AnaliseDadosGitHub.ipynb

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    "# ❀ Trabalho de Conclusão de Curso ❀\n",
    "\n",
    "**Tema:** Relevância Temática dos Comentários e Diversidade de Gênero em Projetos OSS\n",
    "\n",
    "**Descrição:** Considerando a natureza colaborativa do desenvolvimento de software, as equipes podem ser formadas por pessoas de diversas culturas, idades, nacionalidades e gêneros, de forma que as equipes que possuem maior diversidade social podem aproveitar de informações mais amplas, experiências e ideias mais variadas e habilidades aprimoradas de resolução de problemas, tornando-se, portanto, mais eficazes. Porém, apesar de sabermos que a diversidade é benefíco durante o desenvolvimento de software, temos que a presença feminina é baixa, tanto em contribuições, quanto em número de membros. Visto isso, o trabalho aqui busca realizar um estudo que aponte questões sobre a participação feminina em tópicos de discussão, como as issues do GitHub."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b4caaee6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importando as Bibliotecas Necessárias\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Importando o Arquivo Usado\n",
    "dados = pd.read_csv('dadosGitHubComentarios.csv', index_col=None, header=0)\n",
    "dadosIssues = pd.read_csv('dadosGitHubIssues.csv', index_col=None, header=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7d00b364",
   "metadata": {},
   "outputs": [],
   "source": [
    "dados.loc[dados['Genero'] == \"female\", 'Genero'] = 'Feminino'\n",
    "dados.loc[dados['Genero'] == \"male\", 'Genero'] = 'Masculino'\n",
    "dados.loc[dados['Genero'] == \"None\", 'Genero'] = 'Não Identificado'\n",
    "dados.loc[dados['Genero'] == \"bot\", 'Genero'] = 'Bots'\n",
    "\n",
    "dadosIssues.loc[dadosIssues['Genero'] == \"female\", 'Genero'] = 'Feminino'\n",
    "dadosIssues.loc[dadosIssues['Genero'] == \"male\", 'Genero'] = 'Masculino'\n",
    "dadosIssues.loc[dadosIssues['Genero'] == \"None\", 'Genero'] = 'Não Identificado'\n",
    "dadosIssues.loc[dadosIssues['Genero'] == \"bot\", 'Genero'] = 'Bots'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0b838802",
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   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NumeroIssue</th>\n",
       "      <th>TituloIssue</th>\n",
       "      <th>DescricaoIssue</th>\n",
       "      <th>CriacaoIssue</th>\n",
       "      <th>NumeroComentario</th>\n",
       "      <th>Comentario</th>\n",
       "      <th>DataComentario</th>\n",
       "      <th>RelevanciaTematica</th>\n",
       "      <th>Reputacao</th>\n",
       "      <th>AnosPlataforma</th>\n",
       "      <th>Genero</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2126</td>\n",
       "      <td>Update dependency @types/node to v16</td>\n",
       "      <td>[![WhiteSource Renovate](https://app.renovateb...</td>\n",
       "      <td>2021-10-26T13:26:17Z</td>\n",
       "      <td>951954780</td>\n",
       "      <td># [Codecov](https://codecov.io/gh/mozilla/addo...</td>\n",
       "      <td>2021-10-26T13:43:54Z</td>\n",
       "      <td>0.088300</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Não Identificado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2126</td>\n",
       "      <td>Update dependency @types/node to v16</td>\n",
       "      <td>[![WhiteSource Renovate](https://app.renovateb...</td>\n",
       "      <td>2021-10-26T13:26:17Z</td>\n",
       "      <td>951965911</td>\n",
       "      <td>@willdurand I believe we are on node v14, so s...</td>\n",
       "      <td>2021-10-26T13:55:51Z</td>\n",
       "      <td>0.014058</td>\n",
       "      <td>75</td>\n",
       "      <td>13</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2126</td>\n",
       "      <td>Update dependency @types/node to v16</td>\n",
       "      <td>[![WhiteSource Renovate](https://app.renovateb...</td>\n",
       "      <td>2021-10-26T13:26:17Z</td>\n",
       "      <td>984926548</td>\n",
       "      <td>&gt; @willdurand I believe we are on node v14, so...</td>\n",
       "      <td>2021-12-02T19:16:52Z</td>\n",
       "      <td>0.029444</td>\n",
       "      <td>1676</td>\n",
       "      <td>12</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2126</td>\n",
