Login

Himawari Wa Yoru Ni Saku Audio Latino -

Audio Latino’s power is its hybridity. It takes the communal call of folk corridos and grafts onto it the solitary confession of late-night bedroom producers. It is political and personal: protest chants braided into choruses that fold like quilts over aching hearts, samples of radio sermons reframed as chorus hooks. Language slips—Spanish, Spanglish, Portuguese phrases threaded through English hooks—until words become percussion as much as meaning. This is music that navigates borders without maps, that sings of border crossings and back-alley baptisms.

And yet there is tenderness beneath the pulse. A slow track arrives like the moon behind clouds: acoustic guitar, breathing bass, soft trumpet. A lyric confesses small domestic grief—children who have left, lovers who have drifted, the erosion of neighborhood shops by developers with spotless suits. The himawari’s petals close gently, as if to shelter those fragile sounds.

The city’s alleys are canals of echo. A low synth folds into the steam rising off a tamal vendor; a trumpet honks a call-and-response with a taxi’s horn. Old cassette tapes pirouette in new players, and the crackle between tracks is treated like a sacred pause—a space where memory and improvisation collide. The himawari drinks in those frequencies and exhales them back as a floral chorus, each note sticky with salsa grease and moonlit tobacco. himawari wa yoru ni saku audio latino

Under a lacquered sky where neon and mothlight wrestle for breath, the himawari blooms at night. Not the placid sunflowers of daytime postcards, but a nocturnal hymn—petals unfurling like vinyl records in a dim room, rims catching the glow of passing headlights. Each blossom is a speaker, the heady perfume a bassline, and the city itself becomes an amphitheater for a sound that is at once ancient and dangerously new: Audio Latino.

Dancing to Audio Latino under the himawari is ritual and rebellion. Feet stamp, hips swivel, hands lift incense-smudged crosses or plastic cups of cheap wine. Strangers trade glances that translate into new harmonies. The music is a promise: you can be both raw and tender, both ancestral and futurist. It invites improvisation—an impromptu percussion section created from metal trash cans, a chorus augmented by a child’s off-key ad-lib. In that space, identity is not fixed but remixed. Audio Latino’s power is its hybridity

By dawn the himawari folds, petals cooling in the pale light. But the audio it released lingers—sticky on the air like honey, rolled into the pockets of people leaving the night for jobs, for buses, for beds. Audio Latino leaves its fingerprints on the city’s sleep, a musical residue that colors dreams with syncopation and memory.

Himawari wa yoru ni saku: the sunflower that blooms at night is not merely a flower but a nightly congregation. It is a myth turned playlist, a living festival where sound and scent, grief and joy, migration and home converge. The music that rises from its center refuses simple labels; it is at once critique and caress, folklore and future—an invitation to listen until the city itself begins to hum. A slow track arrives like the moon behind

This is not the comfortable bolero of grandmothers or the boxed rhythms of mainstream radio. Audio Latino here is a restless kinship of cumbia’s hip, reggaetón’s pulse, and the sinuous guitars of flamenco that learned to flirt with electronic dust. The himawari—a sunflower that defies its name by opening under moonlight—listens and answers. Its stalks sway like dancers at a barrio street corner; its seeds keep time like castanets. In its heart, sound unspools into stories: migration measured in footsteps, longing tuned to the hum of buses at 3 a.m., a lover’s apology translated into percussive clicks.

Testimonials
TAKE THE TOUR


SPSS Statistics

SPSS Statistics procedure to create an "ID" variable

In this section, we explain how to create an ID variable, ID, using the Compute Variable... procedure in SPSS Statistics. The following procedure will only work when you have set up your data in wide format where you have one case per row (i.e., your Data View has the same setup as our example, as explained in the note above):

  1. Click Transform > Compute Variable... on the main menu, as shown below:

    Note: Depending on your version of SPSS Statistics, you may not have the same options under the Transform menu as shown below, but all versions of SPSS Statistics include the same compute variable menu option that you will use to create an ID variable.

    computer menu to create a new ID variable

    Published with written permission from SPSS Statistics, IBM Corporation.


    You will be presented with the Compute Variable dialogue box, as shown below:
    'recode into different variables' dialogue box displayed

    Published with written permission from SPSS Statistics, IBM Corporation.

