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This is an attempt to understand the wiki.
==Introduction (+ historical background)==
 
==Motivation (to see if to include with intro)==
== Project Plan and Milestones==
{| class="wikitable"
|+ Workflow
|-
! Week !! Task !! Status
|-
| 07.10 - 13.10 || Define project and structure work || Done
|-
| 14.10 - 20.10 || Write code to extract widow data <br> Read historical papers on widows and Venice || Done
|-
| 21.10 - 27.10 || Autumn vacation ||
|-
| 28.10 - 03.11 || Comparative rent analysis (catastici) <br> Property ownership <br> Heritage ||
|-
| 04.11 - 10.11 || Analysis: <br> - Property ownership <br> - Comparative rent analysis <br> Prepare for the presentation ||
|-
| 11.11 - 17.11 || Midterm presentation on 14.11 <br> Continue analysis  ||
|-
| 18.11 - 24.11 || Finish property ownership analysis - Sommarioni & Catastici <br> Finish comparative rent analysis - Catastici ||
|-
| 25.11 - 01.12 || Start widow heritage analysis <br> Social aspect: see how many times words/titles are used to describe different groups of people (‘Vedova’, ‘Consorte’, …) <br> Start writing down findings in the wiki ||
|-
| 02.12 - 08.12 || Compare all the different analyses done and see if one can extract general trends for widows or interpret some of the results ||
|-
| 09.12 - 15.12 || Finish writing wiki <br> Prepare presentation ||
|-
| 16.12 - 22.12 || Deliver GitHub + wiki on 18.12 <br> Final presentation on 19.12 ||
|}
 
==Dataset presentation==
===Textual description===
 
==Methodology==
 
 
 
===Property ownership analysis===
For the porperty ownership analysis for the widows mentioned in the Catastici and Sommarioni a similar approach was used. First the widows where located using the keyword "vedova", meaning widow, and "consorte", meaning wife of dead husband. After filtering the datasets using row-wise text matching for these keywords, the entries of the widows where saved. These new data sets where then used as the basis of further analysis.
 
How specific should we be here? for every analysis give the exact mehtod or no
 
==Results==
===Catastici prop===
====general analysis====
====rent analysis====
===Sommarioni property analysis===
 
By using the methods used in [[#Property ownership analysis]] the following results were obtained. From in total 23400 entries in the Sommarioni, 659 contain widows.
 
 
Since the tenants renting the properties are not listed in the Sommarioni one can not say anything about the amount of widows renting. It is therefor only possible to analyse how many widows are owning property. One can also not make any statement about how many widows there where in general in Venice during that time, due to some widows owning multiple properties.
 
When looking at how much property one widow holds, its important to ensure that it's the same widow. When comparing the data it appears that in the 'owner' category there are 443 unique owners, whilst in the 'owner_standardised' there are only 360 unique widows. This means that there must be some typos and errors in the way the widows are written in the 'owner' section compared to the cleaned and standardised section, which is as expected.
 
For figuring out how many widows own multiple properties the 'owner_standardised' is used to ensure uniqueness.
 
As can be seen by the histogram, most widows only posess one property. The distribution has an exponential-like decrease.
 
 
[[File:Dis_prop_wid.png|width=250px|https://fdh.epfl.ch/images/3/32/Dis_prop_wid.png|Distribution of numbers of properties owned by a widows]]
 
Fraction of properties owned by widows and people per district
[[File:Frac_prop_wid_peop_dis.png|width=300px|height=200px|https://fdh.epfl.ch/images/e/ef/Frac_prop_wid_peop_dis.png|Fraction of properties owned by widows and people per district ]]
 
- talk about results
 
 
Avg area of widows properties compared to avg area of a property in the given district
[[File:Nom_avg_area_wid_dis.png|width=250px|https://fdh.epfl.ch/images/5/5d/Nom_avg_area_wid_dis.png|Normalised average area of properties owned by widows in a given district]]
 
The graph below shows what the average area of a property owned by a widows in a given district is, normalized by the average area of the properties in that district. This might give an indication of the wealth of the different districts. Though it has to be said, that the area given in the Sommarioni is likely computed from the vectorization available in the GeoJSON file.
 
