{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# \"Data Analysis: Developer 101 | A Step Forward with Flutter\"\n", "> \"A Crisp analysis over available data from students registrations and attendees information from GoToMeeting\"\n", "\n", "- toc: true \n", "- badges: true\n", "- comments: true\n", "- categories: [EDA]\n", "- comments: true\n", "- author: Teja Kummarikuntla" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Developer 101 | A Step Forward with Flutter\n", "The following notebook is an analysis of an online webinar organised by [Sathyabama Coding Club](https://sites.google.com/view/sathyabamacodingclub)\n", "- The data used here is private" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import warnings\n", "warnings.filterwarnings(\"ignore\")\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "reg_data = pd.read_excel(\"Developer 101 _ A step Forward with Flutter (Responses) (1).xlsx\")\n", "ui_data = pd.read_excel(\"Developer 101 _ A Step Forward with Flutter Attendees_Cleanded_data.xls\")" ] }, { "cell_type": "code", "execution_count": 87, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Session Duration in Minutes: 125\n" ] } ], "source": [ "SESSION_DURATION = ui_data['Time in Session (minutes)'].max()\n", "print(\"Session Duration in Minutes: \", SESSION_DURATION)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analysis on Registration Data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Univariate Analysis" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "No of Registrations : 73\n" ] } ], "source": [ "no_of_regs = len(reg_data)\n", "REG_COUNT = no_of_regs\n", "print(\"No of Registrations : \", REG_COUNT)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Observation:\n", "No of registrations: **73**" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2022 27\n", "2021 22\n", "2023 13\n", "Professional 11\n", "Name: Batch, dtype: int64" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "reg_data.Batch.value_counts()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Barplot on Academic year participation')" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.countplot(x=\"Batch\", data=reg_data)\n", "plt.title(\"Barplot on Academic year participation\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Observation\n", "Students from 2022 are higher than 2021 and 2023\n", " - 2022 >> 2021 >> 2023 > Professional " ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Barplot over the background of participants in web/mobile app devlopment')" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.countplot(x=\"Have you ever built a web/mobile application?\", data=reg_data)\n", "plt.title(\"Barplot over the background of participants in web/mobile app devlopment\")" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The percentage of people joined the webinar who has prior exprience on Web/Android Dev : 31.506849315068493\n", "The percentage of people joined the webinar who has no prior exprience on Web/Android Dev : 68.4931506849315\n" ] } ], "source": [ "web_mob_yes = reg_data[\"Have you ever built a web/mobile application?\"].value_counts()[1]\n", "web_mob_no = reg_data[\"Have you ever built a web/mobile application?