       "      <td>Update dependency @types/node to v16</td>\n",
       "      <td>[![WhiteSource Renovate](https://app.renovateb...</td>\n",
       "      <td>2021-10-26T13:26:17Z</td>\n",
       "      <td>984944808</td>\n",
       "      <td>&gt;&gt; @willdurand I believe we are on node v14, s...</td>\n",
       "      <td>2021-12-02T19:42:19Z</td>\n",
       "      <td>0.061814</td>\n",
       "      <td>75</td>\n",
       "      <td>13</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1897</td>\n",
       "      <td>[Review Tools] No Need to Process \"Known JS li...</td>\n",
       "      <td>Currently, the review tools processes and synt...</td>\n",
       "      <td>2021-03-19T12:06:10Z</td>\n",
       "      <td>802829620</td>\n",
       "      <td>Should this be an addons-code-manager issue, o...</td>\n",
       "      <td>2021-03-19T13:23:39Z</td>\n",
       "      <td>0.038175</td>\n",
       "      <td>75</td>\n",
       "      <td>13</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9146</th>\n",
       "      <td>330</td>\n",
       "      <td>Remove chat fragments and pagerview from Event...</td>\n",
       "      <td>EventChatFragment\\nTopicChatFragment\\n</td>\n",
       "      <td>2015-12-30T02:45:10Z</td>\n",
       "      <td>172167498</td>\n",
       "      <td>@shehbashahab lightning fast :zap: :facepunch: \\n</td>\n",
       "      <td>2016-01-16T07:04:16Z</td>\n",
       "      <td>0.000185</td>\n",
       "      <td>136</td>\n",
       "      <td>10</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9147</th>\n",
       "      <td>279</td>\n",
       "      <td>posts: when a user adds a new post, scroll to ...</td>\n",
       "      <td>- this requires passing the post back to the p...</td>\n",
       "      <td>2015-11-13T22:50:19Z</td>\n",
       "      <td>169553103</td>\n",
       "      <td>@RoyPuja noticing you are assigned. Are you ac...</td>\n",
       "      <td>2016-01-07T05:12:20Z</td>\n",
       "      <td>0.016483</td>\n",
       "      <td>136</td>\n",
       "      <td>10</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9148</th>\n",
       "      <td>279</td>\n",
       "      <td>posts: when a user adds a new post, scroll to ...</td>\n",
       "      <td>- this requires passing the post back to the p...</td>\n",
       "      <td>2015-11-13T22:50:19Z</td>\n",
       "      <td>169566773</td>\n",
       "      <td>Yes,I am.\\n</td>\n",
       "      <td>2016-01-07T06:27:17Z</td>\n",
       "      <td>0.000182</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9149</th>\n",
       "      <td>279</td>\n",
       "      <td>posts: when a user adds a new post, scroll to ...</td>\n",
       "      <td>- this requires passing the post back to the p...</td>\n",
       "      <td>2015-11-13T22:50:19Z</td>\n",
       "      <td>170394129</td>\n",
       "      <td>This works for text posts.@zassmin,@shehbashah...</td>\n",
       "      <td>2016-01-10T21:09:59Z</td>\n",
       "      <td>0.024899</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9150</th>\n",
       "      <td>279</td>\n",
       "      <td>posts: when a user adds a new post, scroll to ...</td>\n",
       "      <td>- this requires passing the post back to the p...</td>\n",
       "      <td>2015-11-13T22:50:19Z</td>\n",
       "      <td>170696071</td>\n",
       "      <td>Checked for the post with picture.\\n</td>\n",
       "      <td>2016-01-11T21:30:26Z</td>\n",
       "      <td>0.023619</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9151 rows × 11 columns</p>\n",
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      ],
      "text/plain": [
       "      NumeroIssue                                        TituloIssue  \\\n",
       "0            2126               Update dependency @types/node to v16   \n",
       "1            2126               Update dependency @types/node to v16   \n",
       "2            2126               Update dependency @types/node to v16   \n",
       "3            2126               Update dependency @types/node to v16   \n",
       "4            1897  [Review Tools] No Need to Process \"Known JS li...   \n",
       "...           ...                                                ...   \n",