As one can see from the graph, in the district Castello, the properties owned by the widows are around 40% larger then the ones owned by the general population. In Dorsoduro it's about the same. In the remaining regions, the properties owned by widows are generally smaller then average property. This might indicate that the widows had a worse economic situation.
 
What types of properties do widows own
 
[[File:Dis_ent_numb_qual.png|width=100px|https://fdh.epfl.ch/images/f/fc/Dis_ent_numb_qual.png|Number of quality given]]
 
This graph shows that some of the properties the widows own have multiple functions. The most common is to just have one function. But it is clear that a lot of the properties have 2 functions as well. 15 properties have three functions and 1 property even has four.
There are 555 entries of properties owned by widows which are being rented or at least partly. 104 entries of properties that are not being rented at all. Most of the properties that arent rented are vegetable gardens ("orto"). And "Sottoportico" which are covered walkways.
Apparently only 9 widows live in the property they own, this seems strange.
 
===Comparison===
====properties anlaysis comparison====
====heritage====
====vocabulary analysis====
 
==Discussion, limitations and quality assessments==
==Conclusion (summary) and continuations (where to go from here :) )==
==Deliverables==
 
<p>
<br>
    <span style="display: inline-block; padding: 8px 16px; background-color: #EFDABF; color: white; font-weight: bold; border-radius: 4px; margin-right: 10px;">
        [https://github.com/dhlab-class/fdh-2024-student-projects-rich-widows.git Our Github Repository]
    </span>
</p>
 
==Credits==
Course: Foundation of Digital Humanities (DH-405), EPFL
 
Professor: Frédéric Kaplan
 
Supervisor:
 
Authors: Eglantine Vialaneix, Nathanaël Lambert, Lisa Marie Njå
 
Date: 18.12.2024
 
==References==
 
 
==For our eyes only==
 
Draft of the report plan:
 
 
TODO (guideline):
-Project plan and milestones (5%) (>300 words)
-Motivation and description of the deliverables (5%) (>300 words)
-Detailed description of the methods (5%) (>500 words)
-Quality assessment and discussion of limitations (5%) (>300 words)
 
TODO:
- redo the plan table (nicely) - is it nice enough?
-
 
TASK SPILT:
- everyone write down their own results, discussion and limitations (merge the common ones)
- we later split the rest of common sections
 
 
===Motivation===
 
 
This is not really a motivation of the project, but rather a project description.
 
 
'''Goal''':
The goal of this project is to analyze the socio-economic status and property dynamics of widows as recorded in two historical datasets, the Catastici and the Sommarioni. By comparing these datasets, the project aims to uncover patterns in property ownership, tenancy, and rent payments among widows and to investigate changes in their living conditions over time.
 
'''Who are the widows recorded in the Catastici and Sommarioni datasets?'''
This phase will involve locating and identifying widows in both datasets, gathering key demographic information (such as name, property status, and rent details), and understanding their distribution.
 
'''Are widows more likely to be property owners (landlords) or tenants?'''
This question focuses on determining the proportion of widows who owned properties versus those who rented them. Understanding this ratio will provide insights into their economic standing.
 
'''Do widows pay different rents compared to other tenants for similar types of properties?'''
Here, the project will investigate whether widows receive any preferential treatment or experience discrimination in terms of rent compared to other demographic groups in the datasets.
 
'''How does the ownership or tenancy of widows change between the two datasets (Catastici and Sommarioni)?'''
By comparing property ownership or tenancy records between the two datasets, this question aims to explore whether widows' economic positions (through property ownership or rent status) improve or decline over time. For example, do they acquire more properties, or is there evidence of downsizing?
 