\"].value_counts()[0]\n", "print(\"The percentage of people joined the webinar who has prior exprience on Web/Android Dev :\", \n", " (web_mob_yes/no_of_regs)*100)\n", "print(\"The percentage of people joined the webinar who has no prior exprience on Web/Android Dev :\", \n", " (web_mob_no/no_of_regs)*100)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.countplot(x=\"Knowledge of Dart programming language \", \n", " data=reg_data)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "reg_data[\"Where do you wish to use Flutter?\"].value_counts().plot(kind='barh')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Observation:**\n", "- Majority of the participants Wished for Learning Flutter for Mobile App Development" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analysis on Attendes data" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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NameEmail AddressJoin TimeLeave TimeTime in Session (minutes)
0AJNaN7:33 AM8:16 AM43
1AJNaN7:30 AM7:32 AM1
2AJNaN8:28 AM9:13 AM44
3ANKITKUMAR SINGHankitk.as51@gmail.com7:27 AM7:43 AM15
4ARaniket.rahalkar99@gmail.com7:36 AM7:39 AM3
\n", "
" ], "text/plain": [ " Name Email Address Join Time Leave Time \\\n", "0 AJ NaN 7:33 AM 8:16 AM \n", "1 AJ NaN 7:30 AM 7:32 AM \n", "2 AJ NaN 8:28 AM 9:13 AM \n", "3 ANKITKUMAR SINGH ankitk.as51@gmail.com 7:27 AM 7:43 AM \n", "4 AR aniket.rahalkar99@gmail.com 7:36 AM 7:39 AM \n", "\n", " Time in Session (minutes) \n", "0 43 \n", "1 1 \n", "2 44 \n", "3 15 \n", "4 3 " ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ui_data.head()" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "45" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ATTENDEES_COUNT = len(ui_data['Name'].value_counts())\n", "ATTENDEES_COUNT" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Observation\n", "Number of attendees without duplicates: **45**" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "58" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(ui_data.groupby(by=ui_data.Name, axis=1).sum())" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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NameTime in Session (minutes)
AJ1
43
44
ANKITKUMAR SINGH15
AR3
Abdultaiyeb Chechatwala0
Abhiram40
52
Abhishek Kumar104
Aditya VijayKumar Singh31
Aishwarya Pangarikar81
Akash M100
Antariksh Pratham98
Athul0
42
Ayush Shekhar24
85
Ayush Sonare Ayush Sonare38
Deepshikha37
Dewashish Kumar81
Dewashish kumar23
HAMID HUSSAIN66
JISS JOHNSON0
Jiss Johnson5
98
Madallapalli sushanth23
Maithili3
95
Mohit Kumar Patnaik105
Mugunthan1
Neha Rathi Neha Rathi1
PALAKULA SAI TARUN92
Psyco19
Rohit4
105
Sanjana Birari3
Sasank59
Sonal Agrawal16
51
Sriram Krishna123
Suchismita Chakraborti120
Surya Deepta Mazumdar24
38
Swarnima Shishodia12
78
Teja Kummarikuntla125
Vaibhav Mishra64
Vaibhavkondabathini0
You Know Who I Am111
Zubair9
11
dhruv72
kuro59
neeraj jayaram3
104
reconnecting....111
soundharya86
tanvi tanvi42
