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INFORMATION VISUALIZATION
& GRAPHICS
               Dr. N. Sai Bhaskar Reddy
               saibhaskarnakka@gmail.com
A TOOL USEFUL FOR SELECTION OF COLOURS

 FOR THE BLACK   AND WHITE PRINTOUTS
ANALYSIS OF % OF FEMALE LITERATES
& % OF CHILDREN LESS THAN 6 YEARS
– MAHABUBNAGAR DISTRICT
This analysis was done to see if there is any
positive relationship between the female literacy
and the family planning, with reference to the 2001
census data of Mahabubnagar District.
The scatter plots and the trend line graphic tools
were used for this exercise.
Although in some Mandals some positive
correlation trends are observable but are it is not
considerable.
DRINKING WATER ANALYSIS, ANANTHAPUR DISTRICT
The conditional format and bar graphs are used for
classification of adequate, inadequate drinking water
Mandals in Ananthapur District. Finally the Mandals were
divided into 4 classes.
Class 1: <25 lts per day per person. Which are most important,
measures for the availability of drinking water need to be taken up
in these habitations immediately on priority.
Class 2 : In these Mandals the no. of habitations are more and
proportionately the percentage of villages with water problem are
also high.
Class 3 : In these Mandals the percentage of habitations with
acute problem and also with 25 to 50 lts of PCA are also more.
Class 4 : These are better off villages; where the sanitation and
protection measures are needed to be take-up.
FLUORIDE

                             FLUORIDE EFFECTED HABITATIONS
                                 ANANTHAPUR DISTRICT


                                                                          31.52 percent of the habitations are not
                    3,000



                    2,500                                                 having safe drinking water (i.e., >2 ppm
                                                                          of Fluoride). The fluoride affected
NO OF HABITATIONS




                    2,000


                                                                          habitations are found spatially distributed
                    1,500

                                                                          as local geology also plays an important.
                    1,000



                     500



                       0
                            FL < 0    FL = 2            FL = 3   FL > 4
                                               IN PPM
HEALTH DATA ANALYSIS                           2001        -
 ANDHRA PRADESH, INDIA

The Objective is to identify the seasonality of the occurrence of
diseases and most commonly occurring diseases.

The analysis would be helpful for early planning and mitigation.

All other diseases constitute very high percentage up to 73.52
percent; therefore the conclusions are related to the defined
26.48 percent diseases, which are categorized into 28 types.

For analysis weightage is given to each of the disease and
conditional formatting is done for sorting and classification.
MJ       J       A       S       O N D J F           M A
                                              3   3       4       4       4   3   1   1   2   2   1   2
Acute Diarrhoeal Diseses (Including G.E. & Cholera)
                                               2 2        4       4       4   3   1   1   2   3   1   3
Amoebiasis
                                               2 2        3       4       4   4   1   1   1   2   3   3
Snake Bites
                                               1 2        3       4       4   4   3   3   2   1   1   2
Meningo Coccal Meningitis
                                               3 2        3       4       4   4   1   1   2   3   1   2
Gonococcal Infections
                                               1 2        3       4       4   4   3   3   1   2   2   1
Helminthiasis
                                               2 4        2       4       4   3   3   3   1   2   1   1
Trachoma
                                               1 2        4       3       4   4   1   1   3   3   2   2
All Other Diseases
                                               4 4        3       3       4   3   1   1   1   2   2   2
Measels
                                               2 3        3       3       4   4   1   1   2   2   1   4
Diabetic mellitus
                                               2 2        3       3       4   4   1   1   3   4   2   1
Acute Respiratory Infections
                                               4 3        2       3       4   4   1   1   1   2   2   3
Enteric Fever
                                               2 3        2       3       4   1   1   1 4     2   3 4
Malaria
                                               3 2        1       3       4   2   1   1 4     2   3 4
Pulmonary Tuberculosis
                                               4 4        3       2       4   2   1   1   3   3   1   2
Neoplasams
                                               3 3        4       4       3   4   1   1   2   1   2   2
Syphilis
                                               2 4        4       3       3   4   1   1   1   3   2   2
Pneumonia
                                               1 1        2       2       2   3   3   4   1   4   4   3
Whooping cough
                                               1 3        4       3       2   3   1   1   2   1   4   4
Rabies
                                               4 1        1       2       3   2   1   3   2   3   2   4
Neonatal Tetanus
                                               3 4        4       2       2   1   1   1   3   3   2   4
Other Accidents & Injuries
                                               2 4        2       4       1   4   1   1   3   3   3   2
Diptheria
                                               1 4        2       3       3   2   1   1   3   4   2   4
Viral Hepatitis
                                               3 2        4       3       1   2   1   1   4   2   3   4
Ischaemic Heart Disease
                                               3 1        4       3       2   2   1   1   4   4   2   3
Flurosis
                                               3 3        4       1       1   1   2   2   4   4   2   3
J.E.
                                               1 3        1       3       1   1   1   1   4   4   4   3
Yaws
                                               3 2        3       1       1   2   1   1   4   4   4   3
Tetanus other than neonatal
                                               1 1        3       1       1   1   1   1   4   4   4   3
Acute Polio Myelitis
                                              2   3       4       4       4   3   1   1   2   3   1   2
CODING OF THE SPATIAL
   INFORMATION AND RELATIONSHIPS
It is always preferable to link
                                     Mobile - Immobile              Mobile - Mobile
the immobile spatial information
to the mobile information.
MOBILE: The things with time       SHGs – Watershed               Input / Output cost - Activity

