From df22b9c4199c1e1ffcd6d2635960166c22f6650a Mon Sep 17 00:00:00 2001 From: Jeremyaditya Date: Sun, 15 Nov 2020 17:37:30 +0700 Subject: [PATCH 1/2] Eksplorasi Data Jeremy Aditya --- takeMeOut.ipynb | 1780 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 1780 insertions(+) create mode 100644 takeMeOut.ipynb diff --git a/takeMeOut.ipynb b/takeMeOut.ipynb new file mode 100644 index 0000000..512ee18 --- /dev/null +++ b/takeMeOut.ipynb @@ -0,0 +1,1780 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "takeMeOut.ipynb", + "provenance": [], + "collapsed_sections": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "p3MLjSENLg__" + }, + "source": [ + "Tugas Developer Student Clubs\n", + "\n", + "* Nama : Jeremy Aditya\n", + "* NIM : 16520437\n", + "* Universitas : Institut Teknologi Bandung\n", + "* Mulai Pengerjaan : 14-11-2020\n", + "* Sumber : Take Me Out\n", + "\n" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "CBeRQVwSpN7d" + }, + "source": [ + "import pandas as pd\n", + "from sklearn.neighbors import NearestNeighbors\n", + "import pickle\n", + "import matplotlib.pyplot as plt\n" + ], + "execution_count": 110, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "zjhML6jOpX93" + }, + "source": [ + "#membaca data dari file.csv\n", + "df = pd.read_csv('/content/takemeout.csv')" + ], + "execution_count": 111, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "MNATtkz6phT0", + "outputId": "e6296bd4-5f2c-44d2-fe54-738c6801c757", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 788 + } + }, + "source": [ + "df" + ], + "execution_count": 112, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
TimestampSiapa nama kamu?Cewek atau cowok nih?Seberapa penting quality time bareng calon pacar untuk kamu?Seberapa penting physical touch sama calon pacar untuk kamu?Seberapa penting word of affirmation dari calon pacar untuk kamu?Seberapa penting dapet kado dari calon pacar untuk kamu?Seberapa penting bantuan dari calon pacar untuk kamu?
02020/10/31 3:39:25 PM GMT+7A**************Cowok55413
12020/10/31 3:39:36 PM GMT+7L****Cewek55322
22020/10/31 3:39:38 PM GMT+7Y***********Cowok43444
32020/10/31 3:39:42 PM GMT+7a***Cowok55523
42020/10/31 3:39:43 PM GMT+7B****Cowok55524
...........................
962020/10/31 3:42:57 PM GMT+7A********Cowok51423
972020/10/31 3:43:02 PM GMT+7K************Cewek45443
982020/10/31 3:43:04 PM GMT+7M*Cowok55554
992020/10/31 3:43:11 PM GMT+7K********************Cowok11111
1002020/10/31 3:43:22 PM GMT+7B***********Cowok55554
\n", + "

101 rows × 8 columns

\n", + "
" + ], + "text/plain": [ + " Timestamp ... Seberapa penting bantuan dari calon pacar untuk kamu?\n", + "0 2020/10/31 3:39:25 PM GMT+7 ... 3 \n", + "1 2020/10/31 3:39:36 PM GMT+7 ... 2 \n", + "2 2020/10/31 3:39:38 PM GMT+7 ... 4 \n", + "3 2020/10/31 3:39:42 PM GMT+7 ... 3 \n", + "4 2020/10/31 3:39:43 PM GMT+7 ... 4 \n", + ".. ... ... ... \n", + "96 2020/10/31 3:42:57 PM GMT+7 ... 3 \n", + "97 2020/10/31 3:43:02 PM GMT+7 ... 3 \n", + "98 2020/10/31 3:43:04 PM GMT+7 ... 4 \n", + "99 2020/10/31 3:43:11 PM GMT+7 ... 1 \n", + "100 2020/10/31 3:43:22 PM GMT+7 ... 4 \n", + "\n", + "[101 rows x 8 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 112 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "PKbPwitnMIZZ" + }, + "source": [ + "#Data Preparation" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "sVH0MX6HWtgB" + }, + "source": [ + "Membuang kolom waktu karena tidak relevan\n" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "PP0lDJArpnYc" + }, + "source": [ + "df = df.iloc[:,1:]" + ], + "execution_count": 113, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "oMbJXDe0WyGC" + }, + "source": [ + "Mengganti nama kolom" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "Tkw3wP4UpvMd" + }, + "source": [ + "df.columns = [\"Name\", 'Gender', 'Quality Time', 'Physical Touch', 'Affirmative Words', 'Gifts', 'Helps']" + ], + "execution_count": 114, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "3mkCsVe7qCuD", + "outputId": "ee888170-1af6-48d6-b1a0-898d8a1bf4bf", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 195 + } + }, + "source": [ + "df.head()" + ], + "execution_count": 115, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