       "9146          330  Remove chat fragments and pagerview from Event...   \n",
       "9147          279  posts: when a user adds a new post, scroll to ...   \n",
       "9148          279  posts: when a user adds a new post, scroll to ...   \n",
       "9149          279  posts: when a user adds a new post, scroll to ...   \n",
       "9150          279  posts: when a user adds a new post, scroll to ...   \n",
       "\n",
       "                                         DescricaoIssue          CriacaoIssue  \\\n",
       "0     [![WhiteSource Renovate](https://app.renovateb...  2021-10-26T13:26:17Z   \n",
       "1     [![WhiteSource Renovate](https://app.renovateb...  2021-10-26T13:26:17Z   \n",
       "2     [![WhiteSource Renovate](https://app.renovateb...  2021-10-26T13:26:17Z   \n",
       "3     [![WhiteSource Renovate](https://app.renovateb...  2021-10-26T13:26:17Z   \n",
       "4     Currently, the review tools processes and synt...  2021-03-19T12:06:10Z   \n",
       "...                                                 ...                   ...   \n",
       "9146             EventChatFragment\\nTopicChatFragment\\n  2015-12-30T02:45:10Z   \n",
       "9147  - this requires passing the post back to the p...  2015-11-13T22:50:19Z   \n",
       "9148  - this requires passing the post back to the p...  2015-11-13T22:50:19Z   \n",
       "9149  - this requires passing the post back to the p...  2015-11-13T22:50:19Z   \n",
       "9150  - this requires passing the post back to the p...  2015-11-13T22:50:19Z   \n",
       "\n",
       "      NumeroComentario                                         Comentario  \\\n",
       "0            951954780  # [Codecov](https://codecov.io/gh/mozilla/addo...   \n",
       "1            951965911  @willdurand I believe we are on node v14, so s...   \n",
       "2            984926548  > @willdurand I believe we are on node v14, so...   \n",
       "3            984944808  >> @willdurand I believe we are on node v14, s...   \n",
       "4            802829620  Should this be an addons-code-manager issue, o...   \n",
       "...                ...                                                ...   \n",
       "9146         172167498  @shehbashahab lightning fast :zap: :facepunch: \\n   \n",
       "9147         169553103  @RoyPuja noticing you are assigned. Are you ac...   \n",
       "9148         169566773                                        Yes,I am.\\n   \n",
       "9149         170394129  This works for text posts.@zassmin,@shehbashah...   \n",
       "9150         170696071               Checked for the post with picture.\\n   \n",
       "\n",
       "            DataComentario  RelevanciaTematica  Reputacao  AnosPlataforma  \\\n",
       "0     2021-10-26T13:43:54Z            0.088300          0               6   \n",
       "1     2021-10-26T13:55:51Z            0.014058         75              13   \n",
       "2     2021-12-02T19:16:52Z            0.029444       1676              12   \n",
       "3     2021-12-02T19:42:19Z            0.061814         75              13   \n",
       "4     2021-03-19T13:23:39Z            0.038175         75              13   \n",
       "...                    ...                 ...        ...             ...   \n",
       "9146  2016-01-16T07:04:16Z            0.000185        136              10   \n",
       "9147  2016-01-07T05:12:20Z            0.016483        136              10   \n",
       "9148  2016-01-07T06:27:17Z            0.000182          4               7   \n",
       "9149  2016-01-10T21:09:59Z            0.024899          4               7   \n",
       "9150  2016-01-11T21:30:26Z            0.023619          4               7   \n",
       "\n",
       "                Genero  \n",
       "0     Não Identificado  \n",
       "1            Masculino  \n",
       "2            Masculino  \n",
       "3            Masculino  \n",
       "4            Masculino  \n",
       "...                ...  \n",
       "9146         Masculino  \n",
       "9147         Masculino  \n",
       "9148         Masculino  \n",
       "9149         Masculino  \n",
       "9150         Masculino  \n",
       "\n",
       "[9151 rows x 11 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dados"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03faa2be",