(here about 5 to 10 years are
                                     Immobile - Immobile            Immobile - Mobile
envisaged) would change.
IMMOBILE: Things remain
static for longer periods of time   Habitation   -       Watershed Watershed    structure           –
                                    structures                     Member of UG
for example: Habitation, land,
tank, structure, residence, etc
Arrows indicate the
information is to be linked to.
PRESENTATION OF PICTURES
The presentation of the pictures to
the rural people for better
understanding and communication.
These learnings were from the
works of Ms. Levy Renvoisy she
developed the rules for creating
meaningful sketches for information
communication with the rural people.
It helps us to present pictures to the
villagers better for all kinds of
communication, learning and
understanding.

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Infomation visualisation and graphics sai bhaskar

  • 1. INFORMATION VISUALIZATION & GRAPHICS Dr. N. Sai Bhaskar Reddy saibhaskarnakka@gmail.com
  • 2.
  • 3.
  • 4. A TOOL USEFUL FOR SELECTION OF COLOURS FOR THE BLACK AND WHITE PRINTOUTS
  • 5. ANALYSIS OF % OF FEMALE LITERATES & % OF CHILDREN LESS THAN 6 YEARS – MAHABUBNAGAR DISTRICT
  • 6. This analysis was done to see if there is any positive relationship between the female literacy and the family planning, with reference to the 2001 census data of Mahabubnagar District. The scatter plots and the trend line graphic tools were used for this exercise. Although in some Mandals some positive correlation trends are observable but are it is not considerable.
  • 7. DRINKING WATER ANALYSIS, ANANTHAPUR DISTRICT
  • 8. The conditional format and bar graphs are used for classification of adequate, inadequate drinking water Mandals in Ananthapur District. Finally the Mandals were divided into 4 classes. Class 1: <25 lts per day per person. Which are most important, measures for the availability of drinking water need to be taken up in these habitations immediately on priority. Class 2 : In these Mandals the no. of habitations are more and proportionately the percentage of villages with water problem are also high. Class 3 : In these Mandals the percentage of habitations with acute problem and also with 25 to 50 lts of PCA are also more. Class 4 : These are better off villages; where the sanitation and protection measures are needed to be take-up.
  • 9. FLUORIDE FLUORIDE EFFECTED HABITATIONS ANANTHAPUR DISTRICT 31.52 percent of the habitations are not 3,000 2,500 having safe drinking water (i.e., >2 ppm of Fluoride). The fluoride affected NO OF HABITATIONS 2,000 habitations are found spatially distributed 1,500 as local geology also plays an important. 1,000 500 0 FL < 0 FL = 2 FL = 3 FL > 4 IN PPM