NameGenderQuality TimePhysical TouchAffirmative WordsGiftsHelps
0A**************Cowok55413
1L****Cewek55322
2Y***********Cowok43444
3a***Cowok55523
4B****Cowok55524
\n", + "
" + ], + "text/plain": [ + " Name Gender Quality Time ... Affirmative Words Gifts Helps\n", + "0 A************** Cowok 5 ... 4 1 3\n", + "1 L**** Cewek 5 ... 3 2 2\n", + "2 Y*********** Cowok 4 ... 4 4 4\n", + "3 a*** Cowok 5 ... 5 2 3\n", + "4 B**** Cowok 5 ... 5 2 4\n", + "\n", + "[5 rows x 7 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 115 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "BHO5bRyxW3NB" + }, + "source": [ + "Mengganti nilai 'Cowok' menjadi 0 dan 'Cewek' menjadi 1 untuk mempermudah pengolahan data" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "tWHFXOkYqG-U" + }, + "source": [ + "df['Gender'] = df['Gender'].apply(lambda x:0 if x == 'Cowok' else 1 )" + ], + "execution_count": 116, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "xnopEwHjqLs7", + "outputId": "28bef5e5-5fcf-4014-f62b-30c5429d4f53", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 195 + } + }, + "source": [ + "df.head()" + ], + "execution_count": 117, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
NameGenderQuality TimePhysical TouchAffirmative WordsGiftsHelps
0A**************055413
1L****155322
2Y***********043444
3a***055523
4B****055524
\n", + "
" + ], + "text/plain": [ + " Name Gender Quality Time ... Affirmative Words Gifts Helps\n", + "0 A************** 0 5 ... 4 1 3\n", + "1 L**** 1 5 ... 3 2 2\n", + "2 Y*********** 0 4 ... 4 4 4\n", + "3 a*** 0 5 ... 5 2 3\n", + "4 B**** 0 5 ... 5 2 4\n", + "\n", + "[5 rows x 7 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 117 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4D0sAtVeWn9z" + }, + "source": [ + "Membagi data menjadi data pria dan data wanita" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "DIdUfGLfqNlE" + }, + "source": [ + "m_df = df[df['Gender'] == 0]\n", + "f_df = df[df['Gender'] == 1]" + ], + "execution_count": 118, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "AOim-oGBqi70", + "outputId": "c8f4b384-dde7-4573-f048-0bbe3b4c1a3a", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 402 + } + }, + "source": [ + "m_df" + ], + "execution_count": 119, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
NameGenderQuality TimePhysical TouchAffirmative WordsGiftsHelps
0A**************055413
2Y***********043444
3a***055523
4B****055524
5M*********055422
........................
95N****054445
96A********051423
98M*055554
99K********************011111
100B***********055554
\n", + "

81 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " Name Gender ... Gifts Helps\n", + "0 A************** 0 ... 1 3\n", + "2 Y*********** 0 ... 4 4\n", + "3 a*** 0 ... 2 3\n", + "4 B**** 0 ... 2 4\n", + "5 M********* 0 ... 2 2\n", + ".. ... ... ... ... ...\n", + "95 N**** 0 ... 4 5\n", + "96 A******** 0 ... 2 3\n", + "98 M* 0 ... 5 4\n", + "99 K******************** 0 ... 1 1\n", + "100 B*********** 0 ... 5 4\n", + "\n", + "[81 rows x 7 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 119 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "uEVjAKcTXB4j" + }, + "source": [ + "Membuang kolom nama dan gender" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "pjknB1LNqlSs" + }, + "source": [ + "m_x = m_df.drop(['Name', 'Gender'], axis=1)\n", + "f_x = f_df.drop(['Name', 'Gender'], axis=1)" + ], + "execution_count": 120, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "63GVrio6rAp2", + "outputId": "bedf51f2-a0fb-4ca0-d3b8-db265ed3515c", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 402 + } + }, + "source": [ + "m_x" + ], + "execution_count": 121, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Quality TimePhysical TouchAffirmative WordsGiftsHelps
