## 2 Materials and Methods
### Methodology
#### 2.1.4 Eda  
As shown in Table 1, the preprocessing and processing of the data obtained from the prototypes were initially performed following the work of [PERSON] et al. [31]. It can be observed that a review was conducted focusing on the records that were not collected and the type of data that characterizes each variable in Table 2.  
The statistical data (mean, standard deviation, minimum, maximum, and quartiles) were extracted, as shown in Table 3. The data show that there is some variability in the times, especially in the full cycle. In addition, some outliers were identified that could indicate unusual situations or errors in the data. The table provides an overview of the main characteristics of the data, but further analysis would be needed to draw more solid conclusions about the process. A comprehensive exploratory data analysis was conducted to evaluate the correlation between the study variables, as shown in Figure 6, which presents a correlation matrix. Each cell in the matrix represents the correlation coefficient between two variables. The variables included are injection time, cycle time, maximum injection speed, maximum injection pressure, transfer pressure, maximum backpressure, average backpressure, and oil temperature, which are crucial to the injection process as they directly impact the quality of the final product. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Cycle No.** & \
\begin{tabular}{c} **Injection** \\ **Time** \\ \end{tabular} & **Charge Time** & **Cycle Time** &
\begin{tabular}{c} **Mold Close** \\ **Time** \\ \end{tabular} & \(\cdots\) \\ \hline
0 & 2.21 & 4.38 & 69.9 & 2.80 & \(\cdots\) \\
1 & 5.24 & 11.40 & 92.9 & 4.95 & \(\cdots\) \\
2 & 2.21 & 4.41 & 67.4 & 2.78 & \(\cdots\) \\
3 & 2.22 & 4.43 & 91.9 & 2.80 & \(\cdots\) \\
4 & 5.28 & 11.18 & 90.6 & 4.95 & \(\cdots\) \. &. &. &. &. &. \. &. &. &. &. &. \\
997 & 2.21 & 4.38 & 67.9 & 2.78 & \(\cdots\) \\
998 & 2.20 & 4.41 & 69.7 & 2.78 & \(\cdots\) \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Viewing database records. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**No.** & **Column** & **Dtype** & **Missing** \\ \hline
0 & Cycle No. & int64 & 0 \\
1 & Injection Time & float64 & 0 \\
2 & Charge Time & float64 & 0 \\
3 & Cycle Time & float64 & 0 \\
4 & Mold close time & float64 & 0 \\
5 & CushionPos & float64 & 0 \\
6 & Hold Pos & float64 & 0 \\
7 & ChargeEndPos & float64 & 0 \\
8 & Max Injection speed & float64 & 0 \\
9 & Max Screw Speed & int64 & 0 \\
10 & Average Screw Speed & float64 & 0 \\
11 & Max Injection Pressure & float64 & 0 \\
12 & Hold Transfer Pressure & float64 & 0 \\
13 & Max Backpressure & float64 & 0 \\
14 & Average Backpressure & float64 & 0 \\
15 & Oil Temp & float64 & 0 \\
16 & Hopper Temp. & float64 & 0 \\
17 & Ext. Nozzle Temp. & float64 & 0 \\
18 & Nozzle Temp. & float64 & 0 \\
19 & H1 Temp. & float64 & 0 \\
20 & H2 Temp. & float64 & 0 \\
21 & H3 Temp. & float64 & 0 \\
22 & H4 Temp. & float64 & 0 \\
23 & Mold open Pos & float64 & 0 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Missing records and data types. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Statistics** & **Injection Time** & **Charge Time** & **Cycle Time** & \(\cdots\) \\ \hline count & 999.00 & 999.00 & 999.00 & \(\cdots\) \\ mean & 2.29 & 4.57 & 72.66 & \(\cdots\) \\ std & 0.48 & 1.01 & 7.86 & \(\cdots\) \\ min & 2.16 & 4.11 & 50.40 & \(\cdots\) \\
25\% & 2.20 & 4.40 & 68.08 & \(\cdots\) \\
50\% & 2.21 & 4.42 & 70.50 & \(\cdots\) \\
75\% & 2.22 & 4.44 & 74.40 & \(\cdots\) \\ max & 5.37 & 11.40 & 128.80 & \(\cdots\) \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Descriptions of variable statistics. While this initial analysis provides valuable information about the relationships between variables, it is acknowledged that in specific studies, considering a broader set of variables and applying feature selection techniques can be beneficial.