From 7a5de533f9e0a8877261dc8f81e0ec4261206b2c Mon Sep 17 00:00:00 2001 From: patriciapapura Date: Sat, 15 Apr 2023 12:19:57 +0100 Subject: [PATCH] Preprocessing stage 1 Dataset added and cleaned 5 traits calculated Scaled --- Dissertation.ipynb | 2562 ++++++++++++++++++++++++++++++++++++++++++++ dataset.csv | 89 ++ 2 files changed, 2651 insertions(+) create mode 100644 Dissertation.ipynb create mode 100644 dataset.csv diff --git a/Dissertation.ipynb b/Dissertation.ipynb new file mode 100644 index 0000000..f08bac7 --- /dev/null +++ b/Dissertation.ipynb @@ -0,0 +1,2562 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "a8acb5a2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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1. Consent: By clicking on the \"I Agree\" button below, you are indicating that you have read and understood the information provided above, that you voluntarily agree to participate in this study, and that you are at least 18 years of age.2. I see Myself as Someone Who...2.1. Is talkative2.2. Tends to find fault with others2.3. Does a thorough job2.4. Is depressed, blue2.5. Is original, comes up with new ideas2.6. Is reserved2.7. Is helpful and unselfish with others2.8. Can be somewhat careless...2.36. Is outgoing, sociable2.37. Is sometimes rude to others2.38. Makes plans and follows through with them2.39. Gets nervous easily2.40. Likes to reflect, play with ideas2.41. Has few artistic interests2.42. Likes to cooperate with others2.43. Is easily distracted2.44. Is sophisticated in art, music, or literature3. What is your favourite dance style in the context of dance battles from the ones in the list below:
0I agreeNaN4.02.03.03.02.03.05.02.0...4.03.02.04.02.02.05.04.03.0House
1I agreeNaN4.03.02.03.04.04.05.04.0...4.03.03.04.04.04.04.04.04.0Hip Hop
2I agreeNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaN3.0Dancehall
3I agreeNaN5.02.02.02.04.02.04.05.0...5.03.03.01.03.01.04.04.03.0Dancehall
4I agreeNaNNaN1.03.0NaN3.05.05.03.0...3.03.03.03.03.03.05.03.02.0House
..................................................................
83I agreeNaN3.04.03.04.03.02.04.03.0...4.02.05.04.04.03.04.05.04.0Breaking
84I agreeNaN1.02.03.04.02.05.03.02.0...1.03.02.03.01.04.02.01.01.0Hip Hop
85I agreeNaN4.02.03.02.05.02.05.04.0...4.03.01.01.04.05.04.05.05.0Vogue
86I agreeNaN5.03.04.04.04.02.03.03.0...5.02.03.03.03.01.04.03.05.0Hip Hop
87I agreeNaN4.02.03.02.03.02.04.04.0...4.02.04.02.02.03.03.04.02.0Hip Hop
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2.1. Is talkative2.2. Tends to find fault with others2.3. Does a thorough job2.4. Is depressed, blue2.5. Is original, comes up with new ideas2.6. Is reserved2.7. Is helpful and unselfish with others2.8. Can be somewhat careless2.9. Is relaxed, handles stress well2.10. Is curious about many different things...2.36. Is outgoing, sociable2.37. Is sometimes rude to others2.38. Makes plans and follows through with them2.39. Gets nervous easily2.40. Likes to reflect, play with ideas2.41. Has few artistic interests2.42. Likes to cooperate with others2.43. Is easily distracted2.44. Is sophisticated in art, music, or literature3. What is your favourite dance style in the context of dance battles from the ones in the list below:
04.02.03.03.02.03.05.02.01.04.0...4.03.02.04.02.02.05.04.03.0House
14.03.02.03.04.04.05.04.03.04.0...4.03.03.04.04.04.04.04.04.0Hip Hop
2NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaN3.0Dancehall
35.02.02.02.04.02.04.05.04.05.0...5.03.03.01.03.01.04.04.03.0Dancehall
4NaN1.03.0NaN3.05.05.03.03.05.0...3.03.03.03.03.03.05.03.02.0House
..................................................................