   "metadata": {},
   "source": [
    "Com os Dados então inseridos, contando com todos os campos necessários para as análises, temos que iremos gerar gráficos, tabelas, entre outros para verificar as respostas para as perguntas apresentadas acima.\n",
    "\n",
    "#### 🟣 **1.** Existe diferença entre a relevância dos comentários postados por homens e mulheres?\n",
    "\n",
    "Para poder verificar a diferença entre a relevância dos comentários postados por homens e mulheres, basta fazer uma média aritmética com a filtragem dos mesmos. Neste caso, temos então as médias:\n",
    "\n",
    "**Homens:** 0.04\n",
    "\n",
    "**Mulheres:** 0.03\n",
    "\n",
    "Além disso, foi feito um gráfico, para verificar esse intervalo, e se eles continham muitos outlier. E nesse caso, foi possível notar que os homens continham mais outlier que as mulheres, possuindo como nota máxima na escala de 0 a 1 a nota 0.7, enquanto as mulheres tem como nota máxima cerca de 0.5. Considerando que a escala tem um intervalo relativamente pequeno é possível notar que temos uma diferença consideravél entre a relevância de comentários postados por homens e mulheres."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "56c3e126",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Homens:  nan\n",
      "Mulheres:  nan\n"
     ]
    }
   ],
   "source": [
    "mediaHomens = float(dados[dados['Genero'] == 'male'][['RelevanciaTematica']].mean())\n",
    "mediaMulheres = float(dados[dados['Genero'] == 'female'][['RelevanciaTematica']].mean())\n",
    "\n",
    "print('Homens: {0: .5f}'.format(mediaHomens))\n",
    "print('Mulheres: {0: .5f}'.format(mediaMulheres))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "405b4cad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Gênero'), Text(0, 0.5, 'Relevância Temática')]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=dados, x='Genero', y='RelevanciaTematica', palette=\"PuRd\").set(xlabel='Gênero', ylabel='Relevância Temática')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "da23448c",
   "metadata": {},
   "outputs": [],
   "source": [
    "li = [dados[:216], dados[216:462], dados[462:667], dados[667:1034], dados[1034:1804], dados[1885:2088], dados[2113:2282], \n",
    "      dados[2539:2892], dados[2892:2932], dados[3171:3395], dados[3620:3707], dados[3707:4092], dados[4110:4620], \n",
    "     dados[4620:4975], dados[4975:5188], dados[5943:7715], dados[7715:9047]]\n",
    "comunidadesAbertas = pd.concat(li, axis=0, ignore_index=True)\n",
    "li = [dados[1804:1885], dados[2088:2113], dados[2113:2539], dados[2932:3060], dados[3060:3091], dados[3091:3141], dados[3091:3171],\n",
    "     dados[3395:3517], dados[3517:3620], dados[4092:4110], dados[5188:5943], dados[9047::]]                                       \n",
    "comunidadesExclusivas = pd.concat(li, axis=0, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d821d7f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Gênero'), Text(0, 0.5, 'Relevância Temática')]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "comunidadesAbertas.loc[comunidadesAbertas['Genero'] == \"female\", 'Genero'] = 'Feminino'\n",
    "comunidadesAbertas.loc[comunidadesAbertas['Genero'] == \"male\", 'Genero'] = 'Masculino'\n",
    "comunidadesAbertas.loc[comunidadesAbertas['Genero'] == \"None\", 'Genero'] = 'Não Identificado'\n",
    "comunidadesAbertas.loc[comunidadesAbertas['Genero'] == \"bot\", 'Genero'] = 'Bots'\n",
    "sns.set_palette(['lightcoral', 'cornflowerblue', 'mediumvioletred','c'])\n",
    "sns.color_palette(\"rocket\")\n",
    "sns.boxplot(data=comunidadesAbertas, x='Genero', y='RelevanciaTematica').set(xlabel='Gênero', ylabel='Relevância Temática')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "52efc68f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Gênero'), Text(0, 0.5, 'Relevância Temática')]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "comunidadesExclusivas.loc[comunidadesExclusivas['Genero'] == \"female\", 'Genero'] = 'Feminino'\n",
    "comunidadesExclusivas.loc[comunidadesExclusivas['Genero'] == \"male\", 'Genero'] = 'Masculino'\n",
    "comunidadesExclusivas.loc[comunidadesExclusivas['Genero'] == \"None\", 'Genero'] = 'Não Identificado'\n",
    "comunidadesExclusivas.loc[comunidadesExclusivas['Genero'] == \"bot\", 'Genero'] = 'Bots'\n",
