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Monero usage percentages

This commit is contained in:
Radim Lipovčan 2019-03-27 08:07:49 +01:00
parent 6161610ce4
commit 22472f4086
2 changed files with 28 additions and 21 deletions
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42
Thesis.tex
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@ -1504,6 +1504,7 @@ Transactions in the Monero network performed by respondents can be divided into
Following this question, respondents were asked if they hold onto their coins for a long time (often referred to as one being a HODLer). Majority of respondents 79\% (84 out of 106) said that they are, but this statement conflicts with transaction frequency. When comparing data of respondents that make a transaction at least every month, about 60\% (34 out of 57) think that they are HODLers, this contradicts the previously mentioned statement.
Important usage factor of a currency is where its users can pay with it. Monero has already a known reputation between darknet markets, but its mainstream usage isn't something that is advertised as its feature.
\begin{figure}[H]
\center
\begin{tabular}{>{\raggedright\arraybackslash}p{0.4\linewidth}%
@ -1525,10 +1526,6 @@ Other & 00 \% & 00
\caption{Reasons to use Monero, total N=113.}
\label{table:monerousageresearch}
\end{figure}
Important usage factor of a currency is where its users can pay with it. Monero has already a known reputation between darknet markets, but its mainstream usage isn't something that is advertised as its feature.
When asked about the payment options, many of the respondents 45\% (51 out of 113) selected that they use Monero as a way for donating other people, followed by paying for VPN services. %A detailed overview of payment types is available in the Appendix Figure \ref{table:moneropayusageresearch}.
\begin{figure}[H]
\center
@ -1818,8 +1815,7 @@ This part was answered only by those respondents that selected Yes (15 out of 11
The primary cause of problems was mining malware (8) or some form of mining script (7). The main affected platform was running Windows (10), and malware was recognized mainly by slow system response (7) and high CPU usage (11).
\subsection{Demographics}
Survey participants were mainly males (50), females (2) represented only a small portion of the dataset, and some of the participants did not disclose their gender (8). Most respondents in the dataset were from the age groups 25-34 (33).
\vspace{-1em}
Survey participants were mainly males 44\% (50 out of 113), females 2\% (2 out of 113) represented only a small portion of the dataset, and some of the participants did not disclose their gender 54\% (61 out of 113). Most respondents in the dataset were from the age groups 25-34 29\% (33 out of 113).
\begin{center}
\begin{figure}[H]
\begin{tikzpicture}
@ -1861,16 +1857,17 @@ Survey participants were mainly males (50), females (2) represented only a small
\legend{18-24,25-34,35-44,45-54,55-64,65-74,75+
}
\coordinate (A) at (200,0);% ******** start of changes ************
\coordinate (B) at (300,8mm);
\coordinate (A) at (17,0);% ******** start of changes ************
\coordinate (B) at (55,0);
\coordinate (C) at (85,0);% ******** start of changes ************
\end{axis}
\node at (A) {test};
\node at (B) {test 2};% ********* end of changes **********
\node at (A) {37};
\node at (B) {47};% ********* end of changes **********
\node at (C) {21};
\end{tikzpicture}
\caption{Age groups in the dataset.}
\label{chart:agegroupsuserresearch}\end{figure}\end{center}
\vspace{-2em}
\begin{center}
\begin{figure}[H]
\begin{tikzpicture}
@ -1909,15 +1906,18 @@ Survey participants were mainly males (50), females (2) represented only a small
\legend{Primary education, Secondary education, Tertiary education, Not specified
}
\coordinate (A) at (200,0);% ******** start of changes ************
\coordinate (B) at (300,8mm);
\coordinate (A) at (4,0);% ******** start of changes ************
\coordinate (B) at (25,0);
\coordinate (C) at (70,0);% ******** start of changes ************
\coordinate (D) at (95,0);
\end{axis}
\node at (A) {test};
\node at (B) {test 2};% ********* end of changes **********
\node at (A) {10};
\node at (B) {33};% ********* end of changes **********
\node at (C) {59};
\node at (D) {11};
\end{tikzpicture}
\caption{Highest achieved level of education.}
\label{chart:educationleveluserresearch}\end{figure}\end{center}
\vspace{-2em}
\begin{center}
\begin{figure}[H]
\begin{tikzpicture}
@ -1955,11 +1955,13 @@ Survey participants were mainly males (50), females (2) represented only a small
\legend{IT industry, Other industry, Not specified
}
\coordinate (A) at (200,0);% ******** start of changes ************
\coordinate (B) at (300,8mm);
\coordinate (A) at (35,0);% ******** start of changes ************
\coordinate (B) at (84,0);
\coordinate (C) at (99,0);% ******** start of changes ************
\end{axis}
\node at (A) {test};
\node at (B) {test 2};% ********* end of changes **********
\node at (A) {74};
\node at (B) {37};% ********* end of changes **********
\node at (C) {2};
\end{tikzpicture}
\caption{Respondents and IT industry.}
\label{chart:itindustryuserresearch}\end{figure}\end{center}

7
attachments/sql-queries/users_query.sql
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@ -131,4 +131,9 @@ SELECT COUNT(*), (COUNT(*)*100)/113 FROM users WHERE Which_type_of_wallet_do_you
SELECT COUNT(*), (COUNT(*)*100)/113 FROM users WHERE Anonymity_DTor_to_access_Monero_network IS NULL;
SELECT COUNT(*), (COUNT(*)*100)/113 FROM users WHERE Anonymity_DTor_to_access_Monero_network IS NULL;
SELECT In_which_age_group_are_you, COUNT(*), (COUNT(*)*100)/113 FROM users GROUP BY In_which_age_group_are_you;
SELECT Select_your_highest_achieved_level_of_education, COUNT(*), (COUNT(*)*100)/113 FROM users GROUP BY Select_your_highest_achieved_level_of_education;
SELECT Do_you_work_or_study_in_IT_related_field, COUNT(*), (COUNT(*)*100)/113 FROM users GROUP BY Do_you_work_or_study_in_IT_related_field;