833.04.03.04.03.02.04.03.01.05.0...4.02.05.04.04.03.04.05.04.0Breaking
841.02.03.04.02.05.03.02.05.02.0...1.03.02.03.01.04.02.01.01.0Hip Hop
854.02.03.02.05.02.05.04.03.05.0...4.03.01.01.04.05.04.05.05.0Vogue
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" + ], + "text/plain": [ + " 2.1. Is talkative 2.2. Tends to find fault with others \\\n", + "0 4.0 2.0 \n", + "1 4.0 3.0 \n", + "2 NaN NaN \n", + "3 5.0 2.0 \n", + "4 NaN 1.0 \n", + ".. ... ... \n", + "83 3.0 4.0 \n", + "84 1.0 2.0 \n", + "85 4.0 2.0 \n", + "86 5.0 3.0 \n", + "87 4.0 2.0 \n", + "\n", + " 2.3. Does a thorough job 2.4. Is depressed, blue \\\n", + "0 3.0 3.0 \n", + "1 2.0 3.0 \n", + "2 NaN NaN \n", + "3 2.0 2.0 \n", + "4 3.0 NaN \n", + ".. ... ... \n", + "83 3.0 4.0 \n", + "84 3.0 4.0 \n", + "85 3.0 2.0 \n", + "86 4.0 4.0 \n", + "87 3.0 2.0 \n", + "\n", + " 2.5. Is original, comes up with new ideas 2.6. Is reserved \\\n", + "0 2.0 3.0 \n", + "1 4.0 4.0 \n", + "2 NaN NaN \n", + "3 4.0 2.0 \n", + "4 3.0 5.0 \n", + ".. ... ... \n", + "83 3.0 2.0 \n", + "84 2.0 5.0 \n", + "85 5.0 2.0 \n", + "86 4.0 2.0 \n", + "87 3.0 2.0 \n", + "\n", + " 2.7. Is helpful and unselfish with others 2.8. Can be somewhat careless \\\n", + "0 5.0 2.0 \n", + "1 5.0 4.0 \n", + "2 NaN NaN \n", + "3 4.0 5.0 \n", + "4 5.0 3.0 \n", + ".. ... ... \n", + "83 4.0 3.0 \n", + "84 3.0 2.0 \n", + "85 5.0 4.0 \n", + "86 3.0 3.0 \n", + "87 4.0 4.0 \n", + "\n", + " 2.9. Is relaxed, handles stress well \\\n", + "0 1.0 \n", + "1 3.0 \n", + "2 NaN \n", + "3 4.0 \n", + "4 3.0 \n", + ".. ... \n", + "83 1.0 \n", + "84 5.0 \n", + "85 3.0 \n", + "86 3.0 \n", + "87 3.0 \n", + "\n", + " 2.10. Is curious about many different things ... \\\n", + "0 4.0 ... \n", + "1 4.0 ... \n", + "2 NaN ... \n", + "3 5.0 ... \n", + "4 5.0 ... \n", + ".. ... ... \n", + "83 5.0 ... \n", + "84 2.0 ... \n", + "85 5.0 ... \n", + "86 4.0 ... \n", + "87 3.0 ... \n", + "\n", + " 2.36. Is outgoing, sociable 2.37. Is sometimes rude to others \\\n", + "0 4.0 3.0 \n", + "1 4.0 3.0 \n", + "2 NaN NaN \n", + "3 5.0 3.0 \n", + "4 3.0 3.0 \n", + ".. ... ... \n", + "83 4.0 2.0 \n", + "84 1.0 3.0 \n", + "85 4.0 3.0 \n", + "86 5.0 2.0 \n", + "87 4.0 2.0 \n", + "\n", + " 2.38. Makes plans and follows through with them \\\n", + "0 2.0 \n", + "1 3.0 \n", + "2 NaN \n", + "3 3.0 \n", + "4 3.0 \n", + ".. ... \n", + "83 5.0 \n", + "84 2.0 \n", + "85 1.0 \n", + "86 3.0 \n", + "87 4.0 \n", + "\n", + " 2.39. Gets nervous easily 2.40. Likes to reflect, play with ideas \\\n", + "0 4.0 2.0 \n", + "1 4.0 4.0 \n", + "2 NaN NaN \n", + "3 1.0 3.0 \n", + "4 3.0 3.0 \n", + ".. ... ... \n", + "83 4.0 4.0 \n", + "84 3.0 1.0 \n", + "85 1.0 4.0 \n", + "86 3.0 3.0 \n", + "87 2.0 2.0 \n", + "\n", + " 2.41. Has few artistic interests 2.42. Likes to cooperate with others \\\n", + "0 2.0 5.0 \n", + "1 4.0 4.0 \n", + "2 NaN NaN \n", + "3 1.0 4.0 \n", + "4 3.0 5.0 \n", + ".. ... ... \n", + "83 3.0 4.0 \n", + "84 