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@csokaimola
Last active April 30, 2023 12:53
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Executive summary\n",
"## Software usage\n",
"By far the most popular software among the respondents is Stata. Matlab, R and Python are also frequently used, but just about half as popular as Stata.\n",
"## Tool awareness and usage\n",
"The distribution of awareness of the different tools shows, that we can distinguish between 3 'groups':\n",
"\n",
" * widely known tools: Dropbox, latex, Google Drive, beamer and GitHub\n",
" * moderate: OverLeaf, Jupyter Notebook, git, SQL and bash\n",
" * less known: make, AWS EC2, Tableau, Docker and Spark\n",
"\n",
"The difference between these groups is substantial, since around 50, 30 or 10 respondents are familiar with these tools, respectively.\n",
"Comparing the distribution of awareness and usage we can see the greatest difference in case of GitHub, SQL and Jupyter Notebook. Around 50% of the respondents know about these tools, but less then half of them are regular users. \n",
"## Development goals\n",
" * __Improve__\n",
" <br>The development goals show that most of the respondents aims to write a better code. There is a tight race between second and fourth places, namely to organize work better, learn new statistical methods and build beautiful visualizations.\n",
" * __Learn__\n",
" <br>If we have a closer look at the development goals, we can see that most of the respondents would like to learn Python (50%). The second most popular is R, followed by Julia.\n",
"\n",
"## Conditional analysis\n",
" * __By havePhd__\n",
" * software usage: The proportion of respondents use a certain programming language is quite similar, except from R and Python: grad students are much more likely to use these languages, which shows the openness of the younger generation towards data science softwares.\n",
" * tool awareness: Dropbox, latex and Google Drive are known by nearly all of the respondents. The software awareness is similar for the two groups, except for beamer and Tableau. The former is more widely known among those who have PhD, and the latter among grad students.\n",
" * tool usage: Dropbox, beamer and git are more frequently used among those who have PhD. On the other hand, OverLeaf and Jupyter Notebook are more popular among grad students.\n",
" * development goals\n",
" * learn: There is visible difference in the development goals of those who have PhD and those who are working towards it. Graduate students tend to be more intersted in Python then R, whereas these two languages enjoy the same popularity among those who already have PhD. It might refer to growing future interest in Python.\n",
"(We should be cautious regarding inference due to the small sample size.)\n",
" * improve: Grad students seem to be more interested in improving their scientific computing skills. Writing a better code is the most popular development goal for both groups, but there is a substantial difference in visualizations and automation which are generally more important for grad students.\n",
" * __By field__\n",
" <br>41 out of 63 respondents are in the field applied micro, so the other subgroups are too small to compare reasonably.\n",
" I conducted multivariate analysis just for learning goals - although I can make it for other variables as well, if you think it could be interesting.\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import seaborn as sns"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"scs_results = pd.read_csv(\"Scientific Computing Survey - Scientific Computing Survey.csv\", dtype=object)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# setting shorter variable names instead of questions"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"variable_names = ['havePhD','whenPhD','field','prog_use','tool_familiar','tool_use','improve','learn','email','submitted','token']"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"scs_results.columns = variable_names"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"scs_PhDsorted = scs_results.loc[scs_results['havePhD']!='no']"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# function for multiple question variables (prog_use, tool_familiar, tool_use)\n",
" #no 'nan' nedded and spaces should not make difference\n",
" #makes sense only for people with PhD or who is working towards it"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"# debug: in contains() re.escape needed, because of C++ (special characters)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"import re"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"def sns_multiple_barplot(dataframe,column,title):\n",
" l_column = [str(x).split(\",\") for x in dataframe[column].tolist()]\n",
" result = []\n",
" for x in l_column:\n",
" for y in x:\n",
" if y.strip()!='nan':\n",
" result.append(y.strip())\n",
" choices = list(set(result))\n",
" plot_column_df = pd.DataFrame()\n",
" for x in choices:\n",
" plot_column_df[x] = dataframe[column].astype(str).str.contains(re.escape(x))\n",
" plot_column_df = plot_column_df.sum().sort_values(ascending=False)\n",
" sns.barplot([x for x in plot_column_df.index], plot_column_df, palette='Blues_r')\n",
" plt.ylabel('Respondents')\n",
" plt.title(title)\n",
" plt.xticks(rotation='vertical')\n",
" sns.set_style('ticks')\n",
" plt.show()\n",
" return plot_column_df"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_prog_use = sns_multiple_barplot(scs_results,'prog_use',\"Which programming language have you used for research in the past month at least twice?\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"By far the most popular software among the respondents is **Stata**. Matlab, R and Python are also frequently used, but just about half as popular as Stata. The other programs - such as Julia, C++, SAS, Racket, Mathematica and EViews - are used by less than 10 out of 63 respondents."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Stata 47\n",
"Matlab 25\n",
"R 25\n",
"Python 24\n",
"Julia 9\n",
"C++ 3\n",
"SAS 3\n",
"Racket 1\n",
"Mathematica 1\n",
"EViews 1\n",
"dtype: int64"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_prog_use"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_awareness = sns_multiple_barplot(scs_PhDsorted,'tool_familiar',\"Are you familiar with the following tools?\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The distribution of awareness of the different tools shows, that we can **distinguish between 3 'groups'**:\n",
" * widely known tools: Dropbox, latex, Google Drive, beamer and GitHub\n",
" * moderate: OverLeaf, Jupyter Notebook, git, SQL and bash\n",
" * less known: make, AWS EC2, Tableau, Docker and Spark\n",
" \n",
"The difference between these groups is substantial, since around 50, 30 or 10 respondents are familiar with these tools, respectively."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_usage = sns_multiple_barplot(scs_PhDsorted,'tool_use',\"Which tools do you use regularly?\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The order of tool usage is similar to tool awareness. Altough **the extent of usage is lower then awareness**, especially in the 'moderate group'. The following chart shows a more detailed comparison."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.bar([x for x in df_awareness.index], df_awareness, label=\"aware\", color=\"lightsteelblue\")\n",
"plt.bar([x for x in df_usage.index], df_usage, label=\"use\", color=\"steelblue\")\n",
"plt.ylabel('Respondents')\n",
"plt.title(\"Gap between tool awareness and usage\")\n",
"plt.xticks(rotation='vertical')\n",
"plt.legend(loc='upper right')\n",
" \n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Comparing the distribution of awareness and usage reveals an interesting pattern. **We can see the greatest difference in case of GitHub, SQL and Jupyter Notebook.** Around 50% of the respondents know about these tools, but less then half of them are regular users.\n",
"Spark and Tableau are not used by either of the respondents."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_improve = sns_multiple_barplot(scs_results,'improve',\"How do you want to improve in the next six months?\")"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"write better code 40\n",
"organize work better 32\n",
"learn new statistical methods 31\n",
"build beautiful visualizations 29\n",
"automate more 25\n",
"learn a new programming language 24\n",
"collaborate with coauthors 23\n",
"dtype: int64"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_improve"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The development goals show that **most of the respondents aims to write a better code**. There is a tight race between second and fourth places, namely to organize work better, learn new statistical methods and build beautiful visualizations."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"# distribution of learning development goals"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"labels_learn = scs_PhDsorted['learn'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Python 12\n",
"R 7\n",
"Julia 4\n",
"Lisp 1\n",
"Name: learn, dtype: int64\n"
]
}
],
"source": [
"print(labels_learn)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"# colors fo different languages should be same throughout all of pie charts"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"def getcolors(s):\n",
" coldic = {\"Python\": \"teal\", \"R\": \"mediumseagreen\", \"Julia\" : \"mediumaquamarine\", \"Lisp\" : \"paleturquoise\" } \n",
" return [coldic[v] for v in s.index]"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff72c597c50>"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib as mpl\n",
"cmap = mpl.cm.Blues_r(np.linspace(0,1,20))\n",
"cmap = mpl.colors.ListedColormap(cmap[8:,:-1])\n",
"labels_learn.plot.pie(autopct='%1.1f%%', startangle=90, shadow=\"True\", label=\"\",\n",
" explode = (0.05, 0.05, 0, 0), colors=getcolors(labels_learn), title=\"What language do you want to learn?\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"If we have a closer look at the development goals, we can see that **most of the respondents would like to learn Python (50%)**. The second most popular is R, followed by Julia."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"# by year of PhD -> rather having PhD"
]
},
{
"cell_type": "code",
"execution_count": 26,
"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>col_0</th>\n",
" <th>count</th>\n",
" </tr>\n",
" <tr>\n",
" <th>havePhD</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>working towards it</th>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>yes</th>\n",
" <td>42</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"col_0 count\n",
"havePhD \n",
"working towards it 21\n",
"yes 42"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"my_tab_PhD = pd.crosstab(index=scs_PhDsorted[\"havePhD\"], columns=\"count\")\n",
"my_tab_PhD"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"# check distribution of fields.\n",
"# Would be good to make a 3 pie chart for the 2 most popular and \"other\""
]
},
{
"cell_type": "code",
"execution_count": 28,
"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>col_0</th>\n",
" <th>count</th>\n",
" </tr>\n",
" <tr>\n",
" <th>field</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>applied micro (labor, development, IO etc)</th>\n",
" <td>41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>econometrics</th>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>economic geography</th>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>finance</th>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>macro</th>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>theory</th>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"col_0 count\n",
"field \n",
"applied micro (labor, development, IO etc) 41\n",
"econometrics 3\n",
"economic geography 1\n",
"finance 6\n",
"macro 10\n",
"theory 2"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"my_tab_field = pd.crosstab(index=scs_PhDsorted[\"field\"], columns=\"count\")\n",
"my_tab_field"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"#multivariate analysis based on have PhD or working toward"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"df_learn = scs_PhDsorted[['havePhD', 'learn']]"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"df_learn_PhD = df_learn.loc[df_learn['havePhD'] == 'yes']"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"df_learn_stud = df_learn.loc[df_learn['havePhD'] == 'working towards it']"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"# reindex to get the same order as for the original, not sorted pie chart (labels_learn)\n",
"# autopct to write numbers instead of percentages"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib as mpl\n",
"plt.subplot(1,2,1)\n",
"total_df_PhD = sum(df_learn_PhD['learn'].value_counts())\n",
"s = df_learn_PhD['learn'].value_counts().reindex([\"Python\", \"R\", \"Julia\", \"Lisp\"])\n",
"s.plot.pie(autopct=lambda p: '{:.0f}'.format(p * total_df_PhD / 100),\n",
" startangle=90, shadow=\"True\", label=\"\", explode = (0.05, 0.05, 0, 0),\n",
" colors=getcolors(s), title=\"Have PhD\")\n",
"\n",
"plt.subplot(1,2,2)\n",
"total_df_stud = sum(df_learn_stud['learn'].value_counts())\n",
"s = df_learn_stud['learn'].value_counts()\n",
"s.plot.pie(figsize=(10,10), autopct=lambda p: '{:.0f}'.format(p * total_df_stud / 100),\n",
" startangle=90, shadow=\"True\", label=\"\", explode = (0.05, 0.05),\n",
" colors=getcolors(s), title=\"Working towards PhD\")\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There is visible difference in the development goals of those who have PhD and those who are working towards it. Graduate students tend to be more intersted in Python then R, whereas these two languages enjoy the same popularity among those who already have PhD. It might refer to growing future interest in Python.\n",
"(We should be cautious regarding inference due to the small sample size.)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"# multivariate analysis based on field of study"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
"df_learn_field = scs_PhDsorted[['field', 'learn']]"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"df_learn_appliedmicro = df_learn_field.loc[df_learn_field['field'] == 'applied micro (labor, development, IO etc)']"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"df_learn_macro = df_learn_field.loc[df_learn_field['field'] == 'macro']"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"df_learn_others = df_learn_field.loc[df_learn_field['field'] != 'applied micro (labor, development, IO etc)'].loc[df_learn_field['field'] != 'macro']"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"# It would be nicer with a function, although I didn't make one, cos come individual options needed\n",
"# such as .reindex, explode"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib as mpl\n",
"plt.subplot(1,3,1)\n",
"total_df_appliedmicro = sum(df_learn_appliedmicro['learn'].value_counts())\n",
"s = df_learn_appliedmicro['learn'].value_counts()\n",
"s.plot.pie(autopct=lambda p: '{:.0f}'.format(p * total_df_appliedmicro / 100),\n",
" startangle=90, shadow=\"True\", label=\"\", explode = (0.05, 0.05, 0),\n",
" colors=getcolors(s), title=\"Applied micro\")\n",
"\n",
"plt.subplot(1,3,2)\n",
"total_df_macro = sum(df_learn_macro['learn'].value_counts())\n",
"s = df_learn_macro['learn'].value_counts().reindex([\"Python\", \"Julia\", \"Lisp\"])\n",
"s.plot.pie(autopct=lambda p: '{:.0f}'.format(p * total_df_macro / 100),\n",
" startangle=90, shadow=\"True\", label=\"\", explode = (0.05, 0.05, 0),\n",
" colors=getcolors(s), title=\"Macro\")\n",
"\n",
"plt.subplot(1,3,3)\n",
"total_df_others = sum(df_learn_others['learn'].value_counts())\n",
"s = df_learn_others['learn'].value_counts()\n",
"s.plot.pie(figsize=(10,10), autopct=lambda p: '{:.0f}'.format(p * total_df_others / 100),\n",
" startangle=90, shadow=\"True\", label=\"\", explode = (0.05, 0.05),\n",
" colors=getcolors(s), title=\"Else\")\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"# due to small sample size it doesn't look good. I rather merge Macro & Else "
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"df_learn_others2 = df_learn_field.loc[df_learn_field['field'] != 'applied micro (labor, development, IO etc)']"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib as mpl\n",
"plt.subplot(1,2,1)\n",
"total_df_appliedmicro = sum(df_learn_appliedmicro['learn'].value_counts())\n",
"s = df_learn_appliedmicro['learn'].value_counts()\n",
"s.plot.pie(autopct=lambda p: '{:.0f}'.format(p * total_df_appliedmicro / 100),\n",
" startangle=90, shadow=\"True\", label=\"\", explode = (0.05, 0.05, 0),\n",
" colors=getcolors(s), title=\"Applied micro\")\n",
"\n",
"plt.subplot(1,2,2)\n",
"total_df_others2 = sum(df_learn_others2['learn'].value_counts())\n",
"s = df_learn_others2['learn'].value_counts().reindex([\"Python\", \"R\", \"Julia\", \"Lisp\"])\n",
"s.plot.pie(figsize=(10,10), autopct=lambda p: '{:.0f}'.format(p * total_df_others2 / 100),\n",
" startangle=90, shadow=\"True\", label=\"\", explode = (0.05, 0.05,0,0),\n",
" colors=getcolors(s), title=\"Else\")\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Separate anlysis by field of studies doesn't show any remarkable differences."