'''What patterns emerge from comparing widows across the two years?'''
By analyzing widows’ presence in both datasets, this phase will search for trends regarding widowhood and economic mobility. For instance, did certain social classes of widows fare better or worse in retaining or expanding their property holdings?
 
 
 
'''Extra''':
If time look at the Tassini and see if and how they mention widows
 
===Historical background===
 
Where do we want to find this information? What are good sources to use? --> Google Scolar?
 
When reading about the history, add knowledge here with references to the sources used.
 
Venice is part of the [https://en.wikipedia.org/wiki/Republic_of_Venice Venetian Republic]. It [https://en.wikipedia.org/wiki/Fall_of_the_Republic_of_Venice falls] to [https://en.wikipedia.org/wiki/Napoleon Napoleon] in 1796.
Venice is given to the Austrian Monarchy by the French Republic as part of the [https://en.wikipedia.org/wiki/Treaty_of_Campo_Formio Treaty of Campo Formio]. Then it became French again and then Austrian.
 
https://www.napoleon-series.org/research/government/diplomatic/c_campoformio1.html
 
There is no major Palgue Epidemy during our period of focus [https://historywalksvenice.com/article/the-black-plague/a-chronology-of-the-black-plague-in-venice/]
 
The Venetian Society has strong gender roles and has a [https://historywalksvenice.com/article/the-republic-of-venice/citizen-of-the-republic-of-venice/ class system]:
 
- Patricians (there names are probably in the [https://en.wikipedia.org/wiki/Libro_d%27Oro libro d'Oro]
- Citizens (Popolani)
- Commoners
 
 
I wish I had access to : [https://academic.oup.com/book/55872/chapter-abstract/439226176?redirectedFrom=fulltext]
 
this looks cool : [https://link.springer.com/chapter/10.1007/978-3-319-97502-3_16]
 
===Project Plan and Milestones===
 
{| class="wikitable"
|+ Workflow
|-
! Week !! Task !! Status
|-
| 07.10 - 13.10 || Define project and structure work || Done
|-
| 14.10 - 20.10 ||
* Write code to extract widow data ||
* Read historical papers on widows and Venice || Done
|-
| 21.10 - 27.10 || Autumn vacation ||
|-
| 28.10 - 03.11 ||
* Comparative rent analysis ( catastici)
* Property ownership
* Heritage ||
|-
| 04.11 - 10.11 ||
* Analysis:
** Property ownership
** Comparative rent analysis
* Prepare for the presentation ||
|-
| 11.11 - 17.11 ||
* Midterm presentation on 14.11
* Continue analysis (details to be specified) ||
|-
| 18.11 - 24.11 || Finish property ownership analysis - Sommarioni & Catastici
Finish comparative rent analysis - Catastici
||
|-
| 25.11 - 01.12 || - Start widow heritage analysis
- Social aspect: see how many times words/titles are used to describe different groups of people ( ‘Vedova’,  ‘Consorte’, …)
- Start writing down findings in the wiki
||
|-
| 02.12 - 08.12 || Compare all the different analysis done and see if one can extract general trends for widows or interpret some of the results
||
|-
| 09.12 - 15.12 || - Finish writing wiki
- Prepare presentation
||
|-
| 16.12 - 22.12 || Deliver GitHub + wiki on 18.12 and final presentation on 19.12 ||
|}
 
