "-32 | \n", - "76 | \n", - "
| 16 | \n", - "617 | \n", - "6 | \n", - "middle | \n", - "hand | \n", - "#0000FF | \n", - "Plastic | \n", - "(-32, 92) | \n", - "-32 | \n", - "92 | \n", - "
_errors.png b/images/05_predictive_modelling/random_forest_(tuned)_errors.png
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diff --git a/images/05_predictive_modelling/random_forest_(tuned)_predictions.png b/images/05_predictive_modelling/random_forest_(tuned)_predictions.png
index 908b94f..cb8b088 100644
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diff --git a/images/05_predictive_modelling/random_forest_errors.png b/images/05_predictive_modelling/random_forest_errors.png
index a309c4a..794092c 100644
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diff --git a/images/05_predictive_modelling/random_forest_predictions.png b/images/05_predictive_modelling/random_forest_predictions.png
index 311ddde..d2fbe09 100644
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diff --git a/notebooks/01_data_overview_and_climbing_statistics.ipynb b/notebooks/01_data_overview_and_climbing_statistics.ipynb
index a46770e..b6063d2 100644
--- a/notebooks/01_data_overview_and_climbing_statistics.ipynb
+++ b/notebooks/01_data_overview_and_climbing_statistics.ipynb
@@ -45,7 +45,7 @@
},
{
){kind=link}