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"# I will do further conditional analysis just by havePhD"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"# this function makes separate plot by havePhD, in percentages"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [],
"source": [
"def sns_multiple_barplot_pct_byPhD(dataframe,column,PhDorNot,title):\n",
" l_column = [str(x).split(\",\") for x in dataframe.loc[dataframe['havePhD'] == PhDorNot][column].tolist()]\n",
" result = []\n",
" for x in l_column:\n",
" for y in x:\n",
" if y.strip() != 'nan':\n",
" result.append(y.strip())\n",
" choices = list(set(result))\n",
" plot_column_df = pd.DataFrame()\n",
" for x in choices:\n",
" plot_column_df[x] = dataframe.loc[dataframe['havePhD'] == PhDorNot][column].astype(str).str.contains(re.escape(x))\n",
" countof_column = scs_PhDsorted.loc[scs_PhDsorted['havePhD'] == PhDorNot].count()[column]\n",
" plot_column_df = plot_column_df.sum().sort_values(ascending=False).divide(countof_column/100)\n",
" sns.barplot([x for x in plot_column_df.index], plot_column_df, palette='Blues_r')\n",
" plt.ylabel('Respondents %')\n",
" plt.title(title)\n",
" plt.xticks(rotation='vertical')\n",
" sns.set_style('ticks')\n",
" plt.show()\n",
" return plot_column_df"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"# prog_usage"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_prog_use_PhD = sns_multiple_barplot_pct_byPhD(scs_PhDsorted,'prog_use','yes', 'Percentage of PhD using a certain software')\n",
"df_prog_use_students = sns_multiple_barplot_pct_byPhD(scs_PhDsorted,'prog_use','working towards it', 'Percentage of grad students using a certain software')\n"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"42"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"countof_col = scs_PhDsorted.loc[scs_PhDsorted['havePhD'] == 'yes'].count()['prog_use']\n",
"countof_col"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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2QHNXcf6ey4EDB/jzzz/R6/XY2NhgZmam/ng+LidOnOD48eNkZ2djZWWFhYUFJiYmmJqa0rFjR2bPnk1aWhpXr15l2bJlRR51Ozo6YmJiUiB/yDvY+e6779RmoL8/hrx91NraGmtray5cuMB///vfYnMuaV/7u/r16xMVFUV2djYnT54sUGSK+oyzsrLIysrC0dERMzMz9uzZw/79+9XXdezYkYiICC5cuEBGRgYLFy5U1z0p+6VRFAKAd955h7Fjx7JkyRJatmyp9s6PHj0aV1dXACZPnsxXX32Fq6srCxYsoFOnTg9sx8PDg/bt29O7d2/69u1Lq1atiozZuXNnFixYgKenJ7///juff/45kHfUuXTpUqKionj55Zdp1aoVs2bNUn9Eunfvzvnz53Fzc1NHS9SqVQtra2v1FDe/LbZZs2aYmpqWartjxoyhZs2a9OjRg2bNmtG7d+9i+wC01LVrV1xdXfH19WX16tWMGzeOYcOGFfrcOnXq0LdvX1577TVeeuklzp49S7NmzUod64svvuD48eN4enqyYMECAgICinzu5cuX1ZFeISEh9OzZkxYtWgB5bc9ff/01bm5uLF26FFtbWyZPnsyECRN45ZVXsLKyKtAcOHjwYKpVq4aPjw99+/YtcBZjamrKokWLOHPmDD4+PrRo0YIJEyaQlpZWqvf091xu3brF0KFDad68OX5+fnh4eJT6rKm00tPTmTBhAh4eHrRt25YKFSrQr18/ACZOnIiVlRXt2rXj9ddfp3PnznTr1q3Q7VhZWTFw4EB69uyJm5sbx44dA/IOdtLT0wsUgvsfA3zwwQds2rSJZs2aMXHixGIPxKDkfeLvhg8fzpUrV/Dw8GDevHm8+uqr6rqiPmMbGxsmTJjA8OHDcXd3Z9OmTQX6oVq3bk1oaChvvvkm7du3p0mTJgDqaMUnYb/UKcoTdjXVEyouLg4fHx9+//33QttohRCiNC5cuEDnzp05efLkE/NbYjRnBEIIUVZ27NhBVlYWt2/f5vPPP6dt27ZPTBEAjQvB8uXL8ff3p3PnzowcOZLMzExiY2MJDg6mffv2DB8+vMhTNCGEeFr8+OOPeHl50b59e0xNTfnoo4/KOqUCNGsaunHjBj179iQqKgpLS0uGDRtG69at2bNnD76+vvj7+zNp0iTq16/P66+/rkUKQgghSkHTMwK9Xs+9e/fIycnh3r17VK5cmQMHDqhDOAMDA4mOjtYyBSGEECXQrJHKycmJvn370rZtW8qVK0fLli1p2LAhdnZ2attY1apVH+qiEyGEEI+fZoXg9u3bREdHEx0dja2tLcOGDXuosbHh4eGEh4cDeVcT1qpVS6tUhRDiqXT16tVS3XtCs0Lwyy+/UKNGDfUiIF9fX44ePUpqaqp6+fr169eLvJouJCSEkJAQAIKCgoiIiNAqVSGEeCrdP3VFcTTrI6hWrRrHjx8nIyMDRVH49ddfqVOnDp6enurVeuvWrSt2AjAhhBDa0+yMoEmTJnTo0IHAwEDMzMxo0KABISEhtGnThhEjRjBnzhwaNGjw2OdCEUII8XD+FVcWS9OQEEI8vNL+dj45l7YJYeSys7OJi4sz/N2pxL+epaUlNWrUKNW044WRQiDEEyIuLg5bW1uee+65f3wzHGF8FEUhMTGRuLi4fzy6UuYaEuIJce/ePSpWrChFQDwUnU5HxYoVH+lMUgqBEE8QKQLin3jU740UAiEEkNc01blzZ4PFi4iIoEWLFnTt2hU/Pz9WrVoFwLx581i6dGmhr2nQoAFdu3bF39+fLl268M033xj8to5Po6e+jyApI4nUzFRNY9iVs8PRylHTGML4PO7v7pP4PfXz82PSpEkkJibi7+9f4nVFlpaWrF+/HoDExERGjRpFWloaQ4cONUS6T62nvhCkZqay/NhyTWP0btr7idvBxL/f4/7uluZ7qtfrmTBhAjExMTg5ObFw4UIsLS1ZtWoV4eHhZGdnU7NmTWbOnElOTg5dunQhOjoaExMT7t69S6dOnfjpp5+4du0aH3/8McnJyVhaWjJ16lT1Xt+FqVixIs8++yzx8fEAnD9/ntDQUOLj43nrrbd48803C33N1KlT6d69O0OGDJFmtUcgTUNCCNXly5d544032Lx5M7a2tuosAO3bt2ft2rVs2LCB559/njVr1mBra0v9+vX57bffANi9ezetWrXC3NyciRMnMnHiRCIiIvjggw/4+OOPi40bGxtLbGwszz77LJA3v9jSpUtZvXo1CxYsIDs7u9DXOTs7o9fr1fv9in/mqT8jEEKUXo0aNWjQoAEADRs25OrVqwCcO3eOOXPmcOfOHdLT09V7dfv5+REVFUWLFi3YvHkzr7/+Ounp6cTExBS4B3VRN6CKioriyJEjWFhYMGXKFCpUqADk3efXwsICR0dHHB0dSUxMLHA/aPF4SSEQQqjyb6gOYGpqSmZmJgBjx45l4cKF1K9fn4iICPUswNvbm9mzZ5OSksLvv/9OixYtyMjIwM7OTm3LL05+H0FJeeTk5BT6+tjYWExNTalYseJDvU9RkDQNCSFKlJ6eTuXKlcnOzmbjxo3qcmtra1xcXJg2bRpt2rTB1NQUGxsbatSowZYtW4C8C57OnDnz2HNKSkpi8uTJvPHGG9I/8IjkjEAIUaJhw4YRHByMo6MjTZo0IT09XV3n5+fHsGHD+Pbbb9Vln3/+OR999BFff/01OTk5+Pn5Ub9+/UfO4969e3Tt2pWcnBxMTU3p2rUrffr0eeTtGrunftK5SymXDDJq6LkKz2kaQzz9Tp8+rbbPg3EMHxWPz9+/PyCTzgnxr+do5Sg/3MIgpI9ACCGMnBQCIYQwclIIhBDCyEkhEEIII6dZZ/Fff/3FiBEj1MexsbEMHTqUgIAARowYwdWrV6levTpz5szB3t5eqzQob25H+9razqhY3txO0+0LIYSWNCsEzz//vHploV6v55VXXqF9+/aEhYXh5eVF//79CQsLIywsjDFjxmiVBgomnLhxTbPtA9RxrKPp9oUwhOnTp1OtWjV69+4NQL9+/ahatSrTpk0D4NNPP8XJyanU4/bj4uIYOHAgmzZtKrD85MmTrF+/ngkTJjxyzj/99BPPPfccdeqUzT4YGhrK+++/T6NGjUp87rx581i1ahWOjo7o9XpGjBiBj48PY8eOpU2bNnTs2LHA8+Pi4vDz8+P5558nMzMTa2trXn/9dYKCgh77+zBI09Cvv/6Ks7Mz1atXJzo6moCAAAACAgL46aefDJGCEP86mXo96dk5j+1fpl5fbLxmzZoRExMDQG5uLsnJyZw/f15dHxMTg6ura6lyL2pKCIBGjRo9liIAeYXg/hy1VNx7Kq3evXuzfv165s6dy4cffljivRSeffZZIiMj2bJlC7Nnz2bFihWsXbv2kfP4O4NcR7B582b1hheJiYlUqVIFgMqVK8usgUIUISdX4fLtjMe2vZr2VpQzLXq9q6srM2bMAPImmatbty43b97k9u3bWFlZceHCBV588UUURWHmzJns27cPnU7Hu+++i5+fHwcPHmTu3LnY2dmps4fmi42NZciQIUyZMoWMjAy++eYbFi9ezLx584iPjycuLu6BKacXLFjAhg0bcHR05JlnnqFhw4b069dP3ebRo0fZuXMnv/32G19//TXz5s0jPT2dyZMnk5GRwbPPPsv06dPJycnhnXfeISIigjNnztC1a1d27dpFtWrVaNeuHRs3buTXX3/l66+/Jjs7mwoVKjBr1iwqVarEvHnzuHLlCrGxsVSrVo3p06czbtw4zpw5w/PPP6/eHlKv1zN+/HhOnTqFTqejW7du6plVYWrXro2ZmRnJyckAHD58mOXLl3Pz5k3GjBnzwNkB5M20OnbsWD777DO6detW6v/30tC8EGRlZbFz505GjRr1wDqdTlfkHCHh4eGEh4cDqB+WEEI7Tk5OmJqaEh8fT0xMDE2bNuXGjRscO3YMGxsbXnjhBSwsLNi2bRtnzpxh/fr1JCcn0717d9zc3AD4448/2LhxI87OzsTFxQF5/YUjR47k008/pX79+hw8eLBA3IsXL7Jy5UrS0tLo1KkTPXv25PTp02zfvp0NGzaQnZ1NUFAQDRs2LPC6Zs2a4e3tXaBZ5dVXX2XixIl4eHgwd+5c5s+fz/jx48nMzCQtLY3Dhw/j4uLC4cOHad68ORUrVsTKyormzZuzatUqdDodq1evZsmSJYwdOxaACxcu8MMPP2BpacmyZcuwtLRky5YtnDlzRm2mOX36NDdu3FCbwVJTi78i/Pjx4+h0Ohwd8y4YTEhI4IcffuCvv/7i3XffLbQQQN6MsH/99Vep/09LS/NCsHfvXho2bEilSpWAvJtJJCQkUKVKFRISEtQP4u9CQkIICQkB0KRNTAjxIFdXV2JiYoiJiaFPnz7cuHGDo0ePYmtrS7NmzQA4cuQI/v7+mJqaUqlSJdzd3Tl58iQ2NjY0atQIZ2dndXtJSUm89957zJ8/v8h2/MKmnD569Cg+Pj6UK1eOcuXK0bZt2xJzv3PnDnfu3MHDwwOAwMBAdSpsV1dXjhw5wqFDhxg4cCD79u1DURSaN28OwPXr1xkxYgQ3b94kKyuLGjVqqNv19vbG0tISgEOHDhEaGgpA/fr1qVevHpB3tB4bG8vUqVNp3bq1Ok333y1fvpwNGzZgbW3NnDlz1APhdu3aYWJiQp06dbh161aR71GrGYE07yPYvHkz/v7+6mNvb28iIyMBiIyMxMfHR+sUhBCllN9PcPbsWerWrUuTJk04duxYqfsHypcvX+Cxra0t1apV48iRI0W+prRTTj8KNzc3jhw5Qnx8PD4+Ppw5c4YjR46oZzKffPIJb7zxBhs3bmTKlCkF7p9gZWVV4vbt7e1Zv349Hh4e/Pjjj4wfP77Q5+X3Efzwww9qbCj4GRTnjz/+KPZOb/+UpoXg7t27/PLLL/j6+qrL+vfvz/79+/H19eWXX36hf//+WqYghHgIzZo1Y9euXdjb22NqakqFChW4c+cOx44dUwuBm5sbW7ZsQa/Xk5SUxOHDh2ncuHGh2zM3N2f+/PlERkYWmL66tHlkZmaSnp7O7t27C32etbW1OhOqra0tdnZ2HD58GID169fj7u6u5rxhwwZq1qyJiYkJ9vb27N27Vz0juHPnDk5OTgDqgWph3N3d1eafs2fP8ueffwJ5Zz6KotChQweGDx/OH3/8Uer3WlpxcXHMnDmTXr16PfZta9o0VL58+QfaAx0cHFixYoWWYYUQ/9ALL7xAcnKyOrgjf1l6errajNu+fXtiYmLo2rUrOp2OMWPGULly5SLbrsuXL8/ixYvp06cP5cuXx8bGpsQ8GjdujLe3N126dKFixYq88MIL2NraPvA8Pz8/Jk6cyLfffstXX33FZ599pnYWOzs7q53fNWrUQFEUtTA0b96c69evq9cwDR48mGHDhmFvb4+np6fav/F3PXv2ZNy4cXTq1InatWur/RYJCQmMGzdOHQU0cuTIEt9jaVy5coWAgAB1+GhoaKgmTeVP/TTUN9JTiDi97zFnVFBQg5dxsq6gaQzx9Pv7NMKZej05uY9v9zQz0VHOtJhhQ0+Y9PR0rK2tycjI4I033mDq1KkPdBiL/yfTUAvxFCpnalrscM+n3aRJkzh//jyZmZkEBgZKEdCQFAIhxBPpiy++KOsUjIZMOieEEEZOCoEQT5B/QZedeAI96vdGCoEQTwhLS0sSExOlGIiHoigKiYmJ6kVv/4T0EQjxhKhRowZxcXHcvHmzrFMR/zKWlpYFroZ+WFIIhHhCmJubU6tWrbJOQxghaRoSQggjJ4VACCGMnBQCIYQwclIIhBDCyEkhEEIIIyeFQAghjJwUAiGEMHJSCIQQwshJIRBCCCMnhUAIIYycFAIhhDBymhaC1NRUhg4dSseOHenUqRMxMTGkpKTQp08ffH196dOnD7dv39YyBSGEECXQtBBMmzaNl19+ma1bt7J+/Xpq165NWFgYXl5ebN++HS8vL8LCwrRMQQghRAk0KwR37tzh0KFDdO/eHQALCwvs7OyIjo4mICAAgICAAH766SetUhBCCFEKmk1DHRcXh6OjI+PGjePMmTM0bNiQ8ePHk5iYSJVhMFj7AAAgAElEQVQqVQCoXLkyiYmJhb4+PDyc8PBwAJKTk7VKUwghjJ5mZwQ5OTn88ccf9OzZk8jISKysrB5oBtLpdOh0ukJfHxISQkREBBERETg4OGiVphBCGD3NCkHVqlWpWrUqTZo0AaBjx4788ccfVKxYkYSEBAASEhJwdHTUKgUhhBCloFkhqFy5MlWrVuWvv/4C4Ndff6V27dp4e3sTGRkJQGRkJD4+PlqlIIQQohQ0vVXlxIkTGT16NNnZ2Tg7OzNjxgxyc3MZPnw4a9asoVq1asyZM0fLFIQQQpRA00LQoEEDIiIiHli+YsUKLcMKIYR4CHJlsRBCGDkpBEIIYeQ0bRoSxilTrycnV9E0hpmJjnKmpprGEMJYSCEQj11OrsLl2xmaxqhpb0U5qQNCPBbSNCSEEEZOCoEQQhg5KQRCCGHkpBAIIYSRk0IghBBGTgqBEEIYOSkEQghh5KQQCCGEkSt1ITh27Bj9+vUjNDRUbi8phBBPkSKvLL558yaVK1dWHy9btowFCxagKAo9evSgXbt2BklQCCGEtoosBJMnT+bFF1/knXfeoVy5ctjZ2bF161ZMTEywtrY2ZI5CCCE0VGQhWLhwITt37mTAgAEEBATw4YcfsmnTJjIyMli4cKEhcxT/gEz8JoQorWInnfP29qZ169b88MMPDB48mIEDB+Lu7m6o3MQjkInfhBClVWRncXR0NKGhobz99tvUrVuX2bNnEx0dzYgRI7hy5YohcxRCCKGhIs8I5syZw5o1a7h37x79+vVjzZo1jB07lkuXLjF79mxmz55d4sa9vb2xtrbGxMQEU1NTIiIiSElJYcSIEVy9epXq1aszZ84c7O3tH+ubEkIIUXpFFgJbW1u2b9/OvXv3qFixorr8ueeeK1URyLdixQocHR3Vx2FhYXh5edG/f3/CwsIICwtjzJgx/zB9IYQQj6rIpqH58+eTkpJCTk4OX3zxxWMLGB0dTUBAAAABAQFyTYIQQpSxIs8IHB0dCQ0NfeQA/fr1Q6fTERISQkhICImJiVSpUgWAypUrk5iY+MgxhBBC/HOa3qryv//9L05OTiQmJtKnTx+ef/75Aut1Oh06na7Q14aHhxMeHg5AcnKylmkKIYRR03SuIScnJwAqVqxI+/btOXHiBBUrViQhIQGAhISEAv0H9wsJCSEiIoKIiAgcHBy0TFMIIYxaiYXg7t275ObmAnDx4kWio6PJzs4uccN3794lLS1N/Xv//v3UrVsXb29vIiMjAYiMjMTHx+dR8hdCCPGISmwa6tWrF99//z2pqan069cPFxcXoqKiSuxATkxMZNCgQQDo9Xo6d+7MK6+8QqNGjRg+fDhr1qyhWrVqzJkz5/G8EyGEEP9IiYVAURSsrKxYs2YNPXv25J133qFr164lbtjZ2ZkNGzY8sNzBwYEVK1b8s2yFEEI8diU2DSmKQkxMDBs3bqRNmzYAalOREEKIf78SC8H48eNZvHgx7dq1o27dusTGxuLp6WmI3IQQQhhAiU1Dt27dYtGiRepjZ2dnmjdvrmlSQgghDKfEM4KwsLBSLRNCCPHvVOQZwZ49e9i7dy83btzgk08+UZenpaVhKnPQCyHEU6PIQuDk5ISLiws7d+6kYcOG6nJra2vGjRtnkOSEEEJor8hCUL9+ferXr0/nzp0xNzc3ZE5CCCEMqMTO4hMnTjB//nzi4+PJyclBURR0Oh3R0dGGyE8IIYTGSiwE48ePZ9y4cbi4uGBiounUREIIIcpAiYXA1taW1q1bGyIXIYQQZaDEQuDp6clnn32Gr68vFhYW6vL7O5CFEEL8e5VYCI4fPw7AqVOn1GU6nY6VK1dql5UQQgiDKbEQfPvtt4bIQwghRBkpsff31q1bfPjhh7z99tsAnD9/ntWrV2uemBBCCMMosRCMHTuWVq1aqXcVe+6556RZSAghniIlFoLk5GT8/PzUoaNmZmYyjFQIIZ4iJf6ily9fnuTkZPUm88eOHcPW1lbzxIQQQhhGiZ3FY8eO5d133+XKlSu89tprJCcnM3fuXEPkJoQQwgBKLAQNGzbku+++4+LFiyiKQq1atR5q7iG9Xk+3bt1wcnJi8eLFxMbGMnLkSFJSUmjYsCEzZ84scH2CEEIIwyqyEGzfvr3Q5ZcuXQLA19e3VAFWrlxJ7dq1SUtLA2DWrFn07t0bf39/Jk2axJo1a3j99dcfMm0hhBCPS5GFYNeuXQAkJiYSExNDixYtADh48CCurq6lKgTXr19n9+7dDBw4kOXLl6MoCgcOHOCLL74AIDAwkPnz50shEEKIMlRkIZgxYwYAffv2ZfPmzVSpUgWAhISEUt+PYPr06YwZM4b09HQgbwSSnZ0dZmZ5YatWrcqNGzce6Q08yZIykkjNTNU0hl05OxytHDWNIYR4upXYR3Dt2jW1CABUqlSJ+Pj4Eje8a9cuHB0dcXFx4eDBgw+dWHh4OOHh4UBeAfk3Ss1MZfmx5ZrG6N20txQCIcQjKbEQeHl50a9fP/z9/QGIioripZdeKnHDR48eZefOnezdu5fMzEzS0tKYNm0aqamp5OTkYGZmxvXr13Fycir09SEhIYSEhAAQFBT0MO9JCCHEQyixEEyaNInt27dz+PBhIO8Hun379iVueNSoUYwaNQrI61f45ptv+OKLLxg6dCjbtm3D39+fdevW4e3t/YhvQQghxKMosRBA3gih0o4SKsmYMWMYMWIEc+bMoUGDBgQHBz+W7QohhPhnSiwE27dvZ9asWSQmJqIoinqryqNHj5Y6iKenJ56engA4OzuzZs2af56xEEKIx6rEQvD555+zaNEiateubYh8nirlze1oX7uz5jGEEOJRlFgIKlasKEXgH1Iw4cSNa5rGqONYR9PtCyGefiUWAhcXF4YPH067du0KTAXxuPoMhBBClK0SC0F6ejpWVlbs37+/wHIpBEII8XQosRDkX2EshBDi6VTi/QiuX7/OoEGD8PLywsvLiyFDhnD9+nVD5CaEEMIASiwE48aNw9vbm3379rFv3z7atm1b6rmGhBBCPPlKLARJSUl069YNMzMzzMzMCAoKIikpyRC5CSGEMIASC0GFChVYv349er0evV7P+vXrqVChgiFyE0IIYQAlFoLp06ezZcsWWrZsScuWLdm2bZt0IAshxFOkxFFD1atXZ9GiRYbIRQghRBko8YwgNjaWgQMH0qJFC7y8vHj33XeJjY01RG5CCCEMoMRCMGrUKDp27MjPP//Mvn376NixIyNHjjREbkIIIQygxKahjIwMAgIC1Mddu3Zl6dKlmiYlHl1mThYp91I0jVHV2hRr81LNZC6EeIKVuBe/8sorhIWF4efnh06nIyoqitatW5OSkvcjIyOInkzZuVkcv35M0xi1HV4GymsaQwihvRILwZYtWwD48ccfCyzfvHkzOp2O6OhobTITQghhECUWgp07dxoiDyGEEGWkxM7iLVu2kJaWBsDChQsZPHgwf/zxh+aJCSGEMIwSC8HChQuxsbHh8OHD/Prrr3Tv3p3JkyeXuOHMzEy6d+9Oly5d8Pf356uvvgLyhqMGBwfTvn17hg8fTlZW1qO/CyGEEP9YiYXA1NQUgD179tCjRw/atGlDdnZ2iRu2sLBgxYoVbNiwgcjISPbt28exY8eYNWsWvXv3ZseOHdjZ2cn9i4UQooyVWAicnJyYNGmSOlooKyuL3NzcEjes0+mwtrYGICcnh5ycHHQ6HQcOHKBDhw4ABAYGSmezEEKUsRILwZw5c2jVqhVLly7Fzs6OlJQU3n///VJtXK/X07VrV1566SVeeuklnJ2dsbOzw8wsr4+6atWq3Lhx49HegRBCiEdS4qghKysrHB0dOXLkCM899xxmZmbUrFmzVBs3NTVl/fr1pKamMmjQIP76669SJxYeHk54eDgAycnJpX6dEEKIh1PiGcH8+fNZsmQJYWFhAGRnZzNmzJiHCmJnZ4enpyfHjh0jNTWVnJwcIO/uZ05OToW+JiQkhIiICCIiInBwcHioeEIIIUqvxEKwY8cOvv76a6ysrIC8PoP09PQSN5yUlERqaioA9+7d45dffqF27dp4enqybds2ANatW4e3t/ej5C+EEOIRldg0ZG5ujk6nQ6fTAXD37t1SbTghIYGxY8ei1+tRFIWOHTvStm1b6tSpw4gRI5gzZw4NGjQgODj40d6BEEKIR1JiIejUqROTJk0iNTWVVatWsXbt2lL9eNevX5/IyMgHljs7O8uQ0aecTHgnxL9LiXtSv3792L9/P9bW1ly8eJGhQ4fSsmVLQ+Qm/qVkwjsh/l1KdUiVf5tKgNzcXDZs2ECXLl00TUwIIYRhFNlZnJaWxuLFi5kyZQo///wziqLw3Xff0a5dO3VGUiGEEP9+RZ4RjBkzBnt7e5o2bcrq1atZvHgxiqKwYMECGjRoYMgchRBCaKjIQhAXF8fXX38NQHBwMK1atWL37t2UK1fOYMkJIYTQXpFNQ/nTQEDeFcJVq1aVIiCEEE+hIs8Izpw5Q7NmzQBQFIXMzEyaNWuGoijodDqOHj1qsCSFEEJop8hCcPr0aUPmIYQQooyUOMWEEEKIp5sUAiGEMHJSCIQQwshJIRBCCCMnhUAIIYycFAIhhDByUgiEEMLISSEQQggjJ4VACCGMnBQCIYQwcprd6+/atWu8//77JCYmotPp6NGjB2+99RYpKSmMGDGCq1evUr16debMmYO9vb1WaQghhCiBZmcEpqamjB07lqioKMLDw/nhhx84f/48YWFheHl5sX37dry8vAgLC9MqBSGEEKWgWSGoUqUKDRs2BMDGxobnn3+eGzduEB0dTUBAAAABAQH89NNPWqUghBCiFAzSRxAXF8fp06dp0qQJiYmJVKlSBYDKlSuTmJhoiBSEEEIUQbM+gnzp6ekMHTqUDz/8EBsbmwLrdDodOp2u0NeFh4cTHh4OQHJystZpCiGE0dL0jCA7O5uhQ4fy6quv4uvrC0DFihVJSEgAICEhAUdHx0JfGxISQkREBBERETg4OGiZphBCGDXNCoGiKIwfP57nn3+ePn36qMu9vb2JjIwEIDIyEh8fH61SEEIIUQqaNQ0dOXKE9evX88ILL9C1a1cARo4cSf/+/Rk+fDhr1qyhWrVqzJkzR6sUhBBClIJmhcDNzY0///yz0HUrVqzQKqwQQoiHJFcWCyGEkZNCIIQQRk4KgRBCGDkpBEIIYeSkEAghhJGTQiCEEEZOCoEQQhg5KQRCCGHkpBAIIYSRk0IghBBGTgqBEEIYOc3vRyCEIaXcSydTn61pjHKm5lSwtNY0hhCGJIVAPFUy9dlEnN6naYygBi9run0hDE2ahoQQwshJIRBCCCMnhUAIIYycFAIhhDByUgiEEMLIaVYIxo0bh5eXF507d1aXpaSk0KdPH3x9fenTpw+3b9/WKrwQQohS0qwQBAUFsWTJkgLLwsLC8PLyYvv27Xh5eREWFqZVeCGEEKWkWSFwd3fH3t6+wLLo6GgCAgIACAgI4KefftIqvBBCiFIyaB9BYmIiVapUAaBy5cokJiYaMrwQQohClNmVxTqdDp1OV+T68PBwwsPDAUhOTjZUWkIIYXQMekZQsWJFEhISAEhISMDR0bHI54aEhBAREUFERAQODg6GSlEIIYyOQQuBt7c3kZGRAERGRuLj42PI8EIIIQqhWSEYOXIkr732GhcvXuSVV15h9erV9O/fn/379+Pr68svv/xC//79tQovhBCilDTrI/jyyy8LXb5ixQqtQgohhPgH5MpiIYQwclIIhBDCyEkhEEIIIyd3KBPiMUnKSCI1M1XTGHbl7HC0KnrYtRD/hBQCIR6T1MxUlh9brmmM3k17SyEQj500DQkhhJGTQiCEEEZOCoEQQhg5KQRCCGHkpBAIIYSRk1FDQjwFUu6lk6nP1jRGOVNzKlhaaxrj3yZTrycnV9Fs+2YmOsqZmmq2fTWO5hGEEJrL1GcTcXqfpjGCGrys6fb/jXJyFS7fztBs+zXtrSinfR2QpiEhhDB2UgiEEMLISSEQQggjJ4VACCGMnHQWCyEeSVlPtqd1fGOY6E8KgRDikZT1ZHtaxzeGif6kaUgIIYxcmRSCvXv30qFDB9q3b09YWFhZpCCEEOJ/DF4I9Ho9U6ZMYcmSJWzevJlNmzZx/vx5Q6chhBDifwxeCE6cOEHNmjVxdnbGwsICf39/oqOjDZ2GEEKI/zF4Ibhx4wZVq1ZVHzs5OXHjxg1DpyGEEOJ/dIqiaDdjUiG2bt3Kvn37mDZtGgCRkZGcOHGCSZMmFXheeHg44eHhAFy8eJFatWoZJL/k5GQcHBwMEutJiy+xJbbEfrpiX716lYMHD5b8RMXAjh49qvTt21d9vGjRImXRokWGTqNIgYGBRhtfYktsif30xi6OwZuGGjVqxKVLl4iNjSUrK4vNmzfj7e1t6DSEEEL8j8EvKDMzM2PSpEm8/fbb6PV6unXrRt26dQ2dhhBCiP8x/eijjz4ydNDnnnuO0NBQ3nzzTdzd3Q0dvkQuLi5GG19iS2yJ/fTGLorBO4uFEEI8WWSKCSGEMHJSCIQQwsjJ7KPC6Ny+fZvLly+TmZmpLnsS+6qeNllZWVhYWJS4TBie9BH8z9mzZzl//jxZWVnqsoCAAIPFv3nzJidOnECn09GoUSMqV65ssNj3y83NZdOmTXTp0kXzWElJSaxatYqrV6+Sk5OjLp8xY4ZmMVevXs3KlSu5fv069evX5/jx4zRt2pSVK1dqFrMwixcvZsCAAQaJtXPnTurVq0f16tUBmD9/Ptu3b6datWqMHz8eZ2dng+QRGBjIunXrSlymlbLax2fOnMl7771HuXLlePvtt/nzzz8ZN24cXbt21Tx2aUnTEHk7xtSpU/nkk084ePAgn3/+OTt37jRY/NWrVxMcHMyOHTvYtm0bISEhrFmzRtOYaWlpLF68mClTpvDzzz+jKArffvst7dq1Y8uWLZrGzvfee+9x584dvLy8aNOmjfpPSytXrmTNmjVUq1aNb7/9lnXr1mFnZ6dpzMJs3brVYLFmz56No2PefPq7du1i48aNTJ8+HR8fHwwxaPDmzZucOnWKe/fu8ccff/D777/z+++/c/DgQTIyMjSPD2W7j+/fvx8bGxt2795N9erV2bFjB0uXLjVI7NKSpiFg27ZtrF+/noCAAGbMmMGtW7cYM2aMweIvWbKEdevWqZeeJycn89prr9G9e3