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" ], "text/plain": [ "Empty DataFrame\n", "Columns: []\n", "Index: [(AJ, 1), (AJ, 43), (AJ, 44), (ANKITKUMAR SINGH, 15), (AR, 3), (Abdultaiyeb Chechatwala, 0), (Abhiram, 40), (Abhiram, 52), (Abhishek Kumar, 104), (Aditya VijayKumar Singh, 31), (Aishwarya Pangarikar, 81), (Akash M, 100), (Antariksh Pratham, 98), (Athul, 0), (Athul, 42), (Ayush Shekhar, 24), (Ayush Shekhar, 85), (Ayush Sonare Ayush Sonare, 38), (Deepshikha, 37), (Dewashish Kumar, 81), (Dewashish kumar, 23), (HAMID HUSSAIN, 66), (JISS JOHNSON, 0), (Jiss Johnson, 5), (Jiss Johnson, 98), (Madallapalli sushanth, 23), (Maithili, 3), (Maithili, 95), (Mohit Kumar Patnaik, 105), (Mugunthan, 1), (Neha Rathi Neha Rathi, 1), (PALAKULA SAI TARUN, 92), (Psyco, 19), (Rohit, 4), (Rohit, 105), (Sanjana Birari, 3), (Sasank, 59), (Sonal Agrawal, 16), (Sonal Agrawal, 51), (Sriram Krishna, 123), (Suchismita Chakraborti, 120), (Surya Deepta Mazumdar, 24), (Surya Deepta Mazumdar, 38), (Swarnima Shishodia, 12), (Swarnima Shishodia, 78), (Teja Kummarikuntla, 125), (Vaibhav Mishra, 64), (Vaibhavkondabathini, 0), (You Know Who I Am, 111), (Zubair, 9), (Zubair, 11), (dhruv, 72), (kuro, 59), (neeraj jayaram, 3), (neeraj jayaram, 104), (reconnecting...., 111), (soundharya, 86), (tanvi tanvi, 42)]" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ui_data.groupby(['Name', 'Time in Session (minutes)']).sum().iloc[:,:0]" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(ui_data['Time in Session (minutes)'] == ui_data['Time in Session (minutes)'].iloc[0]).all()" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [], "source": [ "def time_agg(group_series):\n", " if (group_series==group_series.iloc[0]).all():\n", " return group_series.iloc[0]\n", " else:\n", " return group_series.sum()" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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NameJoin TimeLeave TimeTime in Session (minutes)
0AJ7:33 AM7:30 AM8:28 AM8:16 AM7:32 AM9:13 AM88
1ANKITKUMAR SINGH7:27 AM7:43 AM15
2AR7:36 AM7:39 AM3
3Abdultaiyeb Chechatwala7:27 AM7:28 AM0
4Abhiram7:30 AM8:20 AM8:10 AM9:13 AM92
5Abhishek Kumar7:28 AM9:13 AM104
6Aditya VijayKumar Singh7:27 AM7:59 AM31
7Aishwarya Pangarikar7:36 AM8:57 AM81
8Akash M7:26 AM9:07 AM100
9Antariksh Pratham7:07 AM8:46 AM98
10Athul8:30 AM7:47 AM8:31 AM8:30 AM42
11Ayush Shekhar7:23 AM7:47 AM7:47 AM9:13 AM109
12Ayush Sonare Ayush Sonare8:31 AM9:10 AM38
13Deepshikha7:56 AM8:33 AM37
14Dewashish Kumar7:52 AM9:13 AM81
15Dewashish kumar7:29 AM7:52 AM23
16HAMID HUSSAIN7:26 AM8:32 AM66
17JISS JOHNSON7:32 AM7:33 AM0
18Jiss Johnson7:30 AM7:34 AM7:36 AM9:12 AM103
19Madallapalli sushanth7:29 AM7:53 AM23
20Maithili7:33 AM7:37 AM7:37 AM9:13 AM98
21Mohit Kumar Patnaik7:27 AM9:13 AM105
22Mugunthan7:31 AM7:32 AM1
23Neha Rathi Neha Rathi7:34 AM7:35 AM1
24PALAKULA SAI TARUN7:36 AM9:08 AM92
25Psyco7:53 AM8:13 AM19
26Rohit7:19 AM9:05 AM9:04 AM9:10 AM109
27Sanjana Birari7:27 AM7:31 AM3
28Sasank7:57 AM8:57 AM59
29Sonal Agrawal7:32 AM8:21 AM7:48 AM9:13 AM67
30Sriram Krishna7:10 AM9:13 AM123
31Suchismita Chakraborti7:12 AM9:13 AM120
32Surya Deepta Mazumdar7:58 AM8:49 AM8:37 AM9:13 AM62
33Swarnima Shishodia7:14 AM7:27 AM7:26 AM8:45 AM90
34Teja Kummarikuntla7:07 AM9:13 AM125
35Vaibhav Mishra7:40 AM8:44 AM64
36Vaibhavkondabathini7:34 AM7:34 AM0
37You Know Who I Am7:21 AM9:13 AM111
38Zubair7:08 AM7:31 AM7:17 AM7:43 AM20
39dhruv7:39 AM8:52 AM72
40kuro7:35 AM8:34 AM59
41neeraj jayaram7:24 AM7:28 AM7:28 AM9:13 AM107
42reconnecting....7:21 AM9:13 AM111
43soundharya7:25 AM8:52 AM86
44tanvi tanvi7:29 AM8:11 AM42
\n", "