===Methodology===
====Data====
=====Catastici=====
 
{| class="wikitable"
|+ Descriptions of the Columns
|-
! Column Name !! Description !! coverage
|-
| uidx || ?
|-
| id || ?
|-
| owner_name || The name of the owner associated with the record.
|-
| owner_code || code of owner type
|-
| owner_count ||  number of owners (type int)
|-
| owner_count_remark || remark for owner count if exact number is not applicable (e.g. fratelli)
|-
| owner_entity || owner entity name (blank if owner is not an entity)
|-
| owner_entity_group || owner entity group standardisation (blank if owner is not an entity)
|-
| owner_first_name || owner first name (blank if owner is not an person)
|-
| owner_family_name || owner last name (blank if owner is not an person)
|-
| owner_family_group || owner family group standardisation (blank if owner is not an person)
|-
| owner_title || owner title (blank if owner has not title)
|-
| owner_title_std || standardisation or propagation of owner title
|-
| owner_mestiere || owner mestiere (blank if owner has no mestiere)
|-
| owner_mestiere_std || standardisation of owner title mestiere
|-
| ten_name || Name of the tenants.
|-
| function || ?
|-
| an_rendi || ?
|-
| id_napo || whenever found, the correspondingparcel in the Sommarioni 1808
|-
| quantity_income || ?
|-
| quality_income || ?
|-
| author || ?
|-
| place || ?
|-
| sestiere || the sestiere (district) of the entry as an acronym. Possible values are SM (San Marco), CS (Castello), CC/CN (Cannaregio), SP (San Polo), SC (Santa Croce) and DD (Dorsoduro)
|-
| uid || ?
|-
| path_img || ?
|-
| geometry || single point coordinate where the parcel is located in CRS84 format
|-
| parish_std || standardized name of the parish
|}
 
{| class="wikitable"
|+ Dictionary of useful words and idioms
|-
! Italian !! English !! Description
|-
| vedova || widow || -
|-
| mestiere || profession || -
|-
| parrocchia || parish || [https://www.europenowjournal.org/2023/01/02/new-saints-in-late-mediaeval-venice-1200-1500-a-typological-study-by-karen-e-mccluskey/ Parishes in Venice] were local ecclesiastical districts, each centered around a parish church. Every house in Venice belonged to a specific parish, creating a network of smaller communities within the larger city.
|-
| sestiere || district of Venice || The name given to the  [https://blog.viewsonvenice.com/can-you-explain-the-special-italian-venetian-terms-that-i-may-come-across-while-in-venice/ districts of Venice]: San Marco, San Polo, Santa Croce, Dorsoduro (which includes the island of Giudecca), Castello, Cannaregio.
|-
| frateli || brothers || plural of fratello
|-
| sorelle || sisters || plural of sorella
|-
| ved || widow of || short for vedova
|-
| quondam || son/daughter of || literraly : previously
|-
| fratelli quondam || this person + his brothers from the the father || -
|-
| fu di || of the late man || like "quondam" but the father is dead
|-
| q.m  || abrevation of quondam ||
|-
|sudett-o/-a/-i || part of an other place || in the table sometimes multiple rows in a row belong to one place
|-
| consorte || married with || husband is dead
|-
| della fu || of the late woman ||
|}
 
=====Sommarioni=====
Is a cadaster from 1808 showing the different properties in Venice (parcels) and their assigned parcel number. The information is given in a tabular form. Information includes:
- parcel numbers: relates to a certain property
- owner of the given property
-...
 
====Analysis====
 
=====What data is comparable between the two datasets=====
* function of property
** Catastici it is mentioned as function
** Sommarioni it is mentioned as quality
 
*owners
*
 
===Results===
Should include graphs and plots of the data/ just some data visualisation
 
Interpretation of the data
 
it's essential to contextualize the findings within the broader political and economic shifts in Venice (e.g., Napoleonic occupation, decline of the Republic). How did these events impact inheritance patterns or gender roles in property ownership?
 
===Deliverables===
The GitHub page of this project can be found at the following address: [https://github.com/dhlab-class/fdh-2024-student-projects-rich-widows.git Rich Widows]
===Limitations===
what limitations did our analysis have, was the data lacking.
How sure are we that the results presented are true?
 