fNYo4ZMwZ7e3uaNm3K6tWrWbx4MYqisGDBAho0aKBZ3PtlZGQY9HMGsLCwoFy5ckBes0Tt2rW5ePGiQXMwNJ1Oh5WVFQDbt2+nW7duuLi44OLiwg8//KB5/J9//pmIiAiuX79e4GzPxsaGkSNHah4fynYf1+v1AOzevZuOHTtia2trkLgPQwoBUK5cOUxMTDAzMyMtLY2KFSty7do1g8V3cHDA2tpafWxtba35fCRxcXF8/fXXAAQHB9OqVSt2796t/kgaQps2bdizZw+tW7c2WMyqVauSmppKu3bt6NOnD3Z2dlSrVs0gsb29vdHpdCiKws2bN/Hx8UFRFHQ6naYz8CqKQnp6OlZWVhw4cIDXX39dXXd/P4lWAgMDCQwMZNu2bXTo0EHzeIUpy328TZs2dOzYEUtLSz766COSkpIMup+VhhQC8i7wSE1NJTg4mKCgIMqXL4+rq6vmcZctWwbAs88+S48ePfDx8VF/FOrVq6dpbDOz//+vNzU1pWrVqgb/cq5cuZLFixdjbm6u5qPT6Th69KhmMRcsWADAkCFD8PT05M6dO7z88suaxbvf/U0RAQEBREZGGiTuW2+9RUBAADY2Njz//PM0atQIgD/++MOgfVHNmjXjww8/JCEhgSVLlnD+/HliYmIIDg7WPHZZ7eMAo0eP5u2338bW1hZTU1MsLS1ZuHChQWKXlnQW/01cXBxpaWnUr19f81jz588vdv3gwYM1i92gQQO1uUBRFDIzM7G0tFSPULX8MS4LaWlp2NjYkJKSUuj6ChUqGDQfQxYCyJv+PTExkfr162Niktc1ePPmTXJycnjmmWcMksPbb79NUFAQixYtYsOGDeTk5BAYGMjGjRsNEj+fIfdxgJ49e+Lh4UHz5s1p1qwZNjY2Bon7MOSMgLwjphUrVgBQo0aNB5ZpRcsf+pKcPn26zGLfLzo6msOHDwPg4eFB27ZtNYkzatQoFi9eTFBQkNo8k0/rppnCNGvWzKDxnJyccHJyUh9fuXKFjRs3EhUVxebNmw2SQ3JyMn5+furtac3MzNSipLUdO3bQokULbG1tqVGjBqmpqfz000+0a9dO89gzZ87kyJEjbN++nc8//xxzc3Pc3Nz48MMPNY9dWkZdCDIzM8nIyCA5OZnbt2+rPw5paWkGvVlOUlIS//nPfzh//nyBNltDD2k0tFmzZnHy5EleffVVIO/9Hj16lFGjRj32WIsXLwYw6Giw4vz9/huGcOPGDbZs2cLGjRs5e/YsAwYM4MsvvzRY/PLly5OcnIxOpwPg2LFjBus4nT9/Pu3bt1cf29nZMX/+fIMUAmdnZ8qVK4e5uTnm5uYcPHiQCxcuaB73YRh1Ifjxxx9ZsWIFCQkJBAUFqYXAxsaGXr16GSyP0aNH06lTJ3bv3s3HH3/MunXr1OF+T7M9e/awfv169agwMDCQgIAATQrB77//Xuz6hg0bPvaYxTl37pzBZt0NDw9n06ZNJCQk0LFjR6ZNm8Z7771n8DPSsWPH8u6773LlyhVee+01kpOTmTt3rkFi5+bmPrAsfzSP1tq1a4eDgwOdO3eme/fuTJw40WBnQqVl1IXgrbfe4q233uLbb78lNDS0zPJISUkhODiYlStX4uHhgYeHB926dSuzfAwpNTVVbZ+/c+eOZnE+/fTTItfpdDqDn329//77BruQaurUqTRt2pRZs2apHcX5R+WG9OKLL/Ldd99x8eJFFEWhVq1aGKqL0sXFhRkzZvDGG28A8P333xus+IeGhnLkyBE2b97M6dOncXd3x93dnWeffdYg8UvDqAtBvtDQ0DK9sjh/xEyVKlXYvXs3VapU4fbt2waJXZYGDBhAYGAgnp6eKIrCoUOHGD16tCaxvv32W022+08ZcozGvn372Lp1K5999hk3b96kU6dOBa7kNpQPP/yQGTNmqGdCd+/e5d1339W8Lw5g4sSJLFy4kOHDhwPQsmVLgzXP5R9wpqenExERwfz587l+/foT008HMmoIyGs/zG+3a926NXv37qV58+Z89dVXBom/a9cu3NzcuHbtGlOnTiU9PZ1Bgwbh4+NjkPhlKSEhgZMnTwLQuHFjzYczFjVSxxBF//5RYj/++COvvfaa+thQzTTXr18nKiqKTZs2kZGRQfv27Q12UdecOXNISUnho48+4vbt2wwYMIDg4OCn/uz3008/5ciRI9y9exdXV1eaN2+Om5ubwab2KA05I6DsryzOHylja2v7xB25ak1RFBwcHNDr9Vy6dIlLly5pOgFcftGBvMECv/76Kw0bNjRIIcif6wfA3Ny8wGMtnThxgmeeeYbKlStTtWpVHBwcqFKlCrm5uQa9dmT48OHMnDmTSZMm8fvvv9O/f3/NLzCbNm0a48ePZ+DAgYWuX7RokabxAZo2bcrbb79NpUqVNI/1T0khoOyuOpw6dWqxbbUTJkzQPIey9Pnnn7Nlyxbq1KlToPNMy0IwceLEAo9TU1MZMWKEZvHuFxgYqP69cuXKAo+1NHnyZPXixUOHDvHFF18wceJETp8+zZ9//ql5/O3bt6t/N2nShIULF9K4cWN0Oh3bt2/H19dXs9j5E7v17dtXsxgl8fX1ZePGjcTFxTFo0CDi4+O5desWjRs3LrOc/k4KAWV31eGTeMs6Q/rpp5/YunVrmU5DbGVlRVxcnMHjGrJFVq/Xqx3yUVFRhISE0KFDBzp06GCQGTB37dpV4PGLL75ITk6OulzLQpC/j50+fZq33nqrwLoVK1bg4eGhWex8H3/8MSYmJhw4cIBBgwZhbW3NkCFDWLt2reaxS0sKAagzMPbs2ZOXX37ZYFcd5h8RbtmyhU6dOhVYZ6gZQMuSs7Mz2dnZBi0E9zcR5Obmcv78+Qc+ey1cvnyZW7du0bx5cwCWL18OwJEjR6hcubKmI0hyc3PJycnBzMyMX3/9lalTp6rrDDGEUstpxUsrMjLygUKwbt26B5Zp4cSJE6xbt05tfrS3tyc7O1vzuA9DCgFld2VxvrCwsAd+jApb9rTIbxKzsrIiICAALy+vAsVAyyaxvn37qs1xpqamVK9evcAVt1qZPn16gU7Z/CN0Gxsbpk+frmlbtb+/P7169cLBwQFLS0vc3NyAvOJkyOkOPvjgA8aPH69O+3379m0+/fRTTQvFpk2b2LRpE3FxcQUOAtLT07G3t9cs7v3MzMzQ6/Xq9y4pKUmuI3iSlPWVxXv27GHv3r3cuHGDTz75RF2elpaGqamp5vHLSv7pesOGDfH29i6wTqvx7a6urg9MLZEfz8LCgmeffZYRI0bg5eWlSfxbt24VOpFgvXr1uHr1qiYx87377rt4eXlx8+ZNWrZsqX7Gubm5D/SZaOnPP/8scO8He3t7zYdQurq6UrlyZZKTkwv0E1hbW2s+sWO+0NBQBg0aRGJiIrNnz2br1q3qMNYnhVEXgr9fWZzP2traIFcWOzk54eLiws6dOwtc3GJtbc24ceM0j19W8pvEVqxYUWi7rRZiYmKKXKfX6zl37hyjR49m06ZNmsQv7mK5e/fuaRLzfk2bNn1gWa1atTSPe7/c3Fxu376tHomnpKRo3jRVvXp1qlevTnh4uKZxitOlSxcaNmzIgQMHUBSFhQsXUrt27TLLpzBGfR3BiRMnqFq1Ktu2bSM0NJR169axbds2atSoweDBgw02I2V2djbm5uYGifUkKew2hYaelfN+fx/b/ziNHDmSFi1a0KNHjwLLV69ezaAqfQ0AAAjXSURBVP79+5kzZ44mcZ8kkZGRLFq0iI4dO6IoCtu2bWPgwIEGGbp77Ngxpk6dyl9//UV2djZ6vR4rKytNZ9l90ma8LY5RF4LAwECWLVtGhQoVOHToECNGjFCH1f31118Gu6Ds0qVLfPnllw9MOmfoGTENJb/d9siRI2rnKeS125qYmBisb8aQbt26xeDBgzE3N1fP/k6dOkV2djbz588vs3tUG9q5c+c4ePAgAC1atKBOnToGiRsUFMTs2bMZNmwYa9euJTIykkuXLmkyr1W+AQMGsHjxYvWGRPkMcTOih2XUTUNlPawu37hx4xg6dCjTp09n5cqVREREFDpJ1tPiSWi3NbRKlSrx448/cuDAAc6dOwdA69atNeuTeFLVrVsXR0dH9YAnPj7eYHeIq1mzJnq9HlNTU7p166bZBIf5nrQZb4tj1IWgrIfV5cvMzFR/EKpXr86QIUMICgpi2LBhBsvBkPLbbf39/alXr57BRm88CVq0aEGLFi3KOo0yER0dzWeffUZCQgKOjo7Ex8dTu3Ztg9wPwcrKiqysLBo0aMDMmTPVK6u15OfnR+fOnXn11VefqOkkCvNkjWEysPxhde+++26ZDquzsLAgNzeXmjVr8t1337Fjxw7S09MNFr+sJCYm0r17d4YNG8bevXsNepGVMLy5c+cSHh7Oc889x86dO1m+fDlNmjQxSOyZM2eSm5vLpEmTKF++PNeuXWPevHmaxvzyyy/JyMigT58+dO/eneXLlxv0PicPw6j7CCCvEyl/WF358uUBuHjxInfv3jXYNLUnTpygdu3a3Llzh7lz53Lnzh3efvvtQkd6PG0UReHnn38mIiKCU6dO0alTJ7p37/5ETdErHo+goCAiIiLo0qULkZGRmJiY0KVLFzZs2FDWqWnu2LFjREVFsX37dpydnXn11VcfGDhQloy+EIiyd+bMGdauXcu+ffvw9PTk+PHjvPTSS7z//vtlnZp4jHr37s2CBQv48ssvSU5OxtHRkVOnTvHjjz9qHnvXrl3MnTuX+Ph4cnJyyuze3AcPHmTGjBmcP3+eU6dOGTR2caQQlKGiZkTMZ4iZEcvSihUrWL/+/9q7n5Ao+jAO4F9d1txCRBBcTTAQx0TB8BBJsUa4Uc4qGl4CFQIPHfSY4imDLnVYEDeKDgalLOjp1d3+oaKiV1mWgmQLRZCUusRqOLvtznuQ5lXf6A+08xt/8/2A4I6H3zPMyMPveWbn+QcFBQVob29HY2MjnE4n0uk0Ll++jOnpadEh0l/09etX5ObmIp1OY2pqCvF4HM3NzSgoKMj42l6vF8PDw6isrDR9KE80GkU4HMbr169RWlqKpqYmXLlyxZTz/l22bhaLFolEUFxcDFVVUVtba7sa+ZcvXzA8PPy/1zFnZ2cbT1yQPL6XXrOzs9HW1oZ0Oo1QKISWlpaMr+12u6EoiqlJwO/34/nz58jPz4eqqggGg3C73aat/ye4IxAolUphaWkJ4XAYKysraGhogM/nM22WrSiapiEYDGJ9fR2KoqC9vd2Y0kby2d7extjYGLa2tnDp0iWcP38eY2NjGBkZQWVlJR4+fJjxGKLRKIaGhnD27NkD77W6ceNGxtYMBALw+Xw4depUxtb4W2z91JBoDocDHo8H9+7dw/j4OMrKytDZ2YnR0VHRoWVUf38/3rx5A0VRsLCw8NN5wnT03bp1C6urq1AUBRMTE+jq6sLLly/x4MEDU5IAsDcdzeVyQdM07OzsGD+ZdOzYMSMJHH6bsN/vz+jaf0wnoTRN01+9eqX39vbq165d0wOBgL65uSk6rIzy+XzG78lkUm9tbRUYDWXa/uv97ds3/dy5c/ru7q6pMaiqaup6uq4fuK8P3+NWu+e5Hxeor68PsVgMHo8HPT09UBRFdEim2F8GYklIfvuvscPhgNvtNnVEJgB4PB4sLi7iwoULpq2p76u664cq8Ic/i8b/QoEmJyfhcrmwtrZ2YFaxLujRNrO8e/cOdXV1APbOVdM01NXVSX/edmWF6x0MBjEyMgKn0wmn02nK2vsb04eb1GY/ufQrbBYTEWVAVVUVXC6Xkfxyc3MB7CXDRCKBt2/fCo7wP0wERCQ9XdcxOTlpDJD/+PEjPn36ZKkB8iLxqSEikt7g4CAikYgxeOj48eO4c+eO4Kisg4mAiKQXjUZx+/Zto0ltxQHyIjEREJH0jsIAeZH41BARSe8oDJAXic1iIrKFDx8+GAPk6+vrLTdAXiQmAiKyhVQqhc+fPx+YPmjWmEyrY2mIiKT37NkzBAIBFBYWHugNTE1NCYzKOrgjICLpeb1ejI+PW2oGgJWwbU5E0nO73cjLyxMdhmVxR0BE0nry5AkAIBaLYXV1FRcvXjRtHsFRwh4BEUnr+8yBkpISlJSUIJlM8otkP8AdARFJ78WLF7h69eovj9kVewREJL3Hjx//1jG7YmmIiKQ1Pz+PhYUFbG1t4e7du8bx7e1tOBwOgZFZCxMBEUmrqKgINTU1mJ2dRXV1tXH8xIkTGBgYEBiZtbBHQETSSyaTcDqdosOwLO4IiEh6Gxsb8Pv9eP/+PTRNM47PzMwIjMo62CwmIukNDAzg+vXrcDgcePr0KVpbW9HS0iI6LMtgIiAi6Wmahvr6egDAyZMn0dvbi/n5ecFRWQdLQ0QkvZycHKTTaZSVlWF0dBRFRUXGl82IzWIisoFoNIry8nLE43EMDQ0hHo+ju7sbZ86cER2aJTAREBHZHEtDRCStmzdv/vTvjx49MikSa2MiICJpRSIRFBcXQ1VV1NbWggWQH2NpiIiklUqlsLS0hHA4jJWVFTQ0NMDn86GiokJ0aJbCREBEtpBIJBAKhXD//n309PSgo6NDdEiWwdIQEUktkUhgbm4OoVAIGxsb6OzshNfrFR2WpXBHQETS6uvrQywWg8fjgaqqUBRFdEiWxERARNI6ffo0XC4XACArK8s4rus6srKysLy8LCo0S2EiICKyOb5riIjI5pgIiIhsjomAiMjmmAiIiGyOiYCIyOb+BZtFP2tSNUg2AAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.bar([x for x in df_prog_use_PhD.index], df_prog_use_PhD, label=\"have PhD\", color=\"g\", alpha=0.5)\n",
"plt.bar([x for x in df_prog_use_students.index], df_prog_use_students, label=\"Working towards PhD\", color=\"lightblue\", alpha=0.5)\n",
"plt.ylabel('Respondents %')\n",
"plt.title(\"Gap between PhD and students in software usage\")\n",
"plt.xticks(rotation='vertical')\n",
"plt.legend(loc='upper right')\n",
" \n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Stata is the most frequently used software among those who have PhD and those who work towards it as well.\n",
"<br> The proportion of respondents use a certain programming language is **quite similar, except from R and Python**: grad students are much more likely to use these languages, which shows the **openness of the younger generation towards data science softwares**."