" ], "text/plain": [ " Name Join Time Leave Time \\\n", "0 AJ 7:33 AM7:30 AM8:28 AM 8:16 AM7:32 AM9:13 AM \n", "1 ANKITKUMAR SINGH 7:27 AM 7:43 AM \n", "2 AR 7:36 AM 7:39 AM \n", "3 Abdultaiyeb Chechatwala 7:27 AM 7:28 AM \n", "4 Abhiram 7:30 AM8:20 AM 8:10 AM9:13 AM \n", "5 Abhishek Kumar 7:28 AM 9:13 AM \n", "6 Aditya VijayKumar Singh 7:27 AM 7:59 AM \n", "7 Aishwarya Pangarikar 7:36 AM 8:57 AM \n", "8 Akash M 7:26 AM 9:07 AM \n", "9 Antariksh Pratham 7:07 AM 8:46 AM \n", "10 Athul 8:30 AM7:47 AM 8:31 AM8:30 AM \n", "11 Ayush Shekhar 7:23 AM7:47 AM 7:47 AM9:13 AM \n", "12 Ayush Sonare Ayush Sonare 8:31 AM 9:10 AM \n", "13 Deepshikha 7:56 AM 8:33 AM \n", "14 Dewashish Kumar 7:52 AM 9:13 AM \n", "15 Dewashish kumar 7:29 AM 7:52 AM \n", "16 HAMID HUSSAIN 7:26 AM 8:32 AM \n", "17 JISS JOHNSON 7:32 AM 7:33 AM \n", "18 Jiss Johnson 7:30 AM7:34 AM 7:36 AM9:12 AM \n", "19 Madallapalli sushanth 7:29 AM 7:53 AM \n", "20 Maithili 7:33 AM7:37 AM 7:37 AM9:13 AM \n", "21 Mohit Kumar Patnaik 7:27 AM 9:13 AM \n", "22 Mugunthan 7:31 AM 7:32 AM \n", "23 Neha Rathi Neha Rathi 7:34 AM 7:35 AM \n", "24 PALAKULA SAI TARUN 7:36 AM 9:08 AM \n", "25 Psyco 7:53 AM 8:13 AM \n", "26 Rohit 7:19 AM9:05 AM 9:04 AM9:10 AM \n", "27 Sanjana Birari 7:27 AM 7:31 AM \n", "28 Sasank 7:57 AM 8:57 AM \n", "29 Sonal Agrawal 7:32 AM8:21 AM 7:48 AM9:13 AM \n", "30 Sriram Krishna 7:10 AM 9:13 AM \n", "31 Suchismita Chakraborti 7:12 AM 9:13 AM \n", "32 Surya Deepta Mazumdar 7:58 AM8:49 AM 8:37 AM9:13 AM \n", "33 Swarnima Shishodia 7:14 AM7:27 AM 7:26 AM8:45 AM \n", "34 Teja Kummarikuntla 7:07 AM 9:13 AM \n", "35 Vaibhav Mishra 7:40 AM 8:44 AM \n", "36 Vaibhavkondabathini 7:34 AM 7:34 AM \n", "37 You Know Who I Am 7:21 AM 9:13 AM \n", "38 Zubair 7:08 AM7:31 AM 7:17 AM7:43 AM \n", "39 dhruv 7:39 AM 8:52 AM \n", "40 kuro 7:35 AM 8:34 AM \n", "41 neeraj jayaram 7:24 AM7:28 AM 7:28 AM9:13 AM \n", "42 reconnecting.... 7:21 AM 9:13 AM \n", "43 soundharya 7:25 AM 8:52 AM \n", "44 tanvi tanvi 7:29 AM 8:11 AM \n", "\n", " Time in Session (minutes) \n", "0 88 \n", "1 15 \n", "2 3 \n", "3 0 \n", "4 92 \n", "5 104 \n", "6 31 \n", "7 81 \n", "8 100 \n", "9 98 \n", "10 42 \n", "11 109 \n", "12 38 \n", "13 37 \n", "14 81 \n", "15 23 \n", "16 66 \n", "17 0 \n", "18 103 \n", "19 23 \n", "20 98 \n", "21 105 \n", "22 1 \n", "23 1 \n", "24 92 \n", "25 19 \n", "26 109 \n", "27 3 \n", "28 59 \n", "29 67 \n", "30 123 \n", "31 120 \n", "32 62 \n", "33 90 \n", "34 125 \n", "35 64 \n", "36 0 \n", "37 111 \n", "38 20 \n", "39 72 \n", "40 59 \n", "41 107 \n", "42 111 \n", "43 86 \n", "44 42 " ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ui_data.groupby('Name', as_index=False).agg(time_agg)[['Name', 'Join Time', 'Leave Time', 'Time in Session (minutes)']]" ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [], "source": [ "atten_group_df = ui_data[['Name', 'Time in Session (minutes)', 'Email Address']].groupby('Name', as_index=False).agg(time_agg)\n", "atten_group_df.sort_values(by=['Time in Session (minutes)'],ascending=False, inplace=True)" ] }, { "cell_type": "code", "execution_count": 83, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.factorplot(x=\"Name\", y=\"Time in Session (minutes)\", \n", " data=atten_group_df, kind=\"bar\", \n", " size = 15, aspect=2,\n", " palette = \"muted\")\n", "\n", "# for value in plot:\n", "# height = value.get_height()\n", "# plt.text(value.get_x() + value.get_width()/2.,\n", "# 1.002*height,'%d' % int(height), ha='center', va='bottom')\n", "\n", "plt.xticks(rotation=45);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Individual time spent analysis of attendes**" ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [ { "data": { "image/png": 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Time in Session (minutes)