====Credits====
Course: Foundation of Digital Humanities (DH-405), EPFL
 
Professor: Frédéric Kaplan
 
Supervisor:
 
Authors: Eglantine Vialaneix, Nathanaël Lambert, Lisa Marie Njå
 
Date: 18.12.2024
 
====References====

Latest revision as of 15:33, 3 December 2024

Introduction (+ historical background)

Motivation (to see if to include with intro)

Project Plan and Milestones

Workflow
Week Task Status
07.10 - 13.10 Define project and structure work Done
14.10 - 20.10 Write code to extract widow data
Read historical papers on widows and Venice		 Done
21.10 - 27.10 Autumn vacation
28.10 - 03.11 Comparative rent analysis (catastici)
Property ownership
Heritage
04.11 - 10.11 Analysis:
- Property ownership
- Comparative rent analysis
Prepare for the presentation
11.11 - 17.11 Midterm presentation on 14.11
Continue analysis
18.11 - 24.11 Finish property ownership analysis - Sommarioni & Catastici
Finish comparative rent analysis - Catastici
25.11 - 01.12 Start widow heritage analysis
Social aspect: see how many times words/titles are used to describe different groups of people (‘Vedova’, ‘Consorte’, …)
Start writing down findings in the wiki
02.12 - 08.12 Compare all the different analyses done and see if one can extract general trends for widows or interpret some of the results
09.12 - 15.12 Finish writing wiki
Prepare presentation
16.12 - 22.12 Deliver GitHub + wiki on 18.12
Final presentation on 19.12

Dataset presentation

Textual description

Methodology

Property ownership analysis

For the porperty ownership analysis for the widows mentioned in the Catastici and Sommarioni a similar approach was used. First the widows where located using the keyword "vedova", meaning widow, and "consorte", meaning wife of dead husband. After filtering the datasets using row-wise text matching for these keywords, the entries of the widows where saved. These new data sets where then used as the basis of further analysis.

How specific should we be here? for every analysis give the exact mehtod or no

Results

Catastici prop

general analysis

rent analysis

Sommarioni property analysis

By using the methods used in #Property ownership analysis the following results were obtained. From in total 23400 entries in the Sommarioni, 659 contain widows.


Since the tenants renting the properties are not listed in the Sommarioni one can not say anything about the amount of widows renting. It is therefor only possible to analyse how many widows are owning property. One can also not make any statement about how many widows there where in general in Venice during that time, due to some widows owning multiple properties.

When looking at how much property one widow holds, its important to ensure that it's the same widow. When comparing the data it appears that in the 'owner' category there are 443 unique owners, whilst in the 'owner_standardised' there are only 360 unique widows. This means that there must be some typos and errors in the way the widows are written in the 'owner' section compared to the cleaned and standardised section, which is as expected.

For figuring out how many widows own multiple properties the 'owner_standardised' is used to ensure uniqueness.

As can be seen by the histogram, most widows only posess one property. The distribution has an exponential-like decrease.


Distribution of numbers of properties owned by a widows

Fraction of properties owned by widows and people per district Fraction of properties owned by widows and people per district

- talk about results


Avg area of widows properties compared to avg area of a property in the given district Normalised average area of properties owned by widows in a given district

The graph below shows what the average area of a property owned by a widows in a given district is, normalized by the average area of the properties in that district. This might give an indication of the wealth of the different districts. Though it has to be said, that the area given in the Sommarioni is likely computed from the vectorization available in the GeoJSON file.

As one can see from the graph, in the district Castello, the properties owned by the widows are around 40% larger then the ones owned by the general population. In Dorsoduro it's about the same. In the remaining regions, the properties owned by widows are generally smaller then average property. This might indicate that the widows had a worse economic situation.

What types of properties do widows own

Number of quality given

This graph shows that some of the properties the widows own have multiple functions. The most common is to just have one function. But it is clear that a lot of the properties have 2 functions as well. 15 properties have three functions and 1 property even has four. There are 555 entries of properties owned by widows which are being rented or at least partly. 104 entries of properties that are not being rented at all. Most of the properties that arent rented are vegetable gardens ("orto"). And "Sottoportico" which are covered walkways. Apparently only 9 widows live in the property they own, this seems strange.