4.0 2.0 \n", + "85 5.0 4.0 \n", + "86 1.0 4.0 \n", + "87 3.0 3.0 \n", + "\n", + " 2.43. Is easily distracted \\\n", + "0 4.0 \n", + "1 4.0 \n", + "2 NaN \n", + "3 4.0 \n", + "4 3.0 \n", + ".. ... \n", + "83 5.0 \n", + "84 1.0 \n", + "85 5.0 \n", + "86 3.0 \n", + "87 4.0 \n", + "\n", + " 2.44. Is sophisticated in art, music, or literature \\\n", + "0 3.0 \n", + "1 4.0 \n", + "2 3.0 \n", + "3 3.0 \n", + "4 2.0 \n", + ".. ... \n", + "83 4.0 \n", + "84 1.0 \n", + "85 5.0 \n", + "86 5.0 \n", + "87 2.0 \n", + "\n", + " 3. What is your favourite dance style in the context of dance battles from the ones in the list below: \n", + "0 House \n", + "1 Hip Hop \n", + "2 Dancehall \n", + "3 Dancehall \n", + "4 House \n", + ".. ... \n", + "83 Breaking \n", + "84 Hip Hop \n", + "85 Vogue \n", + "86 Hip Hop \n", + "87 Hip Hop \n", + "\n", + "[88 rows x 45 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"\"\"\n", + "In this section the data is being preproccesed (cleaned)\n", + "\n", + "\"\"\"\n", + "# drop the first two columns as they are not part of the actual dataset to be analysed\n", + "df = df.iloc[:, 2:]\n", + "\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "df9ecdeb", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "2 43\n", + "4 2\n", + "5 1\n", + "17 1\n", + "18 2\n", + "20 13\n", + "22 1\n", + "24 1\n", + "29 1\n", + "31 1\n", + "33 1\n", + "34 11\n", + "41 1\n", + "47 3\n", + "53 2\n", + "59 2\n", + "66 43\n", + "67 1\n", + "73 1\n", + "76 1\n", + "81 1\n", + "dtype: int64" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"\"\"\n", + "SECTION 1: MISSING VALUES\n", + "NaN values affect the model accuracy and sampling\n", + "\"\"\"\n", + "# count the number of null values for each row\n", + "null_counts = df[df.isnull().any(axis=1)].isnull().sum(axis=1)\n", + "null_counts" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f58c27e2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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2.1. Is talkative2.2. Tends to find fault with others2.3. Does a thorough job2.4. Is depressed, blue2.5. Is original, comes up with new ideas2.6. Is reserved2.7. Is helpful and unselfish with others2.8. Can be somewhat careless2.9. Is relaxed, handles stress well2.10. Is curious about many different things...2.36. Is outgoing, sociable2.37. Is sometimes rude to others2.38. Makes plans and follows through with them2.39. Gets nervous easily2.40. Likes to reflect, play with ideas2.41. Has few artistic interests2.42. Likes to cooperate with others2.43. Is easily distracted2.44. Is sophisticated in art, music, or literature3. What is your favourite dance style in the context of dance battles from the ones in the list below:
201.0NaN1.0NaN1.0NaN1.0NaN1.01.0...1.0NaNNaN1.01.01.01.01.01.0Popping