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"# tool_familiar"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_tool_familiar_PhD = sns_multiple_barplot_pct_byPhD(scs_PhDsorted,'tool_familiar','yes', 'Percentage of PhD familiar with a certain tool')\n",
"df_tool_familiar_students = sns_multiple_barplot_pct_byPhD(scs_PhDsorted,'tool_familiar','working towards it', 'Percentage of grad students familiar with a certain tool')"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.bar([x for x in df_tool_familiar_PhD.index], df_tool_familiar_PhD, label=\"have PhD\", color=\"g\", alpha=0.5)\n",
"plt.bar([x for x in df_tool_familiar_students.index], df_tool_familiar_students, label=\"Working towards PhD\", color=\"lightblue\", alpha=0.5)\n",
"plt.ylabel('Respondents %')\n",
"plt.title(\"Gap between PhD and students in software awareness\")\n",
"plt.xticks(rotation='vertical')\n",
"plt.legend(loc='upper right')\n",
" \n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Dropbox, latex and Google Drive are known by nearly all of the respondents.\n",
"<br>The software awareness is similar for the two groups, except for beamer and Tableau. The former is more widely known among those who have PhD, and the latter among grad students. There is a smaller, around 10 percentage point difference in the awareness about SQL favoring PhDs, and for GitHub, OverLeaf and Jupyter Notebook favoring grad students."
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [],
"source": [
"# tool_use"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_tool_use_PhD = sns_multiple_barplot_pct_byPhD(scs_PhDsorted,'tool_use','yes', 'Percentage of PhD used a certain tool')\n",
"df_tool_use_students = sns_multiple_barplot_pct_byPhD(scs_PhDsorted, 'tool_use', 'working towards it', 'Percentage of grad students used a certain tool')\n"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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8+HCCg4NZuXIlrVq1UmfxTJw4ERcXFwCmT5/OV199hYuLC4sXL6Zr164PxPHw8KBTp04MHjyYoUOH0rp160Lb7N69O4sXL8bT05M///yTzz77DLj3K3XVqlVs3bqVNm3a0Lp1a+bNm6d+ufTt25cLFy7g5ubGO++8A9z7MrKzs1O7IOzt7alVqxaurq6Ym5s/UtxJkyZRp04d+vfvj6urK4MHD37oGENJyp8J4+Pjw08//cTkyZMZM2aM0cc+//zzDB06lAEDBvDyyy9z/vx5XF1dH7mtzz//nFOnTuHp6cnixYvx9/cv9LFXr15VZ54FBATw6quv0rJlSwBGjBjB0qVLcXNzY9WqVTg4ODB9+nQ++OAD2rZti42NjUGXRVBQEDVq1KBDhw4MHTrU4KjH3NycZcuWce7cOTp06EDLli354IMPSEtLe6TndH8ut2/fZvTo0bRo0QJfX188PDwe+SjrfxEUFERwcDBubm5s3bqVl19+mTFjxvDuu+/SunVroqOj1dlHFStWZNmyZaxevRpPT09WrlzJsmXL1EL/MH5+fjRo0ABvb2+GDh1q8EMsOzubzz//HE9PT1q3bk1iYiLjx48H4P333+fnn3/G1dWVadOmGezn5OTEl19+yWeffYanpycXLlygSZMmajdcp06deOuttxg/fjyurq50796d/fv3a/nylSidojxmZ3Q9RWJiYujQoQN//vnnI/XNCiEeb3l5ebRt25Z58+apPwKeZHIEIYQQJjhw4AApKSlkZ2ezbNkyAJo3b17GWWmjxArE5MmT8fLyonv37uq25ORkhgwZgo+PD0OGDFGnHyqKwocffkinTp3o0aMHf/75Z0mlJYQQmjp58iSdOnXC09OTvXv3snjxYqytrcs6LU2UWBfT0aNHsbW1VfvvAD799FMqVKjAiBEj1IG2SZMmsW/fPr755hv+85//cOrUKebMmSMLbgkhRBkrsSMId3f3B+af7969Wx3M8/f3Z9euXQbbdTodzZs3JyUl5ZEXaRNCCFEySnVkNCEhQZ3jX6VKFYOpkQVnalSrVo24uDij5wOEhoYSGhoKwOXLl3n22WdLIXMhhPj3uH79+iMtz15mU2d0Ol2xlhsICAggICAAgN69exMWFqZ1akII8a9WcPWDhynVWUyVKlVSu47i4+PVucvOzs4GZx/evHnzsTwzVwghnialWiC8vb0JDw8H7q2D06FDB4PtiqJw8uRJHBwcHrrchBBCiJJXYl1M48eP58iRIyQlJdG2bVveffddRowYwdixY1m/fj01atRgwYIFwL3T1fft20enTp2wsbFh7ty5JZWWEEKIR/REn0ktYxDiaaDX64mJiTFYaE6IR2FtbU2tWrUeWIH3Ub87ZX0HIR5zMTExODg4ULdu3WJfR0I8fRRFISEhgZiYmGLP9pSlNoR4zN29e5dKlSpJcRD/E51OR6VKlUw68pQCIcQTQIqDKA5T3zdSIIQQQhglYxBCPGESMxNJyUrRLJ6jlSNONoVfTyEmJobAwMCHXitdS2FhYXz66ac4Ozuj1+sZPHgw/fv3Z+HChdja2jJs2LAH9mnYsCH169cnJycHc3Nz/P39GTx4cIlc4Ohp8tQWCC0/ZEV9wITQUkpWCmtOrtEs3uDmgx+796+vry8hISEkJCTQrVs3vL29H/p4a2trIiIigHtL+kyYMIG0tDRGjx5dGun+az21BULLD9nj+AETQku5ubl88MEHREVF4ezszJIlS7C2tubHH38kNDQUvV5PnTp1+PTTT8nJyaFnz57s3r0bMzMzMjIy6Nq1K7t27eLGjRvMnDmTpKQkrK2tmT17tno9dmMqVarEM888o16H+sKFCwwaNIjY2FjefPNN3njjDaP7zJ49m759+/Luu+/K+I0J5PhLCFGkq1ev8vrrr7NlyxYcHBzYsWMHcO+Smhs2bGDTpk0899xzrF+/HgcHBxo0aMCRI0cAiIyMpHXr1pQrV45p06Yxbdo0wsLCeP/995k5c+ZD242OjiY6OppnnnkGuLdA56pVq/jpp59YvHgxer3e6H61a9cmNzdXXRBUFM9TewQhhHh0tWrVomHDhgA0btyY69evA/DPP/+wYMECUlNTSU9PV6+n7uvry9atW2nZsiVbtmzhtddeIz09naioKIPrhOdf2/x+W7du5fjx41haWjJr1iwqVKgA3Ft1wdLSEicnJ5ycnEhISDBYCVpoSwqEEKJIlpaW6t/m5uZkZWUBEBwczJIlS2jQoAFhYWHqUYO3tzdffPEFycnJ/Pnnn7Rs2ZLMzEwcHR3VsYKHyR+DKCqPnJwco/tHR0djbm5OpUqV/qfnKQxJF5MQotjS09OpUqUKer2ezZs3q9vt7Oxo0qQJc+bMoX379pibm2Nvb0+tWrXYtm0bcO9M33PnzmmeU2JiItOnT+f111+X8QcTyRGEEE8YRytHBjcfrGm84hozZgz9+vXDycmJl156ifT0dPU+X19fxowZwzfffKNu++yzz5gxYwZLly4lJycHX19fGjRoYFL+cO9scz8/P3Waq5+fH0OGDDE57tPuqV2s70ryFU1nMdWtUFeTWELc7+zZs2r/vxD/K2Pvn0f97pQuJiGEEEZJgRBCCGGUFAghhBBGSYEQQghhlBQIIYQQRkmBEEIIYZQUCCGeMFm5uaTrczT7Lys396HtzZ07lzVr1qi3hw0bxtSpU9XbH3/8MatXr37k/GNiYujevfsD28+cOcOHH374yHEeZteuXVy4cEGTWMUxaNAgzpw580iPXbhwIW3atMHPz4/u3buze/du4N5Z6tu3b3/g8TExMTRr1gx/f3+6du1K3759iz3dvyhyolwJkeXERUnJyVO4eidTs3h1yttgZV74/a6urmzbto3BgweTl5dHUlISaWlp6v1RUVFMnjz5kdoqbGkMgKZNm9K0adNHzvthdu3aRfv27Xn++ec1ifcwOTk5WFiY9lU6ePBghg0bxsWLF3nttdc4ePDgQx//zDPPEB4eDtxbViQoKAhFUejTp49JedxPCkQJkeXExb+Fi4sLH330EXBvcb4XXniBW7ducefOHWxsbLh48SKNGjVCURQ+/fRTDhw4gE6n4+2338bX15fDhw/z5Zdf4ujoqK7Gmi86Opp3332XWbNmkZmZyX//+1+WL1/OwoULiY2NJSYm5oGlvRcvXsymTZtwcnKievXqNG7c2OAiQidOnGDPnj0cOXKEpUuXsnDhQtLT05k+fTqZmZk888wzzJ07l5ycHIYPH05YWBjnzp3Dz8+PvXv3UqNGDTp27MjmzZs5ePAgS5cuRa/XU6FCBebNm0flypVZuHAh165dIzo6mho1ajB37lwmT57MuXPneO6559TrQOfm5jJ16lT++OMPdDodffr0YfDgwYW+1vXq1cPCwoKkpCQAjh07xpo1a7h16xaTJk2iS5cuD+xTu3ZtgoOD+eSTT6RACCFKl7OzM+bm5sTGxhIVFUXz5s2Ji4vj5MmT2NvbU79+fSwtLdmxYwfnzp0jIiKCpKQk+vbti5ubGwB//fUXmzdvpnbt2sTExABw6dIlxo8fz8cff0yDBg04fPiwQbuXL19m7dq1pKWl0bVrV1599VXOnj3Lzp072bRpE3q9nt69e9O4cWOD/VxdXfH29qZ9+/bqF2qPHj2YNm0aHh4efPnllyxatIipU6eSlZVFWloax44do0mTJhw7dowWLVpQqVIlbGxsaNGiBT/++CM6nY6ffvqJlStXEhwcDMDFixf5/vvvsba2ZvXq1VhbW7Nt2zbOnTtH7969gXtnMcfFxalX40tJeXivwqlTp9DpdDg53ftBGB8fz/fff8+lS5d4++23jRYIuLfC7qVLlx753/RRSYEQQhTJxcWFqKgooqKiGDJkCHFxcZw4cQIHBwdcXV0BOH78ON26dcPc3JzKlSvj7u7OmTNnsLe3p2nTptSuXVuNl5iYyDvvvMOiRYsK7QYytrT3iRMn6NChA1ZWVlhZWfHKK68UmXtqaiqpqal4eHgA0KtXL3XJcRcXF44fP87Ro0cJDAzkwIEDKIpCixYtALh58ybjxo3j1q1bZGdnU6tWLTWut7c31tbWABw9epRBgwYB0KBBA1588UXg3q/76OhoZs+eTbt27dTl0O+3Zs0aNm3ahJ2dHQsWLFAXGezYsSNmZmY8//zz3L59u9DnWFIrJskgtRCiSK6urkRFRXH+/HleeOEFXnrpJU6ePElUVBQuLi5F7m9ra2tw28HBgRo1anD8+PFC93nUpb1N4ebmxvHjx4mNjaVDhw6cO3eO48ePq0c+H374Ia+//jqbN29m1qxZBtevsLGxKTJ++fLliYiIwMPDg3Xr1hkM7hc0ePBgIiIi+P7779W2wfA1eJi//vrroVfmKy4pEEKIIrm6urJ3717Kly+Pubk5FSpUIDU1lZMnT6oFws3NjW3btpGbm0tiYiLHjh2jWbNmRuOVK1eORYsWER4ebrBM+KPmkZWVRXp6OpGRkUYfZ2dnp64s6+DggKOjI8eOHQMgIiICd3d3NedNmzZRp04dzMzMKF++PPv371ePIFJTU3F2dgZQB4WNcXd3V7uRzp8/z99//w3cO1JSFIXOnTszduxY/vrrr0d+ro8qJiaGTz/9lIEDB2oeW7qYhHjCWJjpqFO+6F+v/0u8otSvX5+kpCSD6an169cnPT1d7S/v1KkTUVFR+Pn5odPpmDRpElWqVCm0b9zW1pbly5czZMgQbG1tsbe3LzKPZs2a4e3tTc+ePalUqRL169fHwcHhgcf5+voybdo0vvnmG7766is++eQTdZC6du3a6qB7rVq1UBRFLRgtWrTg5s2blC9fHoCgoCDGjBlD+fLl8fT0VMdP7vfqq68yefJkunbtSr169dRxkfj4eCZPnkxeXh4A48ePL/I5Popr167h7+9PVlYWdnZ2DBo0SB330JIs960BY8t9y3LiQiuy3Leh9PR07OzsyMzM5PXXX2f27NkPDFSL/8+U5b7lCEII8UQJCQnhwoULZGVl0atXLykOJUgKhBDiifL555+XdQpPDSkQTyg5U/vpoiiKXF9Z/M9MHUGQAvGEkjO1nx7W1tYkJCRQqVIlKRLikSmKQkJCgnquRnFIgRDiMVerVi1iYmK4detWWacinjDW1tYGJ/f9r6RACPGYK1euHM8++2xZpyGeQnKinBBCCKPK5AhizZo1/PTTT+h0OurXr89HH31EfHw848ePJzk5mcaNG/Ppp58+8mnmQgghtFfqBSIuLo61a9eydetWrK2tGTNmDFu2bGHfvn0MHjyYbt26ERISwvr163nttddKOz3N2JZzpFO9By+KUtxYQghR2srkCCI3N5e7d+9iYWHB3bt3qVKlCocOHVLnN/fq1YtFixY90QVCwYzTcTc0ifW8U8lf9EQIIe5X6gXC2dmZoUOH8sorr2BlZUWrVq1o3Lgxjo6O6lWZqlWrRlxcnNH9Q0NDCQ0NBVAvqiGEEEJ7pT5IfefOHXbv3s3u3bs5cOAAmZmZHDhw4JH3DwgIICwsjLCwMCpWrFiCmQohxNOt1I8gfv/9d2rVqqWuAOnj48OJEydISUlRr+168+ZNdYldIYQQZaPUjyBq1KjBqVOnyMzMRFEUDh48yPPPP4+npyc7duwAYOPGjXh7e5d2akIIIQoo9SOIl156ic6dO9OrVy8sLCxo2LAhAQEBtG/fnnHjxrFgwQIaNmxIv379Sjs1IYQQBZTJLKbRo0czevRog221a9dm/fr1ZZGOEEIII+RMaiGEEEZJgRBCCGGULNYnjMrKzSUnT5ur0VqY6bAyN9cklhCi9EiBEEbl5ClcvZOpSaw65W2wkvogxBNHupiEEEIYJQVCCCGEUVIghBBCGCUFQgghhFFSIIQQQhglBUIIIYRRUiCEEEIYJQVCCCGEUU/tiXJyzWghhHi4p7ZAyDWjhRDi4aSLSQghhFFSIIQQQhglBUIIIYRRUiCEEEIYJQVCCCGEUVIghBBCGCUFQgghhFFSIIQQQhglBUIIIYRRj1wgTp48ybBhwxg0aBC7du0qyZyEEEI8BgpdauPWrVtUqVJFvb169WoWL16Moij079+fjh07lkqCQgghykahBWL69OmaajE5AAAgAElEQVQ0atSI4cOHY2VlhaOjI9u3b8fMzAw7O7vSzFEIIUQZKLSLacmSJTRq1IiRI0cSHh7OlClT0Ov1JCcns2TJktLMUQghRBl46BiEt7c3q1atIjU1laCgIOrWrcsbb7yBk5NTaeUnhBCijBTaxbR7927WrFmDhYUFI0eOxM/PjyVLlvD9998zbtw4nnnmmdLMU5SyrJxsku8maxKrmp05duWe2pXlhXhiFfqpXbBgAevXr+fu3bsMGzaM9evXExwczJUrV/jiiy/44osvSjNPUcr0edmcunlSk1j1KrYBbDWJJYQoPYUWCAcHB3bu3Mndu3epVKmSur1u3bpSHIQQ4ilQ6BjEokWLSE5OJicnh88//7w0cxJCCPEYKPQIwsnJiUGDBpVmLkIIIR4jstSGEEIIo8qkQKSkpDB69Gi6dOlC165diYqKIjk5mSFDhuDj48OQIUO4c+dOWaQmhBDi/xRZIDIyMsjLywPg8uXL7N69G71eb1Kjc+bMoU2bNmzfvp2IiAjq1avHihUr8PLyYufOnXh5ebFixQqT2hBCCGGaIgvEwIEDycrKIi4ujmHDhhEREUFwcHCxG0xNTeXo0aP07dsXAEtLSxwdHdm9ezf+/v4A+Pv7y4KAQghRxoo8e0lRFGxsbFi/fj2vvvoqw4cPx8/Pr9gNxsTE4OTkxOTJkzl37hyNGzdm6tSpJCQkULVqVQCqVKlCQkKC0f1DQ0MJDQ0FICkpqdh5CCGEeLgijyAURSEqKorNmzfTvn17ALXLqThycnL466+/ePXVVwkPD8fGxuaB7iSdTodOpzO6f0BAAGFhYYSFhVGxYsVi5yGEEOLhiiwQU6dOZfny5XTs2JEXXniB6OhoPD09i91gtWrVqFatGi+99BIAXbp04a+//qJSpUrEx8cDEB8fL+s9CSFEGSuyQNy+fZtly5YxYsQIAGrXrk2LFi2K3WCVKlWoVq0aly5dAuDgwYPUq1cPb29vwsPDAQgPD6dDhw7FbkMIIYTpiiwQxmYTmTrDaNq0aUycOJEePXpw9uxZAgMDGTFiBL/99hs+Pj78/vvvakESQghRNgodpN63bx/79+8nLi6ODz/8UN2elpaGubm5SY02bNiQsLCwB7Z//fXXJsUVQgihnUILhLOzM02aNGHPnj00btxY3W5nZ8fkyZNLJTkhnkZZubnk5CmaxLIw02Fl4g868fQqtEA0aNCABg0a0L17d8qVK1eaOQnxVMvJU7h6J1OTWHXK22Al9UEUU5HnQZw+fZpFixYRGxtLTk4OiqKg0+nYvXt3aeQnhBCijBRZIKZOncrkyZNp0qQJZmaytp8QQjwtiiwQDg4OtGvXrjRyEUII8RgpskB4enryySef4OPjg6Wlpbq94MC1EEKIf58iC8SpU6cA+OOPP9RtOp2OtWvXllxWQgghylyRBeKbb74pjTyEEEI8Zh5pqY0pU6bw1ltvAXDhwgV++umnEk9MCCFE2SqyQAQHB9O6dWt1Ib26detK95IQQjwFiiwQSUlJ+Pr6qlNcLSwsZLqrEEI8BYocg7C1tSUpKUm9PsPJkydxcHAo8cTEw9mWc6RTve6axRJCiPsVWSCCg4N5++23uXbtGgMGDCApKYkvv/yyNHITD6Fgxum4G5rEet7peU3iCCH+XYosEI0bN+bbb7/l8uXLKIrCs88+K2szCSHEU6DQArFz506j269cuQKAj49PiSQkhBDi8VBogdi7dy8ACQkJREVF0bJlSwAOHz6Mi4uLFAghhPiXK7RAfPTRRwAMHTqULVu2ULVqVeDe9aLlehBCCPHvV+R81Rs3bqjFAaBy5crExsaWaFJCCCHKXpGD1F5eXgwbNoxu3boBsHXrVl5++eUST0wIIUTZKrJAhISEsHPnTo4dOwZAQEAAnTp1KvHEhBBClK0iCwTcm7Ekg9JCCPF0KbJA7Ny5k3nz5pGQkICiKOolR0+cOFEa+QkhhCgjRRaIzz77jGXLllGvXr3SyEcIIcRjoshZTJUqVZLiIIQQT6EijyCaNGnC2LFj6dixo8ElR2VMQggh/t2KLBDp6enY2Njw22+/GWyXAiGEEP9uRRaI/DOqhRBCPF2KHIO4efMmo0aNwsvLCy8vL959911u3rxZGrkJIYQoQ0UWiMmTJ+Pt7c2BAwc4cOAAr7zyiqzFJIQQT4EiC0RiYiJ9+vTBwsICCwsLevfuTWJiYmnkJoQQogwVWSAqVKhAREQEubm55ObmEhERQYUKFUojNyGEEGWoyAIxd+5ctm3bRqtWrWjVqhU7duyQgWshhHgKFDmLqWbNmixbtqw0chFCCPEYKfIIIjo6msDAQFq2bImXlxdvv/020dHRpZGbEEKIMlRkgZgwYQJdunTh119/5cCBA3Tp0oXx48eXRm5CCCHKUJEFIjMzE39/f3UWk5+fH1lZWSY3nJubi7+/PyNHjgTuHan069ePTp06MXbsWLKzs01uQwghRPEVWSDatm3LihUriImJ4fr16/znP/+hXbt2JCcnk5ycXOyG165da7AI4Lx58xg8eDC//PILjo6OrF+/vtixhRBCmK7IQept27YBsG7dOoPtW7ZsQafTsXv37v+50Zs3bxIZGUlgYCBr1qxBURQOHTrE559/DkCvXr1YtGgRr7322v8cWwghhDaKLBB79uzRvNG5c+cyadIk0tPTAUhKSsLR0RELi3vpVKtWjbi4OKP7hoaGEhoaqu4nhBCiZBTZxbRt2zbS0tIAWLJkCUFBQfz111/FbnDv3r04OTnRpEmTYu0fEBBAWFgYYWFhVKxYsdh5CCGEeLgiC8SSJUuwt7fn2LFjHDx4kL59+zJ9+vRiN3jixAn27NmDt7c348eP59ChQ8yZM4eUlBRycnKAe11Qzs7OxW5DCCGE6YosEObm5gDs27eP/v370759e/R6fbEbnDBhAvv372fPnj3Mnz+fli1b8vnnn+Pp6cmOHTsA2LhxI97e3sVuQwghhOmKLBDOzs6EhISwdetW2rVrR3Z2Nnl5eZonMmnSJFavXk2nTp1ITk6mX79+mrchhBDi0RU5SL1gwQIOHDjA0KFDcXR0JD4+nvfee0+Txj09PfH09ASgdu3aMrVVCCEeI0UeQdjY2ODk5MTx48cBsLCwoE6dOiWemBBCiLJVZIFYtGgRK1euZMWKFQDo9XomTZpU4okJIYQoW0UWiF9++YWlS5diY2MD3BuTyD9/QQghxL9XkWMQ5cqVQ6fTodPpAMjIyCjxpMS/W2JmIilZKZrEcrRyxMnGSZNYQghDRRaIrl27EhISQkpKCj/++CMbNmyQGUbCJClZKaw5uUaTWIObD5YCIUQJKbJADBs2jN9++w07OzsuX77M6NGjadWqVWnkJoQQogwVWSAA9XKjAHl5eWzatImePXuWaGJCCCHKVqGD1GlpaSxfvpxZs2bx66+/oigK3377LR07dlRXeBVCCPHvVegRxKRJkyhfvjzNmzfnp59+Yvny5SiKwuLFi2nYsGFp5iiE0FBWbi45eYomsSzMdFj933I84t+n0AIRExPD0qVLAejXrx+tW7cmMjISKyurUktOCKG9nDyFq3cyNYlVp7wNVlIf/rUK7WLKvzYD3Fuwr1q1alIchBDiKVLoEcS5c+dwdXUFQFEUsrKycHV1RVEUdDodJ06cKLUkhRBClL5CC8TZs2dLMw8hhBCPmSKX2hBCCPF0kgIhhBDCKCkQQgghjJICIYQQwigpEEIIIYySAiGEEMKoR1qsT4gniSwlIYQ2pECIfx1ZSkIIbUgXkxBCCKOkQAghhDBKCoQQQgijpEAIIYQwSgqEEEIIo6RACCGEMEoKhBBCCKOkQAghhDBKTpQT/zpZOdkk303WJFY1O3Psyhl+TJLvppOVq9ckvpV5OSpY22kSSwitSYEQ/zr6vGxO3TypSax6FdsAtgbbsnL1hJ09oEn83g3baBJHiJIgXUxCCCGMkgIhhBDCKCkQQgghjCr1MYgbN27w3nvvkZCQgE6no3///rz55pskJyczbtw4rl+/Ts2aNVmwYAHly5cv7fSEEEL8n1I/gjA3Nyc4OJitW7cSGhrK999/z4ULF1ixYgVeXl7s3LkTLy8vVqxYUdqpCSGEKKDUC0TVqlVp3LgxAPb29jz33HPExcWxe/du/P39AfD392fXrl2lnZoQQogCynSaa0xMDGfPnuWll14iISGBqlWrAlClShUSEhKM7hMaGkpoaCgASUlJpZarEEI8bcqsQKSnpzN69GimTJmCvb29wX06nQ6dTmd0v4CAAAICAgDo3bt3iecphBBPqzKZxaTX6xk9ejQ9evTAx8cHgEqVKhEfHw9AfHw8Tk5OZZGaEEKI/1PqBUJRFKZOncpzzz3HkCFD1O3e3t6Eh4cDEB4eTocOHUo7NSGEEAWUehfT8ePHiYiIoH79+vj5+QEwfvx4RowYwdixY1m/fj01atRgwYIFpZ2aEEKIAkq9QLi5ufH3338bve/rr78u5WyEEEIURs6kFkIIYZQUCCGEEEZJgRBCCGGUFAghhBBGSYEQQghhlBQIIYQQRkmBEEIIYZRck1qUOttyjnSq112zWP82WTnZJN9N1iRWNTtz7MoZfsxLOr7495B/WVHqFMw4HXdDk1jPOz2vSZzHiT4vm1M3T2oSq17FNoBtqcYX/x7SxSSEEMIoKRBCCCGMkgIhhBDCKCkQQgghjJICIYQQwigpEEIIIYySAiGEEMIoKRBCCCGMkhPlhBCaScxMJCUrRZNYjlaOONk4GWzLys0lJ0/RJL6FmQ4rc3NNYv1bSYEQQmgmJSuFNSfXaBJrcPPBDxSInDyFq3cyNYlfp7wNVlIfHkq6mIQQQhglBUIIIYRRUiCEEEIYJWMQQognRkkvVV7Sg+wlHV9rUiCEEE+Mkl6qvKQH2Us6vtaki0kIIYRRUiCEEEIYJQVCCCGEUTIGIYQQpeRJux67FAghhCglT9r12KWLSQghhFFSIIQQQhglBUIIIYRRUiCEEEIYJQVCCCGEUVIghBBCGPVYFYj9+/fTuXNnOnXqxIoVK8o6HSGEeKo9NgUiNzeXWbNmsXLlSrZs2cLPP//MhQsXyjotIYR4aj02BeL06dPUqVOH2rVrY2lpSbdu3di9e3dZpyWEEE8tnaIo2lwB3ETbt2/nwIEDzJkzB4Dw8HBOnz5NSEiIweNCQ0MJDQ0F4PLlyzz77LMlmldSUhIVK1Z8IuM/ybk/6fGf5NwlftnFLo34ANevX+fw4cNFP1B5TGzbtk2ZMmWKenvjxo3KzJkzyzCje3r16vXExn+Sc3/S4z/JuUv8sotdGvH/F49NF5OzszM3b95Ub8fFxeHs7FyGGQkhxNPtsSkQTZs25cqVK0RHR5Odnc2WLVvw9vYu67SEEOKpZT5jxowZZZ0EgJmZGXXr1mXSpEl8++239OzZk86dO5d1WgA0adLkiY3/JOf+pMd/knOX+GUXuzTiP6rHZpBaCCHE4+Wx6WISQgjxeJECIYQQwigpEEIIIYySAvEvkpeXx9atW0u0jWPHjrFhwwYAEhMTiY6OLtH2SkJaWhppaWllncYj27ZtG0CJvtZffvmlwe3c3FwmTJigWfy8vDxOnDihWbxHsWbNGpP2z83NZd26dSxYsIDjx48b3LdkyRKTYhcmMzOzROIWlxQIIxYsWEBOTo56Oy0tjcmTJ2sW39gaU490VmMRzMzMWLlypclxCrNo0SJWrlypLqSo1+uZNGmSZvHffPPNR9pWXKdPn6ZHjx707NlT/f8ff/yhWXy496USFxdHbGys+p+p8l/v0aNHmxyrMDdv3mT58uUAZGdnExQURN26dTWLb2ZmxqxZszSL9yhMLRAhISEcPXqUChUqMGfOHD766CP1vl9++cXE7AydOHECX19funbtCsC5c+d4HCaYWpR1Ao+j3Nxc+vfvz9y5c0lISGDWrFkMGjRIs/hjx46lZ8+eDB8+nKysLD777DP++OMPdQkRU7z88susWrUKX19fbGxs1O0VKlQwOfYvv/xCeHg4vXr1Au6d3Jienm5y3KysLDIzM0lKSuLOnTvkT6xLS0sjLi7O5Pj5pk6dyvTp03FzcwPuHQ1NnjyZzZs3axL/m2++YdGiRVSuXBkzs///28vU+BUqVGDo0KHExMQQGBj4wP3Lli0zKT7A3LlzmThxIsuXL+fw4cO0bduWwYMHmxy3IC8vL3bs2IGPjw86nU7T2MaYOkHz9OnT6r/dwIEDmTlzJkFBQcyfP9/k2Pf76KOPWLVqFW+//TYADRo04NixY5q2URxSIIyYMGECL7/8Mv3798fR0ZHvvvuOOnXqaBb/xx9/ZN68eQwYMID09HR69OjBDz/8oEns/C6m7777Tt2m0+k0WfiwXLly6HQ69cOdkZFhckyAdevW8fXXXxMfH68WHwB7e3sGDhyoSRsA5ubmanEAcHNzw8JCu4/A2rVr2b59u+br6Cxfvpy//vqL9957j6FDh2oa+88//1T/fuONNwgJCcHV1RV3d3f+/PNPGjdurFlb69atY/Xq1Zibm2NlZYWiKOh0uhLrejK1COn1evVvCwsLZs+ezaJFi3jjjTc0e+8XVL16dYPbBX9klBUpEEYcPXqUDz/8kFGjRnH+/Hlmz57NnDlzNFv6w8LCAisrK+7evUtWVha1atXS7M2wZ88eTeIY07VrV0JCQkhJSeHHH39kw4YN9O/f3+S4b775Jm+++SbffPONpkdq+fK/BN3d3QkJCaFbt27odDq2bt2Kh4eHZu1Uq1YNBwcHzeLls7S0pHnz5qxbtw4nJydNY3/88ccGtx0dHblw4QIff/wxOp2OtWvXatZWVFSUZrHyubi4oNPpDH7R59/OysoyKXaTJk3Yv38/bdu2VbcFBQXh7OysefdP9erVOXHiBDqdDr1ez9q1a6lXr56mbRSHnChnRN++ffn44495/vnnAdi5cyfz589n+/btmsTv2bMnHTp04J133iEpKYnp06dTrlw5vvrqK5NjZ2Zmsnr1am7cuMHs2bO5cuUKly9f5pVXXtEgc/jtt9/49ddfAWjdujWtWrUyOebBgwfx8vJi586dRu/38fExKf7Dio4WX4KrV68G4J9//uHy5cu0b98eS0tL9f4hQ4aYFD9fYmIi//nPf7hw4YLBl5+WX+IlSVEUNm3aRExMDKNGjeLGjRvcunWLZs2alXVqZS4xMZE5c+Zw8OBBFEWhVatWTJ06tcRXdS2KHEEYERoairm5uXrbx8cHd3d3zeLPmTOHpk2bAlC1alWWLl1KeHi4JrEnT55M48aN1V9rzs7OjBkzRpMCsXr1anx9fTUpCgUdPXoULy8v9u7da/R+UwvEN998Y9L+Rckfh6lRowY1atRAr9cbdE9oZeLEiXTt2pXIyEhmzpzJxo0bNTuiSE1NZdGiRRw9ehQADw8PRo0apekR0YwZMzAzM+PQoUOMGjUKW1tbZs6cqc6KM8Xvv/+uTv5o2rQpLi4uJseMiIhAURT8/f0NtoeHh2Nubk6PHj1MbiOfmZkZn3/+ucG26OhoKRCPo4yMDBYuXKgOEuV/WLTStGlTjh07xtWrV+nTpw+JiYm0aNFCk9jXrl1jwYIFbNmyBQAbGxvNBtTS09MZOnQo5cuXx9fXly5dulC5cmWT4+bPznnhhRcMugt0Oh329vacPXuWhg0bmtzOokWLjG4PCgoyKa6x/fPy8sjIyMDe3t6k2AUlJyfTr18/1q5di4eHBx4eHvTp00eT2FOmTOGFF15Qp7tGREQwefLkQl+z4jh9+jQbN25Uv3DLly9vciG9ceMG77zzDnZ2dup4yc6dO7GysmLp0qVERETQr1+/YsX+9ttvjc6E8vHxYeDAgZoWiMDAQFauXKm+Xy5evMiYMWP4+eefNWujOKRAGFHSH5ZFixbxxx9/cPnyZfr06aNOF123bp3JsS0tLbl79646QHft2jWD7g5TBAUFERQUxLlz59i2bRsDBw6kWrVqJk8nzPfnn3/yxx9/4O3tjaIo7N27lxdffJF169bRpUsXhg8fblJ8W1tb9e+srCwiIyN57rnnTE1bNWHCBGbOnImZmRl9+/YlLS2NN954g7feekuT+PkD6lWrViUyMpKqVaty584dTWJfu3aNhQsXqreDgoLw8/PTJHY+CwsLcnNz1fdmYmKiyWNvM2fOZNCgQfTu3dtge3h4OAEBAeh0umIXiJycHOzs7B7Ybmtrq/kRYmBgIIGBgSxfvpzLly/z/vvvM2/ePE3bKJbSvwTF469nz56PtM2U+Hl5eYqfn5+6rXv37prE/vXXX5XXX39d8fT0VMaPH6+88soryqFDhzSJnS8+Pl5Zu3atEhAQoFneiqIor732mpKWlqbeTktLU15//XUlMzNT6dq1q2bt5MvKylIGDhyoWbz890hERITy0UcfKdnZ2Zq+Pnv27FFSUlKUv//+Wxk4cKDSq1cvZdeuXZrE7t+/v3L06FH19rFjx5T+/ftrEjtfRESEMnLkSKVNmzbK/PnzFR8fH2XLli0mxfTx8Sn0vjZt2ii3b98uduwuXboo6enpD2xPTU1VOnfuXOy4hfnll1/Uz9SlS5c0j18ccgRhhLW1NceOHVOnRB4/fhxra2vN4pfUdFGAVq1a0ahRI06dOoWiKEydOlWzfurvvvuO7du3k5iYSJcuXfjwww/VgXwtJCQkGBztlCtXjtu3b2Ntba3ZUVBBmZmZBhepMlVOTg56vZ5du3YxcOBA9d9ZK/njSA4ODpqPq8yYMYP333+ftLQ0FEWhfPnyD8xwMlXPnj1p3Lgxhw4dQlEUlixZYvJMHaWQ7tO8vDysra2pVKlSsWP37duX0aNHM3PmTGrWrAlATEwMs2bNom/fvsWOW9Ds2bMN3iOpqanUrl1bnab+wQcfaNJOcUmBMKKkPyzGposW9zDYmLi4OHJzc8nNzVXHUUwd6IV7Z9tOmTJFk/EAY3r06EH//v3p0KEDcG/Kbvfu3cnIyNBkyl/BPuO8vDwSExM1HVsKCAjA29ubBg0a4O7uzvXr1zUdg7h8+TIzZswgISGBn3/+mXPnzrFnzx7eeecdk2M3bNiQTZs2qUuQaJl3vp9++ol+/foZ/FvOmzePiRMnFjtmu3bt+OCDD5gyZYrahZiRkcFHH31kMD21OIYNG4atrS0DBw5Uf8TZ2toyfPhwXnvtNZNi57v/ug9anneiBZnm+hAl+WEpiemicG8W099//80LL7xg0L9bcJmA/1VaWhr29vYkJycbvV+Ls7TznTlzRj1xytXVVZ3tpYXr16+rf1tYWFCpUiVNT5QzJicnR7M2Bg4cyHvvvUdISIg666179+6aDGSWxiym4cOHq0ucwL3xg6ysLObOnVvsmHq9nvnz5xMWFqb+yo+NjaVXr16MGzdOsyPPkvwueJzJEYQRSUlJLF68mOPHj6PT6XB1dWXUqFGaTTn77LPPmDRpkkFRyN9mqlOnTmm+YN+ECRNYvnw5vXv3NnpSkhZnaedr2rSppkUBUAvb/QOO+R96LQtcZGQk//zzj8F5CqbOksqXmZn5wDkDBadjm6I0ZjEtXLiQt99+GzMzMw4cOICDg4NJxQHg7NmzDBkyhDFjxnD16lWOHDnC3r170ev1ZGRkmFQg5syZw9SpUwHYsGGDwbpgwcHBmvYqXLlyhfnz5z9wjouWn63ikAJhxPjx43Fzc1NPXNu8eTPjxo3TbLbO77///sC2/fv3a1IgmjdvzoULFzQdG1i+fDmKovDtt99So0YNzeKWloKF7datW1StWtVgKq1WH8KQkBDu3r3L4cOH6devHzt27NC02FWsWJFr166pfdbbt2+nSpUqmsQuyVlMBY8881cocHV1JSgoiOTkZJMK9PTp01m9ejXW1takpKSwfPlypk2bxtmzZwkJCTHp5NOCayGFh4cbFIi///672HGNmTx5MqNHj2bu3LmsXbuWsLAw8vLyNG2jOKRAGHHr1i2Dvul33nlHXXLZFN9//z0//PAD0dHRBv3h6enpuLq6mhwfwN/fn4CAACpXrmzw68nUBeN0Oh0jR47UbGG70lRw+RF/f3/NTkq8X1RUFJs3b6ZHjx4EBQUxZMgQk6fmFjR9+nSmTZvGpUuXaNOmDbVq1dJsKmRJTswoWKDz/x8ZGUlkZKTJBTo3N1ctMFu3biUgIIDOnTvTuXNnkwtcwSPlku6Jz8rKwsvLC4CaNWvy7rvv0rt3b8aMGVOi7RZFCoQRrVq1YsuWLerSu9u3b6d169Ymx+3Rowdt27Zl/vz5Bmvt29nZadbNMXXqVD799FPq16+v+WJfjRo14vTp00/00ggluYpo/heqjY0NcXFxVKxYkVu3bmkWv3bt2qxZs4aMjAzy8vKwt7dnx44dat+7KUpyYkZJrg+Wl5enjvMcPHiQ2bNnq/fl5uaaHPvOnTvk5eWpf+cXClNj38/S0pK8vDzq1KnDt99+q9lKyaaSQeoCCi78lZmZqX7B5uXlYWtrq/mqkwkJCQb9jVp03wQEBGiybLgxXbp04erVq9SsWdNgKfEn6aiiV69ebNy4sURiL168mEGDBnHo0CH12gd9+/Zl7NixJdIeQPv27YmMjNQsXkkOxn733Xf06NEDR0dHAO7cucPPP//M66+/XuyYS5cuZd++fVSsWJEbN26wceNGdDodV69e5f333zfp5FNvb+8HxtzyaT32dvr0aerVq0dqaipffvklaWlpvPXWW7z00kuatVEcUiDKwJ49e/j444+Jj4/HycmJ2NhY6tWrpy6PYYoZM2aQmprKK6+8YtDFpMU014KzgArS4hdsScpfTE9RFNasWfPA4nlaLaZ39+5dfvjhB44dO4ZOp8PNzY1XX30VKysrTeIb065dO/bt22dynJKemAHg5+dHRESEwTYtuvxOnjzJrVu3aNWqlTrV9fLly2RkZDx203yAGaMAABJySURBVEYLc+bMGZYtW0ZsbKzBxcrK+seXdDEVYufOneqHxc3NjY4dO2oWe8GCBYSGhjJkyBDCw8M5dOgQmzZt0iR2VlYWlpaW/PbbbwbbtSgQaWlpXLp0CYB69epRv359k2OWhoKH6v379y+xQ/f3338fOzs7dfXYn3/+mffee++By3lqSasus5KemAH3jsTzxyHgXjeNFktWNG/e/IFtzz77rMlxS9PEiRN57733SqRr2BRSIIyYMWMG165do1u3bgD88MMP/Pbbb0yfPl2T+BYWFlSsWFHt22zZsqXJ0/3ymXK+Q2FSU1N55513uHHjBi+++CKKonD+/HmqV6/O0qVLH/u54fnTTI8fP/7Aooj3X2vYFP/884/BFOOWLVvi6+trctyHLQp3+/Ztk+NDyU3MKKh169aMHTuWAQMGAPcuINSmTRtN23hSOTk5qSeIPk6kQBhx6NAhtm3bpv7S6dWrl1ostODo6Eh6ejru7u5MnDgRJycng4XkTJGVlcX69esfmItvSuH48ssvadKkCV9//bXBuMy8efP44osvmDZtmsl5l4YPP/zwgfEHY9uKq1GjRpw8eVL9RXvq1KkHzpQtDi0uKVqUkpqYUVD+gpT5V098+eWXNV1B4Ek2evRopk6dipeXl+Zdw6aQAmFEnTp1iI2NVfvWb9y4oeklR5csWYKVlZV6PeTU1FTNlnyYNGkSzz33HL/++iujRo1i8+bNJq9Y+vvvv7Np0yaDQ18zMzPGjx+v6ZLHJSUqKoqoqCgSExPV8Qi412WmxWyU/NcgJyeHAQMGqJMNYmNjNVkttmbNmuTm5jJ48GDN12AqODHj66+/ZtKkSeh0OnJzc7G1teX999/XrK38VW5btGiBTqfj2Wef1exEv5KQmZmJhYUF5cqVA+DSpUvs37+fGjVqaP7FvWHDBi5dukROTo7B50wKxGMoPT0dX19fdTrnmTNnaNKkiXrBeFN/0RU8Wih4DWYtXLt2ja+++ordu3fTq1cvunfvbtIsEbi3aJ6x5SIsLCxKZBE9reWfVZubm2sw/mBvb6/JVfxK4xe+ubk5ZmZmpKamarr8RUlcBrQwhw8fJjg4mJo1a6IoCjdu3OCTTz7R9GJcWnrrrbeYM2cOdevW5erVqwwYMIAePXqwd+9ezpw5YzBV3VRnzpxhx44dmsXTihQII/IvYKO1/F9r98sfuNNiGm3+F7mjoyPnz5+ncuXKJCQkmBQzKyuLv/7664HpfoqikJ2dbVLs0pB/cZ1evXqVyIyr0prFZWtrS48ePXj55ZcNfmRoseKnUgqXA/3kk09YtWqVelR1+fJlJkyYQFhYmGZtaCklJYW6desCsHHjRrp168a0adPIzs6mT58+mhYIV1dXzVdA0IIUCCM8PDy4ffs2Z86cAaBZs2YmLRucrzR+rQUEBHDnzh3GjBnD22+/TUZGhskFr0qVKoWOYWhxRbmSlr+mTsGTqAoqjSMALfj4+JRYl0NJXg403/9r7+5jmjq/OIB/O5CNFzNxL4