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Reading text files (readtable, textscan) in MATLAB - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to read a table from 'data.csv' using readtable.

MATLAB
T = [1]('data.csv');
Drag options to blanks, or click blank then click option'
Areadtable
Btextscan
Cfopen
Dload
Attempts:
3 left
💡 Hint
Common Mistakes
Using fopen instead of readtable
Using load which is for MAT-files
2fill in blank
medium

Complete the code to open a text file named 'file.txt' for reading.

MATLAB
fid = [1]('file.txt', 'r');
Drag options to blanks, or click blank then click option'
Areadtable
Bfopen
Ctextscan
Dfclose
Attempts:
3 left
💡 Hint
Common Mistakes
Using readtable which reads tables, not opening files
Using fclose which closes files
3fill in blank
hard

Fix the error in the code to read numeric data from a file using textscan.

MATLAB
fid = fopen('numbers.txt', 'r');
data = [1](fid, '%f');
fclose(fid);
Drag options to blanks, or click blank then click option'
Atextscan
Bfopen
Creadtable
Dfclose
Attempts:
3 left
💡 Hint
Common Mistakes
Using fopen instead of textscan to read data
Using readtable which reads tables, not formatted data
4fill in blank
hard

Fill both blanks to read a CSV file with headers and convert it to a table.

MATLAB
opts = detectImportOptions('data.csv');
opts.[1] = 1;
T = [2]('data.csv', opts);
Drag options to blanks, or click blank then click option'
AVariableNamesLine
Breadtable
CDelimiter
Dtextscan
Attempts:
3 left
💡 Hint
Common Mistakes
Using textscan instead of readtable for tables
Setting Delimiter instead of VariableNamesLine
5fill in blank
hard

Fill all three blanks to read a file line by line using textscan and close it.

MATLAB
fid = [1]('log.txt', 'r');
data = [2](fid, '%s', 'Delimiter', '\n');
[3](fid);
Drag options to blanks, or click blank then click option'
Afopen
Btextscan
Cfclose
Dreadtable
Attempts:
3 left
💡 Hint
Common Mistakes
Using readtable instead of fopen or fclose
Not closing the file after reading

Practice

(1/5)
1. What is the main advantage of using readtable in MATLAB to read text files?
easy
A. It reads files without opening them first.
B. It requires manual specification of each data type.
C. It only reads numeric data, ignoring text.
D. It automatically loads data into a table with proper formatting.

Solution

  1. Step 1: Understand readtable functionality

    readtable is designed to load text files directly into tables, automatically detecting and formatting columns.
  2. Step 2: Compare options

    It automatically loads data into a table with proper formatting. correctly describes this automatic loading and formatting. Other options describe incorrect behaviors.
  3. Final Answer:

    It automatically loads data into a table with proper formatting. -> Option D
  4. Quick Check:

    readtable = automatic table loading [OK]
Hint: Remember: readtable = easy table import [OK]
Common Mistakes:
  • Thinking readtable needs manual type input
  • Assuming readtable only reads numbers
  • Believing files don't need opening before reading
2. Which of the following is the correct syntax to open a text file named data.txt for reading in MATLAB?
easy
A. fileID = fopen('data.txt', 'r');
B. fileID = open('data.txt', 'r');
C. fileID = readfile('data.txt');
D. fileID = textscan('data.txt', 'r');

Solution

  1. Step 1: Recall file opening function

    In MATLAB, fopen is used to open files with a mode like 'r' for reading.
  2. Step 2: Check each option

    fileID = fopen('data.txt', 'r'); uses fopen correctly. fileID = open('data.txt', 'r'); uses a non-existent open function. fileID = readfile('data.txt'); uses readfile which is not a MATLAB function. fileID = textscan('data.txt', 'r'); misuses textscan which reads from an open file, not opens it.
  3. Final Answer:

    fileID = fopen('data.txt', 'r'); -> Option A
  4. Quick Check:

    Open file = fopen(filename, 'r') [OK]
Hint: Use fopen to open files before reading [OK]
Common Mistakes:
  • Using open instead of fopen
  • Trying to read file directly without fopen
  • Confusing textscan with fopen
3. Given the following MATLAB code snippet, what will be the output stored in data?
fileID = fopen('numbers.txt', 'r');
data = textscan(fileID, '%d %f');
fclose(fileID);
Assuming numbers.txt contains:
10 3.14
20 2.71
30 1.62
medium
A. A 1x2 cell array with first cell [10;20;30] and second cell [3.14;2.71;1.62]
B. A 3x2 numeric matrix with all numbers
C. A single numeric array combining all values
D. An error because textscan cannot read mixed data

Solution

  1. Step 1: Understand textscan output format

    textscan returns a cell array where each cell contains a column of data matching the format specifiers.
  2. Step 2: Analyze the format and file content

    Format '%d %f' reads an integer and a float per line. The file has 3 lines, so the first cell will be [10;20;30] and the second cell [3.14;2.71;1.62].
  3. Final Answer:

    A 1x2 cell array with first cell [10;20;30] and second cell [3.14;2.71;1.62] -> Option A
  4. Quick Check:

    textscan returns cell array columns [OK]
Hint: textscan returns cells, each for one format column [OK]
Common Mistakes:
  • Expecting a numeric matrix instead of cell array
  • Thinking textscan merges all data into one array
  • Assuming textscan cannot read mixed types
4. Consider this MATLAB code snippet:
fileID = fopen('data.txt', 'r');
data = textscan(fileID, '%s %d');
What is the main problem with this code?
medium
A. textscan cannot read strings and integers together.
B. The format specifier '%s %d' is invalid.
C. The file is not closed after reading.
D. fopen should be called with 'w' mode to read.

Solution

  1. Step 1: Check file handling steps

    The code opens the file with fopen and reads with textscan, but does not close the file.
  2. Step 2: Validate format and usage

    The format '%s %d' is valid for reading a string and an integer. textscan supports mixed types. fopen with 'r' is correct for reading.
  3. Final Answer:

    The file is not closed after reading. -> Option C
  4. Quick Check:

    Always fclose after fopen [OK]
Hint: Always fclose after reading files [OK]
Common Mistakes:
  • Forgetting to close the file
  • Thinking '%s %d' is invalid format
  • Confusing fopen modes
5. You have a text file records.txt with mixed data: a name (string), age (integer), and height (float) on each line, separated by commas, like:
John,25,5.9
Anna,30,5.5
Mike,22,6.1
Which MATLAB approach correctly reads this file into a table with proper data types?
hard
A. Use readtable('records.txt', 'Delimiter', ',', 'Format', '%s%d%f')
B. Use readtable('records.txt') without specifying delimiter
C. Use textscan(fopen('records.txt', 'r'), '%s %d %f', 'Delimiter', ',') and fclose after
D. Use textscan(fopen('records.txt'), '%s %d %f') without closing file

Solution

  1. Step 1: Identify correct reading method for mixed CSV data into table

    readtable automatically detects common delimiters like commas and loads data into a table with inferred types (string for names, double for numbers).
  2. Step 2: Compare options

    Use readtable('records.txt') without specifying delimiter: readtable('records.txt') auto-detects comma delimiter. Use readtable('records.txt', 'Delimiter', ',', 'Format', '%s%d%f') uses invalid 'Format' parameter (readtable lacks it). Use textscan(fopen('records.txt', 'r'), '%s %d %f', 'Delimiter', ',') and fclose after: textscan syntax invalid ('Delimiter' not for fid), returns cell array not table. Use textscan(fopen('records.txt'), '%s %d %f') without closing file: textscan fails to parse commas (default whitespace), no fclose.
  3. Final Answer:

    Use readtable('records.txt') without specifying delimiter -> Option B
  4. Quick Check:

    readtable = auto delimiter + table types [OK]
Hint: readtable auto-detects CSV delimiters into tables [OK]
Common Mistakes:
  • Using textscan expecting table output
  • Adding invalid 'Format' to readtable
  • Omitting delimiter handling in textscan
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