055413
243444
355523
455524
555422
..................
9554445
9651423
9855554
9911111
10055554
\n", + "

81 rows × 5 columns

\n", + "
" + ], + "text/plain": [ + " Quality Time Physical Touch Affirmative Words Gifts Helps\n", + "0 5 5 4 1 3\n", + "2 4 3 4 4 4\n", + "3 5 5 5 2 3\n", + "4 5 5 5 2 4\n", + "5 5 5 4 2 2\n", + ".. ... ... ... ... ...\n", + "95 5 4 4 4 5\n", + "96 5 1 4 2 3\n", + "98 5 5 5 5 4\n", + "99 1 1 1 1 1\n", + "100 5 5 5 5 4\n", + "\n", + "[81 rows x 5 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 121 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "PUJoIXasrCL8", + "outputId": "2029b20e-9f10-4b8a-ae8a-b30ab919e382", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 639 + } + }, + "source": [ + "f_x" + ], + "execution_count": 122, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Quality TimePhysical TouchAffirmative WordsGiftsHelps
155322
1955555
2042313
2352454
2532315
2733333
3342225
4611111
4741315
4953445
5411111
6232234
6451535
6511113
7054555
7241324
7344435
7944532
9354544
9745443
\n", + "
" + ], + "text/plain": [ + " Quality Time Physical Touch Affirmative Words Gifts Helps\n", + "1 5 5 3 2 2\n", + "19 5 5 5 5 5\n", + "20 4 2 3 1 3\n", + "23 5 2 4 5 4\n", + "25 3 2 3 1 5\n", + "27 3 3 3 3 3\n", + "33 4 2 2 2 5\n", + "46 1 1 1 1 1\n", + "47 4 1 3 1 5\n", + "49 5 3 4 4 5\n", + "54 1 1 1 1 1\n", + "62 3 2 2 3 4\n", + "64 5 1 5 3 5\n", + "65 1 1 1 1 3\n", + "70 5 4 5 5 5\n", + "72 4 1 3 2 4\n", + "73 4 4 4 3 5\n", + "79 4 4 5 3 2\n", + "93 5 4 5 4 4\n", + "97 4 5 4 4 3" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 122 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ntsp2ws273w0" + }, + "source": [ + "#Model Development" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "UMAgKic-rEjs" + }, + "source": [ + "m_nbrs = NearestNeighbors(n_neighbors=5).fit(m_x)\n", + "f_nbrs = NearestNeighbors(n_neighbors=5).fit(f_x)" + ], + "execution_count": 123, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "FsUCfNdWXUPr" + }, + "source": [ + "Proses pengujian model\n" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "eRS0r0fmrdXE" + }, + "source": [ + "x = df.drop(['Name', 'Gender'], axis=1)" + ], + "execution_count": 124, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "3-0CNeXI9sWF", + "outputId": "d3d70852-f0e3-4573-bc0b-6db17b73e2ab", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 77 + } + }, + "source": [ + "df.sample()" + ], + "execution_count": 125, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
NameGenderQuality TimePhysical TouchAffirmative WordsGiftsHelps
28R****053323
\n", + "
" + ], + "text/plain": [ + " Name Gender Quality Time ... Affirmative Words Gifts Helps\n", + "28 R**** 0 5 ... 3 2 3\n", + "\n", + "[1 rows x 7 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 125 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "VtLJyclc9Mec" + }, + "source": [ + "test = x[df['Name'] == 'B***'].values" + ], + "execution_count": 126, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "8duWMHMj93gL" + }, + "source": [ + "_, idx = f_nbrs.kneighbors(test)" + ], + "execution_count": 127, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "XMTpn2JH-Hjl", + "outputId": "075be89a-0348-4096-adb8-f8ccfcdd53af", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "source": [ + "idx" + ], + "execution_count": 128, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "array([[ 3, 9, 14, 18, 12],\n", + " [ 7, 10, 5, 13, 0]])" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 128 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "v2ABsUWT-IS5", + "outputId": "31901b64-bc53-42c0-aa23-56e63277a835", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "source": [ + "f_df.iloc[idx[0]]['Name']" + ], + "execution_count": 129, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "23 B***\n", + "49 A*****\n", + "70 a******\n", + "93 