    "sns.set_palette(['mediumvioletred', 'lightcoral', 'cornflowerblue'])\n",
    "sns.boxplot(data=comunidadesExclusivas, x='Genero', y='RelevanciaTematica').set(xlabel='Gênero', ylabel='Relevância Temática')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0903b472",
   "metadata": {},
   "source": [
    "#### 🔵 **2.** Existe relação entre a relevância dos comentários e a reputação do autor?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "04a65bbd",
   "metadata": {},
   "outputs": [],
   "source": [
    "dados = dados.round({\"RelevanciaTematica\":1})\n",
    "dadosPlot = dados[dados.Genero != 'Não Identificado']\n",
    "dadosPlot = dadosPlot[dadosPlot.Genero != 'Bots']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "99235809",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Relevância Temática'), Text(0, 0.5, 'Reputação'), None]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='RelevanciaTematica', y='Reputacao', palette=\"rocket\", alpha=0.7, data=dadosPlot, hue='Genero').set(xlabel='Relevância Temática', ylabel='Reputação', yscale='log')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9c178784",
   "metadata": {},
   "outputs": [],
   "source": [
    "comunidadesAbertas = comunidadesAbertas.round({\"RelevanciaTematica\":1})\n",
    "comunidadesExclusivas = comunidadesExclusivas[comunidadesExclusivas.Genero != 'Bots']\n",
    "comunidadesExclusivas = comunidadesExclusivas.round({\"RelevanciaTematica\":1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8153b121",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Relevância Temática'), Text(0, 0.5, 'Reputação'), None]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='RelevanciaTematica', y='Reputacao', palette=\"rocket\", alpha=0.7, data=comunidadesAbertas, hue='Genero').set(xlabel='Relevância Temática', ylabel='Reputação', yscale='log')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c72c567b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Relevância Temática'), Text(0, 0.5, 'Reputação'), None]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='RelevanciaTematica', y='Reputacao', palette=\"rocket\", alpha=0.7, data=comunidadesExclusivas, hue='Genero').set(xlabel='Relevância Temática', ylabel='Reputação', yscale='log')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f6e062e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Reputacao</th>\n",
       "      <th>RelevanciaTematica</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Reputacao</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.044377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RelevanciaTematica</th>\n",
       "      <td>-0.044377</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Reputacao  RelevanciaTematica\n",
       "Reputacao            1.000000           -0.044377\n",
       "RelevanciaTematica  -0.044377            1.000000"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Correlação entrr a Reputação e a Relevância Temática\n",
    "dados[['Reputacao', 'RelevanciaTematica']].corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db7787f4",
   "metadata": {},
   "source": [
    "#### ⚪️ **3.** Existe relação entre a relevância dos comentários e o tempo de participação na plataforma?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d0ace360",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Relevância Temática'), Text(0, 0.5, 'Anos na Plataforma')]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='RelevanciaTematica', y='AnosPlataforma', palette=\"rocket\", alpha=0.7, data=dadosPlot, hue='Genero').set(xlabel='Relevância Temática', ylabel='Anos na Plataforma')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9d9c85c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "comunidadesAbertas = comunidadesAbertas.round({\"RelevanciaTematica\":1})\n",