  • 10. HEALTH DATA ANALYSIS 2001 - ANDHRA PRADESH, INDIA The Objective is to identify the seasonality of the occurrence of diseases and most commonly occurring diseases. The analysis would be helpful for early planning and mitigation. All other diseases constitute very high percentage up to 73.52 percent; therefore the conclusions are related to the defined 26.48 percent diseases, which are categorized into 28 types. For analysis weightage is given to each of the disease and conditional formatting is done for sorting and classification.
  • 11. MJ J A S O N D J F M A 3 3 4 4 4 3 1 1 2 2 1 2 Acute Diarrhoeal Diseses (Including G.E. & Cholera) 2 2 4 4 4 3 1 1 2 3 1 3 Amoebiasis 2 2 3 4 4 4 1 1 1 2 3 3 Snake Bites 1 2 3 4 4 4 3 3 2 1 1 2 Meningo Coccal Meningitis 3 2 3 4 4 4 1 1 2 3 1 2 Gonococcal Infections 1 2 3 4 4 4 3 3 1 2 2 1 Helminthiasis 2 4 2 4 4 3 3 3 1 2 1 1 Trachoma 1 2 4 3 4 4 1 1 3 3 2 2 All Other Diseases 4 4 3 3 4 3 1 1 1 2 2 2 Measels 2 3 3 3 4 4 1 1 2 2 1 4 Diabetic mellitus 2 2 3 3 4 4 1 1 3 4 2 1 Acute Respiratory Infections 4 3 2 3 4 4 1 1 1 2 2 3 Enteric Fever 2 3 2 3 4 1 1 1 4 2 3 4 Malaria 3 2 1 3 4 2 1 1 4 2 3 4 Pulmonary Tuberculosis 4 4 3 2 4 2 1 1 3 3 1 2 Neoplasams 3 3 4 4 3 4 1 1 2 1 2 2 Syphilis 2 4 4 3 3 4 1 1 1 3 2 2 Pneumonia 1 1 2 2 2 3 3 4 1 4 4 3 Whooping cough 1 3 4 3 2 3 1 1 2 1 4 4 Rabies 4 1 1 2 3 2 1 3 2 3 2 4 Neonatal Tetanus 3 4 4 2 2 1 1 1 3 3 2 4 Other Accidents & Injuries 2 4 2 4 1 4 1 1 3 3 3 2 Diptheria 1 4 2 3 3 2 1 1 3 4 2 4 Viral Hepatitis 3 2 4 3 1 2 1 1 4 2 3 4 Ischaemic Heart Disease 3 1 4 3 2 2 1 1 4 4 2 3 Flurosis 3 3 4 1 1 1 2 2 4 4 2 3 J.E. 1 3 1 3 1 1 1 1 4 4 4 3 Yaws 3 2 3 1 1 2 1 1 4 4 4 3 Tetanus other than neonatal 1 1 3 1 1 1 1 1 4 4 4 3 Acute Polio Myelitis 2 3 4 4 4 3 1 1 2 3 1 2
  • 12. CODING OF THE SPATIAL INFORMATION AND RELATIONSHIPS It is always preferable to link Mobile - Immobile Mobile - Mobile the immobile spatial information to the mobile information. MOBILE: The things with time SHGs – Watershed Input / Output cost - Activity (here about 5 to 10 years are Immobile - Immobile Immobile - Mobile envisaged) would change. IMMOBILE: Things remain static for longer periods of time Habitation - Watershed Watershed structure – structures Member of UG for example: Habitation, land, tank, structure, residence, etc Arrows indicate the information is to be linked to.
  • 13. PRESENTATION OF PICTURES The presentation of the pictures to the rural people for better understanding and communication. These learnings were from the works of Ms. Levy Renvoisy she developed the rules for creating meaningful sketches for information communication with the rural people. It helps us to present pictures to the villagers better for all kinds of communication, learning and understanding.