F******\n", + "64 M*\n", + "Name: Name, dtype: object" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 129 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "qA0JjdwF-ZdG", + "outputId": "0964d824-4cd8-4f66-8559-36e90bee2315", + "colab": { + "base_uri": "https://localhost:8080/" + } + }, + "source": [ + "f_df.iloc[idx[1]]['Name']" + ], + "execution_count": 130, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "46 A********************\n", + "54 H****\n", + "27 v****\n", + "65 w****\n", + "1 L****\n", + "Name: Name, dtype: object" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 130 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "7j3-7k_W-wkF" + }, + "source": [ + "pickle.dump(m_nbrs,open('/content/m_model.pickle','wb'))\n", + "pickle.dump(f_nbrs,open('/content/f_model.pickle','wb'))" + ], + "execution_count": 131, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "iQzS3A4z_0fK" + }, + "source": [ + "df.to_csv('/content/data.csv', index=False)" + ], + "execution_count": 132, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NMl-tD7uNbal" + }, + "source": [ + "#Analisis Data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "eO1zrN_8XoY_" + }, + "source": [ + "Data Pria" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "s5TmMmC2NdTT", + "outputId": "d8ee687e-d2a6-4443-c8bf-c248453f16e8", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 548 + } + }, + "source": [ + "m_x.hist()\n", + "m_x.describe()" + ], + "execution_count": 133, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Quality TimePhysical TouchAffirmative WordsGiftsHelps
count81.00000081.00000081.00000081.00000081.000000
mean4.1851853.2962963.8271602.7407413.765432
std1.1630901.2692961.1488051.3017081.087102
min1.0000001.0000001.0000001.0000001.000000
25%4.0000003.0000003.0000002.0000003.000000
50%5.0000003.0000004.0000003.0000004.000000
75%5.0000004.0000005.0000004.0000005.000000
max5.0000005.0000005.0000005.0000005.000000
\n", + "
" + ], + "text/plain": [ + " Quality Time Physical Touch Affirmative Words Gifts Helps\n", + "count 81.000000 81.000000 81.000000 81.000000 81.000000\n", + "mean 4.185185 3.296296 3.827160 2.740741 3.765432\n", + "std 1.163090 1.269296 1.148805 1.301708 1.087102\n", + "min 1.000000 1.000000 1.000000 1.000000 1.000000\n", + "25% 4.000000 3.000000 3.000000 2.000000 3.000000\n", + "50% 5.000000 3.000000 4.000000 3.000000 4.000000\n", + "75% 5.000000 4.000000 5.000000 4.000000 5.000000\n", + "max 5.000000 5.000000 5.000000 5.000000 5.000000" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 133 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "PyrgXWgGXqlN" + }, + "source": [ + "Data Wanita" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "AxsWS4RyO-qT", + "outputId": "afcda28c-dfea-4e4a-bd36-cb9b4fa56840", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 548 + } + }, + "source": [ + "f_x.hist()\n", + "f_x.describe()" + ], + "execution_count": 134, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Quality TimePhysical TouchAffirmative WordsGiftsHelps
count20.00000020.00000020.00000020.00000020.000000
mean3.7500002.6500003.3000002.7000003.700000
std1.3717071.4964871.3803131.4545751.380313
min1.0000001.0000001.0000001.0000001.000000
25%3.0000001.0000002.7500001.0000003.000000
50%4.0000002.0000003.0000003.0000004.000000
75%5.0000004.0000004.2500004.0000005.000000
max5.0000005.0000005.0000005.0000005.000000
\n", + "