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2.1. Is talkative2.2. Tends to find fault with others2.3. Does a thorough job2.4. Is depressed, blue2.5. Is original, comes up with new ideas2.6. Is reserved2.7. Is helpful and unselfish with others2.8. Can be somewhat careless2.9. Is relaxed, handles stress well2.10. Is curious about many different things...2.36. Is outgoing, sociable2.37. Is sometimes rude to others2.38. Makes plans and follows through with them2.39. Gets nervous easily2.40. Likes to reflect, play with ideas2.41. Has few artistic interests2.42. Likes to cooperate with others2.43. Is easily distracted2.44. Is sophisticated in art, music, or literature3. What is your favourite dance style in the context of dance battles from the ones in the list below:
04.02.03.03.02.03.05.02.01.04.0...4.03.02.04.02.02.05.04.03.0House
14.03.02.03.04.04.05.04.03.04.0...4.03.03.04.04.04.04.04.04.0Hip Hop
35.02.02.02.04.02.04.05.04.05.0...5.03.03.01.03.01.04.04.03.0Dancehall
40.01.03.00.03.05.05.03.03.05.0...3.03.03.03.03.03.05.03.02.0House
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ExtraversionAgreeablenessConscientiousnessNeuroticismOpennessDance_Style
027.030.029.027.032.0House
132.031.033.034.037.0Hip Hop
326.030.024.029.030.0Dancehall
422.026.018.024.033.0House
522.034.027.031.031.0Hip Hop
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" + ], + "text/plain": [ + " Extraversion Agreeableness Conscientiousness Neuroticism Openness \\\n", + "0 27.0 30.0 29.0 27.0 32.0 \n", + "1 32.0 31.0 33.0 34.0 37.0 \n", + "3 26.0 30.0 24.0 29.0 30.0 \n", + "4 22.0 26.0 18.0 24.0 33.0 \n", + "5 22.0 34.0 27.0 31.0 31.0 \n", + "\n", + " Dance_Style \n", + "0 House \n", + "1 Hip Hop \n", + "3 Dancehall \n", + "4 House \n", + "5 Hip Hop " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"\"\"\n", + "SECTION 2: FORMULA\n", + "Extraversion: 1, 6R, 11, 16, 21R, 26, 31R, 36 \n", + "Agreeableness: 2R, 7, 12R, 17, 22, 27R, 32, 37R, 42 \n", + "Conscientiousness: 3, 8R, 13, 18R, 23R, 28, 33, 38, 43R \n", + "Neuroticism: 4, 9R, 14, 19, 24R, 29, 34R, 39 \n", + "Openness: 5, 10, 15, 20, 25, 30, 35R, 40, 41R, 44\n", + "\n", + "\"\"\"\n", + "# Define the column groups\n", + "extraversion_cols = [1, 6, 11, 16, 21, 26, 31, 36]\n", + "agreeableness_cols = [2, 7, 12, 17, 22, 27, 32, 37, 42]\n", + "conscientiousness_cols = [3, 8, 13, 18, 23, 28, 33, 38, 43]\n", + "neuroticism_cols = [4, 9, 14, 19, 24, 29, 34, 39]\n", + "openness_cols = [5, 10, 15, 20, 25, 30, 35, 40, 41, 44]\n", + "\n", + "# Create a new DataFrame with the sum of the specified columns for each category\n", + "category_df = pd.DataFrame({\n", + " 'Extraversion': df.iloc[:, extraversion_cols].sum(axis=1),\n", + " 'Agreeableness': df.iloc[:, agreeableness_cols].sum(axis=1),\n", + " 'Conscientiousness': df.iloc[:, conscientiousness_cols].sum(axis=1),\n", + " 'Neuroticism': df.iloc[:, neuroticism_cols].sum(axis=1),\n", + " 'Openness': df.iloc[:, openness_cols].sum(axis=1),\n", + " 