    "comunidadesExclusivas = comunidadesExclusivas.round({\"RelevanciaTematica\":1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1d5b44cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Relevância Temática'), Text(0, 0.5, 'Anos na Plataforma')]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='RelevanciaTematica', y='AnosPlataforma', palette=\"rocket\", alpha=0.7, data=comunidadesAbertas, hue='Genero').set(xlabel='Relevância Temática', ylabel='Anos na Plataforma')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "31a80a19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Relevância Temática'), Text(0, 0.5, 'Anos na Plataforma')]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='RelevanciaTematica', y='AnosPlataforma', palette=\"rocket\", alpha=0.7, data=comunidadesExclusivas, hue='Genero').set(xlabel='Relevância Temática', ylabel='Anos na Plataforma')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ca356d16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AnosPlataforma</th>\n",
       "      <th>RelevanciaTematica</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AnosPlataforma</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.054152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RelevanciaTematica</th>\n",
       "      <td>-0.054152</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    AnosPlataforma  RelevanciaTematica\n",
       "AnosPlataforma            1.000000           -0.054152\n",
       "RelevanciaTematica       -0.054152            1.000000"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Correlação entre os Anos de Participação e a Relevância Temática\n",
    "dados[['AnosPlataforma', 'RelevanciaTematica']].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "adfb3e91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AnosPlataforma</th>\n",
       "      <th>Reputacao</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AnosPlataforma</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.248564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reputacao</th>\n",
       "      <td>0.248564</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                AnosPlataforma  Reputacao\n",
       "AnosPlataforma        1.000000   0.248564\n",
       "Reputacao             0.248564   1.000000"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Correlação entre os Anos de Participação e Reputação\n",
    "dados[['AnosPlataforma', 'Reputacao']].corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3461bbb",
   "metadata": {},
   "source": [
    "#### 🟡 **4.** Qual a diferença entre número de tópicos postados por homens e mulheres?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c690d65f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de Issues Feitas por Homens: 0\n",
      "Número de Issues Feitas por Mulheres: 0\n"
     ]
    }
   ],
   "source": [
    "issuesHomens = int(dadosIssues[dadosIssues['Genero'] == 'male'][['NumeroIssue']].count())\n",
    "issuesMulheres = int(dadosIssues[dadosIssues['Genero'] == 'female'][['NumeroIssue']].count())\n",
    "\n",
    "print('Número de Issues Feitas por Homens: '+str(issuesHomens))\n",
    "print('Número de Issues Feitas por Mulheres: '+str(issuesMulheres))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "279553c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Gênero'), Text(0, 0.5, 'Issues Reportadas')]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_palette(sns.color_palette(\"rocket\", 1))\n",
    "sns.histplot(data=dadosIssues, x='Genero').set(xlabel='Gênero', ylabel='Issues Reportadas')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d48c6fb0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de Issues Feitas por Homens: 0\n",
      "Número de Issues Feitas por Mulheres: 0\n"
     ]
    }
   ],
   "source": [
    "dadosIssues = dadosIssues[214::]\n",
    "issuesHomens = int(dadosIssues[dadosIssues['Genero'] == 'male'][['NumeroIssue']].count())\n",
    "issuesMulheres = int(dadosIssues[dadosIssues['Genero'] == 'female'][['NumeroIssue']].count())\n",
    "\n",
    "print('Número de Issues Feitas por Homens: '+str(issuesHomens))\n",
    "print('Número de Issues Feitas por Mulheres: '+str(issuesMulheres))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c3e2acc1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de Issues Feitas por Homens: 112\n",
      "Número de Issues Feitas por Mulheres: 102\n"
     ]
    }
   ],
   "source": [
    "dadosIssues = pd.read_csv('dadosGitHubIssues.csv', index_col=None, header=0)\n",
    "dadosIssues = dadosIssues[:214]\n",
    "issuesHomens = int(dadosIssues[dadosIssues['Genero'] == 'male'][['NumeroIssue']].count())\n",
    "issuesMulheres = int(dadosIssues[dadosIssues['Genero'] == 'female'][['NumeroIssue']].count())\n",