" + ], + "text/plain": [ + " Quality Time Physical Touch Affirmative Words Gifts Helps\n", + "count 20.000000 20.000000 20.000000 20.000000 20.000000\n", + "mean 3.750000 2.650000 3.300000 2.700000 3.700000\n", + "std 1.371707 1.496487 1.380313 1.454575 1.380313\n", + "min 1.000000 1.000000 1.000000 1.000000 1.000000\n", + "25% 3.000000 1.000000 2.750000 1.000000 3.000000\n", + "50% 4.000000 2.000000 3.000000 3.000000 4.000000\n", + "75% 5.000000 4.000000 4.250000 4.000000 5.000000\n", + "max 5.000000 5.000000 5.000000 5.000000 5.000000" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 134 + }, + { + "output_type": "display_data", + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "tags": [], + "needs_background": "light" + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "73Laa0oXPtDH" + }, + "source": [ + "Analisa\n", + "\n", + "Dari tabel diatas, dapat kita simpulkan bahwa dari 101 data, 81% adalah laki-laki dan 19% adalah perempuan. Lalu, secara rata-rata, pria lebih mementingkan quality time, physical touch, dan affirmative words daripada wanita. Secara garis besar, hasil yang di dapatkan dari wanita dan pria hampir sama. Perbedaan yang cukup mencolok terdapat di physical touch. Mayoritas wanita menaruh physical touch di point 1 yaitu tidak lah penting. Hal ini cukup berbeda dengan pria dimana mayoritas menganggap physical touch di point 3 yaitu biasa saja yang berarti secara umum, pria lebih menganggap physical touch sebagai hal yang penting dari pada wanita." + ] + } + ] +} \ No newline at end of file From 12d8abe276a2d6dc0ca19f8d6b76dd52d1e26ee9 Mon Sep 17 00:00:00 2001 From: Jeremyaditya Date: Sun, 15 Nov 2020 17:42:28 +0700 Subject: [PATCH 2/2] Eksplorasi Data Jeremy Aditya --- .../takeMeOut.ipynb | 0 .../takemeout.csv | 204 +++++++++--------- README.md | 1 - SpesifikasiTugas1DSC.txt | 20 -- 4 files changed, 102 insertions(+), 123 deletions(-) rename takeMeOut.ipynb => EksplorasiData_Jeremy Aditya/takeMeOut.ipynb (100%) rename takemeout.csv => EksplorasiData_Jeremy Aditya/takemeout.csv (98%) delete mode 100644 README.md delete mode 100644 SpesifikasiTugas1DSC.txt diff --git a/takeMeOut.ipynb b/EksplorasiData_Jeremy Aditya/takeMeOut.ipynb similarity index 100% rename from takeMeOut.ipynb rename to EksplorasiData_Jeremy Aditya/takeMeOut.ipynb diff --git a/takemeout.csv b/EksplorasiData_Jeremy Aditya/takemeout.csv similarity index 98% rename from takemeout.csv rename to EksplorasiData_Jeremy Aditya/takemeout.csv index cf476a7..df46942 100644 --- a/takemeout.csv +++ b/EksplorasiData_Jeremy Aditya/takemeout.csv @@ -1,102 +1,102 @@ -Timestamp,Siapa nama kamu?,Cewek atau cowok nih?,Seberapa penting quality time bareng calon pacar untuk kamu?,Seberapa penting physical touch sama calon pacar untuk kamu?,Seberapa penting word of affirmation dari calon pacar untuk kamu?,Seberapa penting dapet kado dari calon pacar untuk kamu?,Seberapa penting bantuan dari calon pacar untuk kamu? -2020/10/31 3:39:25 PM GMT+7,A**************,Cowok,5,5,4,1,3 -2020/10/31 3:39:36 PM GMT+7,L****,Cewek,5,5,3,2,2 -2020/10/31 3:39:38 PM GMT+7,Y***********,Cowok,4,3,4,4,4 -2020/10/31 3:39:42 PM GMT+7,a***,Cowok,5,5,5,2,3 -2020/10/31 3:39:43 PM GMT+7,B****,Cowok,5,5,5,2,4 -2020/10/31 3:39:44 PM GMT+7,M*********,Cowok,5,5,4,2,2 -2020/10/31 3:39:45 PM GMT+7,F***********************************,Cowok,4,2,5,3,4 -2020/10/31 3:39:47 PM GMT+7,F***,Cowok,3,3,4,2,4 -2020/10/31 3:39:50 PM GMT+7,R******************,Cowok,5,2,4,1,4 -2020/10/31 3:40:05 PM GMT+7,s******,Cowok,4,1,1,5,5 -2020/10/31 3:40:07 PM GMT+7,A,Cowok,5,4,5,2,3 -2020/10/31 3:40:08 PM GMT+7,R**,Cowok,3,4,3,3,5 -2020/10/31 3:40:12 PM GMT+7,D***,Cowok,5,4,3,3,4 -2020/10/31 3:40:14 PM GMT+7,F***,Cowok,1,3,5,1,5 -2020/10/31 3:40:20 PM GMT+7,P****,Cowok,4,3,4,5,5 -2020/10/31 3:40:21 PM GMT+7,A*,Cowok,4,3,5,4,4 -2020/10/31 3:40:22 PM GMT+7,M***********************,Cowok,1,1,1,1,1 -2020/10/31 3:40:25 PM GMT+7,J****************,Cowok,5,4,5,3,5 -2020/10/31 3:40:27 PM GMT+7,J***,Cowok,5,3,4,3,4 -2020/10/31 3:40:28 PM GMT+7,M**************,Cewek,5,5,5,5,5 -2020/10/31 3:40:31 PM GMT+7,F*************,Cewek,4,2,3,1,3 -2020/10/31 3:40:31 PM GMT+7,b***********,Cowok,5,4,3,2,3 -2020/10/31 3:40:31 PM GMT+7,u***,Cowok,5,3,3,5,5 -2020/10/31 3:40:34 PM GMT+7,B***,Cewek,5,2,4,5,4 -2020/10/31 3:40:35 PM GMT+7,h***,Cowok,5,4,4,4,3 -2020/10/31 3:40:36 PM GMT+7,E***,Cewek,3,2,3,1,5 -2020/10/31 3:40:36 PM GMT+7,q*,Cowok,5,5,5,5,5 -2020/10/31 3:40:37 PM GMT+7,v****,Cewek,3,3,3,3,3 -2020/10/31 3:40:40 