Comparison

properties anlaysis comparison

heritage

vocabulary analysis

Discussion, limitations and quality assessments

Conclusion (summary) and continuations (where to go from here :) )

Deliverables


Our Github Repository

Credits

Course: Foundation of Digital Humanities (DH-405), EPFL

Professor: Frédéric Kaplan

Supervisor:

Authors: Eglantine Vialaneix, Nathanaël Lambert, Lisa Marie Njå

Date: 18.12.2024

References

For our eyes only

Draft of the report plan:


TODO (guideline): -Project plan and milestones (5%) (>300 words) -Motivation and description of the deliverables (5%) (>300 words) -Detailed description of the methods (5%) (>500 words) -Quality assessment and discussion of limitations (5%) (>300 words)

TODO: - redo the plan table (nicely) - is it nice enough? -

TASK SPILT: - everyone write down their own results, discussion and limitations (merge the common ones) - we later split the rest of common sections


Motivation

This is not really a motivation of the project, but rather a project description.


Goal: The goal of this project is to analyze the socio-economic status and property dynamics of widows as recorded in two historical datasets, the Catastici and the Sommarioni. By comparing these datasets, the project aims to uncover patterns in property ownership, tenancy, and rent payments among widows and to investigate changes in their living conditions over time.

Who are the widows recorded in the Catastici and Sommarioni datasets? This phase will involve locating and identifying widows in both datasets, gathering key demographic information (such as name, property status, and rent details), and understanding their distribution.

Are widows more likely to be property owners (landlords) or tenants? This question focuses on determining the proportion of widows who owned properties versus those who rented them. Understanding this ratio will provide insights into their economic standing.

Do widows pay different rents compared to other tenants for similar types of properties? Here, the project will investigate whether widows receive any preferential treatment or experience discrimination in terms of rent compared to other demographic groups in the datasets.

How does the ownership or tenancy of widows change between the two datasets (Catastici and Sommarioni)? By comparing property ownership or tenancy records between the two datasets, this question aims to explore whether widows' economic positions (through property ownership or rent status) improve or decline over time. For example, do they acquire more properties, or is there evidence of downsizing?

What patterns emerge from comparing widows across the two years? By analyzing widows’ presence in both datasets, this phase will search for trends regarding widowhood and economic mobility. For instance, did certain social classes of widows fare better or worse in retaining or expanding their property holdings?


Extra: If time look at the Tassini and see if and how they mention widows

Historical background

Where do we want to find this information? What are good sources to use? --> Google Scolar?

When reading about the history, add knowledge here with references to the sources used.

Venice is part of the Venetian Republic. It falls to Napoleon in 1796. Venice is given to the Austrian Monarchy by the French Republic as part of the Treaty of Campo Formio. Then it became French again and then Austrian.

https://www.napoleon-series.org/research/government/diplomatic/c_campoformio1.html

There is no major Palgue Epidemy during our period of focus [1]

The Venetian Society has strong gender roles and has a class system:

- Patricians (there names are probably in the libro d'Oro - Citizens (Popolani) - Commoners


I wish I had access to : [2]

this looks cool : [3]

Project Plan and Milestones

Workflow
Week Task Status
07.10 - 13.10 Define project and structure work Done
14.10 - 20.10
  • Write code to extract widow data ||
  • Read historical papers on widows and Venice || Done
21.10 - 27.10 Autumn vacation
28.10 - 03.11
  • Comparative rent analysis ( catastici)
  • Property ownership
  • Heritage ||
04.11 - 10.11
  • Analysis:
    • Property ownership
    • Comparative rent analysis
  • Prepare for the presentation ||
11.11 - 17.11
  • Midterm presentation on 14.11
  • Continue analysis (details to be specified) ||
18.11 - 24.11 Finish property ownership analysis - Sommarioni & Catastici