'Dance_Style': df.iloc[:,-1]\n", + "})\n", + "\n", + "category_df.head()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "dce38887", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\"\"\"\n", + "SECTION 5: Relevance of data\n", + "\"\"\"\n", + "#Create a corelation matrix to check the relation between Target and other Cols\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "plt.subplots(figsize=(60, 40))\n", + "sns.heatmap(df.corr(), annot = True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "40976ac8", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.10.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/dataset.csv b/dataset.csv new file mode 100644 index 0000000..2c5b6bc --- /dev/null +++ b/dataset.csv @@ -0,0 +1,89 @@ +"1. Consent: By clicking on the ""I Agree"" button below, you are indicating that you have read and understood the information provided above, that you voluntarily agree to participate in this study, and that you are at least 18 years of age.",2. I see Myself as Someone Who...,2.1. Is talkative,2.2. Tends to find fault with others,2.3. Does a thorough job,"2.4. Is depressed, blue","2.5. Is original, comes up with new ideas",2.6. Is reserved,2.7. Is helpful and unselfish with others,2.8. Can be somewhat careless,"2.9. Is relaxed, handles stress well",2.10. Is curious about many different things,2.11. Is full of energy,2.12. Starts quarrels with others,2.13. Is a reliable worker,2.14. Can be tense,"2.15. Is ingenious, a deep thinker",2.16. Generates a lot of enthusiasm,2.17. Has a forgiving nature,2.18. Tends to be disorganized,2.19. Worries a lot,2.20. Has an active imagination,2.21. Tends to be quiet,2.22. Is generally trusting,2.23. Tends to be lazy,"2.24. Is emotionally stable, not easily upset",2.25. Is inventive,2.26. Has an assertive personality,2.27. Can be cold and aloof,2.28. Perseveres until the task is finished,2.29. Can be moody,"2.30. Values artistic, aesthetic experiences","2.31. Is sometimes shy, inhibited",2.32. Is considerate and kind to almost everyone,2.33. Does things efficiently,2.34. Remains calm in tense situations,2.35. Prefers work that is routine,"2.36. Is outgoing, sociable",2.37. Is sometimes rude to others,2.38. Makes plans and follows through with them,2.39. Gets nervous easily,"2.40. Likes to reflect, play with ideas",2.41. Has few artistic interests,2.42. Likes to cooperate with others,2.43. Is easily distracted,"2.44. Is sophisticated in art, music, or literature",3. What is your favourite dance style in the context of dance battles from the ones in the list below: +I agree,,4,2,3,3,2,3,5,2,1,4,3,2,4,4,4,4,5,4,5,3,3,4,5,3,2,3,2,3,4,5,5,4,3,2,5,4,3,2,4,2,2,5,4,3,House +I agree,,4,3,2,3,4,4,5,4,3,4,4,3,3,4,5,5,5,4,4,4,4,4,4,3,4,4,4,3,5,5,4,5,4,3,4,4,3,3,4,4,4,4,4,4,Hip Hop +I agree,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,3,Dancehall +I agree,,5,2,2,2,4,2,4,5,4,5,5,3,3,3,3,5,4,5,2,5,2,3,3,2,3,4,4,2,3,5,2,3,3,4,1,5,3,3,1,3,1,4,4,3,Dancehall +I