QRtjBhkwi4VgYxcSOOgaWIFERxhhkFE2RjiQg4nJmDuJkhA+MiSUVmmMqChiFvLbINY7IsOCVSN8BNUYggToWW8SKlpd7fH4wbCvUnwr3cFs7nr/aSXM4f4rnPc89zjsFgMNly8/Dw4GU0Kx8uXrzIDn6ys7Pj/MClWq2GXC6Hm5sbpx0QZooShBkqlQo5OTkICAgAwzDYv38/du/eDalUKnRoTzT20i8gIICzgzx8z3Tm21jLhfj4ePba2B+4NR0DioqKgk6n4+zdxnh8jAOdyMfHB3v37mW7uVZVVXHyEp8vb775JrKzs+Hi4oLbt2+zzTX7+vo4/12FhYWc35MLlCDMUCgUKC0tZVcNGo0GW7dutYoE0d3djby8PNy/fx+FhYVobW1FY2PjvK4W+eeff3D16lX2XUxMTAw0Gg1EItGMZhHMtvPnzyM7OxsGgwHnz5/HtWvXcPjwYU5WQHyMA50oKysLxcXF7AOHv78/Z3MV+PDll1/ixIkT6OzsxPHjx9nuAa2trSYPG1yw2MOmfI+ss0YTx0QajUZOR0fyKSEhgVEqlUxERATDMAxjMBisJna+xMbGMl1dXez3devWMRqNhrlz5w6zZcsWASN7OlFRUUxfX5/JqNrw8HBO7s3HOFBzenp6mJ6eHs7vy4eff/55RiNL5wJaQZixatUqJCQksGcfVCrVjKdTzRatVguZTIaCggIAo0+GlnQyUwgGgwGurq7s9xUrVsDZ2RnOzs4YGhoSMLKnY2trO6mCiau9cD7GgY5hGAZHjhzBqVOn2C29Z555BnFxcZzNyuBDZWUlsrKyYG9vD7FYDIlEArFYbDUdBLhACcKMTz/9lG21AYy++A0JCRE4qqlxcHCAVqtl/+NQq9WclUUy/1W6dHR0IDk5GV1dXeju7rb47q4T94z37dvHftZoNLMdzrR5enqiqqoKRqMR7e3tOHnyJMRiMSf3Tk9PR05OjklSGLs2U0VFRbhy5QpKS0vh7u4OAOjo6EBmZiaKioqwdevWGf8OPoyVQHd0dECtVqOxsRGnT59GV1cXfH19cezYMYEj5B8liAnGH0gS+pDKdGRkZCApKQkdHR3YtGkTtFotZ72Axle6JCcnw9HREZ988gmnlS588PPzw5kzZ7Bx40aT6yUlJRaf3Mb7/PPPoVAoYGdnh9TUVKxatYqTedTA6L76eEajEc3NzZzcu6KiAsePH8fixYvZa+7u7sjJyUF8fLzFJogx7u7u0Ov10Ol00Ol0GB4ehk6nEzqsWUEJYgK+DiTNFk9PT4SEhMDe3h6Ojo54//33OWtcNhuVLnz47LPP2FPlY909m5ubodfrkZ+fL3B0U3fr1i2kpKQgJSWFs3sePXoUCoUCw8PDkEgk7BaQnZ3dpIQ6XSMjIybJYczixYtNOpdaGoVCAbVaDY1GAw8PDyxfvhxxcXHYv3+/RZ8A5xIlCDP4PJDEt927d8PJyQmJiYkARjuKpqenc3JieDYqXfjwwgsvoKSkBPX19eyTclBQEDvBy1p8/fXX6O7uxpo1ayCTyTjZC09MTERiYiJyc3M5Pfg13liriqf9mdDKy8vh4OCA1atXQywWY/ny5Vb50DgTNA/CjMc1b+O6LQYfZDKZSUfRx12bjsrKSqhUKrS0tCAqKgrnzp3Dzp072QZvhH8PHjxATU0NVCoVBgcHERYWxtk2U11dHTuHOSAgAKtXr+bkvt7e3iYDpsYw/53E52oriw+9vb1sLy+1Wo2HDx9i6dKlEIvFWL9+vdDh8Y4SxGOMvbw0tzS2ZGlpaYiLizPpKFpcXIyDBw9ycv+bN2+ylS4rV67krNKFPJ2///4bhYWFqKmpQVNT04zvl5ubiz/++INtPKhUKuHr64tdu3bN+N5zwcjICJqbm3H58mWcPn0anZ2duHbtmtBh8Y4SxDgTy/EYhoGNjY3Fl+MBph1F29raJnUUnckKore39//+nKt52uT/u3nzJlQqFX766ScsWrQIUqkUUqmUkzYwERERqKioYLcMjUYj5HK54K0ehFRXV4fGxkZcuXKF7ZMkkUjw1ltvQSKRWN3D43TQO4hxrLUcD+C3n1B0dPSk2bxj37mezUseb8+ePQgKCsIXX3wBX19fzkeZ9vX1scm+v7+f03tbo7Nnz0IikSA9PR3Lli2zis7FXKMVxDhyuXxSOR4wut0UHx8/49m5hEzHyMgI8vLy8OOPP7Irw7t37yI6OhopKSmcvOitrq5Gbm4uAgMDwTAMLl++jLS0NE4m4s01DQ0NUCqVnE2YtGS0ghjHWsvxZou5l4kLFy7EK6+8YnZeBOHGwYMHMTg4iLq6Ona868DAALKzs5Gdnc1Jdd3atWsREBDAdjBOS0vDSy+9NOP7zhUtLS2oqqpCbW0t3NzcrPKM1HTQX/U41lqON1uysrLQ0tLClldev34dXl5e6O/vR2ZmJucjKsmoCxcuoLa21qSthpOTEzIzM2dcQdbV1WXy3dvbG8Boe5Kuri52xTIftbW1QalUorq6Gs7OzpDJZGAYxuq7Gz8NShDj/PXXX5BIJJOuM1YyGIdvL7/8Mr766it4eXkBGD19++233yI9PR3JycmUIHgiEonM9lyysbGZcS+msfMyE2m1WvT09MyLSp3HCQsLg7+/P44ePcqOHC4qKhI2qFlGCWKc+fzHMBXt7e1scgBGT23funWLfaFP+LFkyRKUl5ezJ9jHVFRUzPiU/MQqpc7OThw7dgz19fWPTR7zxZEjR6BUKrFlyxa88847CA8Pt6r5IVygl9Rkynbu3Innn3/epMutVqtFTk4OPvjgA4vvyWSt7t27h+TkZDz33HNsq5CmpibodDrk5+fDxcVlxr+jvb0dCoUCV69eRXx8PORyOW2r/ufhw4eoq6uDUqnExYsXERkZiZCQkHmxYqYEQaZMp9Phhx9+YLvcSiQSbN68Gc8++yyGhobg6OgocIRz2/hWIZ6enpy0Crl+/ToUCgVu3LiB7du3Y+3atfOmz9B0/Pvvvzh37hxUKhW+//57ocPhHSUI8lT0ej3a2togEong4eFBT5lWztvbG66urggKCjKbGKyh/xjhD72DIFP2+++/IyMjA25ubmAYBnfv3kV2djbefvttoUMj03TgwAGhQyAWjFYQZMqio6PxzTff4PXXXwcwWgaYmpqKsrIygSMjhPDB8ns1E4thMBjY5AAAHh4eVjEPghAyPbTFRKbMx8cHe/fuxbp16wCMlkj6+PgIHBUhhC+0xUSmTK/Xo7i4mK1i8vf3x+bNm+dlE7O5xGg04uTJkxbdjJIIgxIEeSpUxTQ3xcTEoLS0VOgwiIWhBEGmjKqY5q4DBw5gZGQEMpnMZPrb2ME8Mj9RgiBTRlVMc9eHH3446ZpIJMKJEycEiIZYCnpJTaaMqpjmrvnUoZRMHSUIMmVUxTR3dXd3Iy8vD/fv30dhYSFaW1vR2NiIDRs2CB0aERBtMZEpoyqmuWv79u2Ijo6GQqFAZWUlRkZGEBUVNa9nUhNaQZCnYGdnh23btmHbtm1Ch0I4ptVqIZPJUFBQAACwtbXFM8/QOdr5jv4FkCf65ZdfUFxczH7fsGEDgoODERwcjJqaGgEjI1xxcHCAVqtlBxCp1WosXLhQ4KiI0GgFQZ6osLAQhw4dYr/r9XqUlpZiaGgIe/bsmfHYSyK8jIwMJCUl4fbt29i0aRO0Wi0OHz4sdFhEYJQgyBMZDAa4urqy31esWAFnZ2c4OztjaGhIwMgIV7y8vHDq1Cm0tbWBYRh4eHjMu+lpZDLaYiJP1NfXZ/J937597GeNRjPb4RAexMbGwtbWFl5eXnjjjTewYMECxMbGCh0WERitIMgT+fn54cyZM9i4caPJ9ZKSEvj5+QkUFeHCgwcPcO/ePeh0OrS0tLCrhoGBAVodEipzJU/W09ODjz/+GAsWLGBbLzQ3N0Ov1yM/Px8vvviiwBGS6Tp79izKysrQ1NRkcqbFyckJUVFRCA0NFTA6IjRKEGTK+JiJTCxDbW0t1qxZI3QYxMJQgiCEIDg4GKGhoYiJicGSJUuEDodYCEoQhBAMDAxApVKhrKwMjx49wvr16xEeHg4nJyehQyMCogRBCDFx6dIlpKamor+/H2vWrMFHH32E1157TeiwiAAoQRBCYDQaceHCBZSVleHOnTuIjIxEREQEGhoacOjQIdTW1godIhEAlbkSQhAaGorAwEAkJCRAIpGw16VSKRoaGgSMjAiJVhCEEAwODsLR0VHoMIiFoZPUhBBoNBrs2LEDgYGBWLlyJZKSktDR0SF0WERglCAIIUhNTYVUKsVvv/2GX3/9FVKpFLt27RI6LCIwShCEEAwNDUEul8PW1ha2traIjIzE8PCw0GERgdFLakII3n33XRQUFEAmk0EkEkGlUiEoKAi9vb0AgEWLFgkcIRECvaQmhOC999577M9EIhHq6upmMRpiKShBEEIIMYu2mAghKC8vN3tdLpfPciTEklCCIITgzz//ZD8PDw+jvr4ey5YtowQxz9EWEyFkkr6+PqSkpOC7774TOhQiICpzJYRMYm9vj87OTqHDIAKjLSZCCHbs2MF+fvToEVpbWxEWFiZgRMQS0BYTIQSXLl2CSCQCANjY2MDNzQ0uLi4CR0WERisIQuYxsVgMkUiEic+JIpEIdnZ2ePXVV5GSkkLjZecpWkEQQswyGo24ceMG0tLSUF1dLXQ4RAD0kpoQYpaNjQ2WLl2KuLg4oUMhAqEVBCGEELNoBUEIIcQsShCEEELMogRBCCHELEoQhBBCzPofGOUGXBcvQOEAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.bar([x for x in df_tool_use_PhD.index], df_tool_use_PhD, label=\"have PhD\", color=\"g\", alpha=0.5)\n",
"plt.bar([x for x in df_tool_use_students.index], df_tool_use_students, label=\"Working towards PhD\", color=\"lightblue\", alpha=0.5)\n",
"plt.ylabel('Respondents %')\n",
"plt.title(\"Gap between PhD and students in tool usage\")\n",
"plt.xticks(rotation='vertical')\n",
"plt.legend(loc='upper right')\n",
" \n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Dropbox, beamer and git are more frequently used among those who have PhD.\n",
"<br> On the other hand, OverLeaf and Jupyter Notebook are more popular among grad students."
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
"#improve"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_improve_PhD = sns_multiple_barplot_pct_byPhD(scs_PhDsorted, 'improve','yes', 'Development goals of PhD')\n",
"df_improve_students = sns_multiple_barplot_pct_byPhD(scs_PhDsorted, 'improve', 'working towards it', 'Development goals of grad students')\n"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.bar([x for x in df_improve_PhD.index], df_improve_PhD, label=\"have PhD\", color=\"g\", alpha=0.5)\n",
"plt.bar([x for x in df_improve_students.index], df_improve_students, label=\"Working towards PhD\", color=\"lightblue\", alpha=0.5)\n",
"plt.ylabel('Respondents %')\n",
"plt.title(\"Gap between development goals of PhD and students\")\n",
"plt.xticks(rotation='vertical')\n",
"plt.legend(loc='upper right')\n",
" \n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Grad students seem to be more interested in improving their scientific computing skills.\n",
"<br>Writing a better code is the most popular development goal for both groups, but there is a substantial difference in visualizations and automation which are generally more important for grad students."
]
}
],
"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": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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