    "\n",
    "print('Número de Issues Feitas por Homens: '+str(issuesHomens))\n",
    "print('Número de Issues Feitas por Mulheres: '+str(issuesMulheres))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88c49f76",
   "metadata": {},
   "source": [
    "#### 🟠 **5**. Qual a diferença entre número de comentários postados por homens e mulheres?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c0ad8ee4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de Comentários Feitos por Homens: 0\n",
      "Número de Comentários Feitos por Mulheres: 0\n",
      "Número de Comentários Feitos sem Identificação: 0\n",
      "Número de Comentários Feitos por Bots: 0\n"
     ]
    }
   ],
   "source": [
    "comentariosHomens = int(dados[dados['Genero'] == 'male'][['RelevanciaTematica']].count())\n",
    "comentariosMulheres = int(dados[dados['Genero'] == 'female'][['RelevanciaTematica']].count())\n",
    "comentariosNone = int(dados[dados['Genero'] == 'None'][['RelevanciaTematica']].count())\n",
    "comentariosBot = int(dados[dados['Genero'] == 'bot'][['RelevanciaTematica']].count())\n",
    "\n",
    "print('Número de Comentários Feitos por Homens: '+str(comentariosHomens))\n",
    "print('Número de Comentários Feitos por Mulheres: '+str(comentariosMulheres))\n",
    "print('Número de Comentários Feitos sem Identificação: '+str(comentariosNone))\n",
    "print('Número de Comentários Feitos por Bots: '+str(comentariosBot))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9a30dae5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Gênero'), Text(0, 0.5, 'Comentários Feitos')]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_palette(sns.color_palette(\"rocket\", 1))\n",
    "sns.histplot(data=dados, x='Genero').set(xlabel='Gênero', ylabel='Comentários Feitos')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "91abc889",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de Comentários Feitos por Homens: 0\n",
      "Número de Comentários Feitos por Mulheres: 0\n",
      "Número de Comentários Feitos sem Identificação: 0\n",
      "Número de Comentários Feitos por Bots: 0\n"
     ]
    }
   ],
   "source": [
    "comentariosHomens = int(comunidadesAbertas[comunidadesAbertas['Genero'] == 'male'][['RelevanciaTematica']].count())\n",
    "comentariosMulheres = int(comunidadesAbertas[comunidadesAbertas['Genero'] == 'female'][['RelevanciaTematica']].count())\n",
    "comentariosNone = int(comunidadesAbertas[comunidadesAbertas['Genero'] == 'None'][['RelevanciaTematica']].count())\n",
    "comentariosBot = int(comunidadesAbertas[comunidadesAbertas['Genero'] == 'bot'][['RelevanciaTematica']].count())\n",
    "\n",
    "print('Número de Comentários Feitos por Homens: '+str(comentariosHomens))\n",
    "print('Número de Comentários Feitos por Mulheres: '+str(comentariosMulheres))\n",
    "print('Número de Comentários Feitos sem Identificação: '+str(comentariosNone))\n",
    "print('Número de Comentários Feitos por Bots: '+str(comentariosBot))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c84f4c4f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de Comentários Feitos por Homens: 0\n",
      "Número de Comentários Feitos por Mulheres: 0\n",
      "Número de Comentários Feitos sem Identificação: 0\n",
      "Número de Comentários Feitos por Bots: 0\n"
     ]
    }
   ],
   "source": [
    "comentariosHomens = int(comunidadesExclusivas[comunidadesExclusivas['Genero'] == 'male'][['RelevanciaTematica']].count())\n",
    "comentariosMulheres = int(comunidadesExclusivas[comunidadesExclusivas['Genero'] == 'female'][['RelevanciaTematica']].count())\n",
    "comentariosNone = int(comunidadesExclusivas[comunidadesExclusivas['Genero'] == 'None'][['RelevanciaTematica']].count())\n",
    "comentariosBot = int(comunidadesExclusivas[comunidadesExclusivas['Genero'] == 'bot'][['RelevanciaTematica']].count())\n",
    "\n",
    "print('Número de Comentários Feitos por Homens: '+str(comentariosHomens))\n",
    "print('Número de Comentários Feitos por Mulheres: '+str(comentariosMulheres))\n",
    "print('Número de Comentários Feitos sem Identificação: '+str(comentariosNone))\n",
    "print('Número de Comentários Feitos por Bots: '+str(comentariosBot))"
   ]
  }
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