agree,,,1,3,,3,5,5,3,3,5,5,3,3,3,3,3,3,5,1,2,3,3,2,2,3,3,2,2,2,2,3,2,2,2,3,3,3,3,3,3,3,5,3,2,House +I agree,,1,1,5,1,3,5,3,4,3,5,3,1,5,3,5,3,3,1,4,3,5,5,3,,3,3,4,5,4,5,4,4,4,3,3,4,1,4,4,4,1,3,3,5,Hip Hop +I agree,,3,1,5,1,3,4,4,1,3,5,5,2,5,4,5,3,4,1,4,4,3,5,1,2,4,3,2,5,4,3,4,5,4,3,3,4,4,4,5,4,2,4,2,3,Dancehall +I agree,,4,3,4,2,5,2,4,4,3,4,5,3,5,4,4,5,5,2,4,4,2,4,2,2,4,3,4,2,4,4,4,4,4,4,5,4,4,5,3,5,2,3,4,4,Hip Hop +I agree,,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,Hip Hop +I agree,,4,1,4,2,4,3,5,2,4,4,5,3,4,3,4,4,4,3,1,4,1,4,4,4,4,3,3,4,4,3,4,4,4,2,2,4,1,4,2,4,4,4,4,4,Dancehall +I agree,,4,2,3,1,3,2,4,2,2,2,5,2,4,4,3,4,4,2,3,4,2,4,2,3,3,4,2,4,3,4,2,5,5,3,3,4,2,4,2,4,2,4,4,4,Hip Hop +I agree,,4,3,4,2,4,2,4,2,4,1,4,3,4,4,4,4,1,2,3,1,2,3,2,3,3,4,4,2,3,1,2,4,3,4,2,4,3,3,2,4,4,1,2,4,Hip Hop +I agree,,2,1,4,5,5,4,5,5,2,5,5,1,5,4,5,4,5,4,5,4,4,5,4,2,5,2,4,4,4,2,3,5,5,5,4,5,2,5,4,5,4,5,5,3,Dancehall +I agree,,3,3,3,3,3,3,3,4,3,3,4,3,4,4,4,3,3,3,4,2,3,4,4,2,3,3,3,4,4,4,3,4,4,3,3,3,3,4,3,3,4,4,3,4,Hip Hop +I agree,,3,2,5,2,4,4,4,2,3,5,4,2,5,3,5,4,3,3,4,5,3,3,3,4,5,4,3,5,4,5,4,4,4,4,2,3,3,4,3,4,5,4,2,4,House +I agree,,5,5,5,2,4,2,3,4,1,4,4,4,5,4,5,5,2,1,5,5,1,5,1,3,4,5,2,5,5,5,4,5,5,2,5,5,2,4,5,5,1,4,2,5,Hip Hop +I agree,,4,1,4,1,5,2,5,3,4,5,4,2,5,2,5,5,5,2,3,5,1,5,2,4,5,5,5,5,3,5,2,5,5,3,1,5,3,5,2,5,5,5,1,2,Hip Hop +I agree,,5,3,3,2,5,2,4,4,4,5,5,5,5,4,5,5,5,3,3,5,2,5,1,4,,3,1,5,1,5,3,5,5,4,1,5,3,5,1,5,1,5,1,5,Hip Hop +I agree,,2,1,2,1,5,2,5,,4,5,5,2,3,,5,5,5,5,4,5,2,4,2,4,5,5,4,4,5,5,2,4,4,4,1,5,3,2,2,5,1,4,2,4,Dancehall +I agree,,4,2,2,1,5,2,4,2,3,5,3,1,5,4,5,4,5,4,4,4,2,5,2,2,4,2,1,2,2,4,2,5,2,4,1,4,2,4,2,4,1,4,4,4,Vogue +I agree,,1,,1,,1,,1,,1,1,1,,1,,1,,1,,1,1,1,1,1,1,1,1,1,1,1,,1,1,1,,,1,,,1,1,1,1,1,1,Popping +I agree,,5,3,4,1,4,2,5,2,4,5,5,3,4,2,2,5,2,4,3,5,2,4,4,4,3,3,2,4,4,4,2,4,3,2,2,5,3,5,3,4,4,5,4,3,Hip Hop +I agree,,2,1,2,1,2,2,2,2,3,2,,1,1,1,2,2,2,2,2,1,1,3,3,3,3,1,1,1,2,2,2,2,3,3,3,3,3,1,1,1,1,1,1,1,Dancehall +I agree,,3,4,4,2,5,3,4,4,2,5,3,1,4,4,5,4,2,5,5,5,3,5,4,2,5,4,2,3,4,5,4,5,3,3,4,4,1,4,4,5,1,4,4,5,Locking +I agree,,4,3,4,2,5,4,5,5,5,5,5,4,4,4,5,5,5,2,5,5,,4,3,5,5,3,3,3,3,3,3,3,4,3,3,4,3,4,5,4,4,4,4,3,Hip Hop +I agree,,4,2,4,2,5,2,5,2,4,5,4,2,4,2,4,4,4,2,2,5,2,4,2,2,5,3,2,5,2,5,2,5,3,3,2,4,2,4,3,5,1,5,2,4,Hip Hop +I agree,,4,1,4,1,4,1,4,2,3,4,5,1,5,1,4,4,4,1,3,4,1,5,2,1,3,3,1,4,1,4,1,4,4,3,4,4,1,4,2,4,1,4,2,3,Dancehall +I agree,,3,4,3,1,4,2,4,1,2,4,2,1,4,3,4,4,3,1,4,4,3,4,4,1,4,3,2,3,4,4,3,4,3,3,1,4,2,3,3,3,1,4,4,4,Dancehall +I agree,,3,2,3,2,4,4,4,3,3,4,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,4,Vogue +I agree,,3,2,3,2,3,4,3,2,5,4,,3,4,2,2,3,3,1,2,4,3,3,3,4,3,3,2,3,2,4,2,4,4,4,2,3,1,3,2,3,2,4,2,4,Hip Hop +I agree,,5,2,4,1,5,2,5,4,4,5,5,1,4,1,5,5,5,3,2,5,1,5,4,5,5,5,1,4,3,5,1,5,5,5,3,5,2,5,1,5,1,5,4,5,Hip Hop +I agree,,4,4,,3,4,3,4,3,4,5,3,3,5,4,5,3,4,3,3,4,3,4,3,3,4,3,4,3,4,4,4,5,4,2,5,5,4,4,3,3,1,4,3,3,Dancehall +I