Between raw export and analysis file, the DBAX 9103 Week 4 log records each rule, each row removed or altered, how missing values were handled, and every decision's date. Searches like "dbax 9103 week 4 assignment example", "dbax9103 week 4 sample" and "dbax 9103 week 4 example" land here.
What a finished DBAX 9103 Week 4 data preparation looks like
A reconciliation table leads and a rules section follows it, the pair filling three or four pages. The table walks from the export as received to the analysis file, one line per step: duplicate applications from one business within a week merged, test records created by the loan system removed, applications withdrawn before a decision set aside, each with the count of rows affected. The rules section states every rule in words a second analyst could apply to the same export, including the date-format fix for records migrated from an older system. A separate missing-values section classes each affected variable under Rubin's scheme as missing completely at random, at random, or not at random, with the reasoning stated rather than assumed. Derived variables, such as days from application to decision, carry their formulas.
How a DBAX 9103 Week 4 example is structured
The log is ordered as the work was done, and the table and prose follow the same sequence so a reader can move between them. It opens by describing the export: which system produced it, on what date, covering which period, with how many rows and fields. The reconciliation table follows. Rules come next, each written once and numbered, so the table can cite them by number instead of restating them. The missing-values section follows the rules because its decisions depend on which rows survived. Derived variables come after that, with formulas and the fields they draw on. A short section records what was checked and left alone, such as extreme loan amounts verified against source documents and kept. The log closes with the date each rule was fixed, all before the first outcome was examined, and the location of the preparation syntax.
The export described
System, date, period, rows and fields. A reader who knows the file came from a loan system with a migration partway through already understands why a date-format rule appears later.
Row counts that add
Every step shows rows in, rows affected, rows out. When a line fails to reconcile, the log says why, because unexplained drops between export and analysis file are what an examiner looks for first.
Numbered rules in plain words
Rule four defines a duplicate: same tax identifier, same product, applications within seven days. Written this way, a second analyst could apply the rule and arrive at the same file.
Why values are missing
Each variable with gaps is classed under Rubin's taxonomy and the class is argued. Collateral values missing mostly for smaller loans are not missing completely at random, and the log says what that implies for later analyses.
Checked and kept
Very large loans were verified against source files and retained. Recording the decision to keep unusual values matters as much as recording removals, since both change what the analysis sees.
Where marks go in DBAX 9103 Week 4
Preparation logs are marked on whether the path from export to analysis file can be retraced. A section announcing that cleaning and error screening took place describes a mood, and graders give it little. Most of the credit starts at the reconciliation table, since row counts that fail to add from one line to the next reveal an undocumented step. Rules are judged for precision: removing duplicates means nothing until the log says what made two records duplicates. The missing-values section draws the closest reading at doctoral level. Classing a variable as missing at random because it is convenient, with no argument about why values went missing, is the most common overreach. Timing earns separate credit, because rules fixed after outcomes were seen invite the suspicion that preparation was tuned to the result.
Get a DBAX 9103 Week 4 example written to your instructions
Include the Week 4 instructions and rubric, and describe the kind of material your study gathered: records, survey responses, transcripts. A preparation log with its reconciliation table and numbered rules returns in 24-48h, the first one free. Rows and rules are written for a stand-in dataset, and your export never needs to be sent anywhere.
DBAX 9103 Week 4 questions, answered
Does a qualitative study need a data preparation section?
Yes, though its content differs. Transcription conventions, how recordings were checked against transcripts, what was removed for confidentiality, and how material entered the analysis software all belong there. Readers of qualitative work need the same assurance that nothing changed silently between collection and analysis. A log recording which interviews were transcribed by whom, and which passages were redacted, gives them that.
Should the preparation log include the syntax or code?
The log describes each step in words, and the syntax sits in an appendix or supplementary file. Words let a reader follow the reasoning; the syntax lets a reader verify that the words match what the software did. Most sections expect both, and a log whose rules differ from its syntax, even slightly, loses more than a log that never included code.
What if a cleaning decision was made after looking at results?
Say so, with the date and the reason, and report the analysis both ways where the decision could matter. Some decisions only become visible once a model behaves oddly, and discovering them late is not misconduct. Hiding the timing is what turns an honest correction into a problem. The dates in the log exist to make that distinction visible to a reader.