  2. Enter the name of the ID variable you want to create into the Target Variable: box. In our example, we have called this new variable, "ID", as shown below:
    ID variable entered into Target Variable box in top left

    Published with written permission from SPSS Statistics, IBM Corporation.

  3. Click on the change button and you will be presented with the Compute Variable: Type and Label dialogue box, as shown below:
    empty 'compute variable: type and label' dialogue box

    Published with written permission from SPSS Statistics, IBM Corporation.

  4. Enter a more descriptive label for your ID variable into the Label: box in the –Label– area (e.g., "Participant ID"), as shown below:
    participant ID entered in 'compute variable: type and label' dialogue box

    Published with written permission from SPSS Statistics, IBM Corporation.

    Note: You do not have to enter a label for your new ID variable, but we prefer to make sure we know what a variable is measuring (e.g., this is especially useful if working with larger data sets with lots of variables). Therefore, we entered the label, "Participant ID", into the Label: box. This will be the label entered in the label column in the Variable View of SPSS Statistics when you complete at the steps below.

  5. Click on the continue button. You will be returned to the Compute Variable dialogue box, as shown below:
    ID variable entered

    Published with written permission from SPSS Statistics, IBM Corporation.

  6. Enter the numeric expression, $CASENUM, into the Numeric Expression: box, as shown below:
    second category - '2' and '4' - entered

    Published with written permission from SPSS Statistics, IBM Corporation.

  7. Explanation: The numeric expression, $CASENUM, instructs SPSS Statistics to add a sequential number to each row of the Data View. Therefore, the sequential numbers start at "1" in row 1, then "2" in row 2, "3" in row 3, and so forth. The sequential numbers are added to each row of data in the Data View. Therefore, since we have 100 participants in our example, the sequential numbers go from "1" in row 1 through to "100" in row 100.

    Note: Instead of typing in $CASENUM, you can click on "All" in the Function group: box, followed by "$Casenum" from the options that then appear in the Functions and Special Variables: box. Finally, click on the up arrow button. The numeric expression, $CASENUM, will appear in the Numeric Expression: box.

  8. Click on the ok button and the new ID variable, ID, will have been added to our data set, as highlighted in the Data View window below:

data view with new 'nominal' ID variable highlighted

Published with written permission from SPSS Statistics, IBM Corporation.


If you look under the ID column in the Data View above, you can see that a sequential number has been added to each row, starting with "1" in row 1, then "2" in row 2, "3" in row 3, and so forth. Since we have 100 participants in our example, the sequential numbers go from "1" in row 1 through to "100" in row 100.

Therefore, participant 1 along row 1 had a VO2max of 55.79 ml/min/kg (i.e., in the cell under the vo2max column), was 27 years old (i.e., in the cell under the age column), weighed 70.47 kg (i.e., in the cell under the weight column), had an average heart rate of 150 (i.e., in the cell under the heart rate column) and was male (i.e., in the cell under the gender column).

The new variable, ID, will also now appear in the Variable View of SPSS Statistics, as highlighted below:

variable view for new 'nominal' ID variable highlighted

Published with written permission from SPSS Statistics, IBM Corporation.


The name of the new variable, "ID" (i.e., under the name column), reflects the name you entered into the Target Variable: box of the Compute Variable dialogue box in Step 2 above. Similarly, the label of the new variable, "Participant ID" (i.e., under the label column), reflects the label you entered into the Label: box in the –Label– area in Step 4 above. You may also notice that we have made changes to the decimals, measure and role columns for our new variable, "ID". When the new variable is created, by default in SPSS Statistics the role column will be set to "2" (i.e., two decimal places), the measure will show scale and the role column will show input. We changed the number of decimal places in the decimals column from "2" to "0" because when you are creating an ID variable, this does not require any decimal places. Next, we changed the variable type from the default entered by SPSS Statistics, scale, to nominal, because our new ID variable is a nominal variable (i.e., a nominal variable) and not a continuous variable (i.e., not a scale variable). Finally, we changed the cell under the role from the default, input, to none, for the same reasons mentioned in the note above.

Referencing

Laerd Statistics (2025). Creating an "ID" variable in SPSS Statistics. Statistical tutorials and software guides. Retrieved from https://statistics.laerd.com/


Join the 10,000s of students, academics and professionals who rely on Laerd Statistics.TAKE THE TOUR
1