PM GMT+7,R****,Cowok,5,3,3,2,3 -2020/10/31 3:40:41 PM GMT+7,D****,Cowok,4,5,4,2,4 -2020/10/31 3:40:42 PM GMT+7,A*************,Cowok,3,3,3,3,3 -2020/10/31 3:40:42 PM GMT+7,B**************,Cowok,3,2,4,1,5 -2020/10/31 3:40:42 PM GMT+7,S************,Cowok,2,2,2,1,1 -2020/10/31 3:40:43 PM GMT+7,H***,Cewek,4,2,2,2,5 -2020/10/31 3:40:43 PM GMT+7,J*****,Cowok,5,3,4,3,4 -2020/10/31 3:40:44 PM GMT+7,R****,Cowok,5,3,5,5,5 -2020/10/31 3:40:45 PM GMT+7,a******,Cowok,3,1,3,1,2 -2020/10/31 3:40:45 PM GMT+7,R******************,Cowok,5,3,3,1,5 -2020/10/31 3:40:47 PM GMT+7,:*,Cowok,5,2,2,2,2 -2020/10/31 3:40:49 PM GMT+7,L*********,Cowok,4,3,3,5,3 -2020/10/31 3:40:51 PM GMT+7,I***,Cowok,4,5,5,3,5 -2020/10/31 3:40:51 PM GMT+7,P******,Cowok,3,3,3,2,4 -2020/10/31 3:40:52 PM GMT+7,G**,Cowok,4,3,3,4,4 -2020/10/31 3:40:54 PM GMT+7,S**,Cowok,5,3,5,4,5 -2020/10/31 3:40:56 PM GMT+7,V***,Cowok,5,2,3,2,4 -2020/10/31 3:40:57 PM GMT+7,G************************,Cowok,5,5,5,5,5 -2020/10/31 3:40:58 PM GMT+7,A********************,Cewek,1,1,1,1,1 -2020/10/31 3:41:00 PM GMT+7,H***********,Cewek,4,1,3,1,5 -2020/10/31 3:41:02 PM GMT+7,R*************,Cowok,4,3,4,3,4 -2020/10/31 3:41:03 PM GMT+7,A*****,Cewek,5,3,4,4,5 -2020/10/31 3:41:04 PM GMT+7,I*,Cowok,3,1,1,1,4 -2020/10/31 3:41:05 PM GMT+7,i****,Cowok,5,1,5,1,3 -2020/10/31 3:41:06 PM GMT+7,C**********,Cowok,5,4,4,3,3 -2020/10/31 3:41:08 PM GMT+7,r******,Cowok,5,5,5,5,5 -2020/10/31 3:41:09 PM GMT+7,H****,Cewek,1,1,1,1,1 -2020/10/31 3:41:09 PM GMT+7,A*************,Cowok,4,4,5,3,5 -2020/10/31 3:41:09 PM GMT+7,K**********,Cowok,4,3,4,2,3 -2020/10/31 3:41:10 PM GMT+7,P********************,Cowok,3,3,3,3,3 -2020/10/31 3:41:11 PM GMT+7,T***************************,Cowok,5,3,4,3,5 -2020/10/31 3:41:11 PM GMT+7,A***************************,Cowok,1,1,2,1,4 -2020/10/31 3:41:12 PM GMT+7,M************,Cowok,5,3,4,2,4 -2020/10/31 3:41:12 PM GMT+7,a*****,Cowok,4,3,3,2,4 -2020/10/31 3:41:14 PM GMT+7,S,Cewek,3,2,2,3,4 -2020/10/31 3:41:14 PM GMT+7,A******,Cowok,5,4,4,4,3 -2020/10/31 3:41:15 PM GMT+7,M*,Cewek,5,1,5,3,5 -2020/10/31 3:41:16 PM GMT+7,w****,Cewek,1,1,1,1,3 -2020/10/31 3:41:19 PM GMT+7,a***,Cowok,4,3,5,3,4 -2020/10/31 3:41:20 PM GMT+7,L*******,Cowok,5,5,5,3,4 -2020/10/31 3:41:21 PM GMT+7,f*****,Cowok,5,5,5,3,4 -2020/10/31 3:41:22 PM GMT+7,N****,Cowok,5,4,4,3,4 -2020/10/31 3:41:22 PM GMT+7,a******,Cewek,5,4,5,5,5 -2020/10/31 3:41:23 PM GMT+7,A*************,Cowok,3,1,4,2,5 -2020/10/31 3:41:26 PM GMT+7,N*****,Cewek,4,1,3,2,4 -2020/10/31 3:41:28 PM GMT+7,R***,Cewek,4,4,4,3,5 -2020/10/31 3:41:28 PM GMT+7,R****,Cowok,4,3,5,4,4 -2020/10/31 3:41:28 PM GMT+7,A********,Cowok,5,5,5,5,5 -2020/10/31 3:41:29 PM GMT+7,m*,Cowok,1,1,1,1,1 -2020/10/31 3:41:34 PM GMT+7,g*****,Cowok,4,3,4,1,4 -2020/10/31 3:41:40 PM GMT+7,A********,Cowok,4,4,4,4,4 -2020/10/31 3:41:40 PM GMT+7,a********************************************************,Cewek,4,4,5,3,2 -2020/10/31 3:41:40 PM GMT+7,R****,Cowok,5,5,4,3,3 -2020/10/31 3:41:49 PM GMT+7,t*****,Cowok,5,2,4,3,4 -2020/10/31 3:41:52 PM GMT+7,d****,Cowok,5,5,5,1,5 -2020/10/31 3:41:59 PM GMT+7,j****,Cowok,4,3,3,2,3 -2020/10/31 3:42:02 PM GMT+7,W*,Cowok,5,3,4,3,3 -2020/10/31 3:42:04 PM GMT+7,a**,Cowok,4,3,3,3,4 -2020/10/31 3:42:05 PM GMT+7,I*********,Cowok,4,5,5,4,4 -2020/10/31 3:42:08 PM GMT+7,A**********,Cowok,5,3,4,3,5 -2020/10/31 3:42:16 PM GMT+7,u*********************,Cowok,5,5,5,3,3 -2020/10/31 3:42:21 PM GMT+7,D***,Cowok,5,3,4,2,3 -2020/10/31 3:42:22 PM GMT+7,a*************,Cowok,4,3,4,3,4 -2020/10/31 3:42:27 PM GMT+7,M**,Cowok,5,4,4,2,5 -2020/10/31 3:42:37 PM GMT+7,D********,Cowok,5,3,5,1,3 -2020/10/31 3:42:37 PM GMT+7,F******,Cewek,5,4,5,4,4 -2020/10/31 3:42:45 PM GMT+7,B***,Cowok,1,5,1,1,1 -2020/10/31 3:42:46 PM GMT+7,N****,Cowok,5,4,4,4,5 -2020/10/31 3:42:57 PM GMT+7,A********,Cowok,5,1,4,2,3 -2020/10/31 3:43:02 PM GMT+7,K************,Cewek,4,5,4,4,3 -2020/10/31 3:43:04 PM GMT+7,M*,Cowok,5,5,5,5,4 -2020/10/31 3:43:11 PM GMT+7,K********************,Cowok,1,1,1,1,1 -2020/10/31 3:43:22 PM GMT+7,B***********,Cowok,5,5,5,5,4 +Timestamp,Siapa nama kamu?,Cewek atau cowok nih?,Seberapa penting quality time bareng calon pacar untuk kamu?,Seberapa penting physical touch sama calon pacar untuk kamu?,Seberapa penting word of affirmation dari calon pacar untuk kamu?,Seberapa penting dapet kado dari calon pacar untuk kamu?,Seberapa penting bantuan dari calon pacar untuk kamu? +2020/10/31 3:39:25 PM GMT+7,A**************,Cowok,5,5,4,1,3 +2020/10/31 3:39:36 PM GMT+7,L****,Cewek,5,5,3,2,2 +2020/10/31 3:39:38 PM GMT+7,Y***********,Cowok,4,3,4,4,4 +2020/10/31 3:39:42 PM GMT+7,a***,Cowok,5,5,5,2,3 +2020/10/31 3:39:43 PM GMT+7,B****,Cowok,5,5,5,2,4 +2020/10/31 3:39:44 PM GMT+7,M*********,Cowok,5,5,4,2,2 +2020/10/31 3:39:45 PM GMT+7,F***********************************,Cowok,4,2,5,3,4 +2020/10/31 3:39:47 PM GMT+7,F***,Cowok,3,3,4,2,4 +2020/10/31 3:39:50 PM GMT+7,R******************,Cowok,5,2,4,1,4 +2020/10/31 3:40:05 PM GMT+7,s******,Cowok,4,1,1,5,5 +2020/10/31 3:40:07 PM GMT+7,A,Cowok,5,4,5,2,3 +2020/10/31 3:40:08 PM GMT+7,R**,Cowok,3,4,3,3,5 +2020/10/31 3:40:12 PM GMT+7,D***,Cowok,5,4,3,3,4 +2020/10/31 3:40:14 PM GMT+7,F***,Cowok,1,3,5,1,5 +2020/10/31 3:40:20 PM GMT+7,P****,Cowok,4,3,4,5,5 +2020/10/31 3:40:21 PM GMT+7,A*,Cowok,4,3,5,4,4 +2020/10/31 3:40:22 PM GMT+7,M***********************,Cowok,1,1,1,1,1 +2020/10/31 3:40:25 PM GMT+7,J****************,Cowok,5,4,5,3,5 +2020/10/31 3:40:27 PM GMT+7,J***,Cowok,5,3,4,3,4 +2020/10/31 3:40:28 PM GMT+7,M**************,Cewek,5,5,5,5,5 +2020/10/31 3:40:31 PM GMT+7,F*************,Cewek,4,2,3,1,3 +2020/10/31 3:40:31 PM GMT+7,b***********,Cowok,5,4,3,2,3 +2020/10/31 3:40:31 PM GMT+7,u***,Cowok,5,3,3,5,5 +2020/10/31 3:40:34 PM GMT+7,B***,Cewek,5,2,4,5,4 +2020/10/31 3:40:35 PM GMT+7,h***,Cowok,5,4,4,4,3 +2020/10/31 3:40:36 PM GMT+7,E***,Cewek,3,2,3,1,5 +2020/10/31 3:40:36 PM GMT+7,q*,Cowok,5,5,5,5,5 +2020/10/31 3:40:37 PM GMT+7,v****,Cewek,3,3,3,3,3 +2020/10/31 3:40:40 PM GMT+7,R****,Cowok,5,3,3,2,3 +2020/10/31 3:40:41 PM GMT+7,D****,Cowok,4,5,4,2,4 +2020/10/31 3:40:42 PM GMT+7,A*************,Cowok,3,3,3,3,3 +2020/10/31 3:40:42 PM GMT+7,B**************,Cowok,3,2,4,1,5 +2020/10/31 3:40:42 PM GMT+7,S************,Cowok,2,2,2,1,1 +2020/10/31 3:40:43 PM GMT+7,H***,Cewek,4,2,2,2,5 +2020/10/31 3:40:43 PM GMT+7,J*****,Cowok,5,3,4,3,4 +2020/10/31 3:40:44 PM GMT+7,R****,Cowok,5,3,5,5,5 +2020/10/31 3:40:45 PM GMT+7,a******,Cowok,3,1,3,1,2 +2020/10/31 3:40:45 PM GMT+7,R******************,Cowok,5,3,3,1,5 +2020/10/31 3:40:47 PM GMT+7,:*,Cowok,5,2,2,2,2 +2020/10/31 3:40:49 PM GMT+7,L*********,Cowok,4,3,3,5,3 +2020/10/31 3:40:51 PM GMT+7,I***,Cowok,4,5,5,3,5 +2020/10/31 3:40:51 PM GMT+7,P******,Cowok,3,3,3,2,4 +2020/10/31 3:40:52 PM GMT+7,G**,Cowok,4,3,3,4,4 +2020/10/31 3:40:54 PM GMT+7,S**,Cowok,5,3,5,4,5 +2020/10/31 3:40:56 PM GMT+7,V***,Cowok,5,2,3,2,4 +2020/10/31 3:40:57 PM GMT+7,G************************,Cowok,5,5,5,5,5 +2020/10/31 3:40:58 PM GMT+7,A********************,Cewek,1,1,1,1,1 +2020/10/31 3:41:00 PM GMT+7,H***********,Cewek,4,1,3,1,5 +2020/10/31 3:41:02 PM GMT+7,R*************,Cowok,4,3,4,3,4 +2020/10/31 3:41:03 PM GMT+7,A*****,Cewek,5,3,4,4,5 +2020/10/31 3:41:04 PM GMT+7,I*,Cowok,3,1,1,1,4 +2020/10/31 3:41:05 PM GMT+7,i****,Cowok,5,1,5,1,3 +2020/10/31 3:41:06 PM GMT+7,C**********,Cowok,5,4,4,3,3 +2020/10/31 3:41:08 PM GMT+7,r******,Cowok,5,5,5,5,5 +2020/10/31 3:41:09 PM GMT+7,H****,Cewek,1,1,1,1,1 +2020/10/31 3:41:09 PM GMT+7,A*************,Cowok,4,4,5,3,5 +2020/10/31 3:41:09 PM GMT+7,K**********,Cowok,4,3,4,2,3 +2020/10/31 3:41:10 PM GMT+7,P********************,Cowok,3,3,3,3,3 +2020/10/31 3:41:11 PM GMT+7,T***************************,Cowok,5,3,4,3,5 +2020/10/31 3:41:11 PM GMT+7,A***************************,Cowok,1,1,2,1,4 +2020/10/31 3:41:12 PM GMT+7,M************,Cowok,5,3,4,2,4 +2020/10/31 3:41:12 PM GMT+7,a*****,Cowok,4,3,3,2,4 +2020/10/31 3:41:14 PM GMT+7,S,Cewek,3,2,2,3,4 +2020/10/31 3:41:14 PM