Name
Teja Kummarikuntla125
Sriram Krishna123
Suchismita Chakraborti120
You Know Who I Am111
reconnecting....111
Rohit109
Ayush Shekhar109
neeraj jayaram107
Mohit Kumar Patnaik105
Abhishek Kumar104
Jiss Johnson103
Akash M100
Maithili98
Antariksh Pratham98
PALAKULA SAI TARUN92
Abhiram92
Swarnima Shishodia90
AJ88
soundharya86
Dewashish Kumar81
Aishwarya Pangarikar81
dhruv72
Sonal Agrawal67
HAMID HUSSAIN66
Vaibhav Mishra64
Surya Deepta Mazumdar62
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" ], "text/plain": [ " Time in Session (minutes)\n", "Name \n", "Teja Kummarikuntla 125\n", "Sriram Krishna 123\n", "Suchismita Chakraborti 120\n", "You Know Who I Am 111\n", "reconnecting.... 111\n", "Rohit 109\n", "Ayush Shekhar 109\n", "neeraj jayaram 107\n", "Mohit Kumar Patnaik 105\n", "Abhishek Kumar 104\n", "Jiss Johnson 103\n", "Akash M 100\n", "Maithili 98\n", "Antariksh Pratham 98\n", "PALAKULA SAI TARUN 92\n", "Abhiram 92\n", "Swarnima Shishodia 90\n", "AJ 88\n", "soundharya 86\n", "Dewashish Kumar 81\n", "Aishwarya Pangarikar 81\n", "dhruv 72\n", "Sonal Agrawal 67\n", "HAMID HUSSAIN 66\n", "Vaibhav Mishra 64\n", "Surya Deepta Mazumdar 62" ] }, "execution_count": 77, "metadata": {}, "output_type": "execute_result" } ], "source": [ "atten_group_df[atten_group_df[\"Time in Session (minutes)\"] >= SESSION_DURATION//2][['Name', 'Time in Session (minutes)']].set_index('Name')" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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NameTime in Session (minutes)
34Teja Kummarikuntla125
30Sriram Krishna123
31Suchismita Chakraborti120
37You Know Who I Am111
42reconnecting....111
26Rohit109
11Ayush Shekhar109
41neeraj jayaram107
21Mohit Kumar Patnaik105
5Abhishek Kumar104
18Jiss Johnson103
8Akash M100
20Maithili98
9Antariksh Pratham98
24PALAKULA SAI TARUN92
4Abhiram92
33Swarnima Shishodia90
0AJ88
43soundharya86
14Dewashish Kumar81
7Aishwarya Pangarikar81
39dhruv72
29Sonal Agrawal67
16HAMID HUSSAIN66
35Vaibhav Mishra64
32Surya Deepta Mazumdar62
28Sasank59
40kuro59
44tanvi tanvi42
10Athul42
12Ayush Sonare Ayush Sonare38
13Deepshikha37
6Aditya VijayKumar Singh31
19Madallapalli sushanth23
15Dewashish kumar23
38Zubair20
25Psyco19
1ANKITKUMAR SINGH15
27Sanjana Birari3
2AR3
23Neha Rathi Neha Rathi1
22Mugunthan1
17JISS JOHNSON0
36Vaibhavkondabathini0
3Abdultaiyeb Chechatwala0
\n", "
" ], "text/plain": [ " Name Time in Session (minutes)\n", "34 Teja Kummarikuntla 125\n", "30 Sriram Krishna 123\n", "31 Suchismita Chakraborti 120\n", "37 You Know Who I Am 111\n", "42 reconnecting.... 