agree,,5,2,4,1,5,2,4,1,3,5,5,2,5,2,5,4,5,4,4,5,1,2,4,3,5,4,4,5,3,5,1,5,3,3,1,5,3,3,3,5,1,5,5,4,Hip Hop +I agree,,4,3,4,1,4,2,3,3,5,3,3,2,4,2,3,2,3,2,1,4,4,,2,4,4,5,5,4,3,5,2,2,5,4,1,3,3,3,2,3,5,3,2,5,Hip Hop +I agree,,1,,1,,1,,1,,1,1,1,,1,,1,1,1,,1,1,1,1,1,1,1,1,1,1,1,,1,1,1,1,,1,,1,1,1,,1,1,1,Popping +I agree,,5,1,5,1,4,3,5,3,4,5,5,1,5,4,3,5,5,2,4,4,4,5,2,4,5,3,1,5,3,5,3,5,5,4,3,5,1,5,3,5,5,5,2,5,Hip Hop +I agree,,5,1,5,1,5,5,5,1,5,5,5,4,5,3,4,5,4,3,2,5,1,5,2,5,5,5,2,5,3,5,1,5,5,3,1,5,1,5,4,5,5,5,2,5,Hip Hop +I agree,,5,1,4,3,5,3,5,3,2,5,3,2,4,3,5,4,4,4,2,5,3,5,4,2,5,5,4,4,3,5,4,4,4,3,3,5,3,4,2,5,4,4,3,5,Hip Hop +I agree,,5,3,5,2,5,4,5,5,4,5,5,3,5,4,5,5,5,2,4,5,3,5,3,5,5,4,4,5,5,5,5,5,5,3,5,5,3,5,4,5,5,5,3,5,Hip Hop +I agree,,3,1,3,2,4,5,4,3,4,5,4,2,5,2,4,4,5,1,1,3,3,4,2,4,4,3,3,5,2,4,2,5,3,5,3,3,3,3,1,3,5,4,2,3,Dancehall +I agree,,5,3,3,1,5,1,5,3,4,5,5,3,4,5,5,5,5,4,2,5,1,4,4,4,5,2,3,2,5,5,1,5,5,4,1,5,4,4,4,4,4,4,4,5,Popping +I agree,,1,1,3,4,5,3,5,3,2,4,3,1,5,4,5,5,2,4,4,5,2,,3,3,2,3,4,5,5,5,5,5,5,5,3,3,2,3,4,4,5,4,2,5,Dancehall +I agree,,4,4,4,3,2,4,5,2,3,5,4,3,4,4,4,3,4,1,4,4,4,5,2,4,4,4,2,5,3,4,4,5,4,4,5,3,2,4,3,4,4,4,2,4,Hip Hop +I agree,,3,1,5,2,4,4,4,5,3,5,4,1,5,4,5,5,3,5,5,5,3,5,5,4,5,5,2,2,4,5,4,5,5,3,1,4,2,4,5,4,5,5,2,5,Hip Hop +I agree,,5,5,3,2,4,3,3,3,4,5,5,3,3,3,5,5,4,5,5,5,2,5,5,1,5,5,5,2,5,3,3,4,4,1,1,5,4,1,5,5,5,4,5,5,Hip Hop +I agree,,5,1,3,4,4,4,4,1,2,5,5,4,3,3,5,5,5,2,5,5,3,5,5,2,4,4,3,3,4,5,2,4,3,4,2,5,2,4,5,5,5,4,4,3,Hip Hop +I agree,,4,3,4,2,4,3,4,3,4,5,4,3,4,2,4,4,4,2,3,3,3,4,2,2,4,4,3,4,3,3,2,4,4,4,3,4,2,4,2,4,3,4,2,3,House +I agree,,4,3,3,4,4,3,4,3,3,3,3,,4,,4,3,5,4,5,3,5,3,5,3,5,3,5,3,4,5,4,3,5,4,5,4,5,4,,3,5,5,4,4,Dancehall +I agree,,4,3,3,3,4,2,4,2,2,4,4,3,3,3,4,4,4,3,4,4,2,4,4,2,4,3,2,3,4,4,2,4,3,2,2,3,3,3,3,4,4,4,4,3,Dancehall +I agree,,4,3,5,3,4,3,5,3,3,4,4,2,3,3,5,4,4,2,4,4,3,4,3,2,4,4,3,5,4,5,3,5,4,3,2,3,3,4,3,4,5,4,2,5,Hip Hop +I agree,,4,1,3,1,4,3,5,2,5,5,5,1,5,2,3,4,5,4,1,4,1,4,1,4,4,4,2,5,3,5,3,5,4,4,1,5,2,3,2,4,1,5,3,3,Dancehall +I agree,,2,2,4,3,4,5,3,4,3,5,3,1,5,5,3,4,3,3,5,4,5,4,3,4,4,4,2,4,3,5,4,3,4,2,4,3,2,3,5,5,5,4,3,3,Hip Hop +I agree,,5,3,3,1,5,3,5,3,4,5,5,3,4,3,4,5,1,1,2,5,2,5,3,3,5,3,3,5,5,5,1,3,5,3,3,3,4,5,5,5,5,5,3,5,House +I agree,,3,2,5,1,3,3,5,2,2,4,4,1,5,3,5,3,2,1,3,3,3,2,1,4,3,4,3,5,4,5,2,4,5,3,3,3,2,3,3,5,,,5,3,Hip Hop +I agree,,5,2,5,1,4,3,3,3,2,4,5,1,5,4,4,4,4,3,3,5,4,3,3,2,3,2,2,4,4,4,4,4,4,3,2,3,1,4,3,3,1,3,5,4,Vogue +I agree,,3,4,5,2,4,3,5,4,2,4,3,3,4,4,4,3,5,2,5,5,3,4,3,3,4,3,4,4,5,5,5,4,3,3,4,3,2,4,5,3,2,3,2,3,Dancehall +I agree,,4,1,3,1,4,2,5,3,2,5,5,1,4,4,3,5,5,3,4,5,2,5,2,2,4,4,2,4,3,5,3,5,4,2,3,4,1,4,4,4,5,4,5,5,Hip Hop +I agree,,2,1,4,1,4,3,5,2,5,4,4,1,4,2,3,4,5,3,2,4,3,5,3,4,4,3,2,4,3,5,4,5,4,4,2,3,1,4,3,4,4,4,2,5,Popping +I agree,,5,4,2,3,5,1,3,4,2,5,5,2,4,3,4,5,3,4,5,5,2,4,4,3,5,3,1,4,2,5,1,4,4,2,4,4,1,3,3,4,1,4,4,4,Breaking +I agree,,3,3,3,,5,1,5,,5,5,4,3,5,3,5,5,5,1,3,5,5,5,2,5,5,3,3,5,4,5,5,5,5,5,5,5,3,5,1,5,5,5,2,5,Breaking +I agree,,4,3,4,3,5,3,3,1,1,4,2,1,5,5,4,4,5,5,5,5,2,4,2,2,5,5,4,5,4,5,4,5,4,3,3,3,2,4,4,4,1,2,4,5,Dancehall +I agree,,4,3,5,2,5,3,4,4,2,5,3,2,3,3,5,5,5,5,5,5,3,5,5,2,4,2,1,3,4,5,5,5,5,3,1,5,2,4,2,3,5,5,5,5,Vogue +I agree,,3,1,5,4,5,3,5,2,3,4,3,1,5,3,5,5,5,5,5,5,5,4,3,1,3,3,1,2,2,5,5,5,5,3,5,3,1,3,3,4,5,3,4,3,Dancehall +I agree,,4,2,5,2,3,4,5,2,1,5,2,1,4,5,4,4,4,2,5,3,3,4,3,3,3,2,4,5,5,5,5,5,5,3,2,5,2,4,4,3,2,5,3,5,Dancehall +I agree,,5,3,3,1,3,2,4,2,2,4,4,2,4,3,5,4,3,3,3,4,2,5,3,3,3,3,2,4,4,5,2,5,4,3,2,5,2,5,5,5,2,4,5,5,Dancehall +I agree,,4,2,5,2,4,3,4,2,4,5,4,2,5,3,5,4,2,1,4,5,2,4,1,2,4,2,3,4,4,4,4,5,4,3,4,4,2,3,4,4,5,4,2,2,Hip Hop +I agree,,,,,,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Hip Hop +I agree,,3,3,4,2,4,4,3,3,3,3,3,3,3,4,3,3,3,3,3,4,3,3,,3,3,3,3,4,4,4,4,3,3,3,3,3,4,4,3,4,3,3,3,4,Hip Hop +I agree,,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,Breaking +I agree,,4,2,3,2,3,4,5,2,3,4,4,3,3,4,4,4,4,4,4,3,3,4,5,3,3,4,2,2,4,4,4,5,3,2,4,4,2,4,4,4,4,4,4,4,Hip Hop +I agree,,4,2,3,3,5,4,4,4,3,4,4,1,4,4,5,3,5,3,2,4,4,4,2,3,3,4,3,3,4,2,4,4,3,4,2,5,2,4,3,4,1,4,3,3,Breaking +I agree,,4,1,3,1,4,4,4,2,3,4,4,1,5,4,4,4,4,2,4,4,4,5,3,3,4,3,4,4,4,5,2,4,4,4,2,4,2,4,3,4,1,4,1,4,Dancehall +I agree,,4,3,3,2,4,4,3,4,1,5,4,2,4,5,4,4,5,4,4,4,2,4,3,2,4,3,3,2,4,4,4,4,2,2,3,4,3,4,2,3,3,4,4,2,Hip Hop +I agree,,4,2,3,3,4,2,3,4,3,2,2,,3,3,4,4,4,3,3,3,1,2,3,3,3,3,4,4,5,5,4,1,3,3,1,1,4,4,3,1,2,4,1,5,Dancehall +I agree,,5,2,4,3,4,3,5,3,5,5,5,2,4,3,5,5,5,1,5,5,2,5,3,2,4,4,2,4,5,5,5,5,4,3,2,5,2,4,4,5,5,4,3,5,Breaking +I agree,,4,3,4,1,4,3,5,2,2,5,5,1,5,4,3,4,4,1,5,5,2,3,2,3,5,3,3,5,5,5,5,5,5,2,5,5,2,5,5,4,1,5,2,2,Dancehall +I agree,,5,2,2,2,5,4,4,3,1,5,5,2,3,4,4,5,3,3,4,5,2,5,3,2,5,3,4,5,5,,4,3,4,5,5,5,5,3,4,5,5,5,5,5,Dancehall +I agree,,4,5,3,2,4,3,2,4,2,5,4,4,3,4,5,4,4,4,5,5,3,4,4,3,4,5,5,4,5,5,3,3,3,2,4,4,5,3,4,5,1,3,4,5,Vogue +I agree,,3,2,2,4,5,2,5,2,4,4,4,1,3,3,5,3,5,5,2,4,4,4,3,5,5,4,2,2,4,5,4,5,5,2,2,4,1,2,4,5,5,3,5,4,Dancehall +I agree,,3,1,4,2,4,2,4,1,1,5,5,1,5,2,4,5,5,2,5,5,1,5,3,1,5,5,2,3,4,5,4,5,4,2,1,5,1,2,5,5,1,5,4,5,Vogue +I agree,,5,3,5,3,4,2,4,4,2,5,5,1,5,4,4,5,3,2,3,5,2,3,3,3,4,3,3,4,3,5,2,5,5,4,2,5,2,4,2,5,5,4,3,4,Dancehall +I agree,,4,,3,4,4,4,5,2,2,4,5,1,4,4,4,5,4,4,5,5,4,5,2,2,3,2,2,4,3,4,4,5,3,3,4,3,2,4,4,4,4,4,5,3,Hip Hop +I agree,,5,3,4,1,5,3,3,3,4,4,5,3,3,3,2,5,3,2,2,3,1,3,2,3,4,5,3,4,3,5,2,4,5,5,1,5,1,4,1,4,5,5,2,5,Hip Hop +I agree,,3,4,3,4,3,2,4,3,1,5,4,2,4,4,4,5,5,5,5,4,2,5,5,2,4,3,1,4,5,5,5,5,4,4,1,4,2,5,4,4,3,4,5,4,Breaking +I agree,,1,2,3,4,2,5,3,2,5,2,2,3,2,2,1,2,3,2,1,2,5,2,2,5,3,1,2,4,2,1,4,2,2,3,2,1,3,2,3,1,4,2,1,1,Hip Hop +I agree,,4,2,3,2,5,2,5,4,3,5,4,4,4,4,4,4,5,5,5,4,2,4,3,4,5,3,4,3,4,5,2,2,4,4,2,4,3,1,1,4,5,4,5,5,Vogue +I agree,,5,3,4,4,4,2,3,3,3,4,5,2,4,4,3,5,4,2,4,4,2,4,2,4,3,4,2,4,3,4,2,3,4,4,3,5,2,3,3,3,1,4,3,5,Hip Hop +I agree,,4,2,3,2,3,2,4,4,3,3,3,1,3,4,3,3,2,4,3,3,2,2,4,4,3,4,4,2,3,4,2,3,4,3,2,4,2,4,2,2,3,3,4,2,Hip Hop