Finish comparative rent analysis - Catastici

25.11 - 01.12 - Start widow heritage analysis

- Social aspect: see how many times words/titles are used to describe different groups of people ( ‘Vedova’, ‘Consorte’, …) - Start writing down findings in the wiki

02.12 - 08.12 Compare all the different analysis done and see if one can extract general trends for widows or interpret some of the results
09.12 - 15.12 - Finish writing wiki

- Prepare presentation

16.12 - 22.12 Deliver GitHub + wiki on 18.12 and final presentation on 19.12

Methodology

Data

Catastici
Descriptions of the Columns
Column Name Description coverage
uidx ?
id ?
owner_name The name of the owner associated with the record.
owner_code code of owner type
owner_count number of owners (type int)
owner_count_remark remark for owner count if exact number is not applicable (e.g. fratelli)
owner_entity owner entity name (blank if owner is not an entity)
owner_entity_group owner entity group standardisation (blank if owner is not an entity)
owner_first_name owner first name (blank if owner is not an person)
owner_family_name owner last name (blank if owner is not an person)
owner_family_group owner family group standardisation (blank if owner is not an person)
owner_title owner title (blank if owner has not title)
owner_title_std standardisation or propagation of owner title
owner_mestiere owner mestiere (blank if owner has no mestiere)
owner_mestiere_std standardisation of owner title mestiere
ten_name Name of the tenants.
function ?
an_rendi ?
id_napo whenever found, the correspondingparcel in the Sommarioni 1808
quantity_income ?
quality_income ?
author ?
place ?
sestiere the sestiere (district) of the entry as an acronym. Possible values are SM (San Marco), CS (Castello), CC/CN (Cannaregio), SP (San Polo), SC (Santa Croce) and DD (Dorsoduro)
uid ?
path_img ?
geometry single point coordinate where the parcel is located in CRS84 format
parish_std standardized name of the parish
Dictionary of useful words and idioms
Italian English Description
vedova widow -
mestiere profession -
parrocchia parish Parishes in Venice were local ecclesiastical districts, each centered around a parish church. Every house in Venice belonged to a specific parish, creating a network of smaller communities within the larger city.
sestiere district of Venice The name given to the districts of Venice: San Marco, San Polo, Santa Croce, Dorsoduro (which includes the island of Giudecca), Castello, Cannaregio.
frateli brothers plural of fratello
sorelle sisters plural of sorella
ved widow of short for vedova
quondam son/daughter of literraly : previously
fratelli quondam this person + his brothers from the the father -
fu di of the late man like "quondam" but the father is dead
q.m abrevation of quondam
sudett-o/-a/-i part of an other place in the table sometimes multiple rows in a row belong to one place
consorte married with husband is dead
della fu of the late woman
Sommarioni

Is a cadaster from 1808 showing the different properties in Venice (parcels) and their assigned parcel number. The information is given in a tabular form. Information includes: - parcel numbers: relates to a certain property - owner of the given property -...

Analysis

What data is comparable between the two datasets
  • function of property
    • Catastici it is mentioned as function
    • Sommarioni it is mentioned as quality
  • owners

Results

Should include graphs and plots of the data/ just some data visualisation

Interpretation of the data

it's essential to contextualize the findings within the broader political and economic shifts in Venice (e.g., Napoleonic occupation, decline of the Republic). How did these events impact inheritance patterns or gender roles in property ownership?

Deliverables

The GitHub page of this project can be found at the following address: Rich Widows

Limitations

what limitations did our analysis have, was the data lacking. How sure are we that the results presented are true?

Credits

Course: Foundation of Digital Humanities (DH-405), EPFL

Professor: Frédéric Kaplan

Supervisor:

Authors: Eglantine Vialaneix, Nathanaël Lambert, Lisa Marie Njå

Date: 18.12.2024

References

Retrieved from "http://fdh.epfl.ch/index.php?title=Widows_in_Venice&oldid=12463"