111\n", "26 Rohit 109\n", "11 Ayush Shekhar 109\n", "41 neeraj jayaram 107\n", "21 Mohit Kumar Patnaik 105\n", "5 Abhishek Kumar 104\n", "18 Jiss Johnson 103\n", "8 Akash M 100\n", "20 Maithili 98\n", "9 Antariksh Pratham 98\n", "24 PALAKULA SAI TARUN 92\n", "4 Abhiram 92\n", "33 Swarnima Shishodia 90\n", "0 AJ 88\n", "43 soundharya 86\n", "14 Dewashish Kumar 81\n", "7 Aishwarya Pangarikar 81\n", "39 dhruv 72\n", "29 Sonal Agrawal 67\n", "16 HAMID HUSSAIN 66\n", "35 Vaibhav Mishra 64\n", "32 Surya Deepta Mazumdar 62\n", "28 Sasank 59\n", "40 kuro 59\n", "44 tanvi tanvi 42\n", "10 Athul 42\n", "12 Ayush Sonare Ayush Sonare 38\n", "13 Deepshikha 37\n", "6 Aditya VijayKumar Singh 31\n", "19 Madallapalli sushanth 23\n", "15 Dewashish kumar 23\n", "38 Zubair 20\n", "25 Psyco 19\n", "1 ANKITKUMAR SINGH 15\n", "27 Sanjana Birari 3\n", "2 AR 3\n", "23 Neha Rathi Neha Rathi 1\n", "22 Mugunthan 1\n", "17 JISS JOHNSON 0\n", "36 Vaibhavkondabathini 0\n", "3 Abdultaiyeb Chechatwala 0" ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "atten_group_df" ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "26" ] }, "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(atten_group_df[atten_group_df[\"Time in Session (minutes)\"] >= SESSION_DURATION//2].set_index('Name')['Time in Session (minutes)'])" ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Percentage of Students registered and attended the session 61.64383561643836\n" ] } ], "source": [ "registerd_attendes_ratio = (ATTENDEES_COUNT/REG_COUNT) * 100\n", "print(\"Percentage of Students registered and attended the session {}\".format(registerd_attendes_ratio))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Summary [Report]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Registration Data Analysis**\n", "- Name of the Event: **Developer 101 | A Step Forward with Flutter**\n", "- No of registrations: **73**\n", "- Registration Count with Batch filter\n", " - 2022 : 27\n", " - 2021 : 22\n", " - 2023 : 13\n", " - Professional : 11\n", "- No of registrations **With out** prior knowledge on web/app Development : 50 [68.4931506849315%]\n", "- No of registrations **With** prior knowledge on web/app Development : 23 [31.506849315068493%]\n", "- No of registrations who are Beginners in Dart Programming language : 61\n", "- No of registrations who are Beginners in Dart Programming language : 12\n", "- Registrations wish to use Flutter for \n", " - Mobile app development | 38\n", " - Web app development | 13\n", " - Mobile app development, Web app development, Desktop app development | 12\n", " - Mobile app development, Web app development | 9\n", " - Mobile app development, Desktop app development | 1\n", "\n", "**Webinar Attendes Data Analysis**\n", "- No of Attendees: 45\n", "- No of students spent more than half in the session: 27\n", "- ***Percentage of Students registered and attended the session 61.64383561643836%***\n", "- Students spent more than 55 minutes in the session \n", " Teja Kummarikuntla\n", " Sriram Krishna\t\n", " Suchismita Chakraborti\t\n", " You Know Who I Am\t\n", " reconnecting....\t\n", " Rohit\t\n", " Ayush Shekhar\t\n", " neeraj jayaram\t\n", " Mohit Kumar Patnaik\n", " Abhishek Kumar\t\n", " Jiss Johnson\t\n", " Akash M\t\n", " Maithili\n", " Antariksh Pratham\t\n", " PALAKULA SAI TARUN\t\n", " Abhiram\t\n", " Swarnima Shishodia\t\n", " AJ\t\n", " soundharya\t\n", " Dewashish Kumar\n", " Aishwarya Pangarikar\n", " dhruv\t\n", " Sonal Agrawal\n", " HAMID HUSSAIN\n", " Vaibhav Mishra\n", " Surya Deepta Mazumdar\t" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 4 }