GMT+7,A******,Cowok,5,4,4,4,3 +2020/10/31 3:41:15 PM GMT+7,M*,Cewek,5,1,5,3,5 +2020/10/31 3:41:16 PM GMT+7,w****,Cewek,1,1,1,1,3 +2020/10/31 3:41:19 PM GMT+7,a***,Cowok,4,3,5,3,4 +2020/10/31 3:41:20 PM GMT+7,L*******,Cowok,5,5,5,3,4 +2020/10/31 3:41:21 PM GMT+7,f*****,Cowok,5,5,5,3,4 +2020/10/31 3:41:22 PM GMT+7,N****,Cowok,5,4,4,3,4 +2020/10/31 3:41:22 PM GMT+7,a******,Cewek,5,4,5,5,5 +2020/10/31 3:41:23 PM GMT+7,A*************,Cowok,3,1,4,2,5 +2020/10/31 3:41:26 PM GMT+7,N*****,Cewek,4,1,3,2,4 +2020/10/31 3:41:28 PM GMT+7,R***,Cewek,4,4,4,3,5 +2020/10/31 3:41:28 PM GMT+7,R****,Cowok,4,3,5,4,4 +2020/10/31 3:41:28 PM GMT+7,A********,Cowok,5,5,5,5,5 +2020/10/31 3:41:29 PM GMT+7,m*,Cowok,1,1,1,1,1 +2020/10/31 3:41:34 PM GMT+7,g*****,Cowok,4,3,4,1,4 +2020/10/31 3:41:40 PM GMT+7,A********,Cowok,4,4,4,4,4 +2020/10/31 3:41:40 PM GMT+7,a********************************************************,Cewek,4,4,5,3,2 +2020/10/31 3:41:40 PM GMT+7,R****,Cowok,5,5,4,3,3 +2020/10/31 3:41:49 PM GMT+7,t*****,Cowok,5,2,4,3,4 +2020/10/31 3:41:52 PM GMT+7,d****,Cowok,5,5,5,1,5 +2020/10/31 3:41:59 PM GMT+7,j****,Cowok,4,3,3,2,3 +2020/10/31 3:42:02 PM GMT+7,W*,Cowok,5,3,4,3,3 +2020/10/31 3:42:04 PM GMT+7,a**,Cowok,4,3,3,3,4 +2020/10/31 3:42:05 PM GMT+7,I*********,Cowok,4,5,5,4,4 +2020/10/31 3:42:08 PM GMT+7,A**********,Cowok,5,3,4,3,5 +2020/10/31 3:42:16 PM GMT+7,u*********************,Cowok,5,5,5,3,3 +2020/10/31 3:42:21 PM GMT+7,D***,Cowok,5,3,4,2,3 +2020/10/31 3:42:22 PM GMT+7,a*************,Cowok,4,3,4,3,4 +2020/10/31 3:42:27 PM GMT+7,M**,Cowok,5,4,4,2,5 +2020/10/31 3:42:37 PM GMT+7,D********,Cowok,5,3,5,1,3 +2020/10/31 3:42:37 PM GMT+7,F******,Cewek,5,4,5,4,4 +2020/10/31 3:42:45 PM GMT+7,B***,Cowok,1,5,1,1,1 +2020/10/31 3:42:46 PM GMT+7,N****,Cowok,5,4,4,4,5 +2020/10/31 3:42:57 PM GMT+7,A********,Cowok,5,1,4,2,3 +2020/10/31 3:43:02 PM GMT+7,K************,Cewek,4,5,4,4,3 +2020/10/31 3:43:04 PM GMT+7,M*,Cowok,5,5,5,5,4 +2020/10/31 3:43:11 PM GMT+7,K********************,Cowok,1,1,1,1,1 +2020/10/31 3:43:22 PM GMT+7,B***********,Cowok,5,5,5,5,4 diff --git a/README.md b/README.md deleted file mode 100644 index 9c93eb4..0000000 --- a/README.md +++ /dev/null @@ -1 +0,0 @@ -# DSCDataScience \ No newline at end of file diff --git a/SpesifikasiTugas1DSC.txt b/SpesifikasiTugas1DSC.txt deleted file mode 100644 index df2c69a..0000000 --- a/SpesifikasiTugas1DSC.txt +++ /dev/null @@ -1,20 +0,0 @@ -Tugas membuat analisis Data menggunakan Jupyter Notebook (Python) - -Spesifikasi tugas: -1. Program memaparkan analisis data berupa tabel atau grafik, dan penjelasan lisan dari dataset terkait. -2. Dataset yang akan digunakan untuk analisis dibebaskan. Jika menggunakan dataset dari sumber lain, cantumkan juga sumber dataset tersebut. -3. Dataset harus dibersihkan terlebih dahulu sebelum melakukan analisis. Beri penjelasan lisan mengenai analisis yang dilakukan menggunakan markdown. -4. Notebook tersebut harus memuat: - a. Nama lengkap, NIM, dan asal universitas - b. Tanggal mulai pengerjaan tugas - c. Sumber dataset (jika menggunakan dataset TakeMeOut, maka tulis saja TakeMeOut) - d. Tahapan analisis data misalnya "Data Observation", kemudian "Data Cleaning", dst - e. Statistik dasar data (min, max, avg, dst) dan analisis dasar dari Youtube https://youtu.be/8J1tGYEvf68 - f. Insight baru mengenai data tersebut berdasarkan eksplorasi sendiri (tidak ada format, dibebaskan) minimal 2. Ini misalnya "A memiliki korelasi positif dengan B", dst -5. Penggunaan library dibebaskan. - -Prosedur pengerjaan: -1. Tugas dikerjakan secara individu -2. Tugas ini dikumpulkan paling lambat hari sabtu 15 November 2020 pukul 23.59 WIB dengan mengajukan pull request pada repo github DSC https://github.com/gdscitb/DSCDataScience -3. File submisi berisikan 1 notebook .ipynb dan 1 file dataset .csv yang terpakai -3. Dilarang keras menyalin program dari sumber lain (buku, internet, program kakak tingkat, program kelompok lain) \ No newline at end of file